1 - Day 1
Overview of Big DataIngestionBig Data streaming and Amazon KinesisUsing Kinesis to stream and analyze Apache server logsStorage SolutionsQuerying Big Data using Amazon AthenaUsing Amazon Athena to analyze log dataIntroduction to Apache Hadoop and A
2 - Day 2
Using Amazon Elastic MapReduceStoring and Querying Data on DynamoDBHadoop Programming FrameworksProcessing Server Logs with Hive on Amazon EMRStreamlining Your Amazon EMR Experience with HueRunning Pig Scripts in Hue on Amazon EMRSpark on Amazon EMR
3 - Day 3
Using AWS Glue to automate ETL workloadsAmazon Redshift and Big DataVisualizing and Orchestrating Big DataVisualizingManaging Amazon EMR CostsSecuring Big Data solutionsBig Data Design Patterns
Actual course outline may vary depending on offering center. Contact your sales representative for more information.
Who is it For?
This course is intended for:
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.
We recommend that attendees of this course have the following prerequisites:
Basic familiarity with big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying.
Students should complete the 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 Essentials course or have equivalent experience.
Basic understanding of data warehousing, relational database systems, and database design