Big Data Solutions - Apache?s Hadoop & Spark
Posted by loreen on June 26th, 2018
Hadoop, part of Apache project by Apache Software Foundation, is an open-source Java-based software framework that allows processing of large data sets. It provides enormous data storage space with excellent processing power and impeccable multitasking for jobs at hand. Hadoop actually uses a network of computers in solving issues with huge amount of data and computation. In order to improve the skills, it is highly recommended to enroll for Hadoop Classroom Training In Bangalore.
Hadoop lets you store Big Data in a distributed manner so that it can be processed simultaneously. There are two focus areas in Hadoop – Storage and Processing.
Traditional data handling systems are unable to manage “Big data” due to the following factors:
Another cluster-computing framework is Spark or Apache Spark; however, it does not have its own file distribution system and is basically a processing unit like yarn in Hadoop. Therefore, it depends on Hadoop or some other solution. Spark is like Hadoop MapReduce, which deals with computing and processing part.
As data has qualified as a valuable resource, the business world is investing heavily to ensure better technologies are employed for data management. With ever increasing data, Big Data, the IT industry needs and will need professionals who specialize in Big Data handling application like Hadoop and Apache Spark. To secure a career in Big Data handling, you can sign up to quality for the Best Spark Training In Bangalore.
Like it? Share it!
About the Authorloreen
Joined: November 13th, 2017
Articles Posted: 387
More by this author