Hadoop Online training in India

Hadoop Online training in India

               
Hadoop  online training in INDIA, Big Data Hadoop online Training classes in INDIA- Webtrackker Technology is providing the Online Hadoop Training in INDIA with 100% placement support. Hadoop online training in INDIA  expert prides itself on ensuring that our online trainers are real time experts.only the online training company deliver online training programs to our valued candidates.
As part of online trainings expert continuous improvement in online trainings. Each trainer is regularly assessed to candidates given the best quality of training every time.
Hadoop  online training in INDIA :All our trainers are skilled trainers and addition have the real time experience with proven track record in online trainings. This experience qualifies them as a specialist in their online training delivery in their course.
The genesis of Hadoop came from the Google File System paper that was published in October 2003. This paper spawned another research paper from Google – MapReduce: Simplified Data Processing on Large Clusters. Development started in the Apache Nutch project, but was moved to the new Hadoop subproject in January 2006. The first committer added to the Hadoop project was Owen O’Malley in March 2006. Hadoop 0.1.0 was released in April 2006 and continues to be evolved by the many contributors to the Apache Hadoop project. Hadoop was named after one of the founder’s toy elephant.
In 2011, Rob Bearden partnered with Yahoo! to establish Hortonworks with 24 engineers from the original Hadoop team including founders Alan Gates, Arun Murthy, Devaraj Das, Mahadev Konar, Owen O’Malley, Sanjay Radia, and Suresh Srinivas.
BENEFITS
Some of the reasons organizations use Hadoop is its’ ability to store, manage and analyze vast amounts of structured and unstructured data quickly, reliably, flexibly and at low-cost.
  • Scalability and Performance – distributed processing of data local to each node in a cluster enables Hadoop to store, manage, process and analyze data at petabyte scale.
  • Reliability – large computing clusters are prone to failure of individual nodes in the cluster. Hadoop is fundamentally resilient – when a node fails processing is re-directed to the remaining nodes in the cluster and data is automatically re-replicated in preparation for future node failures.
  • Flexibility – unlike traditional relational database management systems, you don’t have to created structured schemas before storing data. You can store data in any format, including semi-structured or unstructured formats, and then parse and apply schema to the data when read.
  • Low Cost – unlike proprietary software, Hadoop is open source and runs on low-cost commodity hardware.

Our other  Courses :
Hadoop online training in INDIA, Big Data Hadoop online Training classes in INDIA- Webtrackker Technology is providing the Online Hadoop Training in INDIA with 100% placement support.

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