In the era of big data, where assumptions are being challenged in all areas related to analytic processing, it is no surprise that new concepts should emerge to challenge the central role of the data warehouse in BI. The most recent is the data lake, which is viewed as a centralized repository of unstructured data held for processing by Hadoop and meeting the diverse needs of big data analysis. The data lake, like so many concepts in our industry, is currently undergoing subtle change as new technologies evolve to extend, fortify, and capitalize on the need that it is designed to fill.
Advisor
About The Author
Brian J. Dooley is an author, analyst, and journalist with more than 30 years' experience in analyzing and writing about IT trends. Mr. Dooley has written seven books, numerous user manuals, hundreds of reports, and more than 2,000 magazine features. He is the founder and past President of the New Zealand Chapter of the Society for Technical Communication and initiated the Graduate Certificate in Technical Communication program at Christchurch… Read More
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