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 […]

To import data from most the data source like RDBMS, SQOOP internally use mapper. Before delegating the responsibility to the mapper, sqoop performs few initial operations in a sequence once […]

Using Apache Sqoop, we can transfer structured data from Relational Database Management System to Hadoop distributed file system (HDFS). Because of distributed storage mechanism in Hadoop Distributed File System (HDFS), we […]