Understanding Tool Integration for Big Data Architecture

Understanding Tool Integration for Big Data Architecture

Video Training

In this Learning Path, you’ll learn how to integrate Hadoop components to implement big data solutions for a variety of use cases, including clickstream analytics, time series problems, transferring data between Hadoop and relational databases, and applications in the finance sector.

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 Malaska 2 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 McFadin 3 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 Morrow 11 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 Yahalom 1 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.