Strata and Hadoop is where data science and new business fundamentals merge. And, in Strata and Hadoop World Conference, there were many famous personalities who have given their views on Hadoop and Big data. In this PPT, you will get to know about speakers who have spoken on this topic.

1. 10 Keynotes in
STRATA and HADOOP World Conference

2. Key-Note 1
Data is an evolving story. It’s not a static snapshot of a point in time insight. With data from internal and
external sources constantly updating, we are evolving from rear-view mirror dashboard views into an
era of interactive Storytelling. Data Storytelling is both a visual art and a method of interpreting analytic
results.
Sharmila Mulligan,
ClearStory Data
Source: http://strataconf.com/stratany2014/public/schedule/detail/37760
“Data & The New Era of Interactive Storytelling”

3. Key-Note 2
In a landmark partnership, IBM and Twitter are combining advances in analytics, cloud and cognitive
computing in a manner that has the potential to transform how institutions understand customers,
markets and trends.
Adam Kocoloski,
CTO IBM
Source: http://strataconf.com/big-data-conference-ca-2015/public/schedule/detail/40395
“A Bigger Lens Through which to View the World- the IBM Twitter Alliance”

4. Key-Note 3
Rosie Atkins,
Groupon
Source: http://strataconf.com/big-data-conference-ca-2015/public/schedule/detail/40171
“All You Need is Love. And Money. And Skill. And Location. And More Money.
And Luck. And Data(?)”
30% of restaurants fail in the first year, so why would anyone go into the business? Most restaurateurs will
tell you that it’s an act of love. They love hospitality; they love sharing great food; they love creating a
place where people come together to share something special. Almost none of them tell you that they go
into business based on data.

5. Kurt Brown
Director, Data Platform, Netflix
The Netflix Data Platform is a constantly evolving, large scale infrastructure running in the (AWS) cloud. We are
especially focused on performance and ease of use, with initiatives including Presto integration, Spark, and our
Big Data Portal and API.
“Big Data at Netflix: Faster and Easier”
Key-Note 4
Source: http://strataconf.com/big-data-conference-ca-2015/public/schedule/detail/138686

6. Data Science can bring scientific rigor to an organization’s decisions and processes. However, empiricism often
fails to properly account for social norms, human relationships, and phenomena that have yet to manifest
themselves in data. This is where intuition, cultural values, gut feel, and judgment—or “art”—still provide value
to decisions.
“Data (Art &) Science”
Key-Note 5
Eric Colson
Stitch Fix
Source: http://strataconf.com/big-data-conference-ca-2015/public/schedule/detail/38310

7. Designing data visualizations presents us with unique and interesting challenges: how to tell a compelling story;
how to deliver important information in a forthright, clear format; and how to make visualizations beautiful and
engaging. In this talk, Julie will share a few disruptive designs and connect those back to vizipedia, her compiled
data visualization library.
Julie Rodriguez,
Sapient Global Markets
“Data Visualizations Decoded”
Key-Note 6
Source: http://strataconf.com/big-data-conference-ca-2015/public/schedule/detail/38629

8. “Dynamic Events in Massive Data Streams, from Astrophysics to
Marketing Automation”
The Large Synoptic Survey Telescope (LSST.org), the most impressive astronomical sky survey ever designed,
will deliver multi-year temporal coverage of the dynamic Universe, while generating ~30 TB of imaging data
every night for 10 years. The final astronomical object catalog (database) is expected to be ~20 PB,
comprising over 200 attributes for each one of trillions of source observations – all available to the public
for exploration, education, and enjoyment.
Kirk Borne
George Mason University
Key-Note 7
Source: http://strataconf.com/big-data-conference-ca-2015/public/schedule/detail/38250

9. “From Source to Solution: Building A System for Machine and Event-
Oriented Data”
While we frequently talk about how to build interesting products on top of machine and event data, the
reality is that collecting, organizing, providing access to, and managing this data is where most people get
stuck. Many organizations understand the use cases around their data – fraud detection, quality of service and
technical operations, user behavior analysis, for example – but are not necessarily data infrastructure experts.
Eric Sammer,
CTO and co-founder of
ScalingData
Key-Note 8
Source: http://strataconf.com/big-data-conference-ca-2015/public/schedule/detail/38466

10. Amr Awadallah
Cloudera, Inc.
As Hadoop and the surrounding projects & vendors mature, their impact on the data management sector is
growing. Amr talks about his views on how that impact will change over the next five years.
“Hadoop's Impact on the Future of Data Management”
Key-Note 9
Source: http://strataconf.com/big-data-conference-ca-2015/public/schedule/detail/40400

11. The exponential growth of digitally stored data and the transition of data science from academia to real
world applications hold the promise of improving nearly every aspect of our lives. Michael Greene’s talk will
dive beneath the hype of “big data” and “analytics” to reveal what Intel is building with the open source
community to ensure that all developers have the tools needed to change the world with Apache Hadoop
and Apache Spark.
Michael Greene
Intel
“Intel and the Role of Open Source in Delivering on the Promise of Big Data”
Key-Note 10
Source: http://strataconf.com/big-data-conference-ca-2015/public/schedule/detail/40390