Big Data on AWS (AWS-BIG-DATA)

PT10061
Training Summary
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.
Prerequisites
We recommend that attendees of this course have the following prerequisites:
  • Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying
  • Students should complete the free Big Data Technology Fundamentals web-based training or have equivalent experience
  • Working knowledge of core AWS services and public cloud implementation
  • Students should complete the AWS Technical Essentials course or have equivalent experience
  • Basic understanding of data warehousing, relational database systems, and database design
Duration
3 Days/Lecture & Labs
Audience
This course is intended for:
  • Solutions architects
  • SysOps administrators
  • Data scientists
  • Data analysts
Course Topics
  • Overview of Big Data
  • Big Data Ingestion and Transfer
  • Big Data Streaming and Amazon Kinesis
  • Lab 1: Using Amazon Kinesis to Stream and Analyze Apache Server Log Data
  • Big Data Storage Solutions
  • Data Processing and Analytics
  • Lab 2: Using Amazon Athena to Query Log Data From Amazon S3
  • Apache Hadoop and Amazon EMR
  • Lab 3: Storing and Querying Data on Amazon DynamoDB
  • Using Amazon EMR
  • Hadoop Programming Frameworks
  • Lab 4: Processing Server Logs With Hive on Amazon EMR
  • Web Interfaces on Amazon EMR
  • Lab 5: Running Pig Scripts in Hue on Amazon EMR
  • Apache Spark on Amazon EMR
  • Lab 6: Processing NY Taxi data using Spark on Amazon EMR
  • Using AWS Glue to automate ETL workloads
  • Amazon Redshift and Big Data
  • Visualizing and Orchestrating Big Data
  • Lab 7: Using TIBCO Spotfire to Visualize Data
  • Managing Big Data Costs
  • Securing Your Amazon Deployments
  • Big Data Design Patterns

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