HARTMANN software group

BIG DATA ON AWS Training in Santa Rosa

Enroll in or hire us to teach our BIG DATA ON AWS class in Santa Rosa, California by calling us @303.377.6176. Like all HSG classes, BIG DATA ON AWS may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, BIG DATA ON AWS may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.
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Course Description

  
In this 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. Individuals responsible for designing and implementing big data solutions, such as solutions architects and system operator administrators Data scientists and data analysts interested in learning about big data solutions on AWS Familiarity with big data technologies, including Apache Hadoop and HDFS Knowledge of big data technologies such as Pig, Hive, and MapReduce is helpful but not required Working knowledge of core AWS services and public cloud implementation
Course Length: 3 Days
Course Tuition: $1670 (US)

Prerequisites
Students should complete the AWS Essentials course or have equivalent experience Basic understanding of data warehousing, relational database systems, and database design

Course Outline

  
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

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