When to use a data lake?

With such a large amount of data, efficient storage technologies are required. The term " data lake " refers to a system for storing unprocessed data. It is a central store for vast amounts of data that are conveniently accessible.

What is the purpose of data lake?

The data processing layer of Data lake comprises of Datastore, Metadata store and the Replication to support the High availability (HA) of data. The index is applied to the data for optimizing the processing. The best practices include including a cloud-based cluster for the data processing layer. More items...

Why data lake is needed?

The Data Lake democratizes data and is a cost-effective way to store all data of an organization for later processing. Research Analyst can focus on finding meaning patterns in data and not data itself. Unlike a hierarchal Data Warehouse where data is stored in Files and Folder, Data lake has a flat architecture.

What the Hell is a data lake?

A data lake is an unstructured repository of unprocessed data, stored without organization or hierarchy. They allow for the general storage of all types of data, from all sources. Data lakes typically store a massive amount of raw data in its native formats.