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

Schedule: Enterprise adoption sessions

1:30pm–5:00pm Tuesday, 09/27/2016
Location: 1B 01/02 Level: Intermediate
Tags: cloud
Andrei Savu (Cloudera), Vinithra Varadharajan (Cloudera), Jennifer Wu (Cloudera), Matthew Jacobs (Cloudera)
Public cloud usage for Hadoop workloads is accelerating. Consequently, Hadoop components have adapted to leverage cloud infrastructure. Andrei Savu, Vinithra Varadharajan, Matthew Jacobs, and Jennifer Wu explore best practices for Hadoop deployments in the public cloud and provide detailed guidance for deploying, configuring, and managing Hive, Spark, and Impala in the public cloud. Read more.
11:20am–12:00pm Wednesday, 09/28/2016
Location: 3D 12 Level: Beginner
Emil Eifrem (Neo Technology), Tim Williamson (Monsanto )
Average rating: ***..
(3.89, 9 ratings)
Tim Williamson and Emil Eifrem explain how organizations can use graph databases to operationalize insights from big data, drawing on the real-life example of Monsanto’s use of graph databases to conduct real-time graph analysis of the company’s data to transform the business in ways that were previously impossible. Read more.
1:15pm–1:55pm Wednesday, 09/28/2016
Location: 3D 12 Level: Beginner
Taposh Roy (Kaiser Permanente), Rajiv Synghal (Kaiser Permanente), Sabrina Dahlgren (Kaiser Permanente)
Average rating: ****.
(4.57, 7 ratings)
While other industries have embraced the digital era, healthcare is still playing catch-up. Kaiser Permanente has been a leader in healthcare technology and first started using computing to improve healthcare results in the 1960s. Taposh Roy, Rajiv Synghal, and Sabrina Dahlgren offer an overview of Kaiser’s big data strategy and explain how other organizations can adopt similar strategies. Read more.
1:15pm–1:55pm Wednesday, 09/28/2016
Location: River Pavilion Level: Intermediate
alex bordei (Bigstep )
Average rating: ***..
(3.67, 6 ratings)
Alex Bordei walks you through the steps required to build a data lake in the cloud and connect it to on-premises environments, covering best practices in architecting cloud data lakes and key aspects such as performance, security, data lineage, and data maintenance. The technologies presented range from basic HDFS storage to real-time processing with Spark Streaming. Read more.
2:05pm–2:45pm Wednesday, 09/28/2016
Location: 1 E 10/1 E11 Level: Intermediate
Average rating: **...
(2.50, 4 ratings)
FINRA ingests over 50 billion records of stock market trading data daily into multipetabyte databases. Janaki Parameswaran and Kishore Ramachandran explain how FINRA technology integrates data feeds from disparate systems to provide analytics and visuals for regulating equities, options, and fixed-income markets. Read more.
2:05pm–2:45pm Wednesday, 09/28/2016
Location: 3D 12 Level: Intermediate
Nandu Jayakumar (Oracle)
Average rating: ***..
(3.00, 1 rating)
Visa, the world’s largest electronic payments network, is transforming the way it manages data: database appliances are giving way to Hadoop and HBase; proprietary ETL technologies are being replaced by Spark; and enterprise warehouse data models will be complemented by flexible data schemas. Nandu Jayakumar explores the adoption of big data practices at a conservative, financial enterprise. Read more.
5:25pm–6:05pm Wednesday, 09/28/2016
Location: 3D 12 Level: Intermediate
Tags: cloud
Henry Robinson (Cloudera), Justin Erickson (Cloudera)
Average rating: **...
(2.50, 2 ratings)
Henry Robinson and Justin Erickson explain how to best take advantage of the flexibility and cost-effectiveness of the cloud with your BI and SQL analytic workloads using Apache Hadoop and Apache Impala (incubating), covering the architectural considerations, best practices, tuning, and functionality available when deploying or migrating BI and SQL analytic workloads to the cloud. Read more.
11:20am–12:00pm Thursday, 09/29/2016
Location: 3D 10 Level: Intermediate
terry mcfadden (P&G), Priyank Patel (Arcadia Data)
Average rating: ****.
(4.00, 3 ratings)
Terry Mcfadden and Priyank Patel discuss Procter and Gamble's three-year journey to enable production applications with on-cluster BI technology, exploring in detail the architecture challenges and choices made by the team along this journey. Read more.
2:55pm–3:35pm Thursday, 09/29/2016
Location: 3D 12 Level: Intermediate
Rick McFarland (Hearst Corp)
Average rating: **...
(2.00, 2 ratings)
Rick McFarland explains how the Hearst Corporation utilizes big data and analytics tools like Spark and Kinesis to stream click data in real-time from its 300+ websites worldwide. This streaming process feeds an editorial tool called Buzzing@Hearst, which provides instant feedback to authors on what is trending across the Hearst network. Read more.
4:35pm–5:15pm Thursday, 09/29/2016
Location: 3D 12 Level: Non-technical
Tags: ai
David Beyer (Amplify Partners)
Average rating: ****.
(4.33, 3 ratings)
Society is standing at the gates of what promises to be a profound transformation in the nature of work, the role of data, and the future of the world's major industries. Intelligent machines will play a variety of roles in every sector of the economy. David Beyer explores a number of key industries and their idiosyncratic journeys on the way to adopting AI. Read more.