Why Big-Data and Hadoop
A recent IDC study, sponsored by EMC2, predicts that the “digital universe” , the data that is generated in digital form by humankind, will double every two years and will reach 40,000 exabytes by 2020. The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. Hadoop online Training, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications has become an integral part for storing, handling, evaluating and retrieving hundreds or even petabytes of data. The main source of this huge data is complex and unstructured data which is coming from the follows sources:
Today, every other industry is generating Big Data and they need Hadoop experts to come up with the BIG Insights as a value addition/New offering to the existing customer and to get new customers.More interestingly, all existing big players which are into Analytics, even they are connecting to Hadoop to get massaged/processed data. There is a potential dearth of good software engineers/programmers on Big data. Considering the above fact, we are in an industry to cater to these services so that more and more people are committed to the cause
09 Sessions, each session of 03-04 hours
Why Petaa-Bytes ?
What is Big Data ?
Big data is basically vast amount of data which cannot be effectively processed, captured and analyzed by traditional database. Though the “big” in Big Data is subjective, McKinsey estimates that it would anywhere between few dozen terabytes to petabytes for most of the sectors.
Big Data information explosion is mainly due to the vast amounts of data generated by social media platform, data input from Omni-channels, various mobile devices, user generated data, multi-media data and so on. Analysts term this as an expanding “Digital Universe”.
What is Apache Hadoop ?
Hadoop Online Training project develops open-source software for reliable, scalable, distributed computing.
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.
Best Hadoop Classes and Hadoop Online Training is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster, Advanced Map-Reduce, Oozie, Hbase Zookeeper etc. will be covered in the course.
Project Work:- Towards the end of the course, you will be working on a live project which will be a large dataset and you will use PIG, HIVE, HBase and MapReduce to do the analytics. The final project is a reallife business case on some open data set.
Course Duration:- 09 Sessions, each of 3-4 Hrs + Hands on session(for classroom) + Assignments + Project Work
MODULE 1: Hadoop and its Architecture
MODULE 2: Single/Multi Node Cluster Configuration
MODULE 3: Hadoop MapReduce framework
MODULE 4: Advance MapReduce
MODULE 5: Pig Latin
MODULE 6: Hive (HQL - Hive Query Language)
MODULE 7: Advance Hive, Hadoop’s NOSql Database : HBase
MODULE 8: Advance HBase and ZooKeeper
MODULE 9: Hadoop 2.0, MRv2 and YARN
Learning Objectives :-
In this module, you will understand the newly added features in Hadoop 2.0, namely, YARN, MRv2, NameNode High Availability, HDFS Federation, support for Windows etc.
Take Away From The Course