Course Description

In this course, you will learn about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. We will show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We will also teach you how to create Big Data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leverage best practices to design Big Data environments for security and cost-effectiveness.

Intended Audience
This course is intended for:

  • Solutions architects
  • SysOps administrators
  • Data scientists
  • Data analysts

Course Objectives
In this course, you will learn how to:

  • Fit AWS solutions inside a big data ecosystem
  • Leverage Apache Hadoop in the context of Amazon EMR
  • Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster
  • Use common programming frameworks available for Amazon
  • EMR, including Hive, Pig, and streaming
  • Improve the ease of use of Amazon EMR by using Hadoop User
  • Experience (Hue)
  • Use in-memory analytics with Apache Spark on Amazon EMR
  • Choose appropriate AWS data storage options
  • Identify the benefits of using Amazon Kinesis for near real-time
  • Big Data processing
  • Leverage Amazon Redshift to efficiently store and analyze data
  • Comprehend and manage costs and security for a Big Data solution
  • Identify options for ingesting, transferring, and compressing data
  • Leverage Amazon Athena for ad-hoc query analytics
  • Use AWS Glue to automate extract, transform, and load (ETL) workloads
  • Use visualization software to depict data and queries using Amazon
  • QuickSight

Prerequisites
We recommend that attendees of this course have the following prerequisites:

  • Familiarity with big data technologies, including Apache Hadoop,
  • Hadoop Distributed File System (HDFS}, and SQL/NoSQL querying
  • Big Data Technology Fundamentals digital training or equivalent experience
  • Working knowledge of core AWS services and public cloud implementation
  • AWS Technical Essentials or equivalent experience
  • Understanding of data warehousing, relational database systems, and database design

Delivery Method
This course is delivered through a mix of:

  • Classroom training
  • Hands-on labs

Hands-On Activity
This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Course Info At a Glance

Course Fee INR 45,000 +GST (18%)

Total: INR 53,100

Duration 3 days
Delivery Classroom/Virtual

Instructor-Led/Hands-on labs

Language English
Prerequisites Yes
Bring Your Own Device Laptop with Wifi and Admin Access
Course Overview Download
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Course Schedule

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March, 2019

20 - 22 March, BangaloreRegister Now