Learning path : understanding tool integration for big data architecture.
Understanding tool integration for big data architecture
- [2016]
- 1 online resource (1 streaming video file (21 hr., 44 min., 26 sec.)) : digital, sound, color
Title and publication information from resource description page (Safari, viewed January 10, 2017).
Architectural considerations for Hadoop applications / Mark Grover [and three others] -- Using Spark in the Hadoop ecosystem / Rich Morrow -- Mastering Apache Sqoop / David Yahalom -- Big data governance / Steven Totman [and three others] -- Preventing a big data security breach / Sam Heywood, Nick Curcuru, Ritu Kama -- Hive + Amazon EMR + S3 = Elastic big data SQL analytics processing in the cloud , a real world case study / Jaipaul Agonus.
Presenters, Mark Grover, Rich Morrow, David Yahalom, Steven Totman, Sam Heywood, Nick Curcuru, Ritu Kama, Jaipaul Agonus.
"Implementing solutions with Apache Hadoop requires understanding not just Hadoop, but a broad range of related projects within the Hadoop ecosystem. In this Learning Path, you'll discover how to integrate Hadoop components to implement big data solutions through a variety of end-to-end use case studies addressing clickstream analytics, time series problems, and data transfer between Hadoop and relational databases. You'll master techniques for integrating Spark with other key components of the Hadoop ecosystem, including HDFS, YARN, and MapReduce, and gain direct experience integrating Spark and Hadoop through a series of sixteen hands-on labs. In closing, you'll get a glimpse into the latest trends in data infrastructure, in a changing financial industry, through a series of talks from Strata+Hadoop world on next-gen finance."--Resource description page.