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
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About the Author
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