(Big Data on Amazon Web Services (AWS

מק"ט: #3553 | משך קורס: 24 שעות אק'
| מספר מפגשים: 3

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.

*שדות חובה
PDF version


  • 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

קהל יעד

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

תנאי קדם

We recommend that attendees of this course have:

  • 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


  • Overview of Big Data
  • Big Data Ingestion and Transfer
  • Big Data Streaming and Amazon Kinesis
  • Lab: Using Amazon Kinesis to Stream and Analyze Apache Server Logs
  • Big Data Storage Solutions
  • Big Data Processing and Analytics
  • Lab: Using Amazon Athena to Analyze Log Data
  • Apache Hadoop and Amazon EMR
  • Using Amazon EMR
  • Lab: Storing and Querying Data on Amazon DynamoDB
  • Hadoop Programming Frameworks
  • Lab: Processing Server Logs with Hive on Amazon EMR
  • Web Interfaces on Amazon EMR
  • Lab: Running Pig Scripts in Hue on Amazon EMR
  • Apache Spark on Amazon EMR
  • Lab: Processing New York Taxi Dataset Using Spark on Amazon EMR
  • Using AWS Glue to Automate ETL Workloads
  • Amazon Redshift and Big Data
  • Securing Your Amazon Deployments
  • Managing Big Data Costs
  • Visualizing and Orchestrating Big Data
  • Big Data Design Patterns
לפי יצרן: