A Beginner's Guide to Architecting Big Data Applications
A Beginner's Guide to Architecting Big Data Applications
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 23.5 Hours | 20.5 GB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 23.5 Hours | 20.5 GB
Genre: eLearning | Language: English
This learning path is a complete beginner’s guide to architecting big data applications. Whether you’re a data engineer who needs to plan and implement a big data pipeline or a manager interested in learning how major tools in the Hadoop technology stack address business goals, this series of videos will walk you through how to get started planning your big data solution. You’ll receive a thorough introduction to the concepts and benefits of Apache Hadoop, and a deeper, beginners-level training on key components, including Apache HBase, YARN, Cassandra, Kafka, and Spark.
By the end of this learning path, you’ll be able to:
Decide when and how to use each tool in the Hadoop stack
Set-up and deploy an HBase cluster
Create a database and application, and model data using Apache Cassandra
Set-up and run a Kafka cluster, integrating it with Hadoop
Develop Spark apps for typical use cases, and apply algorithms using MLlib, GraphX, and Spark SQL
Set-up and deploy a compute framework on top of Alluxio to bridge computation frameworks and storage systems
A Beginner's Guide to Architecting Big Data Applications
