Know About The Relation Between Big Data And Hadoop

Owing to the rapid strides made by information technology, use of data is growing consistently. Quantum of total data created till the beginning of the current millennium is now created every five minutes. Such massive data creation and usage has given birth to the concept of big data in the industry.

Understanding Big Data

Big data is basically the collection of huge datasets that cannot be processed using the traditional computing methodologies. On the other hand numerous tools, techniques, as well as frameworks are used to process big data.

Different Fields of Creation

Big data is produced through numerous devices as well as applications. Some of the important types are the black box data used in aircrafts; social media data used by social networking sites, stock exchange data, transport data, power grid data, and search engine data. In brief; big data comprises of large volume and high velocity data from multiple sources.

Three Types of Big Data

Usually big data is of three types. It could be structured or relational data, semi-structured or XML data, and unstructured data. The last one could be in different format such as word, text, PDF or even media logs.

Big Data Benefits

Big Data Training is extremely important for the technological world. Use of big data; especially those available in the social media can help the marketing agencies assess the market trend, response to their publicity campaigns, as well as consumer responses. This enables them to build up effective and rewarding marketing strategies. For instance; processing and analyzing big data can help them to create faster and more accurate services for the clients.

Technologies Involved

Use of effective and efficient technology helps processing of big data for rewarding results. The generated results include greater efficiency in operational fields as well as cost economy and risk reduction.  Technology used should be such that it can process high volumes of structured as well as unstructured data at real times rendering accuracy and safety at the same time.Various leading players in the field of information technology are offering technologies and tools for big data processing. It depends on the user to analyze and compare them and choose the right one befitting his requirements and budget.

Traditional Enterprise Data and Hadoop

The basic difference between traditional enterprise data and Hadoop is that the former is time tested and has been in use for years together whereas the latter is something that is innovative and zesty in nature.  Basic question for the users as well as designers is that whether these two systems could be compatible and coexist with each other.  Yet when it comes to big data processing it is Hadoop that is the more useful and appropriate for the purpose.

About Hadoop

Hadoop is open source software. The advantages of using Hadoop is that it provides reliable, scalable as well as distributed computing on a host of servers at the same time and in result is both cost and time economic. It is fault tolerant and is designed to handle massive scale of processors, memory as well as the local attached storages. The software enables replication and can produce parallel programming model on massive scale. Large amount of data are broken up in to small blocks and they are distributed over the hardware cluster for effective processing.  That is why Hadoop is most appropriate app for Big Dataprocessing.  The processing power is huge and runs up to terabytes.

Hadoop Tools for Big Data

Some of the important Hadoop tools for processing of big data are HDFS or the Hadoop distributed file system, HBase that helps create column oriented, schema-less as well as non-relational distributed databases.  It also provides real time access to read and write big data, and Hive that offers the SQL interface for data processing. Other tools are the Pig platform that could be used to manipulate and analyze big data using high level languages. There is also ZooKeeper that is used to configuring information and at the same time for distributed synchronization and it provides group services.

Learning Big data is the latest and most innovative concept in the world of information technology and processing it can render immense benefits to any enterprise.