Delving into Hadoop

Big Data is a term that has been getting thrown around quite a lot over the last few years, but what does it really mean for your business context, and what are you missing without it? As the Internet grows, we’re presented with more and more data, and to maximize profit potential we need to use it – the most successful companies are increasingly adopting the axiom “all the data, all the time”. But that entails ingesting terabytes and even petabytes of data from multiple sources, and then making sense of it. While traditional SQL-based database technologies work great up to a certain point, and do provide a solid platform for top-level analytics, they’re just too hard to scale for Big Data. Volume, Variety, and Velocity are the name of the game.

As a highly visible open source project, Hadoop has received a lot of interest from top IT companies, leading to an incredible array of associated open source technologies collectively referred to as the Hadoop ecosystem. Tools like Pig, Hive and Presto make interactive queries a joy with Hadoop, while Apache Streaming allows data analysts to incorporate common scripts and executables into their workflow. Tools like Sqoop make incorporating Hadoop into your organization even more convenient with data transfer between SQL and the Hadoop file system.

This is where Datamart can help, with over 10 years experience helping Global 1000 companies implement Hadoop and Big Data analytics solutions, we know data. Formed by a group of ex-Googlers, and plugged into the heart of Silicon Valley, Datamart is uniquely capable of recommending and implementing the right technology stack and operational model to make your Big Data analytics project a success.

Since its introduction nearly a decade ago, Hadoop has proven itself in a wide variety of applications, and is already a solid standby in the world of Big Data and analytics. Hadoop allows terabytes and petabytes of data to be ingested with a distributed storage and processing architecture providing a high level of reliability and fault tolerance. Hadoop’s effectiveness, along with the strength of its open-source development community anchored by the Apache Software Foundation, have allowed it to grow rapidly in versatility and popularity.

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