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…
The growing, data vows cannot be met by conventional technologies and need some really organized and automated technology.
Big data and Hadoop are the two kinds of the promising technologies that can analyze, curate, and manage the data.
The course on Hadoop and Big data is to provide enhanced knowledge and technical skills needed to become an efficient developer in Hadoop technology.
Along with learning, there is virtual implementation using the core concepts of the subject upon live industry based applications. With the simple programming modules, large clusters of data can be managed into simpler versions for ease of accessibility and management.
The Course goes with the aim to understand key concepts about:
HDFS and MapReduce Framework
Architecture of Hadoop 2.x
To write Complex MapReduce Programs and Set Up Hadoop Cluster
Making Data Analytics by using Pig, Hive and Yarn
Sqoop and Flume for learning Data Loading Techniques
Implementation of integration by HBase and MapReduce
To implement Indexing and Advanced Usage
To Schedule jobs with the use of Oozie application
To implement best practices for Hadoop Development Program
Working on Real Life Projects basing on Big Data Analytics
For BI /ETL/DW Professionals
Project Managers of IT Firms
Software Testing Professionals
Aspirants of Big Data Services
Data Warehousing Professionals
Business Intelligence Professionals
What are the pre-requisites for this Course?
To learn Hadoop it is needed to have sound knowledge in Core Java concepts, which is a must to understand the foundations about Hadoop. Anyhow, Essential concepts in Java will be provided by us to get into the actual concepts of Hadoop. As foundation of Java is very much important for effective learning of Hadoop technologies.
Having good idea about Pig programming will make Hadoop run easier. Also Hive can be useful in performing Data warehousing. Basic knowledge on Unix Commands also needed for day-to-day execution of the software.
Why Big Data and Hadoop?
In all aspects, Hadoop is an essential element for companies handling with lots of information.
Hadoop business experts predict that, 2018 will be the year where both the companies and professionals start to bank upon to rush for organizational scope and career opportunities.
With the data exploding caused due to immense digitalization, big data and Hadoop are promising software that allow data management in smarter ways.
Attend Free Hadoop Demo at NIT DATA- The Best Hadoop Training Institute to analyze the way of further training classes.