Data Lake for Enterprises

Table of Contents

1. Introduction to Data
2. Comprehensive Data Lake concepts
3. Lambda Architecture as a Pattern for Data Lake
4. Applied Lambda for Data Lake
5. Data Acquisition of Batch Date with Apache Sqoop
6. Data Acquisition of Stream Data with Apache Flume
7. Messaging Layer with Apache Kafka
8. Data Processing with Apache Flink
9. Data Storage using Apache Hadoop
10. Indexed Data Store
11. Data Lake components working together
12. Use case suggestions