Overview This particular section is mainly involved in discussing the 15 best tips and tricks for the MongoDB developers. Hope the following tips will help you understand it and follow in your project. Tip 1: Duplicate The Data For Speed,…
Overview: The Internet of Things (IOT) is the new reality that is going to penetrate into our lives. According to Gartner, the number of interconnected devices will increase to 6.4 billion in 2016, up by 30% ex 2015, thus generating…
Overview: There are a bunch of working definitions for Big Data yet to me it is put as data collection so substantial and complex that it ends up troublesome or difficult to process those utilizing conventional databases. For a little…
Overview: Data is evolving everywhere- from a single voice search you just made to locate a nearby restaurant in your neighbor to the last weekend’s party pictures which you just threw over Facebook account. “A report reveals that 2.5 quintillion…
Overview: As big data becomes one of the most important assets an enterprise can possess, enterprises are demanding more out of the data. Enterprises expect data to provide complex and multidimensional insights at high speeds. To provide such insights, companies…
Overview: Apache HBase is one of the most popular non-relational databases built on top of Hadoop and HDFS (Hadoop Distributed File system). It is also known as Hadoop database. As an Apache project, HBase is an open-source, versioned and distributed…
Overview: Apache Pig is a high level scripting language and a part of Apache Hadoop Eco-system. Pig scripting is mainly used for data analysis and manipulation on top of Hadoop platform. We know that MapReduce is a programming model used…
Introductio: In this series, we will discuss some of the basic concepts in Hadoop and big data. We have tried to cover basic concepts and explain them to make it easy to learn and implement. We will keep on adding…
YARN Overview: Since hadoop version 0.23, MapReduce has changed significantly. It is now known as MapReduce 2.0 or YARN. MapReduce 2.0 is based on the concept of splitting the two major functionalities of job tracker – resource management and…
