Hadoop is an open source, Java based framework used for storing and processing big data. The data is stored on inexpensive commodity servers that run as clusters. Its distributed file system enables concurrent processing and fault tolerance. Developed by Doug Cutting and Michael J. Cafarella, Hadoop uses the MapReduce programming model for faster storage and retrieval of data from its nodes. The framework is managed by Apache Software Foundation and is licensed under the Apache License 2.0.
For years, while the processing power of application servers has been increasing manifold, databases have lagged behind due to their limited capacity and speed. However, today, as many applications are generating big data to be processed, Hadoop plays a significant role in providing a much-needed makeover to the database world.
From a business point of view, too, there are direct and indirect benefits. By using open-source technology on inexpensive servers that are mostly in the cloud (and sometimes on-premises), organizations achieve significant cost savings.
There are no prerequisites to take up this Big Data course and to master Hadoop. But basics of UNIX, SQL and Java would be good to learn Big Data Hadoop. At Intellipaat, we provide complimentary Linux and Java training with our Big Data certification course to brush-up the required skills so that you are good to go in the Hadoop learning path.
Big Data is the fastest growing and the most promising technology for handling large volumes of data for doing data analytics. This Big Data Hadoop course will help you be up and running in the most demanding professional skills. Almost all top MNCs are trying to get into Big Data Hadoop; hence, there is a huge demand for certified Big Data professionals. Our Big Data online course will help you learn Big Data and upgrade your career in the Big Data domain. Getting the Big Data certification from Intellipaat can put you in a different league when it comes to applying for the best jobs. Intellipaat’s Big Data online training has been created with a complete focus on the practical aspects of Big Data Hadoop.
Hadoop Courses | Developer | Admin | Architect |
Proficiency | MapReduce, Spark and HBase | Cluster schedule, monitor and provision | Includes all components |
Audience | Analytics, BI, ETL Personnel and Coders | Mainframe and QA Personnel | Includes audience of both |
Average Salaries | $100,000 | $123,000 | $172,000 |