Curriculum
- 1 Section
- 22 Lessons
- 40 Hours
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- This course covers the following concepts:22
- 2.1Overview of Big Data
- 2.2Big Data Ingestion and Transfer
- 2.3Big Data Streaming and Amazon Kinesis
- 2.4Lab 1: Using Amazon Kinesis to Stream and Analyze Apache Server Log Data
- 2.5Big Data Storage Solutions
- 2.6Big Data Processing and Analytics
- 2.7Lab 2: Using Amazon Athena to Query Log Data From Amazon S3
- 2.8Apache Hadoop and Amazon EMR
- 2.9Lab 3: Storing and Querying Data on Amazon DynamoDB
- 2.10Using Amazon EMR
- 2.11Hadoop Programming Frameworks
- 2.12Lab 4: Processing Server Logs With Hive on Amazon EMR
- 2.13Web Interfaces on Amazon EMR
- 2.14Lab 5: Running Pig Scripts in Hue on Amazon EMR
- 2.15Apache Spark on Amazon EMR
- 2.16Lab 6: Processing NY Taxi data using Spark on Amazon EMR
- 2.17Amazon Redshift and Big Data
- 2.18Visualizing and Orchestrating Big Data
- 2.19Lab 7: Using TIBCO Spotfire to Visualize Data
- 2.20Managing Big Data Costs
- 2.21Securing Your Amazon Deployments
- 2.22Big Data Design Patterns
