Defining Data Lake

Defining Data Lake

Big Data

Defining-Data-Lake1-300x189 Defining Data LakeWith Data Lake buzzing the IT industry around the world, many of them are still not aware of what it actually is. To start by, Data Lake consists of a humongous amount of raw, unstructured data present in its native format. So we need a device that will support a flat file system to move the data to other servers for processing. The best example is the Hadoop File System (HDFS), which is designed for fast processing of large data sets in big data.

It provides a support for native-format data which brings key benefits to organizations. In case you want to get huge amounts of data now and figure out what to do with it later, that is where Data Lake comes in; explains Michael Hiskey, head of Strategy at Semarchy. We always have things that are known and unknown to people, everything which is interesting now might not be the same later. We cannot guess what’s valuable from the things thrown away now, that can be interesting in the future, and that’s where Data Lake is useful.

Jake Stein, CEO of Stitch, an ETL service company which connects multiple cloud data sources, says that when we are not sure when the data will be useful to us and want to store it in a low-cost form, the data lake is the answer. It’s very important to know that if you don’t capture the data at present, you can never get it back again, so future proofing yourself is very important. This is done throw Data Lake.