Big data technologies’ quick development has brought attention to the necessity of a smooth transition between real-time data analytics and batch processing systems. Since HDFS (Hadoop Distributed File System) based […]

In today’s data-driven world, the capability to transport and circulate large amounts of data, especially video files, in real-time is crucial for news media companies. For example, an incident occurred […]

The phrase “deep storage” refers to the long-term storage system used by Apache Druid, where past data segments are preserved for durability and retrieval in the future. Druid stores data […]

Data is quickly becoming the new currency of the digital economy, but it is useless if it can’t be processed. The processing of data is essential for subsequent decision-making or […]

In short, the initial architecture of the data warehouse was designed to provide analytical insights by collecting data from various heterogeneous data sources into the centralized repository and acted as […]

Preceding pen down the article, might want to stretch out appreciation to all the wellbeing teams beginning from cleaning/sterile group to Nurses, Doctors and other who are consistently battling to […]

  The main objective of this article is to highlight why to cut the bridge between Apache Zookeeper and Kafka which is an upcoming project from the Apache software foundation. […]

Apache Hadoop 3.2.0 has been released after incorporating many outstanding enhancements over the previous stable release. The objective of this article is to explain step by step installation of Apache […]

The aim of this article is to highlight the essential steps when there would be a need for a new DataNode into an exiting multi-node Hadoop cluster. Midsize or startup […]

NameNode is the most critical resource in Hadoop core cluster. Once very large files loaded into the Hadoop Distributed File System (HDFS), the files get broken into block-sized chunks as […]