Below is a list of many concepts, books and techniques that helped us learn when developing S1search, the database engine that powers SlicingDice.
There are many technical and business challenges when building and managing a data warehouse. Below we address in a more conceptual way some of the challenges we usually see inside corporations (of all sizes).
Is “serverless” just a temporary trend or companies are really adopting it?
On this post we will discuss the reasons for adopting our “different” pricing model and also try to make a fair cost comparison between SlicingDice and other well-known amazing analytics data warehouse solutions, such as Amazon…
Almost 2 years after the initial S1Search development and 6 months since we started SlicingDice in private-beta, we now have more than 150 billion data points stored and are finally ready to go publicly live.
SlicingDice Roadmap — Q2–2017
This is the final part of the SlicingDice Uncovered series. The first post was about the SlicingDice infrastructure, the second on how S1Search works, and that one ended up originating an unexpected third post with…
This is the second post of the SlicingDice Uncovered series, where we intent to give a great and in-depth overview about everything that powers SlicingDice. The first post described our infrastructure details, so in this post we will dig deeper in our…
This is the first post of the SlicingDice Uncovered series, where we intent to give a great and in-depth overview on everything that powers SlicingDice: explaining our infrastructure details (that will be covered on this post), our in-house…