What is Big Data and Characteristics of Big Data V3s?

4 years ago

What is Big Data?

Big Data may well be the Next Big Thing in the IT world.
Big data burst upon the scene in the first decade of the 21st
The first organizations to embrace it were online and startup Firms like Google, eBay, LinkedIn, and Facebook were built around big data from the beginning.
Like many new information technologies, big data can bring about dramatic cost reductions, substantial improvements in the time required to perform a computing task, or new product and service
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:

An aim to solve new problems or old problems in a better way
Big Data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing

Walmart handles more than 1 million customer transactions every
Facebook handles 40 billion photos from its user
Decoding the human genome originally took 10 years to process; now it can be achieved in one
Twitter generates 7TB of data
IBM claims 90% of today’s stored data was generated in just the last two

A typical PC might have had 10 gigabytes of storage in
Today, Facebook ingests 500 terabytes of new data every
Boeing 737 will generate 240 terabytes of flight data during a single flight across the US.
The smart phones, the data they create and consume; sensors embedded into everyday objects will soon result in billions of new, constantly-updated data feeds containing environmental, location, and other information, including

Clickstreams and ad impressions capture user behavior at millions of events per second
High-frequency stock trading algorithms reflect market changes within microseconds
Machine to machine processes exchange data between billions of devices
Infrastructure and sensors generate massive log data in real-time
On-line gaming systems support millions of concurrent users, each producing multiple inputs per

Big Data isn't just numbers, dates, and Big Data is also geospatial data, 3D data, audio and video, and unstructured text, including log files and social media.
Traditional database systems were designed to address smaller volumes of structured data, fewer updates or a predictable, consistent data
Big Data analysis includes different types of data

Real-time big data isn’t just a process for storing petabytes or Exabyte of data in a data warehouse, it’s about the ability to make better decisions and take meaningful actions at the right time.
Fast forward to the present and technologies like Hadoop give you the scale and flexibility to store data before you know how you are going to process it.
Technologies such as MapReduce, Hive and Impala enable you to run queries without changing the data structures
Now newest research finds that organizations are using big data to target customer-centric outcomes, tap into internal data and build a better information
Big Data is already an important part of the $64 billion database and data analytics
It offers commercial opportunities of a comparable scale to enterprise software in the late 1980s and the Internet boom of the 1990s, and the social media explosion of