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Big Data on AWS

  • 24/7 Support
  • 4 Months
  • 75 Sessions

Course Description

Big Data on AWS (Amazon Web Services) introduces you to cloud-based big data solutions and Amazon Elastic MapReduce (EMR), the AWS big data platform. In this 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, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

OBJECTIVES

 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

One to One personalized training Schedule for Big Data on AWS

EkasCloud provides flexible training to all it's student. Here is our training schedule. Incase you find these timings difficult, please let us know. We will try to arrange appropriate timings based on your Convenience.

14-06-2024 Friday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
16-06-2024 Sunday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
18-06-2024 Tuesday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
19-06-2024 Wednesday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session

Course Detail

Big Data on AWS (Amazon Web Services) introduces you to cloud-based big data solutions and Amazon Elastic MapReduce (EMR), the AWS big data platform. In this 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, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

OBJECTIVES

 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

WHO CAN JOIN

 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

PREREQUISITES

 Basic 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

 Students should complete the AWS Essentials course or have equivalent experience

 Basic understanding of data warehousing, relational database systems, and database design

 We check your knowledge before we start the session.

 We build foundational topics first and core topics next.

 Theory classes with real time case study.

 Demo on every topic.

 You will learn how to design architecture diagrams on each service.

 Mock exam on every topic you learn.

 Exam Preparation

 Interview Preparation

Big Data on AWS Syllabus


2 Months Course 20% Theory 80% Lab Daily Homework 10 Real-time Projects Unlimited Mock Exams Unlimited Mock Interview

Topics Covered

 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

 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

 Using Amazon Kinesis and Amazon EMR to Stream and Process Big Data

 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

Instructor

Huzefa Mohammed

Huzefa has a Bachelor’s degree in Engineering.He is based out of South India and has trained more than 9000 students in the last fifteen years on various technologies starting from Networking to Cloud and is deeply passionate about their success.

Huzefa is a AWS SA PRO /AWS Security / Azure Expert & CCSP certified

Frequently asked question

Q:  What if I miss a class?
A:  We will stop the course for you, because it is one-to-one or one-to-two students only.

Q: Will I get placement assistance?
A: Yes.  you will get it, once you Certified form the AWS.

Q: What if I have queries after I complete this course?
A: You can check our blog, or send your queries from social media like Facebook, Linkedin, Instagram, Twitter, and Youtube.

Q: How soon after signing up will I get access to the course?
A: Once you join the course, our Counselor Manger book a slot with a our Trainer based on your and Trainer availableTime.

Q: Is the course material accessible to the students even after the course training is over?
A: Yes, you can access our course material. Not only material you can watch short and sweet videos from our Youtube Channel.

Q: What is the average salary of an AWS certified professional?
A: $129,868

Q: How will this course help me pass the AWS certification exam?
A: We provide a separate Training for Exam and Interviews. In this Training will get more experience to get pass Your AWS Exam.


Big Data on AWS Fees