Evolution of Big Data

If we see the last few decades, we can analyze that Big Data technology has gained so much growth. There are a lot of milestones in the evolution of Big Data which are described below:

1. Data Warehousing

In the 1990s, data warehousing emerged as a solution to store and analyze large volumes of structured data.

2. Hadoop

Hadoop was introduced in 2006 by Doug Cutting and Mike Cafarella. Distributed storage medium and large data processing are provided by Hadoop, and it is an open-source framework.

3. NoSQL Databases

In 2009, NoSQL databases were introduced, which provide a flexible way to store and retrieve unstructured data.

4. Cloud Computing

Cloud Computing technology helps companies to store their important data in data centers that are remote, and it saves their infrastructure cost and maintenance costs.

5. Machine Learning

Machine Learning algorithms are those algorithms that work on large data, and analysis is done on a huge amount of data to get meaningful insights from it. This has led to the development of artificial intelligence (AI) applications.

6. Data Streaming

Data Streaming technology has emerged as a solution to process large volumes of data in real time.

7. Edge Computing

Edge Computing is a kind of distributed computing paradigm that allows data processing to be done at the edge or the corner of the network, closer to the source of the data.