Relational vs Non-Relational data bases – Part 3

In the first and second part of this blog series, we saw some basic differences between scalability of Relational and Non-Relational Databases. In this post, I will show you how to use these databases correctly, and also tell you about some well known companies that use these databases. Relational Database In the first part of this blog series, I talked about ACID properties. These properties are important to maintain a…

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Is Spark better than Hadoop Map Reduce?

For anyone who gets into the Big Data world, the terms Big Data and Hadoop become synonyms. As they learn the ecosystem along with the tools and their workings, people become more aware about what big data actually means, and what role Hadoop has in the big data ecosystem. According to Wikipedia, “Big data is a broad term for data sets so large or complex that traditional data processing applications…

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Relational vs Non-Relational Databases – Part 2

In my previous post on Relational and Non-relational databases, we have seen some fundamental differences between these database tools. In this post, let’s check their Scalability. Scalability It is an ability of a system that can easily accommodate the rapid incoming data without performance issues. This is the main factor for any system to provide good scalability. There are two types of scaling methods — Vertical and Horizontal scaling. Vertical…

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Relational Vs Non-Relational databases – Part 1

In this post, we have seen some of the Big data technologies that are used to store and analyse data. For the past few years NoSQL or Non-relational database tools have gained much popular in terms of storing huge amount of data and scaling them easily. There are debates on whether non-relational databases will replace relational databases in future. With the increasing number of social data and other unstructured data,…

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Top big data technologies used to store and analyse data

BIG DATA is a term used for a collection of data sets so large and complex that it is difficult to process using traditional applications/tools. It is the data exceeding Terabytes in size. Because of the variety of data that it encompasses, big data always brings a number of challenges relating to its volume and complexity. A recent survey says that 80% of the data created in the world are…

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