Highlights
In the lecture you have been introduced to the high-level concepts of the whys and whats of a Data Lake. The goal of this assignment is to take a deep dive into the architecture of Data Lake and provide a Design Patterns for the problem of dealing with organizing a collection of datasets that holds a vast amount of data gathered from various private/open data islands. Your design should include the specification of the following components in some details:
Data Ingestion Component:
a. You need to research and identify the different types of data (from structured to unstructured) and data ingest (e.g., batch, micro-batch, real-time); and briefly explain them. b. Identify the existing Big Data Technologies and Tools for ingesting big data, e.g., Hortonworks DataFlow1 .
Data Organization Component:
a. You need to research and compare various techniques for organizing data, e.g., Directory Structure, Version Control and Database Management Systems. b. Identify the existing Database Management Systems for each category, e.g., MySQL in Relational DBs and MongoDB in NoSQL document-oriented DBs.
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