What is GIS (Geographical Information System)?
GIS stands for Geographical Information System. It is a system that allows users to add a map with geospatial referencing data such as latitude or longitude, along with other additional…
GIS stands for Geographical Information System. It is a system that allows users to add a map with geospatial referencing data such as latitude or longitude, along with other additional…
As information technology (IT) businesses have grown and matured, organizations have become more dependent on data to drive their businesses. In today's organization, it is important to have control over…
Relational databases are one of the actively used applications in current Information technology-based companies. They are mainly used to retrieve, store, update and delete information for many verticals like financial…
Data Ingestion or Data Processing is a framework or a process in which data from multiple sources is captured to a storage layer that can be accessed, used, and analyzed…
Apache Spark is a distributed, in-memory, and disk-based optimized open-source framework which does real-time analytics using Resilient Distributed Data(RDD) sets. It includes a streaming library, and a rich set of…
Apache Hadoop is an open-source framework that is used to store and process large datasets whose size ranges from gigabytes to petabytes of data. This framework uses multiple commodity computers…
What is HeartBeat? In Hadoop framework heartbeat is a signal that is sent by DataNode to NameNode and also by Task Tracker to the Job tracker. DataNode sends the signal…
Speculative execution is a way of coping with individual machine performance. There might be many machines in large clusters with a hundred or thousands of machines, that are not performing…
Understanding ETL (Extract, Transform, and Load) ETL is an abbreviation of the Extract, transform, and load. It is a process that is used to extract data from various sources and…
When someone works with Big data, they need to have knowledge of many concepts and terms. I will introduce some of the important data terms everyone working with Big data should know.