How to Install Hadoop on Ubuntu

What is Hadoop? Hadoop is the open source and java based framework.It is used to storing lage amount amount of data and having more components to accessing the data.In Hadoop installation java is most important because hadoop is java based Read More …

CAP Theorem in Hadoop

What is CAP Theorem? CAP theorem is designed for distributed file systems(collection of interconnected nodes).CAP Theorem also known as Brewer’s theorem and used to distributed consistency.It contains follwing three technical terms for distributed systems. C – Consistency A – Availability P – Partition Read More …

Apache Hadoop Hive Tutorial

What is Hive? Hive is Data warehousing tool and used to process the data in Hadoop and HDFS.Hive is similar to SQL because it analyzes and processes the data with querying language. Hive runs on MapReduce and top of the Hadoop. Hive Read More …

Apache Kafka Architecture and Components

What is Apache Kafka? Kafka is designed for distributed systems.It mainly used to transfer data from Hadoop using the messaging system. Messaging system means transferring data from one application to another one but it does not consider how to transfer data and Read More …

Apche Hadoop Flume Tutorial

What is Apache Flume? Apache Flume is one tool and used to moving data from one place to another place.Flume is the distributed systems that transporting the data at reliable manner.Flume is most important part of hadoop ecosystem.In Apache flume Read More …

Apache Spark Tutorial

What is Apche Spark? Spark also open source framework and mainly used for data analytics. Spark runs more faster than hadoop and it designed on top of the hadoop. Spark does not have separate file system and it integrated with Read More …

Apache Hadoop Oozie Tutorial

Introduction: Oozie is mainly used to manages the hadoop jobs in HDFS and it combines the multiple jobs in particular order to achieve the big task. It is the open source framework and used to make multiple hadoop jobs. Oozie supports the Read More …