Book

Data Lake for Enterprises

The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.

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Difficulty Level
Intermediate
Completion Time
19h52m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 19h52m total length

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

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