Brian Dirking has been in the technology industry for over 20 years, in roles including product management, product marketing, business development and partner marketing. He regularly speaks at conferences and public events, and writes blog posts and whitepapers on analytics. He has previously worked at Stellent, Oracle, Box, and Alteryx.
November 18, 2020 04:00 PM PT
Digital Turbine is an internet based company that provides services to app developers, enabling them to build and distribute their apps across multiple platforms. Digital Turbine have petabytes of data that they need to analyze, but found that their requirements were starting to outgrow their existing architecture, which resulted in higher costs and the inability to deliver on service level agreements.
By implementing Databricks and Delta Lake:
-Data is available to the business team in minutes.
-Legacy and new data can be joined in Delta Lake and continuously optimized, delivering 180 million events per day Digital Turbine were able to realize these results in 1 month with help from the team at Databricks
Speakers: Daniel Ferrante and Brian Dirking
November 17, 2020 04:00 PM PT
The modern data customer wants data now. Batch workloads are not going anywhere, but at Scribd the future of our data platform requires more and more streaming data sets. As such our new data platform built around AWS, Delta Lake, and Databricks must simultaneously support hundreds of batch workloads, in addition to dozens of new data streams, stream processing, and stream/ad-hoc workloads.
In this session we will share the progress of our transition into a streaming cloud-based data platform, and how some key technology decisions like adopting Delta Lake have unlocked previously unknown capabilities our internal customers enjoy. In the process, we’ll share some of the pitfalls and caveats from what we have learned along the way, which will help your organization adopt more data streams in the future.
Speakers: R Tyler Croy and Brian Dirking