Seizing the Data at HP Big Data Conference 2015
Peter Krensky is a Research Analyst in Aberdeen's Analytics & Business Intelligence (BI) practice.
AUG 20, 2015 14:07 PM
A+ A A-
Last week I spent two days at the HP Big Data Conference 2015, right here in lovely Boston. VP of Marketing for HP Big Data Jeff Veis kicked things off and established the conference theme of “Seize the Data.”
 
EVP of HP Software Robert Youngjohns was up next to share where Big Data fits within HP’s overall strategy. He conveyed HP’s vision of applying analytics in every corner of the business and supporting 100% of their clients’ data. Mr. Youngjohns also emphasized HP’s ethos that developers are the key to unlocking value, as well as the company’s commitment to embracing open source technologies and unleashing the full potential of Hadoop.
 
Next up was Colin Mahony, SVP and GM of HP Big Data. Mr. Mahogany pointed out that business does not exist to drive data, but rather, data should drive business impact. He also equated statisticians with data scientists (which ruffled a few feathers in my section of the auditorium).
 
Dr. Michael Stonebraker, CTO and co-founder of Tamr (and recent Turing award-winner, among many other things), joined Mr. Mahony on stage to offer his views on the current state of Big Data. Dr. Stonebraker encouraged organizations to get agile in their data integration, and encouraged information workers to retrain themselves and “get smart on data science.” He supported the open source spirit of the day by urging the audience to check out Kafka and Storm.
 
Dr. Stonebraker also compared data lakes to junk drawers, but did offer the suggestion that you curate data from this junk drawer and then load it into Vertica. He concluded with a refreshingly honest sentiment that got an uncomfortable laugh from the audience: “You’ve all believed this succession of hype,” said Dr. Stonebraker, “You guys should all be way, way more cynical.”
Highlight: Read Aberdeen’s report on Dr. Stonebraker’s baby — Columnar Databases.
 
The final speaker of the morning was Poppy Crum, Senior Principal Scientist for Dolby Laboratories. Dr. Crum is a neurophysiologist, which gives her the right to throw around phrases like “foviated visual acuity.” Her fascinating work includes ways to enhance sensory processing and optimize environments and feedback for maximum learning and performance.
 
She concluded her presentation with a demonstration of the danger of ambiguity and how the visual system can bias the auditory system. Crum played a section of “Stairway to Heaven” backwards for the audience, which sounded like gibberish, then played the same section, this time with suggested lyrics that suddenly made the satanic undertones of Led Zeppelin’s music clear.
 
Day 2 opened with FiveThirtyEight.com Founder and Editor-in-Chief Nate Silver. Mr. Silver spoke about several prominent failures in prediction using Big Data and put up a hype curve with Big Data at the peak. He also confessed that unjustified hype can have its benefits, as the buzz surrounding Donald Trump’s presidential candidacy has driven FiveThirtyEight.com’s traffic to levels usually only seen in the months leading up to an election.
 
Mr. Silver offered three suggestions for achieving success with Big Data analytics:
 
    Think Probabilistically
    Know Where You’re Coming From
    Try and Err
 
Mr. Silver appropriately concluded his talk with a sports analogy, stating that data science as a field is only now in ‘the top of the second inning.’ I was also thrilled to learn that he is a devoted Stata user.
 
Mr. Rudin spoke about the great challenge of hiring the right people to create a successful analytical culture. Finding individuals who are academically talented and business-savvy is no easy task. Facebook runs a “Data Camp” to immerse new hires in the analytical approach of the organization. Mr. Rudin also won extra points from me for including a Groundhog Day reference in his presentation.
 
I’d like to thank everyone at HP for their hospitality, and I hope everyone in attendance enjoyed their time in Boston.
 
Ken Rudin, Director of Analytics at Facebook, closed things out in the Day 2 keynote. He debunked four prominent and popular myths about Big Data:
 
    Big Data=Hadoop
    Big Data provides better answers
    Data Science is a science
    Actionable insights are the goal
 
Mr. Rudin spoke about the great challenge of hiring the right people to create a successful analytical culture. Finding individuals who are academically talented and business-savvy is no easy task.
 
Peter Krensky is a Research Analyst in Aberdeen's Analytics & Business Intelligence (BI) practice.
FIRST
PREV
NEXT
LAST
Page(s):
[%= name %]
[%= createDate %]
[%= comment %]
Share this:
Please login to enter a comment:
 

Computing Now Blogs
Business Intelligence
by Keith Peterson
Cloud Computing
A Cloud Blog: by Irena Bojanova
The Clear Cloud: by STC Cloud Computing
Careers
Computing Careers: by Lori Cameron
Display Technologies
Enterprise Solutions
Enterprise Thinking: by Josh Greenbaum
Healthcare Technologies
The Doctor Is In: Dr. Keith W. Vrbicky
Heterogeneous Systems
Hot Topics
NealNotes: by Neal Leavitt
Industry Trends
Internet Of Things
Sensing IoT: by Irena Bojanova

 

RESET