Big Data Hadoop Summer Training

Hadoop is an open-source framework that allows to store and process Big Data in a distributed environment across clusters of computer using simple programming models. Core components of Hadoop are HDFS and MapReduce. HDFS is basically used to store large data sets and MapReduce is used to process such large data sets.

Hadoop can be run in one of three modes:

• 1        Standalone (or local) mode
• 2        Pseudo-distributed mode
• 3       Fully distributed mode

    A lot of companies are using Big Data Hadoop technology such as Cloudera, EMC, MapR, Hortonworks, Amazon, Facebook, eBay, Twitter, Google and so on, to capture, store, process, retrieve and analyze huge data base. Facebook is generating 500+ terabytes of data per day, NYSE (New York Stock Exchange) generates about 1 terabyte of new trade data per day, and a jet airline collects 10 terabytes of censor data for every 30 minutes of flying time. All these are day to day examples of Big Data Hadoop.

According to IBM, the three characteristics of Big Data are: Volume: Facebook generating 500+ terabytes of data per day. Velocity: Analyzing 2 million records each day to identify the reason for losses. Variety: images, audio, video, sensor data, log files, etc.

 

Advantage of Big data Hadoop Technology:

• Capable to store enormous data of any kind of data.
• Highly Scalable
• Fault tolerance
• flexible
• Cost Effective
• Better Operational Efficiency

LinuxWorld Informatics Pvt. Ltd. is starting Summer Training on Big Data Hadoop for all computer science students. Big Data Hadoop certification is good option for both fresher and experienced to get awesome career prospects. We provides Big Data Hadoop certification training course in Jaipur. The main advantage of Training program for C.S.E. trainee, they learn and work on live project in steerage of senior developers.