Big data Hadoop
Big data Hadoop is an advance technology that is use to produce and store giant data base in petabyte and zettabyte. World top most companies like Google, Facebook, Amazon etc. are using this technology to generate, store, manage and analysis large number of unstructured data. Hadoop is core platform for structuring big amount of data, and it solves the formatting problems. The storage method is known as Hadoop Distribution File system.
Big data is the huge sets of data base that business to assist specific goals and setups. Big data can comprise many different kinds of data in many different formats. Hadoop is a tool of Big data that is use to handle huge unstructured data amount. It includes various main components, including a MapReduce set of functions and a Hadoop distributed file system (HDFS).
Hadoop technology is an open source framework coded in java. Software applications developed on Hadoop technology are run on gigantic data or information sets distributed across clusters. MapReduce is an operational model and application software framework for programming applications for Hadoop. MapReduce algorithm is capable to process applications and simultaneously run on different system.
Advantage of Big data Hadoop Technology:
- Capable to store enormous data of any kind of data.
- Highly Scalable
- Fault tolerance
- Cost Effective
- Better Operational Efficiency
Big data Hadoop Training
LinuxWorld Informatics Pvt. Ltd. is providing training on Big data Hadoop technology for all computer science students. Big data Hadoop certification is good option for both Fresher and experienced to get awesome career prospects. We providing an opportunity for students to improve their technical skills: Training offers a practical and professional environment where they can develop soft skills. The major advantage of this training is students get to learn from the basic steps of technology, and also work on live project in supervision of our well experienced industrial professionals.