Big Data on AWS Training

Big Data on AWS Training (AWS-BIG-DATA)


Big Data on AWS Training Course Powered by ENO

Big Data on AWS Training course introduces you to cloud-based big data solutions and Amazon Elastic MapReduce (EMR), the AWS big data platform. In this Big Data on AWS Training course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Pig and Hive. We also teach you how to create big data environments, work with Amazon DynamoDB and Amazon Redshift, understand the benefits of Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

Customize It:

With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.

Audience/Target Group

Individuals responsible for designing and implementing big data solutions, namely Solutions Architects and SysOps Administrators
Data Scientists and Data Analysts interested in learning about big data solutions on AWS

Big Data on AWS (AWS-BIG-DATA)Related Courses:

Duration: 3 days

Class Prerequisites:

Basic familiarity with big data technologies, including Apache Hadoop and HDFS
Working knowledge of core AWS services and public cloud implementation
Basic understanding of data warehousing, relational database systems, and database design

What You Will Learn:

Understand Apache Hadoop in the context of Amazon EMR
Understand the architecture of an Amazon EMR cluster
Launch an Amazon EMR cluster using an appropriate Amazon Machine Image and Amazon EC2 instance types
Choose appropriate AWS data storage options for use with Amazon EMR
Know your options for ingesting, transferring, and compressing data for use with Amazon EMR
Use common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
Work with Amazon Redshift to implement a big data solution
Leverage big data visualization software
Choose appropriate security options for Amazon EMR and your data
Perform in-memory data analysis with Spark and Shark on Amazon EMR
Choose appropriate options to manage your Amazon EMR environment cost-effectively
Understand the benefits of using Amazon Kinesis for big data

Course Content:

Day 1

Overview of Big Data, Apache Hadoop, and the Benefits of Amazon EMR
Amazon EMR Architecture
Using Amazon EMR
Launching and Using an Amazon EMR Cluster
Hadoop Programming Frameworks

Day 2

Using Hive for Advertising Analytics
Using Streaming for Life Sciences Analytics
Overview: Spark and Shark for In-Memory Analytics
Using Spark and Shark for In-Memory Analytics
Managing Amazon EMR Costs
Overview of Amazon EMR Security
Data Ingestion, Transfer, and Compression
Using Amazon Kinesis for Real-Time Big Data Processing

Day 3

Using Amazon Kinesis for Real-Time Big Data Processing
AWS Data Storage Options
Using DynamoDB with Amazon EMR
Overview: Amazon Redshift and Big Data
Using Amazon Redshift for Big Data
Visualizing and Orchestrating Big Data
Using Tableau Desktop or Jaspersoft BI to Visualize Big Data

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    Time Frame: 0-3 Months4-12 Months

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