Understanding Tool Integration for Big Data Architecture
Understanding Tool Integration for Big Data Architecture
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 17 Hours | 16.8 GB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 17 Hours | 16.8 GB
Genre: eLearning | Language: English
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.
Understanding Tool Integration for Big Data Architecture
