Over the last couple of years, we have witnessed a surge in data lakes. This does not come as a surprise to many considering it offers a united source of all data in a company by simply replacing siloed files. Better, data lakes tend to be open thus separating storage from compute and processing. This is just what organizations need to maintain full control of data while at the same time processing it as needed.
Despite this, a number of organizations do not seem to understand what it takes to get the most from a cloud data lake. Of course, it makes sense considering this is not something you can simply learn overnight. For you to have a smooth ride, you’ll first have understand the different types of data included in data lakes. To give you a slight insight, everything from relational databases to structured data work perfectly for data lakes. All you have to do is collectively transform and analyze these data types after which you can move on to the next step.
Things should not stop there since you must also invest in technologies built for the type of platform you are relying on if you’re to leverage data processing and analytics on your data. Some might wonder why this is even important in the first place. Well, the latency and performance are not similar when compared to what you would acquire from a single server. It is only that you can leverage data lake storage for services such as processing, analytics and reporting.
Keep in mind you have the sole responsibility of protecting your company’s data if you’re to gain the trust of your customers. Actually, this point can never be overemphasized considering data lakes are designed to store all types of data be it customer details or financial records. The good news is most cloud providers guarantee security as defined by the shared responsibility model. You are thus rest-assured that everything is in good hands thus focusing on other important areas of your business.
