Exam Readiness: AWS Certified Big Data - Specialty

This course is intended for:

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

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

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