The expansion of big data and the application of new digital technologies are driving change in the way we are looking and using data to respond to different business needs.

Traditional databases are built primarily for fast queries, transaction processing and updating real-time data. Typ

MySQL is a fast, multi-threaded, multi-user, and robust SQL database server. It is intended for mission-critical, heavy-load production systems and mass-deployed software. It is part of database management system provided by Oracle, and can be installed as part of the popular LAMP (Linu

If you just start learning Big Data technologies, You might not know that there is 2 main basic types of tables in Apache Hive. Knowing the difference between them and when to use one in place of other, can give you great results and impact your data management. that and more what we

Apache Hadoop project has developed open-source software for reliable, scalable, and efficient distributed computing. Hadoop Distributed File System (HDFS) is a distributed file system that stores data on low-cost machines, providing high aggregate bandwidth across the cluster Read more

in this article we will see how to perform broadcast join , which known in other names as map side or replicated join, using Apache Spark . If we don’t use a broadcast feature when performing a join on 2 dataframes, it will result in heavy shuffle operations in the cluster, which will

Data Structures

Data Engineering

Algorithms

Data Science

Linux

Using Red Hat Satellite to configure hosts with Ansible playbooks and roles

Controlling pod placement onto nodes in OpenShift

Create a storage class for NFS dynamic storage provisioning in OpenShift

Windows management with Ansible

Track down space in Linux

Running Spark on Kubernetes with AKS

Data Lakehouse, The Best of Both Worlds

CAP Theorem, Does it still hold in modern days

Pandas API over Pyspark