Why big data is a best open source technology today?

The advancement of technology has gone so far for corporate & commercial use. One of the modern & powerful equipment is big data source technology. This is like an ocean from where company Search & retrieve data as per their requirement.
When we talk about the open source, we consider the big stored data to use. There are five major steps involved in this work.
  1. Search the available data from various source, it could be internal or external.
  2. Collecting all the data (structured, unstructured &raw data in secured manner).
  3. Short- listing the useful data.
  4. Storing the data systematically.
  5. Distribution of stored data.
Today, the value of data market is around $14 billion.
There are so many tools available to manage the big data.  Hadoop & NoSQL databases are framework & equipment which have been used by most of the software companies. There are some business intelligence tools also which helps in computing & arranging the data into different files, transferring it. Programming language like java, c c+ are used to run this whole system.
Apart from Hadoop there are different important tools also. AVRO is a data serialization tool which uses binary system for documenting different files. The retrieval becomes easy at the time of requirement. There is no requirement of coding to read and write the different files. Oozie is a supporting tool of hadoop, it is server based engine which helps in scheduling the task. Zookeeper is centralized service for maintaining configuration information, name of the file etc. It helps in co-ordination of source of information and its distribution to different computers of the cluster. Lumify is a web based interface which helps in searching different king of documents, graphics, audio & video. It helps in integration and it’s analytics. It is used in analysis & combining the data. TALEND OPEN STUDIO is a supporting (graphical) tool of HADOOP & NoSQL databases, it helps in coding which enhances the functioning of this technology. HPSC System is a good alternative of Hadoop. This is used for collection and storage of the data, manipulation and altering the raw data. Apache storm is used for computing real time data. It is a supporting tool of Hadoop which helps in batch processing of data. Apache drill is a SQL query engine which helps in fetching the data from big database. Apache Samoa: It is used to mine the streamed big data. Penatho business analytics is used in sorting the data and making report with speed and accuracy. Karmasphere studio & analyst is also a supporting tool which helps in different task of hadoop. Skytree server is an open tool which uses the algorithm to search the data from huge database.

CONCLUSION:

There is a huge demand of open big data source which could be used for future reference, finding out the trend, observation and making case study of product or service. This is one of the cost effective and efficient technologies for business analysis & intelligence.

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