A QUICK READ ON 5 BIG DATA CONCEPTS!

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Big Data

 

What Is Big Data?

 

Big data is the large volume of structured and unstructured data which is so huge by its volume that it is difficult to process using traditional database and software techniques. Big Data has the potential in assisting of companies enhance operations and make quicker and ingenious decisions.

 

Let’s look at some of the important terms and definitions from the Big Data universe such as:

 

  1. MapReduce
  1. HDFS
  1. Cloudera
  1. Zookeeper and Sqoop
  1. Hadoop Ecosystem

 

Big Data experts define the subject and concept as The three V’sVolume, Velocity and Variety. This concept was introduced by Doug Laney in 2001 to refer to the challenge of data management. In other words it’s a lot of data produced in large numbers in varied forms which could entail customer transaction histories, production databases, web traffic logs, online videos, social media interactions, et al.

 

Let’s understand the 5 Big Data Concepts in a little more detail:

 

MapReduce

 

The MapReduce component of Hadoop is responsible for processing jobs in distributed mode. A MapReduce job usually splits the inputs data-set into independent chunks which are processed by the map tasks in parallel. The framework sorts the outputs of the maps, which are then input to the reduce tasks.

 

Also Read>> Big Data Interview Questions & Answers

 

HDFS

 

 The Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware; it is highly fault-tolerant and is designed to be deployed on low-cost hardware thus providing high throughput access to application data. When an unstructured data is uploaded on HDFS, it is converted into data blocks of fixed size.

 

Cloudera

 

 Cloudera is a commercial tool for deploying Hadoop in an enterprise setup. The key structures of  Cloudera are that it  100% open-source distribution of Apache Hadoop and related projects like Apache Pig, Apache Hive, Apache HBase, Apache Sqoop, etc. It has its own user-friendly Cloudera Manager for system management, Cloudera Navigator for data management, dedicated technical support and so on

 

 

Zookeeper and Sqoop

 

It is a centralized management service for maintaining and configuring information, naming, providing distributed synchronization, and group services.  Zookeeper and Sqoop ZooKeeper is an open-source and high performance co-ordination service for distributed applications. The services it offers range from Naming, Locks and synchronization, Configuration management, and Group services.

 

To Summarize…..

 

The acceptance and usage of Hadoop has grown manifold in the last few years primarily because it meets the needs of many organizations for flexible data analysis capabilities with an unmatched price-performance curve.  Data analysis requires a people/companies to create different data sets based on one or more common fields so that analysis becomes easy but the in the event of Big Data the need for creation of subsets vanishes. There are now tools that can analyze data irrespective of how huge it is, these tools along with analysing categorize the data as well.

 

Analysis of data sets can find new correlations, to identify business trends, prevent diseases, combat crime and so on. Disciplines of big data and analytics are growing at a very fast pace that businesses need to get in or get being left behind.

 

These 5 concepts of Big Data are just of the tip of the iceberg, there are a number of other tools, applications and servers running behind, to provide us with curated, sorted, listed, analysed and useful data for application in our businesses.

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About the Author

Puneet Kumar

Puneet Kumar

Puneet is a Post Graduate in Marketing Management from the University of Aberdeen, a writer, and Digital Marketing enthusiast. He writes professionally for resumes, websites, company profiles, and blogs. With a wide-spectrum understanding across various industries and domains, he has scripted success stories for thousands of jobseekers. He loves to read and travel in his free time.