The neat thing about graph databases is that they are graphs, and there are a lot of graph algorithms that can be used to find a solution to your problem. That is why they started getting more traction lately and why I decided to look deeper into the matter.
If you need help with your data or if you need someone to give you more insight into your data, why not call our Data Engineering department?
By using data visualization, we can depict all the data we possess. Try it!
Data anonymization is the process of data manipulation in order to hide sensitive data.
At what time is it good to start learning something new? Do I start with this technology or with this use case or with this course or that one? Maybe my example will help you figure it out.
Given that Atlantic Grupa is a conglomerate that continually acquires new companies, each using a different approach (methodology) to store, analyze and report on data, the need arose to make all of these as uniformed as possible. This is where CROZ came in
Besides establishing the DWH/BI ecosystem, CROZ also helped Mercury in modernizing data architecture
As a result of enormous knowledge and desire for new challenges, example bellow shows our capacity to accomplish better performing results, maintaining the quality of data, using different technologies.
You are wondering how to manage data in real time and batch? Spark 2.0 is the solution you are looking for.
In this blog post we will present an interesting architecture that combines proven IBM technologies with Open Source big data technologies.
Apache Spark is a framework used for processing large amounts of data and it can be used to process all kinds of data.
CROZ’s consulting services include, among other areas, architecture consulting, the installation and configuration of HDP distribution on your own cluster and the possibility of piloting HDP on CROZ’s cluster
