DataOps – how to stop saying “Oops, I did it again” to your data
DataOps’s main focus is on monitoring and optimization of the so-called data factory.
DataOps’s main focus is on monitoring and optimization of the so-called data factory.
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.
In this blog post we will present an interesting architecture that combines proven IBM technologies with Open Source big data technologies.
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.
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.
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
The cBot platform is modular and has excellent NLP capabilities as the foundation, that we have “trained” in the Croatian language for years.
If answering „same or similar“ questions or performing „same or similar“ scenarios is a part of your everyday business routine, you’ll definitely want to meet our new cBot!