Is Your Hadoop Project on Track?

When it comes to your company's data management practices, it's important to keep big data initiatives on track. This is exactly where open source software such as Hadoop comes into play.

With efficient data processing in mind, here are just a few ways your company can get the most out of Hadoop on its next project:

Start with Answering Basic Questions

Many companies solely use Hadoop for processing data across multiple servers.

This, however, is close to impossible if you don't know what questions you're trying to answer from one project to the next.

Before you begin your next Hadoop project, you need to go through the Q and A process.

What are you trying to accomplish with your next Hadoop project? Which audiences are you ultimately targeting? How will you reach those target audiences?

All of these questions boil down to data.

By answering these questions ahead of time, you'll have an easier time keeping your Hadoop project on track.

Don't Take on Too Much at Once

Hadoop is designed to work with large data sets while still offering flexibility and scalability.

However, that doesn't mean your company should take on a ton of data with every Hadoop project, especially if you're new to the process.

Whether you want to use the Hadoop platform to increase your revenues with each project, keep costs down, or advance your project research, choose one goal and stick with it.

You can definitely take on all of these objectives at once, but it might throw your project off track, at least initially.

Take a Close Look at Your Hardware

Hadoop is only as good as its foundation and if you're going to take on multiple Hadoop projects, you need to first take a close look at your hardware.

As the following article looks at, along with the 5 tips for making the most out of your Hadoop project is making sure your company hardware is able to keep up with the processing power of the Hadoop platform.

If your company uses tired machines or has less-than-stable network connections, then you'll definitely struggle with your Hadoop projects. Even the smoothest running Hadoop data clusters put a ton of pressure on your network and servers.

Before you begin your next Hadoop project, first make sure your hardware is upgraded, your software is updated, and your network is up to the task.

Doing so will ensure your Hadoop projects run smoothly, quickly, and efficiently.

Plan for Expansions

Once you get your Hadoop projects running smoothly, the next step you'll naturally want to take is expansion.

Capacity planning isn't an automated process with Hadoop, which means your company will need to come up with a plan of attack when expanding Hadoop projects.

Before you increase your project load, make sure there's plenty of time for setting up and pre-testing your new servers and your new Hadoop software.

Chances are you'll also need to make some pretty accurate predictions with your expansion rates in order to set proper data thresholds.

By planning your Hadoop expansion ahead of time, you won't be bothered by issues during your projects.

If your company is taking on a Hadoop project, then remember the pointers above and make the most out of your Hadoop experience.

About the author

Adam Groff is a freelance writer and creator of content. He writes on a variety of topics including personal health and social media.

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