In this Amazon Web Services Training Course, you will learn about cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the AWS big data platform. You will learn how to use Amazon EMR to process data using the broad ecosystem of Apache Hadoop tools like Hive and Hue. Additionally, you will learn how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.
1. Overview of Big Data
2. Data Ingestion, Transfer, and Compression
3. AWS Data Storage Options
4. Using DynamoDB with Amazon EMR
5. Using Kinesis for Near Real-Time Big Data Processing
6. Introduction to Apache Hadoop and Amazon EMR
7. Using Amazon Elastic MapReduce
8. The Hadoop Ecosystem
9. Using Hive for Advertising Analytics
10. Using Streaming for Life Sciences Analytics
11. Using Hue with Amazon EMR
12. Running Pig Scripts with Hue on Amazon EMR
13. Spark on Amazon EMR
14. Running Spark and Spark SQL Interactively on Amazon EMR
15. Using Spark and Spark SQL for In-Memory Analytics
16. Managing Amazon EMR Costs
17. Securing your Amazon EMR Deployments
18. Data Warehouses and Columnar Datastores
19. Introduction to Amazon Redshift
20. Optimizing Your Amazon Redshift Environment
21. The Big Data Ecosystem on AWS
22. Visualizing and Orchestrating Big Data
23. Using Tibco Spotfire to Visualize Big Data
| Course Name | Date | Time | |
|---|---|---|---|
| Nothing Scheduled yet |
info@gsatrain.com
(443) 663-4001 
2923 Lord Baltimore Drive
443-663-4001 
443-663-4004
info@gsatrain.com