In recent modern Big Data applications, numerous databases (NoSQL) have introduced columnar data storage, which provides several benefits over traditional row-oriented databases. Many Hadoop vendors like Cloudera, Hortonworks, and MapR…
Apache HBase is an open-source, distributed, versioned, non-relational(NoSQL) database modeled after Google's Big Table. Even though this terminology overlaps with relational databases(RDBMS), the HBase table, in reality, is a multidimensional…
Apache HBase is an open-source, non-relational, distributed database modeled after Google's BigTable. It is developed as part of the Apache Software Foundation and is written in Java. It sits on…
We can run Apache Pig Latin code and Pig statements using various modes. We will go through all of the Apache Pig execution modes in detail in this blog post.
Apache Flume is an Apache open source project used for moving massive quantities of streaming data into HDFS. It collects log data from the web server logs files and aggregates…
Complex Event Processing (CEP) is a technique for tracking, analyzing, and processing incoming streams of data in real time and generating a summarized report. Event processing-based platforms have built-in capabilities…
Sqoop is a command-line interface application for transferring data between relational databases and Hadoop.This blog post will teach you basic tasks that you can perform with Sqoop.
Introduction to Data Lake A Data Lake is a centralized data-centric storage architecture that is used for persisting a variety of data in its raw, unfiltered, and untransformed format. It…
Managing metadata is an integral part of the overall data governance standard. An efficient way to do this is to establish data stewardship for metadata. It will ensure that data…
Apache Pig is a high level dataflow language for analyzing large data sets. The data flows in a pipeline step by step and data can be stored at any point in the pipeline