Evolution driven by a real need

New data are emerging from various kind of sources at an alarming rate. It’s been constantly produced in large scale by every digital process, machine, systems and people. Everything around us at all situations/times involved in flooding the data storage system. These voluminous amount of data takes variety of forms like structured, semi-structured and unstructured type. Social network activity like profile, logging, posting and sharing, internet archive store, web information that are publicly available, web/warehouse application and similar bounty of things around us overwhelming present infrastructure. These data would take much time and cost to load into relational database. With this expanded data set, the need for accumulation, manipulation and getting major benefit out of it, has been drastically increased over the period of time. Many complications may also kick out as these data is spanned across the network nodes. Key importance was given to faster data access in more secure and effective ways. Some new layer of technology intellectual ,optimized superstructure, diagnostic capabilities skills, fast processing power, ways to avoid network taxing are highly required to extract meaningful big data information that illuminate modern day life.

BigData 4Vs

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Ex: logs, tables, transaction records, files, sensor data, web data etc.

Variety : Diversification exists in data like structured, semi-structured, unstructured

Ex: Audio/Video files, images, GIS data, social feeds, world event, footage.

Velocity : Outpouring of data may be continuous, streaming, real time sensitive.

Ex: Batch, Interactive, Real time, Historic, Streaming.

Veracity : Performance, scalability, reliability, peculiarity of data

Ex: Incomplete, inequality, undefined, acceptable, invalid.

Infrastructure to perk up web services

Big Data changes the working style of business people within management. Fresh insight to the valuable data sets helps all professional icons for better and deeper business understanding, decision making, improvising customer involvements and satisfaction, customizing the entangled applications, isolating environment from bugs and threats, thereby achieving steeper increases in the trade growth rate. Many IT leaders and business experts keep building their web map by realizing the value from all types of data and refactor current aspect that balances the increasing world need.

Some powerful combination or ultramodern technologies were needed for driving the expansion and scaling without fallout. Many new productive technologies were evolving to alter the way we function and perform with the data. Moreover, the rapid evolution in data processing platforms and mechanism are mainly oriented towards exploring how it can help in better and deeper understanding of big data, store the data solitarily, enable continuous processing of big data with reasonable cost and time, effective data manipulation, identifying technology to drive its data service usable to other businesses, ways to tackle the key business real time challenges/pitfalls and identifying faster life-tuning solutions.