Below are the video training courses included in this Learning Path.
Architectural Considerations for Hadoop Applications
Presented by Mark Grover, Gwen Shapira, Jonathan Seidman, and Ted Malaska2 hours 31 minutes
In this video, you’ll walk through an end-to-end case study of a clickstream analytics engine to provide a concrete example of how to architect and implement a complete solution with Hadoop.
An Introduction to Time Series with Team Apache
Presented by Patrick McFadin3 hours 50 minutes
This video will show you how to use Kafka, Spark, and Cassandra to solve time series problems.
Using Spark in the Hadoop Ecosystem
Presented by Rich Morrow11 hours 8 minutes
This video will help you understand Spark, it’s associated modules, and how they fit into the Hadoop ecosystem. You’ll learn how to do data analytics using Spark, HDFS, YARN, MapReduce, and other Hadoop tools.
Mastering Apache Sqoop
Presented by David Yahalom1 hour 27 minutes
Learn how to transfer data between Hadoop and relational databases. This video covers data analysis, data archival, data consolidation, and how to import data to Hadoop from a relational database. You’ll go from absolute beginner to learning about some of Sqoop’s advanced topics in this step-by-step guide to everything you need to know about Sqoop.
Data Infrastructure for Next-Gen Finance
2 hours 45 minutes
This compilation of talks from recent Strata + Hadoop World conferences will give you insight into how data platforms are architected in a changing financial industry. Leaders in the software and financial industries, such as Cloudera, Intel, FINRA, and MasterCard, discuss tools and best practices for cloud migration, customer event hubs, data governance, and security.