January 7:Big-data single version of the truth? :http://www.linkedin.com/groups/Bigdata-single-version-truth-3981538.S.201824646?qid=5d2f9ab3-481e-4699-8cb6-7ef74d005120&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
January 8:Hadoop uber-alles? Capacity limitations have
yet to be reached:http://www.linkedin.com/groups/Hadoop-uberalles-Capacity-limitations-have-35222.S.202253198?qid=e9484b68-608d-4295-9ae9-c59d54502b4f&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
January 9:Data of desire?:http://www.linkedin.com/groups/Data-desire-3981538.S.202722600?qid=807e72bb-8d59-4979-8296-48c99e466ca8&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
January 10:Patient similarity analytics?:http://www.linkedin.com/groups/Patient-similarity-analytics-35222.S.203119413?qid=016f2421-de02-44eb-863f-b5dac9fce3cd&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
January 11:Security of big data?:http://www.linkedin.com/groups/Security-big-data-3981538.S.203533563?view=&gid=3981538&type=member&item=203533563&trk=NUS_DISC_Q-ttle
January 14:Big data in the cloud? Identifying priority
applications:http://www.linkedin.com/groups/Big-data-in-cloud-Identifying-3981538.S.204203496?view=&gid=3981538&type=member&item=204203496
January 15:Big data in the cloud? Aligning approaches:http://www.linkedin.com/groups/Big-data-in-cloud-Aligning-35222.S.204646506?view=&gid=35222&type=member&item=204646506&trk=NUS_DISC_Q-ttle
January 16:Big data in the cloud? Integrating disparate
service layers:http://www.linkedin.com/groups/Big-data-in-cloud-Integrating-3981538.S.204647698?view=&gid=3981538&type=member&item=204647698&trk=NUS_DISC_Q-ttle
January 17:Big data in the cloud? Establishing agile
development practices:http://www.linkedin.com/groups/Big-data-in-cloud-Establishing-35222.S.204649302?qid=ade59496-d390-4782-8a85-0fc169120c9b&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
January 18:Big data in the cloud? Governing a sprawling
business resource:http://www.linkedin.com/groups/Big-data-in-cloud-Governing-3981538.S.205865929?view=&gid=3981538&type=member&item=205865929
January 21:All in memory? Accelerating all analytics
& transactions:http://www.linkedin.com/groups/All-in-memory-Accelerating-all-3981538.S.206545060?qid=c69545f5-5870-41f1-b325-fa26f51af6be&trk=group_most_recent_rich-0-b-ttl&goback=%2Egmr_3981538
January 22:Storage optimization?:http://www.linkedin.com/groups/Storage-optimization-35222.S.206931426?qid=1b17093a-3d34-42c8-9a89-69990bfb1fdc&trk=group_most_recent_rich-0-b-ttl&goback=%2Egmr_35222
January 23:Queryable big-data archive?:http://www.linkedin.com/groups/Queryable-bigdata-archive-3981538.S.207343375?qid=2d93085d-6db1-4747-8709-5ea4a422db53&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
January 24:NoSQL?:http://www.linkedin.com/groups/NoSQL-35222.S.207754889?qid=5e72b3a1-1011-4d5a-a1b2-cd2dad700f16&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
January 25:Graph analysis?:http://www.linkedin.com/groups/Graph-analysis-3981538.S.208111359?qid=d4fd28d5-e230-4b05-953b-c3e8623aeada&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
January 28:All in memory? Speed of next best actions:http://www.linkedin.com/groups/All-in-memory-Speed-next-3981538.S.208738993?qid=c7a5cfbf-b2e3-4e08-8ee4-c0ec9ad7b14a&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
January 29:Graph
analysis? Glimpsing the shape of engagement:http://www.linkedin.com/groups/Graph-analysis-Glimpsing-shape-engagement-35222.S.209161917?qid=faf5d86e-377b-41e9-a6e9-0f93f574ea99&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
January 30:NoSQL? From herding cats to taming tigers:http://www.linkedin.com/groups/NoSQL-From-herding-cats-taming-3981538.S.209534773?view=&gid=3981538&type=member&item=209534773&trk=NUS_DISC_Q-ttle
January 31:Big BI? Hadoop in your operational
decision-support environment:http://www.linkedin.com/groups/Big-BI-Hadoop-in-your-35222.S.209873013?qid=31dd5119-331c-4353-9a2d-8f5c6d307c68&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
February 1:Small data? The
backlash against big data:http://www.linkedin.com/groups/Small-data-backlash-against-big-3981538.S.210249219?qid=b299eb96-e411-4c37-9592-c52bf09251eb&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
February 4:Big-data maturity? Paradigm's far from played
out:http://www.linkedin.com/groups/Bigdata-maturity-Paradigms-far-from-3981538.S.210859079?qid=c236cfb7-32d0-4b74-8d58-db0c29938a3d&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
February 5:Big-data maturity? Reinventing the
production-readiness wheel for new platforms:http://www.linkedin.com/groups/Bigdata-maturity-Reinventing-productionreadiness-wheel-35222.S.211260482?qid=42d18d96-439d-4835-ad63-244f03948119&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
February 6:Big-data maturity? Waiting for an innovation
plateau that may take years:http://www.linkedin.com/groups/Bigdata-maturity-Waiting-innovation-plateau-3981538.S.211600111?qid=f3afba59-cb3f-4361-8cd9-d05e99d20639&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
February 7:Big-data maturity? Standards will signal when
it's approaching:http://www.linkedin.com/groups/Bigdata-maturity-Standards-will-signal-35222.S.211962406?qid=db2bfee9-9728-4cb0-a677-451c8363dc03&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
February 8:Big-data maturity? As soon as users
crystallize clear best practices :http://www.linkedin.com/groups/Bigdata-maturity-As-soon-as-3981538.S.212304846?qid=1b54b0c5-c70d-440f-939b-dc4333075a20&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
February 11:Big data under control? The challenge of new
platforms:http://www.linkedin.com/groups/Big-data-under-control-challenge-3981538.S.212929557?view=&gid=3981538&type=member&item=212929557&trk=NUS_DISC_Q-ttle
February 12:Big data under control? The challenge of new
domains:http://www.linkedin.com/groups/Big-data-under-control-challenge-35222.S.213434594?qid=d0281ac2-a63e-4624-a004-f24167cada2a&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
February 13:Big data under control? The challenge of new
scales:http://www.linkedin.com/groups/Big-data-under-control-challenge-3981538.S.213645478?view=&gid=3981538&type=member&item=213645478&trk=NUS_DISC_Q-ttle
February 14:Big data under control? The challenge of new
stakes:http://www.linkedin.com/groups/Big-data-under-control-challenge-35222.S.214093070?qid=1d343db4-e3f0-4a33-93cd-3e482d613305&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
February 15:Big data under control? The challenge of new
mandates:http://www.linkedin.com/groups/Big-data-under-control-challenge-3981538.S.214477873?view=&gid=3981538&type=member&item=214477873
February 18:Big data in production? Consider the stakes
and stakeholders:http://www.linkedin.com/groups/Big-data-in-production-Consider-3981538.S.215132127?qid=8770d464-ca75-47fb-82aa-e507a234bc3a&trk=group_most_recent_rich-0-b-ttl&goback=%2Egmr_3981538
February 19:Big data in production? Consider the stacks you'll need to harden:http://www.linkedin.com/groups/Big-data-in-production-Consider-35222.S.215507648?qid=4f0ddedb-fda9-4435-a46b-0bfa70968e91&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
February 20:Big data in production? Consider the scalability imperatives:http://www.linkedin.com/groups/Big-data-in-production-Consider-3981538.S.215899499?view=&gid=3981538&type=member&item=215899499&trk=NUS_DISC_Q-ttle
February 21:Big data in production? Consider the skills in your organization:http://www.linkedin.com/groups/Big-data-in-production-Consider-35222.S.216280874?qid=e2f0a596-95fb-4d60-8fcd-54d19c5e257c&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
February 22:Big data in production? Consider seams in your service:http://www.linkedin.com/groups/Big-data-in-production-Consider-3981538.S.216643906?qid=1f40e72c-21cb-4a44-86e4-436bd1f1fc52&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
February 25:Unstructured big data? Proliferation of new
data types with non-explicit semantics:http://www.linkedin.com/groups/Unstructured-big-data-Proliferation-new-3981538.S.217281856?qid=30ceca42-ac5a-49f3-a012-a0804ae549cd&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
February 26:Unstructured big data? Governance may be tricky when data is
non-record non-schema-fied:http://www.linkedin.com/groups/Unstructured-big-data-Governance-may-35222.S.217458673?qid=b1e5a083-f432-4c1d-9be3-a1c0b05b765b&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
February 27:Unstructured big data? Collaboration may be improvised among
unfamiliar data-science disciplines:http://www.linkedin.com/groups/Unstructured-big-data-Collaboration-may-3981538.S.218049062?view=&gid=3981538&type=member&item=218049062
February 28:Unstructured big data? Analytics driving
dynamic, contextual, situational business processes:http://www.linkedin.com/groups/Unstructured-big-data-Analytics-driving-35222.S.218406425?qid=4f910998-9bef-4bce-8c2a-0f629b824d0f&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
March 1:Unstructured big data? Real-world experiments pursue serendipitous
insights and outcomes:http://www.linkedin.com/groups/Unstructured-big-data-Realworld-experiments-3981538.S.218754974?qid=3f792778-40f9-4e6d-bd1c-96a6ff729834&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
March 4:Big data on the move? Cloud services ensure big data is always there for
your mobile:http://www.linkedin.com/groups/Big-data-on-move-Cloud-3981538.S.219355786?qid=04c40dc1-5c49-4f12-ad89-c31f95a7c08b&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
March 5:Big data on the move? Stream computing enables real-time mobile
experiences:http://www.linkedin.com/groups/Big-data-on-move-Stream-35222.S.219356771?qid=23b1793d-1fd3-4215-a8c3-9bb37d662302&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
March 6:Big data on the move? Machine data is what your mobile feeds to big-data
cloud analytics:http://www.linkedin.com/groups/Big-data-on-move-Machine-3981538.S.219357423?qid=ad529982-b256-4036-83d9-6110181ecfa9&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
March 7:Big data on the move? Location analytics use big data to orient your
mobile on the ground:http://www.linkedin.com/groups/Big-data-on-move-Location-35222.S.220538487?qid=6b82c574-86dc-4d1a-b7f2-cf15caf7fcd5&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
March 8:Big data on the move? Next best action leverages big data analytics for
continual mobile guidance:http://www.linkedin.com/groups/Big-data-on-move-Next-3981538.S.220916930?qid=f57b95e1-1c7b-44d9-84d3-4c2271499955&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
March 11:Big-data hardcore use cases? Better results at extreme scale:http://www.linkedin.com/groups/Bigdata-hardcore-use-cases-Better-3981538.S.221578927?view=&gid=3981538&type=member&item=221578927&trk=NUS_DISC_Q-ttle
March 12:Big-data hardcore use cases? Whole-population analytics:http://www.linkedin.com/groups/Bigdata-hardcore-use-cases-Wholepopulation-3981538.S.221960553?view=&gid=3981538&type=member&item=221960553&trk=NUS_DISC_Q-ttle
March 13:Big-data hardcore use cases? Microsegmentation analytics:http://www.linkedin.com/groups/Bigdata-hardcore-use-cases-Microsegmentation-35222.S.221962265
March 14:Big-data hardcore use cases? Behavioral
analytics:http://www.linkedin.com/groups/Bigdata-hardcore-use-cases-Behavioral-3981538.S.222772278
March 15:Big-data hardcore use cases? Unstructured
analytics:http://www.linkedin.com/groups/Bigdata-hardcore-use-cases-Unstructured-35222.S.222773539
March 18:Big-data hardcore use cases? Multistructured analytics:http://www.linkedin.com/groups/Bigdata-hardcore-use-cases-Multistructured-3981538.S.223663714?qid=224687c0-f774-407b-a4bc-f5baf46929ec&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
March 19:Big-data hardcore use cases? Temporal analytics:http://www.linkedin.com/groups/Bigdata-hardcore-use-cases-Temporal-3981538.S.224168834?view=&gid=3981538&type=member&item=224168834&trk=NUS_DISC_Q-ttle
March 20:Big-data hardcore use cases? Multivariate analytics:http://www.linkedin.com/groups/Bigdata-hardcore-use-cases-Multivariate-35222.S.224574241?view=&gid=35222&type=member&item=224574241&trk=NUS_DISC_Q-ttle
March 21:Big-data hardcore use cases? Multi-scenario
analytics:http://www.linkedin.com/groups/Bigdata-hardcore-use-cases-Multiscenario-3981538.S.224979238?qid=c249574d-d79c-42f1-850c-0737cdce2771&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
March 22:Big-data hardcore use cases? Sensor analytics:http://www.linkedin.com/groups/Bigdata-hardcore-use-cases-Sensor-35222.S.225372857?view=&gid=35222&type=member&item=225372857&trk=NUS_DISC_Q-ttle
March 25:Hadoop uber-alles? It's more like "hybrid" uber-alles:http://www.linkedin.com/groups/Hadoop-uberalles-Its-more-like-3981538.S.225896749?view=&gid=3981538&type=member&item=225896749&trk=NUS_DISC_Q-ttle
March 26:Gamified analytics?:http://www.linkedin.com/groups/Gamified-analytics-3981538.S.225897106?qid=e014ffe6-47cf-4f4c-9831-e535126d6d9b&trk=group_most_recent_rich-0-b-ttl&goback=%2Egmr_3981538
March 27:Ambient analytics?:http://www.linkedin.com/groups/Ambient-analytics-35222.S.226831858?qid=cc6cfb1c-f6f1-463c-bafd-2e3b8480f90f&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
March 28:All in memory? Speed of business is
multidimensional:http://www.linkedin.com/groups/All-in-memory-Speed-business-3981538.S.227161742?qid=afe9c493-e58e-4b45-a963-5c6e463640b3&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
March 29:Petabytes in the palm of your hand? Bring your
own big data:http://www.linkedin.com/groups/Petabytes-in-palm-your-hand-35222.S.227472623?qid=0a04a2b7-3763-4abd-9b61-2c0934f3e85f&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
April 1:Engaging customer as individual? Some customers
habituated to the old ways of interacting with you:http://www.linkedin.com/groups/Engaging-customer-as-individual-Some-3981538.S.228000738?qid=83b1a664-de45-42ae-901b-7b26ac63aadd&goback=.gmp_3981538
April 2:Marketing attribution? Brandname recognition
often silently decisive:http://www.linkedin.com/groups/Marketing-attribution-Brandname-recognition-often-3981538.S.228364482
April 3:Data of desire? Analyzing love is a bit tricky:http://www.linkedin.com/groups/Data-desire-Analyzing-love-is-35222.S.228739157?qid=079d4a7f-558e-440a-9145-ca134d89b0ea&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
April 4:Gamified analytics? Drive it into customer
engagements:http://www.linkedin.com/groups/Gamified-analytics-Drive-it-into-3981538.S.229116019?qid=87569a54-a740-49fb-bd3f-9a82940cdee0&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
April 5:Interest graph?:http://www.linkedin.com/groups/Interest-graph-35222.S.229519155?qid=cce36cc6-809f-4482-8f68-4270ce9dfe5f&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
April 8:Privacy and big data? Rat's nest of stubborn
issues:http://www.linkedin.com/groups/Privacy-big-data-Rats-nest-3981538.S.230145733?view=&gid=3981538&type=member&item=230145733&trk=NUS_DISC_Q-ttle
April 9:Healthcare analytics? Obamacare makes decision-support
tools imperative:http://www.linkedin.com/groups/Healthcare-analytics-Obamacare-makes-decisionsupport-3981538.S.230530561?view=&gid=3981538&type=member&item=230530561
April 10:Queryable big-data archive? You have options:http://www.linkedin.com/groups/Queryable-bigdata-archive-You-have-35222.S.230966396?qid=b331ca6e-3df8-4e58-8b41-0c0764bdf797&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
April 11:Graph analysis? Drilling down into domains of
influence:http://www.linkedin.com/groups/Graph-analysis-Drilling-down-into-3981538.S.231347734?view=&gid=3981538&type=member&item=231347734
April 12:Transactional analytics? In-memory accelerates
it by an order of magnitude:http://www.linkedin.com/groups/Transactional-analytics-Inmemory-accelerates-it-35222.S.231748702?qid=983869dc-ebfc-48f5-92d0-8fc6803c0ff2&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
April 15:Hadoop uber-alles? Work in progress, but
progressing rapidly:http://www.linkedin.com/groups/Hadoop-uberalles-Work-in-progress-3981538.S.232365219?qid=56213c77-57e1-4e06-ae79-f13de757feb7&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
April 16:Hadoop uber-alles? Open source accelerates
adoption, but entails integration difficulty, cost, and risk :http://www.linkedin.com/groups/Hadoop-uberalles-Open-source-accelerates-3981538.S.232716555?qid=981e0957-65e7-4203-a87e-33a5aef4baa4&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
April 17:Hadoop uber-alles? Technical complexities are
considerable, but gradually abating:http://www.linkedin.com/groups/Hadoop-uberalles-Technical-complexities-are-35222.S.233095403?qid=fa433089-234d-43e1-b79a-3546250d0e0b&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
April 18:Hadoop uber-alles? Best practices emerging from
early adopter experiences:http://www.linkedin.com/groups/Hadoop-uberalles-Best-practices-emerging-3981538.S.233470878?view=&gid=3981538&type=member&item=233470878&trk=NUS_DISC_Q-ttle
April 19:Hadoop uber-alles? Commercial appliances show
big-data market coming into mainstream:http://www.linkedin.com/groups/Hadoop-uberalles-Commercial-appliances-show-35222.S.233838842?view=&gid=35222&type=member&item=233838842&trk=NUS_DISC_Q-ttle
April 22:Marketing attribution? Blend of science and art:http://www.linkedin.com/groups/Marketing-attribution-Blend-science-art-3981538.S.234480544?qid=6c965182-9967-40cf-810c-e815e821c053&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
April 23:Hadoop uber-alles? Unification requires
industry shift focus from projects to standards:http://www.linkedin.com/groups/Hadoop-uberalles-Unification-requires-industry-3981538.S.234826679?qid=03ab2a6d-4de9-4855-91ce-fa9d7ba58985&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
April 24:Big-data single version of the truth? Need
independent vetting of data and models:http://www.linkedin.com/groups/Bigdata-single-version-truth-Need-35222.S.235199607?qid=1658f1ee-140d-4083-801a-2444ced0d008&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
April 25:Big Media? Archiving everything on the Internet
a hopeless cause:http://www.linkedin.com/groups/Big-Media-Archiving-everything-on-3981538.S.235557215
April 26:Sexy statistics? Algorithmic virtual-currency
mining thrives on big data MPP infrastructure:http://www.linkedin.com/groups/Sexy-statistics-Algorithmic-virtualcurrency-mining-35222.S.235909060
April 29:Ambient analytics? Finding insights in data
debris & digital breadcrumbs:http://www.linkedin.com/groups/Ambient-analytics-Finding-insights-in-3981538.S.236581516
April 30:Healthcare analytics? Public cloud data
security often tighter than private:http://www.linkedin.com/groups/Healthcare-analytics-Public-cloud-data-3981538.S.236887050
May 1:Context accumulation? Data-driven insights demand
context of valid statistical model:http://www.linkedin.com/groups/Context-accumulation-Datadriven-insights-demand-35222.S.237175665
May 2:Social sentiment as valuable market intelligence? Traditional
market researchers harnessing big data to stay relevant in the new economy:http://www.linkedin.com/groups/Social-sentiment-as-valuable-market-3981538.S.237386757?qid=25a8a338-326d-461a-af8e-4d08fd5690e6&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
May 3:Experience optimization? Shopping happiness is
bursts of spontaneity within the routine:http://www.linkedin.com/groups/Experience-optimization-Shopping-happiness-is-35222.S.237791899?view=&gid=35222&type=member&item=237791899
May 6:Hadoop uber-alles? Beyond SQL over Hadoop:http://www.linkedin.com/groups/Hadoop-uberalles-Beyond-SQL-over-3981538.S.238369227?qid=2a2429c9-08e4-42bd-b9b3-39c6e1da5948&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
May 7:Big BI? Measuring the business value of big data:http://www.linkedin.com/groups/Big-BI-Measuring-business-value-3981538.S.238708504?view=&gid=3981538&type=member&item=238708504
May 8:Engaging customer as individual? The predictive
power of modeling customer journeys:http://www.linkedin.com/groups/Engaging-customer-as-individual-predictive-35222.S.239086451?qid=df331b88-9f58-4101-b1d4-e7f79539d21c&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
May 9:Big identity? Social graphs enable behavioral
fingerprinting:http://www.linkedin.com/groups/Big-identity-Social-graphs-enable-3981538.S.239457304?view=&gid=3981538&type=member&item=239457304
May 10:Information glut? Wearable sensors, analytics,
& displays will open the floodgates:http://www.linkedin.com/groups/Information-glut-Wearable-sensors-analytics-35222.S.239797383?qid=12783fa1-3918-483c-9467-f072937022fc&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
May 13:Big-data single version of the truth?
Data-scientist bias may be unconscious:http://www.linkedin.com/groups/Bigdata-single-version-truth-Datascientist-3981538.S.240361880?qid=c6f6d59e-8db3-4b40-9db0-6f2123aa6474&goback=.gmp_3981538
May 14:Experience optimization? Imaging analytics for behavioral targeting:http://www.linkedin.com/groups/Experience-optimization-Imaging-analytics-behavioral-3981538.S.240699319?qid=2ef133ee-3c22-4594-a61e-c02271952611&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
May 15:Sexy statistics? Moneyball, quantified sport,
& analytical overkill:http://www.linkedin.com/groups/Sexy-statistics-Moneyball-quantified-sport-35222.S.240700400?qid=487a909d-9023-401c-a687-e31e277711f1&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
May 16:Decision scientists? Big data as evidence in
building a business case:http://www.linkedin.com/groups/Decision-scientists-Big-data-as-3981538.S.240701390?view=&gid=3981538&type=member&item=240701390&trk=NUS_DISC_Q-ttle
May 17:Meaty metadata?
Rich context is everything in security analytics:http://www.linkedin.com/groups/Meaty-metadata-Rich-context-is-35222.S.240702732?qid=9cd7a3c6-9137-4cd0-bfdc-e4c97161ca26&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
May 20:Big-data discovery?:http://www.linkedin.com/groups/Bigdata-discovery-3981538.S.242352793?view=&gid=3981538&type=member&item=242352793
May 21:Information glut? The vintage, vagueness, and
vertigo of big data:http://www.linkedin.com/groups/Information-glut-vintage-vagueness-vertigo-3981538.S.242699018?view=&gid=3981538&type=member&item=242699018
May 22:Real-world experiments?:http://www.linkedin.com/groups/Realworld-experiments-35222.S.243079023?view=&gid=35222&type=member&item=243079023&trk=NUS_DISC_Q-ttle
May 23:Big data under control? Wrestling definitions
down to size:http://www.linkedin.com/groups/Big-data-under-control-Wrestling-3981538.S.243464942?qid=239a8dd8-b63c-4230-afeb-e01f3494130e&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
May 24:Data-scientist skillsets?:http://www.linkedin.com/groups/Datascientist-skillsets-35222.S.243814781?qid=b792a104-53dd-4d5c-91f9-fc21f2c067e1&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
May 28:Big-data discovery? Exploration demands agile balance of quantitative
& qualitative:http://www.linkedin.com/groups/Bigdata-discovery-Exploration-demands-agile-3981538.S.244656228?view=&gid=3981538&type=member&item=244656228&trk=NUS_DISC_Q-ttle
May 29:Big-data hardcore use cases? Geospatial analytics
complements remote sensing:http://www.linkedin.com/groups/Bigdata-hardcore-use-cases-Geospatial-35222.S.245007596?qid=3517c8e4-3f1f-45b8-8934-f7de02228dfe&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
May 30:Big data vision? Philosophy of data is science,
epistemology, aesthetics, etc.:http://www.linkedin.com/groups/Big-data-vision-Philosophy-data-3981538.S.245368871?view=&gid=3981538&type=member&item=245368871
May 31:Complex event processing? Internet of Things will
introduce never-ending stream of prediction-disrupting wildcards:http://www.linkedin.com/groups/Complex-event-processing-Internet-Things-35222.S.245708975?qid=ad4a4997-120d-4962-8161-cddb91f30cee&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
June 3:Data monetization?:http://www.linkedin.com/groups/Data-monetization-3981538.S.246314567?qid=3c8cd23b-ecb9-4b6a-8d12-25d8680ceca1&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
June 4:Internet of Things?:http://www.linkedin.com/groups/Internet-Things-3981538.S.246661471?view=&gid=3981538&type=member&item=246661471&trk=NUS_DISC_Q-ttle
June 5:Data-scientist skillsets? Coalescing into a
substantial profession:http://www.linkedin.com/groups/Datascientist-skillsets-Coalescing-into-substantial-35222.S.247062603?view=&gid=35222&type=member&item=247062603
June 6:Big-data-driven TV experience? :http://www.linkedin.com/groups/Bigdatadriven-TV-experience-3981538.S.247423640?view=&gid=3981538&type=member&item=247423640&trk=NUS_DISC_Q-ttle
June 7:Data virtualization?:http://www.linkedin.com/groups/Data-virtualization-35222.S.247785966?qid=1a76904a-c4c3-446d-a3b7-07783e429f98&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
June 10:Internet of Things? Data-streaming wearables can
drive personal wellness optimization:http://www.linkedin.com/groups/Internet-Things-Datastreaming-wearables-can-3981538.S.248363194?qid=d682ea9f-c156-4b07-aed2-1d1387b31bc7&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
June 11:Big-data single version of the truth? Business
strategies founded on skewed data can backfire badly:http://www.linkedin.com/groups/Bigdata-single-version-truth-Business-3981538.S.248737310?view=&gid=3981538&type=member&item=248737310&trk=NUS_DISC_Q-ttle
June 12:Experience optimization? Your operational data
is usually enough:http://www.linkedin.com/groups/Experience-optimization-Your-operational-data-35222.S.249145691?qid=c75fcd00-48b0-4637-af53-465db917ec31&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
June 13:Crowdsourcing Big Data creativity? Top-notch
data scientists gravitate toward challenges:http://www.linkedin.com/groups/Crowdsourcing-Big-Data-creativity-Topnotch-3981538.S.249533033?qid=9160a5c8-21db-4de0-b243-776e6875e0a9&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
June 14:Advanced visualization? Tuned through machine learning shaped by
real-time behavior of subject-matter experts:http://www.linkedin.com/groups/Advanced-visualization-Tuned-through-machine-35222.S.249873026?view=&gid=35222&type=member&item=249873026&trk=NUS_DISC_Q-ttle
June 17:Graph analysis? Scalability requirements will
push big-data evolution:http://www.linkedin.com/groups/Graph-analysis-Scalability-requirements-will-3981538.S.250511205?view=&gid=3981538&type=member&item=250511205&trk=NUS_DISC_Q-ttle
June 18:Data of desire? Microsegmentation analytics are
shaping the food chain:http://www.linkedin.com/groups/Data-desire-Microsegmentation-analytics-are-3981538.S.250903800?view=&gid=3981538&type=member&item=250903800
June 19:Real-world experiments? Building the data-driven
case for causation:http://www.linkedin.com/groups/Realworld-experiments-Building-datadriven-case-35222.S.250905007?view=&gid=35222&type=member&item=250905007
June 20:Healthcare analytics? Big data can dilute or
deepen caregiver-patient engagement:http://www.linkedin.com/groups/Healthcare-analytics-Big-data-can-3981538.S.251586825?view=&gid=3981538&type=member&item=251586825
June 21:Data-scientist skillsets? Master the basics,
avoid the most common mistakes:http://www.linkedin.com/groups/Datascientist-skillsets-Master-basics-avoid-35222.S.251912270?qid=610b7d16-215b-4069-af7c-4580fcf15bcc&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
June 24:Smarter planet? Internet of Things should
selectively distribute data analytic intelligence to cloud edges:http://www.linkedin.com/groups/Smarter-planet-Internet-Things-should-3981538.S.252463251?view=&gid=3981538&type=member&item=252463251&trk=NUS_DISC_Q-ttle
June 25:Customer segmentation?:http://www.linkedin.com/groups/Customer-segmentation-3981538.S.252811249?view=&gid=3981538&type=member&item=252811249&trk=NUS_DISC_Q-ttle
June 26:Big data vision? Powering the convergence of
social, mobile, and cloud:http://www.linkedin.com/groups/Big-data-vision-Powering-convergence-35222.S.253176425?view=&gid=35222&type=member&item=253176425&trk=NUS_DISC_Q-ttle
June 27:Data-scientist skillsets? Empirical science
incomplete without mastery of data science:http://www.linkedin.com/groups/Datascientist-skillsets-Empirical-science-incomplete-3981538.S.253497308?view=&gid=3981538&type=member&item=253497308&trk=NUS_DISC_Q-ttle
June 28:Customer segmentation? Generational segmentation
has become a never-ending marketing industry joke:http://www.linkedin.com/groups/Customer-segmentation-Generational-segmentation-has-35222.S.253897968?view=&gid=35222&type=member&item=253897968
July 1:Data-scientist skillsets? Robust replication
across independent data & scientists:http://www.linkedin.com/groups/Datascientist-skillsets-Robust-replication-across-3981538.S.254451466?view=&gid=3981538&type=member&item=254451466
July 2:Stream computing? In-motion analytics are core of
the Internet of Things revolution:http://www.linkedin.com/groups/Stream-computing-Inmotion-analytics-are-3981538.S.254755307?view=&gid=3981538&type=member&item=254755307&trk=NUS_DISC_Q-ttle
July 3:Meaty metadata? Bridging quantitative and
qualitative analyses:http://www.linkedin.com/groups/Meaty-metadata-Bridging-quantitative-qualitative-35222.S.255157756?view=&gid=35222&type=member&item=255157756
July 5:Workload-optimized systems? Supercomputers may or
may not be super for big-data workloads:http://www.linkedin.com/groups/Workloadoptimized-systems-Supercomputers-may-may-35222.S.255713944?qid=e5d17868-ea38-4fae-9338-8a6067739445&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
July 8:Big data under control? The security challenge
from the Internet of Things:http://www.linkedin.com/groups/Big-data-under-control-security-3981538.S.256175009?view=&gid=3981538&type=member&item=256175009&trk=NUS_DISC_Q-ttle
July 9:Hadoop uber-alles? Linux analogy is wearing thin
as the market evolves:http://www.linkedin.com/groups/Hadoop-uberalles-Linux-analogy-is-3981538.S.256176732?view=&gid=3981538&type=member&item=256176732
July 10:Unstructured big data? Modeling and measuring its risk factors:http://www.linkedin.com/groups/Unstructured-big-data-Modeling-measuring-35222.S.256177227?view=&gid=35222&type=member&item=256177227&trk=NUS_DISC_Q-ttle
July 11:Big data vision? The SMAC stack:http://www.linkedin.com/groups/Big-data-vision-SMAC-stack-3981538.S.257187380?qid=b9b7452e-22f1-4c5b-89e9-04993cc55cb5&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
July 12:Recommendation engines? Tuning the online ads
that keep e-commerce afloat:http://www.linkedin.com/groups/Recommendation-engines-Tuning-online-ads-35222.S.257503708?qid=4ee2de28-a1d4-4651-bde5-e471fc2a7cad&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
July 15:Graph analysis? Identifying moving targets
demands big data & fancy math:http://www.linkedin.com/groups/Graph-analysis-Identifying-moving-targets-3981538.S.258057218?qid=85c9bc24-f5a8-423b-a62e-a62f4910cfdb&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
July 16:Social sentiment as valuable market
intelligence? It's easy to squander it through naive interpretations:http://www.linkedin.com/groups/Social-sentiment-as-valuable-market-3981538.S.258408961?view=&gid=3981538&type=member&item=258408961
July 17:Security of big data? Implementing trustworthy
MapReduce infrastructure is fundamental:http://www.linkedin.com/groups/Security-big-data-Implementing-trustworthy-35222.S.258413597?qid=59da8465-66a5-4c28-ae72-b669b2c6587c&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
July 18:Meaty metadata? SPARQL deserves a second look
for big-data query standard:http://www.linkedin.com/groups/Meaty-metadata-SPARQL-deserves-second-3981538.S.259036898?view=&gid=3981538&type=member&item=259036898&trk=NUS_DISC_Q-ttle
July 19:Big Media? Storage optimization even more
critical at this scale:http://www.linkedin.com/groups/Big-Media-Storage-optimization-even-35222.S.259342344?view=&gid=35222&type=member&item=259342344&trk=NUS_DISC_Q-ttle
July 22:Data-scientist skillsets? The common denominator
needs to come down:http://www.linkedin.com/groups/Datascientist-skillsets-common-denominator-needs-3981538.S.259845791?view=&gid=3981538&type=member&item=259845791&trk=NUS_DISC_Q-ttle
July 23:Social sentiment
as valuable market intelligence? Data quality will take back seat to data
relevance:http://www.linkedin.com/groups/Social-sentiment-as-valuable-market-3981538.S.260155242?qid=dd49b32d-f526-4e2e-984b-81e87a3dc8bb&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
July 24:Big Data's
optimal deployment model? Multi-cloud business environments will ramp all
challenges to new difficulty level:http://www.linkedin.com/groups/Big-Datas-optimal-deployment-model-35222.S.260448291?qid=afc2aea0-2993-4492-a5e5-6aaea50078bc&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
July 25:Internet of Things? Vehicular analytics will
deliver "fahrvergnügen optimization":http://www.linkedin.com/groups/Internet-Things-Vehicular-analytics-will-3981538.S.260763829?qid=d467355b-f413-449c-be39-66b14438b21d&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
July 26:All in memory? Exascale big-data in-memory
platforms will demand new programming paradigms:http://www.linkedin.com/groups/All-in-memory-Exascale-bigdata-35222.S.261038916?qid=31404eb4-4013-482e-b041-57bd78f861a6&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
July 29:Sexy statistics? Counterintuitive data science
methods may yield keener big-data insights:http://www.linkedin.com/groups/Sexy-statistics-Counterintuitive-data-science-3981538.S.261574378?view=&gid=3981538&type=member&item=261574378&trk=NUS_DISC_Q-ttle
July 30:Big-data-driven TV experience? Driving what
actually gets a chance to show up on the screen:http://www.linkedin.com/groups/Bigdatadriven-TV-experience-Driving-what-3981538.S.261853408?view=&gid=3981538&type=member&item=261853408
July 31:Big data in production? The challenge of
integrated lifecycle management at extreme scales:http://www.linkedin.com/groups/Big-data-in-production-challenge-35222.S.262182757?view=&gid=35222&type=member&item=262182757&trk=NUS_DISC_Q-ttle
August 1:Social sentiment as valuable market
intelligence? Tweets are the fruit flies of consumer-facing data science:http://www.linkedin.com/groups/Social-sentiment-as-valuable-market-3981538.S.262532762?view=&gid=3981538&type=member&item=262532762&trk=NUS_DISC_Q-ttle
August 2:Decision
scientists? Predicting aggregate collective behavior runs up against chaotic
dynamics:http://www.linkedin.com/groups/Decision-scientists-Predicting-aggregate-collective-35222.S.262804424?qid=9f75d3e6-bda5-4710-9c93-fc3346958c1e&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
August 5:Quantum analytics?:http://www.linkedin.com/groups/Quantum-analytics-3981538.S.263380167?view=&gid=3981538&type=member&item=263380167&trk=NUS_DISC_Q-ttle
August 6:Prescriptive analytics? The promise and limits
of predictive policing:http://www.linkedin.com/groups/Prescriptive-analytics-promise-limits-predictive-3981538.S.263665191?view=&gid=3981538&type=member&item=263665191
August 7:Smartphones as Big Data analytics platforms?
Gadgets transform humans into IoT "sensors":http://www.linkedin.com/groups/Smartphones-as-Big-Data-analytics-35222.S.263667165?view=&gid=35222&type=member&item=263667165&trk=NUS_DISC_Q-ttle
August 8:Complex event processing? IoT's streaming cloud
choreography will spin heads :http://www.linkedin.com/groups/Complex-event-processing-IoTs-streaming-3981538.S.264332607?qid=32641f99-1143-42df-bee5-41eeaaf8a603&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
August 9:Business process optimization? Aligning big
data with enterprise architecture:http://www.linkedin.com/groups/Business-process-optimization-Aligning-big-35222.S.264600873?qid=65b92261-dd8d-421c-8811-7147eae6d0ca&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
August 12:Meaty metadata? Contextualized conversations
supplement automated metadata:http://www.linkedin.com/groups/Meaty-metadata-Contextualized-conversations-supplement-3981538.S.265119593?view=&gid=3981538&type=member&item=265119593&trk=NUS_DISC_Q-ttle
August 13:Big-data maturity? Conceptualizing the
big-data "omega" architecture:http://www.linkedin.com/groups/Bigdata-maturity-Conceptualizing-bigdata-omega-3981538.S.265448041?view=&gid=3981538&type=member&item=265448041
August 14:Hadoop uber-alles? Unstructured ETL is its
unsung sweet spot:http://www.linkedin.com/groups/Hadoop-uberalles-Unstructured-ETL-is-35222.S.265755437?view=&gid=35222&type=member&item=265755437&trk=NUS_DISC_Q-ttle
August 15:Ambient analytics? Predictively optimizing all
the places of our lives:http://www.linkedin.com/groups/Ambient-analytics-Predictively-optimizing-all-3981538.S.266092021?view=&gid=3981538&type=member&item=266092021
August 16:Engaging customer as individual? Funnel
analytics are the firehose that powers engagement:http://www.linkedin.com/groups/Engaging-customer-as-individual-Funnel-35222.S.266340473?view=&gid=35222&type=member&item=266340473&trk=NUS_DISC_Q-ttle
August 19:Advanced visualization? Designers should
consider core perceptual principles:http://www.linkedin.com/groups/Advanced-visualization-Designers-should-consider-3981538.S.266869555?view=&gid=3981538&type=member&item=266869555&trk=NUS_DISC_Q-ttle
August 20:Internet of Things? All in (teeny-tiny) memory:http://www.linkedin.com/groups/Internet-Things-All-in-teenytiny-3981538.S.267177215?qid=591b6d97-9ee0-45a3-bb85-f610a452c8b2&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
August 21:Data-scientist skillsets? Meshing of minds
attuned to abstract patterns:http://www.linkedin.com/groups/Datascientist-skillsets-Meshing-minds-attuned-35222.S.267505249?view=&gid=35222&type=member&item=267505249
August 22:Context accumulation? Content accumulation
contextualizes algorithm optimization:http://www.linkedin.com/groups/Context-accumulation-Content-accumulation-contextualizes-3981538.S.267824455?view=&gid=3981538&type=member&item=267824455&trk=NUS_DISC_Q-ttle
August 23:Big-data discovery? Using machine learning to
distill knowledge from data without preconceived models:http://www.linkedin.com/groups/Bigdata-discovery-Using-machine-learning-35222.S.268112482?view=&gid=35222&type=member&item=268112482&trk=NUS_DISC_Q-ttle
August 26:Big Media? Advanced analytics & deep
metadata bring shape to the BLOB:http://www.linkedin.com/groups/Big-Media-Advanced-analytics-deep-3981538.S.268623626?view=&gid=3981538&type=member&item=268623626&trk=NUS_DISC_Q-ttle
August 27:Data-scientist skillsets? Professional code of
conduct makes great sense:http://www.linkedin.com/groups/Datascientist-skillsets-Professional-code-conduct-3981538.S.268903740?qid=b1df557a-3a0d-4626-888d-5d955db07eab&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
August 28:Customer segmentation? Segmentations must flex
with your desired outcomes:http://www.linkedin.com/groups/Customer-segmentation-Segmentations-must-flex-35222.S.269201365?qid=b89be019-4b42-4f16-9eb0-bc196cbd3a9e&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_35222
August 29:Healthcare analytics? Instrumenting the icky
necessities of life with smart sensors:http://www.linkedin.com/groups/Healthcare-analytics-Instruhttp://www.linkedin.com/groups/Healthcare-analytics-Instrumenting-icky-necessities-3981538.S.269476812?qid=bfd26a92-c37c-464d-bfa5-4c04033dc481&trk=group_most_recent_rich-0-b-ttl&goback=.gmr_3981538
August 30:Real-world experiments? The Amazon business
model will revolutionize news personalization :http://www.linkedin.com/groups/Realworld-experiments-Amazon-business-model-35222.S.269785384?view=&gid=35222&type=member&item=269785384&trk=NUS_DISC_Q-ttle
September 3:Experience optimization? Complex algorithms
effectively randomize the social experience:http://www.linkedin.com/groups/Experience-optimization-Complex-algorithms-effectively-3981538.S.270524452?view=&gid=3981538&type=member&item=270524452&trk=NUS_DISC_Q-ttle
September 4:Customer segmentation? Shifting affinities
in an online culture make segmentation trickier:http://www.linkedin.com/groups/Customer-segmentation-Shifting-affinities-in-4927596.S.270875819?qid=74835485-f0af-4842-afcd-b9f9a4fa710b&trk=groups_most_recent-0-b-ttl&goback=.gmr_4927596
September 5:Social sentiment as valuable market
intelligence? Without human vetting, you can totally misconstrue it:http://www.linkedin.com/groups/Social-sentiment-as-valuable-market-3981538.S.271236234?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
September 6:Data-scientist skillsets? Spotting a
resource-hogging algorithm before it becomes a showstopper:http://www.linkedin.com/groups/Datascientist-skillsets-Spotting-resourcehogging-algorithm-35222.S.271590077?view=&gid=35222&type=member&item=271590077&trk=NUS_DISC_Q-ttle
September 9:Marketing attribution? Complex customer
engagement is the enemy of clear attribution:http://www.linkedin.com/groups/Marketing-attribution-Complex-customer-engagement-3981538.S.272143333?qid=bf9440fa-4e0b-460a-bd30-565cf277915f&trk=groups_most_recent-0-b-ttl&goback=.gmr_3981538
September 10:Big-data
development?:http://www.linkedin.com/groups/Bigdata-development-3981538.S.272478774?qid=043a4bef-cd2a-48c9-872f-9aafffc66431&trk=groups_most_recent-0-b-ttl&goback=.gmr_3981538
September 11:Privacy and
big data? No protocol can pre-empt smart inferences from limited data:http://www.linkedin.com/groups/Privacy-big-data-No-protocol-35222.S.272834710?view=&gid=35222&type=member&item=272834710&trk=NUS_DISC_Q-ttle
September 12:Stream computing?:http://www.linkedin.com/groups/Stream-computing-3981538.S.273185094?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
September 13:Open data?:http://www.linkedin.com/groups/Open-data-35222.S.273512240?view=&gid=35222&type=member&item=273512240&trk=NUS_DISC_Q-ttle
September 18:Meaty metadata? Big data, semantic search,
and the decline of closed-ended intentionality:http://www.linkedin.com/groups/Meaty-metadata-Big-data-semantic-35222.S.274699218?view=&gid=35222&type=member&item=274699218&trk=NUS_DISC_Q-ttle
September 19:Conversation optimization?:www.linkedin.com/groups/Conversation-optimization-3981538.S.274992519?view=&gid=3981538&type=member&item=274992519&trk=NUS_DISC_Q-ttle
September 20:Recommendation engines? The inherent
inscrutability of personal preference:http://www.linkedin.com/groups/Recommendation-engines-inherent-inscrutability-personal-35222.S.275286871?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
September 23:NoSQL?:Part 1: http://www.linkedin.com/groups/NoSQL-part-1-3981538.S.275800463?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
Part 2:
September 24:Storage optimization? Tipping point
approaches for SSDs:http://www.linkedin.com/groups/Storage-optimization-Tipping-point-approaches-3981538.S.276079088?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
September 25:Digital marketing ecosystem?:http://www.linkedin.com/groups/Digital-marketing-ecosystem-35222.S.276389002?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
September 26:Healthcare analytics? Quantified self and
the emergence of patient-generated data:http://www.linkedin.com/groups/Healthcare-analytics-Quantified-self-emergence-3981538.S.276706663?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
September 27:Big Data's optimal deployment model? Balancing trade-offs among distributed
database availability, scalability, consistency, and transactionality:http://www.linkedin.com/groups/Big-Datas-optimal-deployment-model-35222.S.276958999?view=&gid=35222&type=member&item=276958999&trk=NUS_DISC_Q-ttle
September 30:Big identity? Authenticating, correcting,
and opting out of the aggregated you:
October 1:Geospatial analytics?:http://www.linkedin.com/groups/Geospatial-analytics-3981538.S.277765444?qid=81f52276-b6dc-4aab-afc6-fd0a01db7a1b&trk=groups_most_recent-0-b-ttl&goback=.gmr_3981538
October 2:Information economics?:http://www.linkedin.com/groups/Information-economics-35222.S.278049471?qid=2aadcf11-9ae9-4626-9553-9ae52a63f2d9&trk=groups_most_recent-0-b-ttl&goback=%2Egmr_35222
October 3:Social sentiment as valuable market
intelligence? Emotions may reveal what words belie:http://www.linkedin.com/groups/Social-sentiment-as-valuable-market-3981538.S.278395271?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
October 4:Marketing campaign optimization?:https://twitter.com/jameskobielus/status/386093187787669504
October 7:Crowdsourcing Big Data creativity? Smarts
trump Big Data, sophisticated algorithms, and domain expertise:https://twitter.com/jameskobielus/status/387207275519438848
October 8:Internet of
Things? Monetizing the gadgets,
apps, content, and cloud services:http://www.linkedin.com/groups/Internet-Things-Monetizing-gadgets-apps-3981538.S.5793294053462269952?qid=01be87aa-12a8-48b2-954c-f7b051cb58e0&trk=groups_most_recent-0-b-ttl&goback=.gmr_3981538
October 9:Data monetization? Manage data like a product,
not a cash spigot:http://www.linkedin.com/groups/Data-monetization-Manage-data-like-35222.S.5793682940894400515?view=&gid=35222&type=member&item=5793682940894400515&trk=NUS_DISC_Q-ttle
October 10:Healthcare analytics? Internet of Things
& big data powering quantified communities:http://www.linkedin.com/groups/Healthcare-analytics-Internet-Things-big-3981538.S.5794057089542283265?qid=770c9be7-407d-4497-906b-75a2f227103e&trk=groups_most_recent-0-b-ttl&goback=.gmr_3981538
October 11:NoSQL? Twisting the kaleidoscope to sharpen
your view of myriad options:http://www.linkedin.com/groups/NoSQL-Twisting-kaleidoscope-sharpen-your-35222.S.5794418423882596355?view=&gid=35222&type=member&item=5794418423882596355&trk=NUS_DISC_Q-ttle
October 14:Geospatial analytics? Mindblowing big-data
challenge of mapping the cosmos & the subatomic:https://twitter.com/jameskobielus/status/389544048199237632
October 15:Open data? The challenges of algorithmic
accountability in big data:https://twitter.com/jameskobielus/status/389971833984151553
October 16:Big-data development? The positives and
"howevers" of R maturity:https://twitter.com/jameskobielus/status/390331096715771904
October 17:Machine learning?:https://twitter.com/jameskobielus/status/390333786485170177
October 18:Geospatial analytics? Enabling a new Green
Revolution in precision agriculture:http://www.linkedin.com/groups/Geospatial-analytics-Enabling-new-Green-35222.S.5796953585547751425?qid=12872c44-52df-4476-adb3-b1a33ae999b1&trk=groups_most_recent-0-b-ttl&goback=.gmr_35222
October 21:Big Science?:http://bit.ly/19WtKPA
October 22:Privacy and big data? Push back against
ideological smears to data mining:http://bit.ly/1azxSpt
Part 1: http://linkd.in/1a7kbS2
Part 2: http://linkd.in/15XfoRH
October 23:Cognitive computing?:http://www.linkedin.com/groups/Cognitive-computing-35222.S.5798754232291053571?view=&gid=35222&type=member&item=5798754232291053571&trk=NUS_DISC_Q-ttle
October 24:Complex event processing? Timestamping and
its importance in funnel analytics:http://www.linkedin.com/groups/Complex-event-processing-Timestamping-its-3981538.S.5799122207162523651?qid=0fd3de83-e4a3-4673-935e-2ae8427fba34&trk=groups_most_recent-0-b-ttl&goback=.gmr_3981538
October 25:Graph analysis? Using advanced math to infer
the larger picture from missing, disjoint, and multimodal data:https://twitter.com/jameskobielus/status/393359634700197888
October 28:Hadoop uber-alles? YARN unwinds the grip of
MapReduce uber-alles:http://www.linkedin.com/groups/Hadoop-uberalles-YARN-unwinds-grip-3981538.S.5800587487441076224?view=&gid=3981538&type=member&item=5800587487441076224&trk=NUS_DISC_Q-ttle
October 29:Recommendation engines? Analytics to
illuminate the way out of a stab in the dark:https://twitter.com/jameskobielus/status/395131508530634752
Part 1: http://linkd.in/HsEIW7
Part 2: http://linkd.in/1g8SrAx
October 30:Small data? Even no, null, and/or
"naughty" data can yield valuable insights:https://twitter.com/jameskobielus/status/395532960616972288
Part 1: http://linkd.in/1gc1HUE
Part 2: http://linkd.in/1itIgDw
October 31:Healthcare analytics? Computational omics
accelerate the life-sciences exploration metabolism:http://www.linkedin.com/groups/Healthcare-analytics-Computational-omics-accelerate-3981538.S.5801654039569518595?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
November 1:Big Science? Thriving on big, open, reference
data:http://www.linkedin.com/groups/Big-Science-Thriving-on-big-35222.S.5802025127851868162?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
November 4:Workload-optimized systems? Tuning
applications across distributed hybrid big-data environments:http://bit.ly/1fetvEW
Part 1: http://linkd.in/1aZ2rH8
Part 2: http://linkd.in/16zWY9O
November 5:Analytic acceleration in the cloud? Social
sentiment prediction drives big-data marketing applications:http://www.linkedin.com/groups/Analytic-acceleration-in-cloud-Social-3981538.S.5794883729461645312?qid=92bc5263-d99d-4594-a19e-458352508777&trk=groups_most_recent-0-b-ttl&goback=.gmr_3981538
November 6:Data-scientist skillsets? Challenge of
managing stubbornly autonomous experts:https://twitter.com/jameskobielus/status/398085243582046208
Part 1: http://linkd.in/1bbdWcS
Part 2: http://linkd.in/1hiREyu
November 7:Big data under control? The mathematical
challenges of extreme scale:http://www.linkedin.com/groups/Big-data-under-control-mathematical-3981538.S.5803851349066006530?qid=9138016c-314b-4b06-84f6-66eb9f404606&trk=groups_most_recent-0-b-ttl&goback=.gmr_3981538
November 8:Gamified analytics? Tipping the disruption
equation in your competitive favor:https://twitter.com/jameskobielus/status/398816652365926400
Part 1: http://linkd.in/1c5eR05
Part 2: http://linkd.in/1acbHZf
November 11:Experience optimization? Idiosyncrasies,
novelties, degrees of customer intimacy:https://twitter.com/jameskobielus/status/399900997197529089
Part 1: http://linkd.in/19dmjU6
Part 2: http://linkd.in/HNd5YM
November 12:Experience optimization? Marketing,
analytics, and the customer experience:https://twitter.com/jameskobielus/status/399901595691147264
Part 1: http://linkd.in/1bnOTXy
Part 2: http://linkd.in/1cf4WW6
November 13:Experience optimization? Watson as a
customer experience game changer:https://twitter.com/jameskobielus/status/399902126157348864
Part 1: http://linkd.in/16VAGzD
Part 2: http://linkd.in/1i0Zj2q
November 14:Experience optimization? Optimizing offers and cross sell to retain customers:https://twitter.com/jameskobielus/status/399902791730487296
Part 1: http://linkd.in/17iR7ms
Part 2: http://linkd.in/1dgXESE
November 15:Experience optimization? Creating an
intelligent customer experience:https://twitter.com/jameskobielus/status/399903564262567936
Part 1: http://linkd.in/1iZe838
Part 2: http://linkd.in/17qhQ62
November 18:Big-data discovery? Rule discovery is the
bridge between predictive & prescriptive analytics:https://twitter.com/jameskobielus/status/402414808630579200
November 19:NoSQL? Lagged veracity, and the practical
dilemma of eventual consistency:https://twitter.com/jameskobielus/status/402417303197061120
p1: http://linkd.in/18ID1eJp2: http://linkd.in/1831L72
November 20:Big identity? The fragile foundation of
CAPTCHA in the era of online image analytics:http://www.linkedin.com/groups/Big-identity-fragile-foundation-CAPTCHA-35222.S.5808883168698204160?qid=1a263a6c-baee-422d-90a8-a65722bb5be1&trk=groups_most_recent-0-b-ttl&goback=.gmr_35222
November 21:Decision automation?:https://twitter.com/jameskobielus/status/403527890496929792
Part 1: http://linkd.in/19KudEA
Part 2: http://linkd.in/18SKg3J
November 22:Big identity? Baking data-centric security
into big-data platforms:http://www.linkedin.com/groups/Big-identity-Baking-datacentric-security-35222.S.5809294297077411840?view=&gid=35222&type=member&item=5809294297077411840&trk=NUS_DISC_Q-ttle
November 25:Data-scientist skillsets? New roles that go
beyond statistics and math:http://www.linkedin.com/groups/Datascientist-skillsets-New-roles-that-3981538.S.5810719791115173890?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
November 26:Big Data's optimal deployment model? Go
hybrid but avoid misleading cross-platform dichotomies:https://twitter.com/jameskobielus/status/405320518234304512
Part 1: http://linkd.in/1ewJzlt
Part 2: http://linkd.in/1jFnuS6
November 27:Open data? The macroeconomic multiplier
effect:http://www.linkedin.com/groups/Open-data-macroeconomic-multiplier-effect-35222.S.5811438381976031234?qid=07ac7973-11a7-4128-9b14-d25c29fa12e0&trk=groups_most_recent-0-b-ttl&goback=.gmr_35222
December 2:Internet of Things? Securing endpoints,
engagements, and ecosystems:
December 3:Ambient analytics? The
experience-immersive cloud of location context:http://www.linkedin.com/groups/Ambient-analytics-experienceimmersive-cloud-location-3981538.S.5813647103276122115?qid=7f142d70-ab78-498a-a702-c44868c52365&trk=groups_most_recent-0-b-ttl&goback=.gmr_3981538
December 4:Open data? The reference graphs of planetary
connectedness:http://www.linkedin.com/groups/Open-data-reference-graphs-planetary-35222.S.5813971043269779456?trk=groups%2Finclude%2Fitem_snippet-0-b-ttl
December 5:Real-world experiments? The coming era of
dirt-cheap continuous experimentation:https://twitter.com/jameskobielus/status/408586578089762816
Part 1: http://linkd.in/1cZmhmd
Part 2: http://linkd.in/1ccJ6kJ
