Microsoft Hadoop: Taming the Big Challenge of Big Data – Part Two

Posted in: Big Data, Business Insights, Hadoop

Today’s blog post is the second in a three-part series with excerpts from our latest white paper, Microsoft Hadoop: Taming the Big Challenge of Big Data. In our first blog post, we revealed just how much data is being generated globally every minute – and that it has doubled since 2011.

Traditional database management tools were not designed to handle the elements that make big data so much more complex—namely its key differentiators: volume, variety, and velocity.Variety Volume Velocity graphic

Volume is the quantity of data, variety refers to the type of data collected (image, audio, video, etc.), and velocity is its expected growth rate. Many people assume that big data always includes high volume and intuitively understand the
challenges that it presents. In reality, however, data variety and velocity are much more likely to prevent traditional management tools from being able to efficiently capture, store, report, analyze, and archive the data, regardless of volume.

Download our full white paper which explores the technical and business advantages of effectively managing big data, regardless of quantity, scope, or speed.

 


Pythian is a global leader in data consulting and managed services. We specialize in optimizing and managing mission-critical data systems, combining the world’s leading data experts with advanced, secure service delivery. Learn more about Pythian’s Big Data expertise.

Discover more about our expertise in Hadoop.

email

Author

Want to talk with an expert? Schedule a call with our team to get the conversation started.

Interested in working with Alex? Schedule a tech call.

No comments

Leave a Reply

Your email address will not be published. Required fields are marked *