A quick question: What do you do – as a company — with colossal amounts of information? Do companies need to manage all sorts of incoming data? If Yes, what do you need it for?

You might be easily led to believe that you have nothing to do with data.

However, you do.
The gigantic amount of data – from across various points – is to be collected, harnessed, analyzed, made sense of to let management make better decisions. Apply that to almost every possible industry out there and you’ll see how it begins to make sense. Be it aviation, healthcare, retail, hospitality, Information Technology, and more.

According to Jeff Bertolucci of Information Week, companies see potential insights derived from the analysis of what they call “big data”.

Companies across verticals see big data as a collection of data that makes sense and provides for insights for companies to make better decisions, to innovate, to check, and to solve problems.

So, you can manage healthcare better. Understand how your customers shop, and even how you use an app.

New data sources, data categories, and data types (text, numbers, video, audio, and more) along with a humongous quantity of data that only grows in size calls for new solutions.

Data Management
To collect, manage, analyze, and handle massive amounts of data, enterprises use technology solutions such as Hadoop or MapReduce. This mission-critical data management cannot be handled by anything less.

Big data enables you to know how your customers behave, react, and even interact with you. It helps you deliver products and services better, and it also leads you to come up with new strategies to boost profitability, retention, loyalty, etc.

Hadoop is the answer to the challenges big data brings to enterprises such as information growth, data issues, the processing power needed, physical storage, and costs of managing data.

 

Hadoop came about because of how expensive it was to manage Big Data with MapReduce, which called for a significant amount of manpower (developers) and technology resources needed to manage data with MapReduce.

Like WordPress
Hadoop is like the WordPress of Data Management –it’s well-built, standards-based, and it’s an open-source framework with a huge community working to keep it running. It was built on Google’s MapReduce and Google’s file System papers to leverage the massive power of big data on relatively inexpensive servers and much reduced Manpower.

While considering Hadoop, don’t let the fact that it’s open source fool you though.

 

Hadoop is built for enterprises but choosing it depends on multiple factors such as enterprise application compatibility, heterogeneous architecture (such as distributed file systems and data independence).

Hadoop does provide support for service level agreements, latency requirements, and of course, it’s economically validated.

Are you thinking high-performance, high-scalability, worldwide support, and high-utilization? Hadoop is your answer.

What do you think?