We already discussed the Spark Ecosystem. In this blog we’ll delve a bit deeper into the main reasons why you would use Spark. In short, for its distributed processing engine through Spark Clusters and it’s Query Optimization engine. Spark Clustering … Read More
It astonishes me sometimes what people think AI is. It’s like a miracle box: you give your data to a vendor and by some magic suddenly a model comes out that predicts whatever you want to predict or detects any … Read More
Once you have stored data you need to process it. Enters the distributed processing system called Apache Spark. Spark reads and processes data on a cluster of machines and, once processed, writes it back to either a distributed file system, … Read More
We love open-source and we believe strongly in the advantages of using open source technologies. In most cases there’s a strong community behind it and the quality of the product or software is generally very high. An example of such … Read More
The first requirement for any data lake is to ensure it can store the raw data that we want to use for data analytics. And in any format, whether it’s structured or unstructured data. We potentially want to store flat … Read More
The last decade one of the main buzzwords is Big Data. As usual, a lot of vendors smelled the cookie and suddenly all their products supported in some way ‘Big Data’. This overwhelmed the world with a vast amount of … Read More