Big Data & Hadoop Ecosystem
BIG DATA & HADOOP ECOSYSTEM “Big data is collection of data sets so large and complex thatit becomes difficult to process using on-hand databasemanagement tools or traditional data processingapplications.” – Wikipedia
Big Data is a term given to large volumes of data thatorganizations store and process. However, it is becoming verydifficult for companies to store, retrieve and process the ever-increasingdata.
The problem lies in the use of traditional systems to storeenormous data. Though these systems were a success a few yearsago, with increasing amount and complexity of data, these aresoon becoming obsolete.
Hadoop, in all those companies working with BIG DATA in a variety of applications, has become an integralpart for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.
Hadoop is an open source software framework that supports data-intensive distributed applications. Hadoopis licensed under the Apache v2 license. It is therefore generally known as Apache Hadoop. Hadoop has been developed, based on a paper originally written by Google on MapReduce system and applies concepts offunctional programming.
Hadoop is written in the Java programming language and is the highest-levelApache project being constructed and used by a global community of contributors.
Big Data & Hadoop syllabus in brief
- ntroduction to Hadoop
- Distributed File System (HDFS)
- Setting up Hadoop Cluster
- Understanding - Map-Reduce Basics and Map-Reduce Types and Formats
- PIG & PIG LATIN
- HIVE & HIVEQL
- SQOOP Project
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