All of it is stored in its native format and is easy to access and refine as needed. You can crawl, catalog and index all of it. Users can access data through dashboards, mobile apps and more.
It can surface valuable insights
Flexible data plays a big role in analytics. Data lakes hold a large amount of data from many different resources. While a data lake might seem like it’s a murky swamp full of data bits and pieces, it’s actually a powerful tool for analytics and forecasting because the data is easier to access and there is more of it, and when you want to gain deeper insights from your data the data lake makes creating a purpose-built data warehouse and analytics layer much easier.
It plays nicely with machine learning
Machine learning has a growing place in today’s business world, driving predictive insights. A data lake is a must-have tool when it comes to using machine learning to do predictive forecasting. Data lakes leverage a cloud platform’s machine-learning capabilities by providing easy access to all of your organization’s data so you can effortlessly create data sets to better your machine-learning models. This yields more intelligent, accurate results and decisions.
We want to be sure you understand how to most efficiently and effectively use your data. Be sure to check out our other data blogs: