Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Data 101

9:00am–12:30pm Tuesday, 09/27/2016
Location: 3D 04/09

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 Strata + Hadoop World, Data 101 reinforces data fundamentals and helps you focus on how data can solve your business problems.

Tuesday, 09/27/2016

9:00am

9:00am–9:05am Tuesday, 09/27/2016
Data-driven business
Location: 1B 01/02
Marie Beaugureau (O'Reilly Media, Inc. )
Average rating: ****.
(4.00, 1 rating)
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 Strata + Hadoop World, Data 101 reinforces data fundamentals and helps you focus on how data can solve your business problems. Read more.

9:05am

9:05am–9:30am Tuesday, 09/27/2016
Data 101
Location: 1B 01/02
Edd Wilder-James (Google)
Average rating: ****.
(4.50, 4 ratings)
Spark is white-hot at the moment, but why does it matter? 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 2016 to explain why they’re exciting in terms of both new capabilities and the new economies they bring. Read more.

9:30am

9:30am–10:00am Tuesday, 09/27/2016
Data 101
Location: 1B 01/02
Ben Sharma (Zaloni)
Average rating: ***..
(3.50, 4 ratings)
Ben Sharma uses popular cloud-based use cases to explore how to effectively and safely leverage big data in the cloud to achieve business goals. Now is the time to get the jump on this trend before your competition gets the upper hand. Read more.

10:00am

10:00am–10:30am Tuesday, 09/27/2016
Data 101
Location: 1B 01/02 Level: Non-technical
Amihai Savir (EMC)
Average rating: ***..
(3.67, 3 ratings)
In the age of big data analytics, smart monitoring and predicting abnormal behavior of corporation mission-critical systems can save large amounts of time and money. Drawing on a real-world case study from EMC, Amihai Savir examines the winding path from idea to viable solution in a corporate environment and walks you through challenges encountered and lessons learned. Read more.

11:00am

11:00am–11:30am Tuesday, 09/27/2016
Data 101
Location: 1B 01/02
Average rating: ****.
(4.33, 3 ratings)
In chess, we might think of strategy as finding the patterns that put us in a better position to win. The same holds true for winning with data. Jerry Overton explains how to build and execute real data strategies, sharing basic methods for building strategic maps and launching data projects that will shorten the time it takes to gain insight into your most important business questions. Read more.

11:30am

11:30am–12:00pm Tuesday, 09/27/2016
Data 101
Location: 1B 01/02 Level: Beginner
Average rating: ****.
(4.33, 3 ratings)
Data scientists use statistics to reach meaningful conclusions about data. Unfortunately, statistical tools are often misapplied, resulting in errors that cost both time and money. Deborah Berebichez presents examples of egregious misuses of statistics in business, technology, science, and the media and outlines the simple steps that can reduce the chance of being fooled by statistics. Read more.

12:00pm

12:00pm–12:30pm Tuesday, 09/27/2016
Data 101
Location: 1B 01/02
Julia Rodriguez (Eagle Investment Systems)
Average rating: ****.
(4.00, 1 rating)
Julie Rodriguez introduces new visualization methods that provide greater clarity to your data, demonstrating how to show associations and links between datasets to understand the impact one value has on another, how to communicate time-lapsed data to understand the context of an event, and how to display multiple variables to analyze and compare attributes. Read more.