Читать книгу Data Lakes For Dummies - Alan R. Simon - Страница 32

In addition to data lakes, you may come across references to data ponds, data puddles, data rivers, data oceans, and data hot tubs. (Just kidding about the last one.) What’s going on here?

Your job when planning, architecting, building, and using a data lake is complicated by the fact that you don’t have an official definition published by some sort of standards body, such as the American National Standards Institute (ANSI) or the International Organization for Standardization (ISO). That means that you or anyone else can define, use, and even publish your own terminology. You can call a smaller portion of a data lake a “data pond” if you want, or refer to a collection of data lakes as a “data ocean.”

Don’t panic! Of all the “data plus a body of water” terms you’ll run across, data lake is by far the most commonly used. All the characteristics of a data lake — solid architecture, support for multiple forms of data, a support ecosystem surrounding the data — apply to what you can call a data pond or any other term.

If William Shakespeare were still around and plied his trade as an enterprise data architect rather than as a writer, he would put it this way: “A data lake by any other name would still be worth the time and effort to build.”