Data Warehousing In The Age Of Big Data -

In the early 2000s, the was a pristine library. It was a place of order, where structured data sat on mahogany shelves in neat rows. To get inside, you had to speak the language of SQL, and every piece of information was meticulously vetted by the "Librarians" (DBAs) before it was allowed through the door. Then came the Great Flood of 2010 .

Today, we live in the age of the . It’s the hybrid evolution of both worlds. It has the vast, low-cost storage of the lake, but it’s equipped with the high-speed processing and governance of the old warehouse. Data Warehousing in the Age of Big Data

The old library walls began to crack. It was too slow, too rigid, and—most importantly—far too expensive to store the ocean. The Rise of the Data Lake In the early 2000s, the was a pristine library

Data warehousing didn't die in the age of Big Data—it just learned how to swim. Then came the Great Flood of 2010