Edge Persistence Explained

Have you heard the term “edge persistence” floating around the webiverse? If so what does it mean to you? If your answer is “not sure” then this blog is for you! If you think you have an idea, let me know where you think I got it right and where I might have been off. Edge computing is the first aspect of this concept. Edge computing is the salt to cloud’s pepper. Blending edge computing with the cloud creates flexibility you would not be able to achieve with one or the other, with the added benefits of improved performance and reduced latency. So what do I mean when I say salt and pepper? They go great on dishes separately, but when combined can add the perfect finish to your cooking. Edge computing brings your computation and data storage closer to the location where you need it. It improves performance and reduces latency when running your application or technology. Now for the word persistence, I used a good old-fashioned dictionary. To be persistent is “existing for a long or longer than usual time or continuously.”

So edge persistence allows companies to globally distribute their applications, software, and technologies closer to the end-user location where it improves performance and reduce latency. When I say latency, what does that mean? Latency “is an expression of how much time it takes for a data packet to travel from one designated point to another”. It does so continuously for long periods of time.” I could end this blog here, but that wouldn’t be a very informative blog, so let’s go deeper.

Geo-Distributed Data Lakes Explained

Geo-Distributed Data Lake is quite the mouthful. It’s a pretty interesting topic and I think you will agree after finishing this breakdown. There is a lot to say about how awesome it is to combine the flexibility of a data lake with the power of a distributed architecture, but I’ll get more into the benefits of both as a joint solution later. To start, I want to look at geo-distributed data lakes in two parts before we marry them together, for my non-developer brain that made the most sense! No time to waste, let’s kick things off with the one and only… data lakes.

It’s a Data LAKE, Not Warehouse!

It shouldn’t be a shock to the system to point out that we are living in a data-driven world going into 2021. Because of this, 'data lakes' are a fitting term for the amount of data companies are collecting. In my opinion, we could probably start calling them data oceans, expansive and seemingly never-ending. So what is a data lake exactly?