Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Big Data, Data Warehousing and the Strata Conference
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > Big Data, Data Warehousing and the Strata Conference
AnalyticsData WarehousingMarketing

Big Data, Data Warehousing and the Strata Conference

Barry Devlin
Barry Devlin
3 Min Read
SHARE

Having keynoted, spoken at and attended the inaugural O’Reilly Media Strata Conference in Santa Clara over the past few days, I wanted to share a few observations.

With over 1,200 attendees, the buzz was palpable.  This was one of the most energized data conferences I’ve attended in at least a decade.  Whether it was the tag line “Making Data Work”, the fact it was an O’Reilly event or something else, it was clear that the conference captured the interest of the data community. 

Having keynoted, spoken at and attended the inaugural O’Reilly Media Strata Conference in Santa Clara over the past few days, I wanted to share a few observations.

More Read

Happy Data Privacy Day!
Impressions from Dreamforce 2013
What To Know About The Importance Of Analytics In Content Marketing
How Big Data Can Improve Manufacturing Quality
Apache Spark and Hadoop: The best big data solution for enterprises

With over 1,200 attendees, the buzz was palpable.  This was one of the most energized data conferences I’ve attended in at least a decade.  Whether it was the tag line “Making Data Work”, the fact it was an O’Reilly event or something else, it was clear that the conference captured the interest of the data community. 

The topics on the agenda were strongly oriented towards data science, “big data” and the softer (aka less structured) types of information.  This led me to expect that I’d be an almost lone voice for traditional data warehousing topics and thoughts.  I was wrong.  While there certainly were lots of experts in data analysis and Hadoop, there was no shortage of both speakers and attendees who did understand many of the principles of cleansing, consistency and control at the heart of data warehousing.

Given the agenda, I was also expecting to be somewhat of the “elder lemon” of the conference.  Unfortunately (in my personal view), in this I was correct.  It looked to me that the median age was well south of thirty, although I’ve done no data analysis to validate that impression.  Another observation, which was a bit more concerning, was that the gender balance of the audience was about the same as I’ve seen at data warehouse conferences since the mid-90s: about the same mid-90s percentage of males.  It seems that data remains largely a masculine topic.

The sponsor / vendor exhibitor list was also very interesting.  There were only a few of those that turn up at traditional data warehouse conferences.  Of course, the new “big data” vendors were there in force, as well as a few information providers.  Of the relational database vendors, only ParAccel and AsterData were represented.  Jaspersoft and Pentaho represented the Open Source BI vendors. While Pervasive and Tableau rounded out the vendors I recognized from the BI space.

As a final point, I note that the next Strata Conference has already been announced: 19-21 September in New York.  Wish I could be there!

TAGGED:big dataStrata Conference
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data migration risk prevention
Best Approach to Risk Management for Data Migration in Data-Driven Businesses
Big Data Data Management Exclusive Risk Management
AI in branding
How Data Analytics and Data Mining Strengthen Brand Identity Services
Big Data Exclusive
Hidden AI, a risk?
Hidden AI, Real Risk: A Governance Roadmap For Mid-Market Organizations
Artificial Intelligence Exclusive Infographic
unusual trading activity
Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Hospitality Industry
AnalyticsBig Data

The Hospitality Industry Benefits From the Emergence of Big Data

5 Min Read

A Guide to Career Success for Aspiring Big Data Analysts

5 Min Read
big data and connected cars
Data Quality

How Connected Cars And Insurance Are Influenced By Big Data

7 Min Read
data analytics and software development
Software

Data Analytics Assures Quality Assurance with Software Development Outsourcing

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?