What Will I Learn from the course "Taming Big Data with Apache Spark and Python - Hands On!"?
- Frame big data analysis problems as Spark problems
- Use Amazon's Elastic MapReduce service to run your job on a cluster with Hadoop YARN
- Install and run Apache Spark on a desktop computer or on a cluster
- Use Spark's Resilient Distributed Datasets to process and analyze large data sets across many CPU's
- Implement iterative algorithms such as breadth-first-search using Spark
- Use the MLLib machine learning library to answer common data mining questions
- Understand how Spark SQL lets you work with structured data
- Understand how Spark Streaming lets your process continuous streams of data in real time
- Tune and troubleshoot large jobs running on a cluster
- Share information between nodes on a Spark cluster using broadcast variables and accumulators
- Understand how the GraphX library helps with network analysis problems
Includes:
- 5 hours on-demand video
- 2 Supplemental Resources
- Full lifetime access
- Access on mobile and TV
- Assignments
- Certificate of Completion
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