Big Data Hadoop Institute

CSDT Centre offers the most comprehensive and in-depth Big Data Hadoop training that is designed by industry professionals in order to help you with your career. This is one combo course that will give you complete mastery of Hadoop developer, administrator, analyst, and testing domains.

Big Data Hadoop training institute in Patna provides in-depth knowledge on Hadoop Ecosystem tools and Big Data. Here you learn HDFS, MapReduce, Hbase, Hive, Pig, Oozie, Flume and Sqoop by working on real-world Big Data Hadoop Projects. Designed by reputed industry experts, this best Hadoop certification training in CSDT centre provides in-depth knowledge on Hadoop Ecosystem tools and Big Data. We also offer real-time training with case study based projects that provide hands-on experience of the subject.

About Big Data Training

👉Big data is a term applied to technologies that facilitate handling substantially large datasets. These datasets are so large that they can’t be processed using conventional or traditional data processing tools. To work these gigantic sets of data, there are dedicated platforms like Hadoop which have especially been designed to handle all kinds of massive data. And because data is everything in the present-day context, enrolling in the best Big Data Hadoop training in Patna would be your wisest move.



👉 Big data refers to the large and complex set of data that are difficult to process using traditional processing systems. Stock exchanges like NYSE and BSE generate Terabytes of data every day. Social media sites like Facebook generates data that are approximately 500 times bigger than stock exchanges



Can It Replace Database

👉A DB is a collection of related data. There are two types of databases – Relation Database Management System while other is Non – Relational Database Management System. Non-Relational Database is also called as NoSQL. We store different types of data in different databases. We store structured data in Relational databases. There are different types of relational databases like SQL, Oracle, SQL Server, DB2, Teradata. We store Semi-Structured or Un-Structured data into Non-Relational databases. We choose databases based on data types. If we are storing and capable of processing a very huge volume of data in databases, Definitely we can store and process Big Data through relational or Non-relational Databases. No, it is not going to replace databases. In one form or other we will be using SQL databases to store and process Big Data. In this regard, Big Data is completely separate from DB.



Why it is so popular?

👉 Volume is probably the best-known characteristic of big data. As we know that almost 90% of today’s data was created in the past couple of years. Volume plays a major role while considering Big Data.


👉Variety: When we are talking of Big Data, we need to consider data in all formats like the handling of structured, semi-structured and unstructured data. We are capturing all varieties of data whether it is a pdf, image, website click, images, and videos. These mix varieties of data are very difficult to store and analyze.


👉 Velocity is the speed or rate at which data is being generated, clicked, refreshed, produced and accessed. Facebook generating 500 Tb of data per day. YouTube is uploading 400 hours of videos per minute. Google is translating billions of searches per day.


👉Variability: The inconsistency shown by the data at times will slow down the process sometimes. It is multiple data dimensions because of multiple data sources.


👉 Veracity: It refers your data accuracy. How accurate is your data and how meaningful it is to the analysis based on it?


Conclusion – Is big data a database

Google Map tells you the fastest route and saves your time. Amazon knows, what you want to buy? Netflix recommends you to list of movies, which you may be interested to watch. If it is capable of all this today – just imagine what it will be capable of tomorrow. The amount of data available to us is only going to increase, and analytics technology will become more advanced. It will be the solution to your smart and advanced life. Maybe you will get a notification on your smartphone prescribing you some medicines because sooner you may encounter health issues. It is going to change a life – the way we are looking at. The database like SQL or NoSQL is a tool to store, process and analyze Big Data.


Big Data Syllabus

  1. ◾ Introduction to BIG DATA: Types, Characteristics & Benefits

  2. ◾Hadoop Tutorial: Features, Components, Cluster & Topology

  3. ◾Hadoop Setup Tutorial - Installation & Configuration

  4. ◾HDFS Tutorial: Read & Write Commands using Java API

  5. ◾What is MapReduce? How it Works

  6. ◾Hadoop & Mapreduce Examples: Create your First Program

  7. ◾Hadoop MapReduce Tutorial: Counters & Joins with Example

  8. ◾What is Sqoop? What is FLUME

  9. ◾Sqoop vs Flume vs HDFS in Hadoop

  10. ◾Create Your First FLUME Program

  11. ◾Hadoop PIG Tutorial: Introduction, Installation & Example

  12. ◾Big Data Testing: Functional & Performance