Writing up quick-hits I'm going to post a month from now. When I read them again, pre-post, I'll probably forget I wrote them. "I say that?"
"Record Store Day" approacheth. Remember when it was no big deal to hang out in record stores? Now it's the mark of an audiophile supergeek
Just saw reference to "David Cameroon, prime minister of the United Kingdom." Like Obama, he's the first half-African to govern that country
"The Data-Visualization Revolution" (http://ow.ly/vSYzB ) JK--Displays Brazil's cool DataViva visualizations of open public data.
"AllJoyn: A Common Language 4 IoT" (http://ow.ly/vSY3V ) JK--Developed by AllSeen Alliance. Open source. Enable hetero IoT sol'n interop
"What do Biz Intelligence Consultants Mean by 'Solutions'?" (http://ow.ly/vSXPr ) JK--#Forrester @bevelson nicely parses distinctions
I never fail to be amazed by IT industry's ability to publish article after article saying substantially the same things, slightly reworded
An optimist is an optometrist who only fits you with rose-colored prescriptions.
PBS "Nature." Naturalist attempts to "become one" with a mule deer family. Daughter & I agree that's slightly unsettling.
CNN seems to have elevated the missing Malaysian airliner story to full 9/11 status. 24x7 saturation coverage weeks after the incident.
Today's been "pulling my hair out of my head" busy. And, as you can see, I don't have much to spare.
A8: #bigdatamgmt Recognize that data gov/mgt policies may differ gr8ly among domains. Official system of records data gov is most stringent
A8: #bigdatamgmt Establish top-down lifecycle data governance/stewardship policies/practices that are consistent across all domains.
A8: #bigdatamgmt Assign biz-level responsibility for data stewardship of domains (customer, finance, etc.). They "own" it across lifecycle
A8: #bigdatamgmt Inventory your data top to bottom. You can't manage what you don't know exists.
A7:Apply role based AA. Audit & monitor usage & data flows. Anonymize & encrypt sensitive data as much as possible #bigdatamgmt
A7 Should be able to classify which files in a Big Data platform contain sensitive data and to know where that data resides #bigdatamgmt
A7: #bigdatamgmt Mitigating risk of NOT being able to comply with key data regs/mandates involves CIO-level planning & ongoing monitoring
A7: #bigdatamgmt Mitigating risk of your business NOT finding non-obvious insights in your #bigdata involves staffing up on data scientists
A7: #bigdatamgmt Mitigating technical risks involves 24x7 high availability, security, & performance on all your #bigdata platforms
A7: #bigdatamgmt Mitigating biz risk starts with proverbial "single version of truth" with robust #bigdata governance across all domains
A6: #bigdatamgmt Rolling out new data-driven functionalty faster & more securely also requires strong data governance tooling.
A6: #bigdatamgmt Test data retrieved from shared platform should be masked using standard tools such as #IBM Optim
A6: #bigdatamgmt Agility = reuse existing data, analytics, & plats. App devs should reuse test data from fast, secure, shared #bigdata plat
@RyMontano #bigdatamgmt A5: Adoption of Spark & other #bigdata plats not coming at #Hadoop expense. Complementary. New niches 4 new plats
A5: #bigdatamgmt Chief #Hadoop niches include 1) staging, 2) sandboxing, & 3) archiving. All involve moving data in&out of Hadoop.
A5: #bigdatamgmt Ambiguous question has a 3rd possible interpretation: "Hadoop niche plat within data archs?" Answer is "yes, increasingly."
A5: #bigdatamgmt This is ambiguous. Q could mean "#Hadoop becoming source platform?" or "people abandoning Hadoop?" Answer to both is no
A4. Real-time analytics on real-time data means stream processing on data in motion #bigdatamgmt
A4: Integration of DW & Hadoop is possible as well to get the best of both #BigDataMgmt http://ow.ly/vPPkS
A4. Exploratory analytics on schema less multi-structured data will likely choose Hadoop #bigdatamgmt
#bigdatamgmt A4: People know where EDWs excel, but still have the open q in their minds "Will Hadoop be as good/cheaper?"
A4: Most CIO's don't believe Hadoop is going 2 replace EDW, each will have its place #BigDataMgmt http://ow.ly/vPPqN
A4: #bigdatamgmt Consider "where data should go" & "where workloads should go" issues jointly. In-db analytics says wklds should go to data
A4: #bigdatamgmt Data doesn't live in just one platform throughout its lifecycle. It "should go" to any/all them, depending on workloads
A4: #bigdatamgmt Tiered arch o fit-to-purpose data plats: source (OLTP), staging (Hadoop, NoSQL), EDW (RDBMS), access (in-mem, colmnr), etc
A3: Some industries keep data 50-99 years, eventually value declines. Don't have to store it all on expensive platform. #BigDataMgmt
A3:Think from C's PoV. Can u find valuable use cases utilizing "old" data? If not move it 2 archs 4 #DataScientist to explore #bigdatamgmt
A3: #bigdatamgmt Store older/less-used data on cheaper/bulk/offline storage & new/more-used data on fast, online storage platforms.
A3: #bigdatamgmt Store data only as long as a) mandated by extl/internal requirements and b) provides biz value outweighing carrying cost
A3: #bigdatamgmt Store the data sets needed for current/anticipated operational reporting, decision support, perf mgt, mining, compliance
A2: Store until decisions made from #bigdata are very minimally marginal and have a higher cost than benefit. #bigdatamgmt
70% of enterprise data is debris, 50-75% of OLTP data is dormant, why keep it? #BigDataMgmt http://ow.ly/vPOVm
A2: #BigData storage is essential for data journalists though. Records and archives makes so many of those viral infographics #bigdatamgmt
A2: #bigdatamgmt Rarely true that "don't know when might need" older data. Specific future scenarios (eg compliance rptg) might be clear
A2: #bigdatamgmt Priority data reqs--present & anticipated--must drive retention. If don't foresee scenario where old data needed, purge
A2: #bigdatamgmt Storing "everything" only makes sense if data tiny or if storage free/infinite & retrieval magically fast & precise
A2: #bigdatamgmt Hoarding is never wise, in any sphere of human activity, data or otherwise. Curating, archiving, & purging always essential
A1:operational data has a sell-by date for its intended purpose,for analytics,could be foreverAnalytical data is "used" #bigdatamgmt
A1: #bigdatamgmt "Typicality" of #bigdata lifecycle varies by platforms. #Hadoop data mgmt lifecycle differs from OLTP, RDBMS, EDW, etc
A1: #bigdatamgmt Lifecycle of unstructured #bigdata often quite different from structured data: discovery, profiling, analysis, use, etc
A1: #bigdatamgmt "Bigness" of #bigdata intensifies lifecycle challenges: scaling, optimization, protection, exploration, etc.
A1: #bigdatamgmt #BigData lifecyle is data management lifecycle: originate, acquire, integrate, process, govern, analyze, deliver, use.
@IBMbigdata Happy to snapping my fingers to the keyboard on today's #bigdatamgmt chat. Lifecycle lifecycle!
RT @IBMbigdata: 22 mins to #bigdatamgmt chat w/ @mikeferguson1, @BTRG_MikeMartin and @jameskobielus. Join us! http://bit.ly/1eJkPKJ
RT @kexpplaylist #kexp Wash Yr Hands by Falcons Of Fine Dining from Demo JK--2014. I thought this was a lost Devo track. Derivative but good
You'll see blogs from me weekly while I'm away. I've pre-written 7 of them. To be posted by the various editors.
Next quick-hit will be Monday May 19. Vacation & business trip between then and now. I work tomorrow, but wrapping stuff pre-vacation.
Context accumulation? Grounding cognitive confidence in the probabilistic fabric of the real world (http://ow.ly/vQv5E ) Wed #IBM q-h
RT @kexpplaylist #kexp Making Plans 4 Nigel by XTC from Waxworks: Some Singles 77-82 JK--Plans 4 Nigel 2 execute or is plan 2 execute Nigel?
People promise stuff w/reckless abandon. Always good 2 assign them tiny token task 2 gauge their sincerity. See if can B relied on 4 largers
One of life's greatest challenges is to get people to sit still so you can finish a sentence. That includes simple sentences. Even fragments
@Pini_Yakuel What "approach"? It's just a metaphor.
"Predictive analysis to identify who will revisit your site in next few days" (http://ow.ly/vPe5f ) JK--Article specifies key data points
Well, at least they didn't call the vulnerability "Aortic Aneurysm."
"Using #IBM #Watson Foundations to read emotions" (http://ow.ly/vOV6I ) JK--Great piece by Joe Clabby on facial imaging.
Internet o Things? Th binocular vision & opposable thumb o cognitiv cmptg p1: http://ow.ly/vO0Qf p2: http://ow.ly/vO0Rt Tues #IBM qh
Orwell's "Big Brother." Mine's never been totalitarian 2 me, nor I to my youngers. But I suppose there's a little bit of Stalin in all bros
"Bluetooth Wants Its Bite o #BigData" (http://ow.ly/vNYCK ) JK--For IoT wearable wirelss device connect 2 feed/consume data to/from cloud
RT @kexpplaylist #kexp My Girls by Tears For Fears from My Girls JK--2014. Animal Collective covr by moody indie duo best known for 80s hits
"Music analytics is helping music industry see into future" (http://ow.ly/vNXhw ) JK--But that's just sensing applause, not quality.
"Data: The Modern Tribal Bonfire" (http://ow.ly/vNW1m ) JK--If McLuhan were still around, I'd yank him into this discussion, a la Woody
Thinking of starting my next blog by tracing the origin of #bigdata back to caveman days. Not.
I've never bought into this "the PC is dead" jazz. A laptop is just a PC you carry around with you. I'm typing this on one now. It's alive.
"Building a #Hadoop DW: Dr. Ralph Kimball Answers Your Questions (http://ow.ly/vNRjp ) JK--Excellent practical detail in his responses.
Join me et al on #BigDataMgmt chat "Managing the lifecycle of #bigdata" tomorrow 12pm ET http://bit.ly/1eqwwpp
#Watson won the Masters? We approve!
A8 A good Chief Customer Officer can tie it all together across silos + create unified, internal understanding. #CXO
A8: #cxo Business should do CXO in a closed-loop: improving satis metrics which drives recommendations which drives cust acquisitions
A8: #cxo Customer Influence, customer word of mouth, & customer acquisition: a happy customer tells the world.
A7: Give them access to the same data (for starters), and then build cross-functional team w/authority to review/react to that data #CXO
A7: #cxo #Custserv teams must collab with #quality assurance teams to define key quality KPIs highlighted in operational analytics
A7: #cxo Orgs should converge #quality & #custserv roles. Quality assurance must be in core skillset of all customer-facing roles
A6: #cxo If your quality-relevant #bigdata is primarily in an exploratory sandbox that doesn't drive operational decisions, it's useless
A6: #cxo To leverage #bigdata for improving service quality, need it to feed useful analytics (reports, KPIs, etc.) for decision makers
A6: #cxo If you fail to use your #bigdata to find service problems before the customer churns, that's a huge problem.
A6: #cxo By itself, #bigdata doesn't help or hinder service quality. Success (or lack thereof) in assure qual requires U mine that data
A5: #cxo Fixing gaps in service quality may require closed-loop remediation/data gathering with A/B testing.
A5: #cxo Gaps in service quality may be complex and involve many variables over time. Do historical & predictive stat analysis.
A5: #cxo If you provide products/services that generate Internet of Things data, and customers grant access, may show service degradation
A5: #cxo If you're doing e-commerce, web analytics data (eg., browser & cart abandonments) may signal low-quality experience
A5: #cxo VoC data is a perfect source of intelligence to identify service quality gaps.
A4: #cxo Don't be in thrall to your own marketing message. Level of cynicism that customers express shows how hollow they consider it 2 B
A4: #cxo Ongoing Voice of the Customer (VoC) programs are essential for tuning your listening to what they're really saying.
A4: #cxo Customers will tell you whether the value they receive matches what your marketing boasts. And they'll tell you bluntly.
A3: #cxo Automation can provide foundation for customer self-service. Some customers may value greatly, but others may consider a burden
A3: #cxo If you automate the human engagement element out of a process, you may be sabotaging what customers value most. Careful!
A3: #cxo Automation can address quality elements: speed, consistency, and transparency. But don't automate fundamentally bad solutions
A2: #cxo If your product is so-so, but service top-notch, I'll cut you some slack. If you show steady prod-quality improvements, I'll stay
A2: #cxo If I purchase product from you, and it screws up once, & you take forever to repair, your poor service has annihilated quality
A2: #cxo Quality intrinsic to entire customer value experience--products, services, etc. No Solomonic cleaving them: all equally important
A1: #cxo Quality is each of you sweating the details of all the work that you personally have some contribution to.
A1: #cxo Quality is NOT a class that your boss forces you to attend for 3 days and then never mention again.
A1: #cxo Quality comes down to everybody vetting everything constantly at every level: inputs, work in progress, deliverables.
A1: #cxo Orgs that emphasize quality take no excuses for shoddy work. Serious consequences for inattention, negligence, & laziness
A1: #cxo Quality is obsessive attention to getting it right. Orgs focused on quality have culture that incentivizes that obsession
1hr to #CXO chat: Build’g #quality in the #custexp w/ @JTweeddale http://bit.ly/1lWdiKB #cxpa #mktg #custserv
RT @IBMAnalytics @jameskobielus answers all your #bigdata Qs http://bit.ly/1jL4Efi pic.twitter.com/ix0m2ppYH6 JK--Yikes! Not literally ALL!
"Adopting Information Governance in #BigData Era" (http://ow.ly/vLyZQ ) JK--#IBM Redbook. Download: http://ow.ly/vLzc8 #IBMDataMag
"Governance Building Blocks" (http://ow.ly/vLxyp ) JK--Redbook: "#IBM Info Gov Solutions." Download: http://ow.ly/vLxTX #IBMDataMag
"Open Ecosystem Access" (http://ow.ly/vLx6G ) JK--Details on the new IBM InfoSphere BigInsights Version 2.1.2. #IBMDataMag
"Data Is Reality" (http://ow.ly/vLrHJ ) JK--Steve Adler says "open data standards can help societies safeguard pasts+futures" #IBMDataMag
Catching up on loose ends. I do this in bursts so that I'm never at wit's end.
RT @kexpplaylist #kexp The Robots by Kraftwerk from The Mix JK--1991. This remix gives the robot a warmer personality and a bit of sly wit.
Machine learning? Autom8ng log-data anlysis thru unsup/rnforce learn algos p1: http://ow.ly/vL7n0 p2: http://ow.ly/vL7oL Mon #IBM qh
RT @kexpplaylist #kexp Do I Have the Time by Jessica Lea Mayfield from Make My Head Sing JK--2014. Wow. Electric rush becomes this folkie.
RT @kexpplaylist #kexp Make It Good to Me by SJones & Dap-Kings from Dap-Dippin' With... JK--2002. By now, an oldie...that sounds oldie-er
"Made in #IBM Labs: Dynamic Prioritiztion o Data in Cloud" (http://ow.ly/vL549 ) JK--QoS priorities can B modified per real-time/expected
I've never once felt I needed to read the articles LinkedIn recommends. If perhaps LinkedIn read my posts to LinkedIn, it might have a clue
Classical radio playing "Lone Ranger" theme, "Hello Muddah Hello Faddah," & somethng from Bugs Bunny. Glad they're finding apps 4 this stuff
RT @kexpplaylist #kexp Straight Edge o th Blade by Jenny & Johnny from Im Having Fun Now JK--2010. Fine exampl o Jenny Lewis sweet acid ooze
Hillary handled th flying shoe incident like good stand-up comic, cracking wise and absorbing the incident into the ongoing flow of her talk
"Artificial Intelligence Is Next Frontier 4 Social Nets" (http://klou.tt/1rhgpdydveazl ) JK--AKA cognitiv computg, machine learning, image...
"It's Official: Forrester Says Campaign Marketing Is Dead" (http://bit.ly/1sVna9e ) JK--They officially say it. It's not officially true.
RT @manamica: "The reward of a thing well done is to have done it." - Ralph Waldo Emerson
It's funny how people seem to think "evangelist" is a nouveau term for IT thought-leadership marketing. I've heard it for many years.
RT @kaggle: New challenge w/350MM rows o fascinating basket-level data. Predict which shoppers become repeat-buyers? https://www.kaggle.com/c/acquire-valued-shoppers-challenge …
I have the utmost respect for people who deliver consistently without complaining or making excuses. Just do the work, please.
Building our pipeline of great contributors to #IBMDataMag. Feels good to see all the great pieces queued up for posting.
Cool. Weight's down to the lowest it's ever been in my adult years. Not doing anything different. Just working hard & watching what I eat.
WSJ Stanley Bing: "Social media is linking all human life on the planet into one gigantic brain stem throbbing with unintelligible thought."
I think Samantha Bee & Jason Jones should get Colbert's vacating slot on Comedy Central. A dynamic married duo.
WSJ says digitizing Vatican library a "mammoth task, involving 43 quadrillion bytes." Just say 43 petabytes. I had to translate in my head.
Need a new word to describe a new human-induced geological phenomenon: "frackquake."
Anyone who has watched Stephen Colbert for any time can see what kind of person he is. Steps out of character often. Interviews, especially
OK,so somebody several hundred years after Jesus' death says he mentioned a wife. I'll accept that. Matthew, Mark, & Luke--what'd they know?