Tag: DATA ENGINEERING
Making data ingestion easier with DBImport
DBImport is an open-source ingestion tool that uses Sqoop or Spark to ingest data from the relational databases into Hive database in the Hadoop cluster.
SQL Server – Building Dynamic Partition in One Click
When using partitioning your performance of querying large tables is better, queries can access partitions in parallel, faster data deletion, and data load, better manageability and many others
Summer Internship at CROZ: Spending the Summer in Zagreb was Worth It
If you want to feel accepted, understood and stimulated for new challenges, apply for Summer Accelerator – a student internship program at CROZ.
Delta Lake – extract the real value from Data Lake
Delta Lake provides great features and solves some of the biggest issues that come with a data lake. On top of all, it is easy to use! Keep reading this post for some useful tips and tricks.
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.
Graph Databases and what they have to do with Panama Papers?
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.
Data scientists – Are they real or just a myth?
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?
How to Understand All That Data – Visualize It!
By using data visualization, we can depict all the data we possess. Try it!
Data Anonymization – Hide and Seek with Data
Data anonymization is the process of data manipulation in order to hide sensitive data.
Do more with your Data(Power) and Kafka
In this blog post we will present an interesting architecture that combines proven IBM technologies with Open Source big data technologies.
Knowing when to learn something new
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.
