What is Bigdata? A statistical analysis of ONE MINUTE internet search.

• Google receives over 2,000,000 search queries.
• Facebook receive 34,722 “likes”.
• Consumers spend $ 272,070 on web shopping.
• Apple receives 47,000 Apps downloads.
• 370,00 minutes of calls on Skype,
• 98,000 posts on tweets,
• 20,000 posts on Tumblr,
• 13,000 hours of music streaming on Pandora,
• 12,000 new ads on Craigslist,
• 6,600 pictures uploaded to Flickr,
• 1,500 new blog posts,
• 600 new YouTube videos.

Big Data

Big Data is about the growing challenge that organizations face as they deal with large and fast-growing sources of data or information that also present a complex

range of analysis and use problems. These can include:

• Having a computing infrastructure that can ingest, validate, and analyze high volumes (size and/or rate) of data
• Assessing mixed data (structured and unstructured) from multiple sources
• Dealing with unpredictable content with no apparent schema or structure
• Enabling real-time or near-real-time collection, analysis, and answers

Big Data technologies describe a new generation of technologies and architectures, designed to economically extract value from very large volumes of a wide variety of

data, by enabling high-velocity capture, discovery, and/or analysis.
The data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and
cell phone GPS signals to name a few. This data is big data.

Three V's of BigData

• Volume describes the amount of data generated by organizations or individuals.
• Variety describes structured and unstructured data ,such as text, sensor data, audio, video, click streams, log files and more.
• Velocity describes the frequency  at which data is generated, captured and shared.

Big Data-Hadoop

Hadoop is the Apache open-source software framework for working with Big Data.It was derived from Google technology and put to practice by Yahoo and others. But, Big Data is too varied and complex for a one-size-fits-all solution. While Hadoop has surely captured the greatest name recognition, it is just one of three classes of technologies well suited to storing and managing Big Data. Hadoop is a software framework,which means it includes a number of components that were specifically designed to solve large-scale distributed data storage,analysis and retrieval tasks.

Need of Big Data

• Google processes 20 PB a day.
• Wayback Machine has 3 PB + 100 TB/month.
• Facebook has 2.5 PB of user data + 15 TB/day.
• eBay has 6.5 PB of user data + 50 TB/day.