Is Parallel Processing for the Masses synonymous with 'Big data'? We think it is.

July 24, 2015 Kelly Hopkins Schupp


Outside of the data warehouse profession, the phrase “Big Data” is still widely misunderstood. In this article published by Datanami, Craig Lukasik, Senior Solution Architect at Zaloni, explores the origins of the term "Big Data", reviews Hadoop, Parallel Processing, HDFS, MapReduce, Cluster Management, Cloud, and Spark, and looks at what led to the rise of big data and why instead of being called “Big Data” it should perhaps be called “Parallel Processing for the Masses.” We invite you to read Craig’s full article here: Big Data, Big Misnomer or Click on the image

Related posts: The Holy Grail: Federated Queries using Spark

Want to know more?  Lets Talk.

About the Author

Kelly  Hopkins Schupp

Kelly Schupp is Vice President of Marketing for Zaloni. Kelly has 20 years of experience in the enterprise software and technology industry. She has held a variety of global marketing leadership roles, and previously worked at IBM, Micromuse and Porter Novelli. Kelly serves as Zaloni’s brand steward and is deeply passionate about the impact of data-driven marketing.

More Content by Kelly Hopkins Schupp
Previous Article
Ben Sharma talks about Business Impact of Hadoop on The  O’Reilly Podcast.
Ben Sharma talks about Business Impact of Hadoop on The O’Reilly Podcast.

Ben Sharma talks about the Business impact of Hadoop with Ben Lorica in this episode of The O'Reilly Podc...

Next Article
Why Schema and Metadata Matter in Hadoop Data Management

Schema and metadata management in Hadoop is different from management in a traditional data warehouse. Can ...


Get the latest tips and how-to's delivered straight to your inbox!

First Name
Last Name
Zaloni Blog Email Subscription
Thank you!
Error - something went wrong!