Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Data 101

9:00am–12:30pm, Tuesday, Septeber 26th, 2017
Strata Business Summit
Location: 1E 11

Today’s business environment requires shifting from using data operationally—reporting on inventory, checking the results of marketing campaigns, tracking issues and resolutions, and the like—to using data strategically—instrumenting, experimenting, and testing throughout the organization. Managers must understand data topics such as machine learning, visualization, and real-time processing and be ready to make decisions about popular tools like Spark, Kafka, and Hadoop. Data 101 introduces you to core principles of data architecture, teaches you how to build and manage successful data teams, and inspires you to do more with your data through real-world applications. Setting the foundation for deeper dives on the following days of the Strata Data Conference, Data 101 reinforces data fundamentals and helps you focus on how data can solve your business problems.

Tuesday, 09/26/2017


9:00am–9:05am Tuesday, 09/26/2017
Location: 1E 11
Dan Roesch (Roesch & Associates LLC)
Dan Roesch, managing director of Roesch & Associates LLC, welcomes you to the Data 101 tutorial. Read more.


9:05am–9:30am Tuesday, 09/26/2017
Enterprise adoption
Location: 1E 11 Level: Non-technical
Edd Wilder-James (Google)
AI is white-hot at the moment, but where can it really be used? Developers are usually the first to understand why some technologies cause more excitement than others. Edd Wilder-James relates this insider knowledge, providing a tour through the hottest emerging data technologies of 2017 to explain why they’re exciting in terms of both new capabilities and the new economies they bring. Read more.


9:30am–10:00am Tuesday, 09/26/2017
Location: 1E 11
Mikio Braun (Zalando)
Average rating: *****
(5.00, 1 rating)
Mikio Braun reviews recent advances in deep learning, highlighting the kinds of problems deep learning can solve and the architectures used in different contexts. Mikio also covers the mechanics underlying the learning process of these systems and offers an overview of the technological advances like GPU computing, which have made the recent progress in this area possible. Read more.


10:00am–10:30am Tuesday, 09/26/2017
Location: 1E 11
Javier Esplugas (DHL Supply Chain), Kevin Parent (Conduce)
Average rating: *****
(5.00, 1 rating)
DHL's Javier Esplugas and Conduce's Kevin Parent explain how the two companies have implemented an IoT pipeline that gives managers and executives real-time insight into warehouse operations, helping them to identify potential hazards, reduce costs, and increase productivity. Read more.


Morning break (30m)


11:00am–11:30am Tuesday, 09/26/2017
Location: 1E 11
Jim Scott (NVIDIA)
The cloud is becoming pervasive, but it isn’t always full of rainbows. Defining a strategy that works for your company or for your use cases is critical to ensuring success. Jim Scott shares use cases that may be best run in the cloud versus on-premises, points out opportunities to optimize cost and operational benefits, and explains how to move your data between locations. Read more.


11:30am–12:00pm Tuesday, 09/26/2017
Location: 1E 11
Melanie Warrick (Google)
Melanie Warrick explores the definition of artificial intelligence and seeks to clarify what AI will mean for our world. Melanie summarizes AI’s most important effects to date and demystifies the changes we’ll see in the immediate future, separating myth from realistic expectation. Read more.


12:00pm–12:30pm Tuesday, 09/26/2017
Location: 1E 11
Sarah Manning (Etsy)
Sarah manages the Analytics Engineering team at Etsy. Her team’s analytics pipeline, datasets and tooling make it feasible to rapidly A/B test and monitor product feature changes on live traffic across all platforms, and continually quantify the impact of any change within a scientific methodology. Read more.


Lunch (1h)