Poor
Charlie Brown. Since Schulz passed, there's been no chance Lucy will hold th
ball still 4 him 2 kick. It's "AUUGGHH!!!!" 4 all eternity
@JeffFeinsmith Really? Coffee? The
beautiful location is the highlight of my visits to #IBM Silicon Valley
Lab. That + smart conversations
"Trusting
#BigData"
(http://ow.ly/p4afD )
JK--Good discussion by #IBM
Paula Sigmon. Puts into proper context: decision latency/confidence
"Beyond
Higgs Boson" (http://ow.ly/p49OW ) JK--"Reality is
combination o all observable possibilities combined into single wave
function"
"How
to find out what data miners know about you" (http://ow.ly/p492T )
JK--Curb yr enthusiasm! It's only Acxiom & other data aggregators
@ingrooveinc As far as tech
marketing goes, marketing that hews closest to actual substance o what it can
do is best. Smart people eschew BS
@sachin_pro I drafted it and sent it
to the editors. It hasn't posted yet.
Coffee
snobs. Wine snobs. Beer snobs. Softdrink snobs. Are there schnapps snobs?
Drafted
my latest #IBM #Dataversity
blog: Data Scientists Need a Professional Code of Conduct
Good
ideas well-expressed and widely distributed are the best reputation builders.
@merv Both Starbucks and Peets are fine. I
also love Tully's, but that's mostly around Seattle .
Join
now today's #BigDataBytes
videochat How #OpenSource
is Changing Biz. http://ibm.co/BDBytes . Also read my
blog: http://ow.ly/p40E7
Join
today's #BigDataBytes
videochat w/ @eric_kavanagh @revodavid. How #OpenSource
is Changing Biz. http://ibm.co/BDBytes 2PM EST
@merv I like the #Peets that they
already have at SVL. That's my vote, but I don't work out of that lab very
often, so don't listen to me.
New
#IBM jk #InfoWorld
article: "DevOps can take data science to the next level" (http://ow.ly/p3w19 )
Drafted
next #IBM blog:
"Living the #BigData
Dream: Confidence, Confidentiality, and Continuous Automation in the 21st
Century"
"#IBM Acquires Daeja
Image Systems Ltd." (http://ow.ly/p3l2L ) JK--Software helps
biz/IT pros to better view large documents and images
I
think notion of "people skills" is wrongheaded. People are skilled at
all kinds of nastiness. Call it "getting-along-with-people skills."
Finding
the proverbial needle in a haystack? Even more impressive would be finding hay
in a needlestack without pricking yourself.
Recommendation
engines? Inherent inscrutability o personal preference pt1 (http://ow.ly/p3eST )
pt2 (http://ow.ly/p3eW3 )
Fri #IBM q-h
Pope
got it right. Catholic Church became monomaniacally focused on abortion over
past 40 years. Homilies degenerated into nasty lectures.
RT
@kexpplaylist #kexp I Wanna Be
Your Boyfriend by The Ramones from The Ramones JK--Perfect example of their
blend of punk & bubblegum
Incandescent
light. Edison 's invention is the most obvious
human artifact visible from space. At night. Our species' photonic footprint.
Wrote
all 5 of next week's quick-hits in a single day. There were no distractions. I
bless these days when they come. Which isn't often.
Engage.
Enrage. Estrange. The on/off hot/cold lifecycle of a fatiguing relationship:
B2C or otherwise.
"How
in-store location analytics ...impact on retail customer loyalty" (http://ow.ly/p1vOt )
JK--Cool visual-enriched data sci discussion
"#BigData From
Talking Turbines Signal Productivity Boom" (http://ow.ly/p1uFY )
JK--Era o continuous optimizd global IoThings approacheth
"Ten
Reasons for the Data Science Mania" (http://ow.ly/p1tPv )
JK--Good discussion by Robin Bloor.
"NSA
Data Mining: How It Works" (http://ow.ly/p1tk8 )
JK--Interesting discussion in, what?, "Popular Mechanics"?
"How
Twitter monitors millions of time-series" (http://ow.ly/p1swc )
JK--Interesting discussion of something called "Observability Stack"
Today
is "talk like a pirate day." Do software pirates say "arrr me buccos"
and all that? Not in a post-ironic slacker way? Didn't think so.
These
ridiculous "connect with yr college classmate" svcs. I went to Big Ten
universities. Have no interest in meeting random stranger alums
@macadamianlabs Thanks. Please
note that on the same evening I tweeted that "I'm so fit" brag I also
tweeted about eating chocolate cupcake.
"Updating
our #Hadoop
Vocabulary" (http://ow.ly/p17ke ) JK--Gartner @merv recommends replace FUD-bait
"proprietary" w/ "distro-specific."
"Is
NoSQL the future of data storage?" (http://ow.ly/p16Rb )
JK--No. Just a facet in hybridized DB kaleidoscope of "polyglot
persistence"
"Google
taps #bigdata
for universal translator" (http://ow.ly/p15US ) JK--Parallel stat
analysis on massive comparative textual corpora
New
#IBM jk
AnalyzingMedia post: "Whitepaper: #BigData Analytics
For A Holistic Customer Journey" (http://bit.ly/1ds3oJU )
RT
@kexpplaylist #kexp Friction by
Television from Marquee Moon JK--Band was anomaly in day. Indie pioneers.
Verlaine played rockstar guitar
"Building
better search tools: problems and solutions" (http://ow.ly/p11Gg )
JK--Interesting dissection of Google search algorithm
"#Hadoop vs. #NoSql vs. Sql
vs. NewSql By Example" (http://ow.ly/p113O ) JK--Article makes
mistake of equating Hadoop with HDFS
"'Small
Data' Analysis Next Big Thing, Advocates Assert" (http://ow.ly/p10K4 )
JK--Please don't wimp down "next big" to mean "same old"
Starbucks'
new policy against firearms in their stores makes perfect sense. You don't want
trigger fingers to get caffeine jitters.
Conversation
optimization? (http://ow.ly/p0ZTi ) Thursday #IBM quick-hit
New
#IBM jk blog:
"Openness: Bringing Greater Transparency and Agility to the Smarter
Planet" (http://ow.ly/p0Z0I )
@WwDAdA I don't understand the question.
All No SQL dbs are alternatives.
How
did they know kryptonite had all these deadly & disabling effects on
Kryptonians if there was only one of th species left & he was fine?
September
2013 marks 10 years since Egidia & I started regular workouts.
Quality-of-life benefits immeasurable. Comfort & pride in own skin
NoSQL
market like looking thru kaleidoscope. Multicolored facets of myriad DB
approaches create dazzling but sometimes bewildering patterns
Has
there ever been a Tropical Storm Eliot? I'd like to see headlines about TS
Eliot leaving a wasteland in its precious poetic wake.
Colder
seasonal weather. I like it. I love being able to wear jackets again. One word:
pockets.
If
they ever make a biopic about Woodrow Wilson, I nominate Edward Norton to play
him. Essentially, the same face. Norton is Ivy League too.
Busy
day. It's all a blur now. Tonight. Dinner over. Eating a chocolate cupcake. Reading Monday's
dried-out-crisp formerly soaked WSJ.
Thinking
about "desired outcomes." If U have to explicitly think about
"desired" vs merely "desirable," you point your predictives
at former
Thinking
about "assurance." If you have to explicitly think about assurance,
you ponder the ones you absolutely need for trust & confidence.
Thinking
about "trust." If you have to explicitly think about trust, your
focus spans the entire enforcement & verification machinery.
Thinking
about "confidence." If you have to explicitly think about confidence,
you're not taking it for granted. It's not unconditional.
A8:
#ibmblu
What's next for workload mgt is prioritizing data-analytic workloads &
media-analytic workloads in streams in Big Media cloud
A8:
#ibmblu
What's next for workload mgt is dynamic allocation of analytic/txn workloads
among peer-to-peer edge nodes in Internet of Things
A7:
#ibmblu If
you have OLTP system-of-record on data platform, record-level update &
delete workloads usually take priority over reads.
A7:
#ibmblu If
merge OLTP & OLAP, data platform must meet the most stringent "bet the
business" SLAs. Business downsize of downtime is acute
A7:
#ibmblu If
merge OLTP & OLAP, need data platform with both transactional guarantees
& lightning-fast data ingest, analysis, & query
A6:
#ibmblu In #bigdata envts,
often best to do OLAP on in-mem/columnar, #EDW on RDBMS,
staging on #Hadoop.
Each optimized 4 specific wklds
A6:
#ibmblu Most
companies start from merger of OTLP & analytic workloads, then migrate
toward optimized platforms for each of these wklds
A5:
#ibmblu If
client and server in-mem and connected by fast broadband, the wkld mgt must
ensure high-throughput end-to-end flow.
A5:
#ibmblu If
spd-o-thot requires much server-roundtripping, those lo-latency cli-svr
requirements must prioritize over other loads
A5:
#ibmblu If
speed-of-thought is viz-intensive & can be support on in-mem w/min server
roundtrip, wkld mgt req is simple: feed data fast
A4
#ibmblu #Analytics
workloads increasing as the volume of data ingested & size/complexity of
models executed on it grow by order-of-mag
A4:
#ibmblu #Analytic
workload demands increasing as all biz apps moving 2 real-time, low-latency
data, calculation, & visualization refresh
A4:
#ibm #Analytics
workload demands are increasing as #BI adopted by all
biz functions & predictive business becomes standard everywhere
A3:
#ibmblu As
data sets grow bigger, if data platf hasnt scaled commensurately, need
mixed-wkld mgt to prioritize loads on constraind platf
A3:
#ibmblu As
data sets grow bigger, svc lvl requirements may stay same, but workloads may
grow, so wkld resource contention may intensify
A2:
#ibmblu Auto
workload mgt has evolved toward balance & prioritize growing range of
disparate #bigdata
workloads in massive parallel env
A2:
#ibmblu
Automated workload mgt has evolved toward visually oriented policy admin
consoles & dynamic #bigdata query
& load optimization
A2:
#ibmblu
Automated wkld mgt manages mixed loads using policy-based tools to ensure
allocation of resources per business priorities
A1:
Dynamic workloads and impact of complex analytic queries can be significant to
the simple queries #ibmblu
Retweeted
by jameskobielus
RT
@Keith_Carlsen A1 I’m seeing
needs for speed and larger data volumes. Complex SQL generated by tools. #ibmblu
Retweeted
by jameskobielus
A1:
#ibmblu
Mixed-workload mgt is the norm with #bigdata.
Concurrency of real-time & batch jobs, low-latency & batch, in-db apps
& data mgt
A1:
#ibmblu #BigData puts
priority on workloads involving in-database execution of advanced analytic
models. Real-time or batch.
A1:
#ibmblu
Low-latency workloads are becoming the norm with #bigdata. Used
to be the exception (pre-bigdata).
RT
@IBM_DB2: Join us today, 1 PM ET for #ibmblu chat http://ibm.co/17MdDqS
Workload Management for Growing Data
"Hecticity."
My dictionary doesn't show it as a word. It needs to be a word. Me, here, now.
Meaty
metadata? #BigData,
semantic search, and the decline of closed-ended intentionality (http://ow.ly/oYOlX )
Wednesday #IBM
quick-hit
Caught
some comedian in the Poconos doing his dirty nightclub act to a mostly
indifferent audience. Wish I'd recalled his name. Filthy funny
@bigdata_paulz Well, thankee
kindly Big Paulz!!!!!!
Little
Jimmy Dickens "May Th Bird Of Paradise Fly Up Yer Nose" (http://ow.ly/oY44m )
JK--Odd craving 2 hear this. Not sure why. Up yours!
Seeing
"Showgirls" (1995). Doesn't quite work as a Hollywood
entertainment or softcorn porn. Too long. Dialogue stinks to high heaven.
It's
official! LinkedIn informs me that I'm now connected to everybody who is
anybody in Big Data. My life's crowning achievement!
Hanging
with Sonya & Dylan in Harrisburg .
Brought her warmer wear & lots of provisions. Wilderness on the
Susquehanna.
Loyalty
marketing. You never hear about "disloyalty" in this context. It's
called "churn," & there's no stigma to the customer who dumps you
It's
a cold one this morning. Mid-40s. Less than a week to the autumnal equinox.
RT
@aricochet: June Foray: The Voice
Of Rocky And Natasha Earns An Emmy http://www.npr.org/2013/09/15/222092197/the-voice-of-rocky-and-natasha-earns-an-emmy?ft=1&f=1048 …
RT
@LisaOrrJohnston: IBM #Watson has
moved on to solutions that can power searches from smartphones; http://ow.ly/oSmns
#PowerSystems
RT
@JeffSheehan: "The greatest
oak was once a little nut who held its ground." #quote RT
@ptrakkonen
Definition
o perseverance is doing samething over&over expecting diff results. Def'n o
insanity is repeating phrase disconnectd from reality
Caught
Elia Kazan's "Splendor in the Grass" (1961) on PBS. Excellent drama.
Natalie Wood & Warren Beatty both put in fine performances.
Beautiful
day. And beautiful day to air out the house. Opened all the windows. Braced the
doors. Nice breezes, blue sky, placid, lo-humid
Thank
U Yahoo keyword newsclipping service 4 alerting me to posting of one of my
articles several months ago. Mayer turning the place around
Enjoying
Al Jazeera. A far more informative cable news channel than any of the US-based
networks. Very much like BBC News.
@ajbowles Better to get the most use
out of it. A fine and friendly little pocket media player. It's mine.
