Big Data will be the Big thing in the IT world.
Big data burst upon the scene in the first decade of the 21st century.
Firms such as Google, eBay, LinkedIn, and Facebook were made around big data from the beginning.
Big data can bring about dramatic cost reductions, substantial improvements in the time needed to accomplish a computing task, or new product and service aids.
“Big Data” is similar to “Small Data” but it will be bigger.
There are numerous approaches need for big data. They are,
Big data is aims to resolve new or old problems in a better way.
Decoding the human genome originally took 10 years to be processed, and now it can be achieved in one week.
A typical PC might have had 10GB of storage in 2000.
Today, Facebook consumes500 tetrabytes of new data every day.
Clickstreams and ad impressions capture user behavior at millions of events per second.
High-frequency stock trading algorithms reflect market alterationswithin microseconds.
Machine to machine process will exchange of data between billions of devices
Infrastructure and sensors will createhugelog data in real-time.
Online gaming systems will support millions of concurrent users;each one will produce multiple inputs per second.
Big data is not just numbers, dates, and strings. Big data is also geospatial data, 3D data, audio and video, and unstructured text, which includes log files and social media
Traditional databases systems were formed to reportsmaller volumes of structured data, fewer updates, or a predictable, consistent data structure.
BIG DATA ANALYSIS includes various types of data They are,
Choosing the correct data stores on the basis of your data characteristics
Moving code to data
Execution of polyglot data store solutions
Aligning business goals to the suitable data store.
Analyzing your data characteristics
Overview of Big data stores
Integrating disparate data stores
Using Hadoop MapReduce
Thoughweb-based unstructured content is still the main focus for many organizations in data analysis, data analytics, and big data, the current possibilities to recovervaluable information are emerging out of mobile devices.
Since the early 2000s, the internet and website have started to provide unique data collections and data analysis chances. With the expansion of web traffic and online stores, companies such as Yahoo, Amazon, eBay started to analyze the behavior of customers by analyzing click-rates, IP-specific location data, and search logs. This opened a completely new world of opportunities.
Data analytics and big data, both terms were originated from the longstanding domain of database management. It depends onthe storage, extraction, and optimization methodologies that are common in data that will bestored in relation database management systems.
Used in smarter healthcare
Involves in Homeland security
Despite the applications and advantages of big data, it has several disadvantages as well.