Data lake Trends
At the most basic level, a data lake is a large repository where all of a company’s data can be stored and accessed. Essentially, think of it like a really big lake where all the data can swim together. But just like any big body of water, a lot of things can float in and out, hence the various complementary trends that you see like Databricks and Synapse. What these trends do is help organize and optimize the data in the lake, so the company can use it effectively. Think of it as bringing in some skilled fishermen with a fancy rod and reel to catch the best fish. Of course, there are also trends like data storage and azure data explorer that specifically deal with housing the data in the lake. Then there are trends like data wrangling and data mesh that help ensure the data is consistent and standardized. It’s all about taking that big mess of data and turning it into something that can be analyzed and put to good use.