Overview of Big data(ppt)
- 2. Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.
- 4. What Is
- 5. What is Big Data? • ‘Big Data’ is similar to ‘small data’, but bigger in size . • Having data bigger it requires different approaches: -- Techniques, tools and architecture • 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 techniques.
- 6. Characteristics Of Big Data (3 V’s)
- 7. Volume Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data. In the past, storing it would’ve been a problem – but new technologies (such as Hadoop) have eased the burden. A typical PC might have had 10 gigabytes of storage in 2000. Today, Facebook ingests 500 terabytes of new data every day.
- 8. Velocity 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 realtime . On-line gaming systems support millions of concurrent users, each producing multiple inputs per second.
- 9. Variety Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions. Big Data isn't just numbers, dates, and strings. Big Data is also geospatial data, 3D data, audio and video, and unstructured text, including log files and social media.
- 10. The Structure of Big Data Structured • Most traditional data sources Semi-structured • Many sources of big data Unstructured • Video data, audio data
- 11. Why Big Data •FB generates 10TB daily •Twitter generates 7TB of data Daily •IBM claims 90% of today’s stored data was generated in just the last two years.
- 15. WHAT IS HADOOP TO SOLVE BIG DATA PROBLEM:
- 17. BIG DATA ANALYTICS Examining large amount of data Appropriate information Identification of hidden patterns, unknown correlations Competitive advantage Better business decisions: strategic and operational Effective marketing, customer satisfaction, increased revenue
- 19. HOW BIG DATA IMPACTS ON IT • Big data is a troublesome force presenting opportunities with challenges to IT organizations. By 2015 4.4 million IT jobs in Big Data ; 1.9 million is in US itself India will require a minimum of 1 lakh data scientists in the next couple of years in addition to data analysts and data managers to support the Big Data space.
- 21. Benefits of Big Data •Real-time big data isn’t just a process for storing petabytes or exabytes 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. •Our newest research finds that organizations are using big data to target customer-centric outcomes, tap into internal data and build a better information ecosystem. •Big Data is already an important part of the $64 billion database and data analytics market
- 22. References Links: http://studymafia.org/big-data-seminar-report-with-ppt-and-pdf/ https://www.slideshare.net/nasrinhussain1/big-data-ppt-31616290 https://www.sas.com/en_in/insights/big-data/what-is-big-data.html# https://en.wikipedia.org/wiki/Big_data
- 23. Pousin China IT,3rd yr, 67 Shatavisha Roy Chowdhury IT, 3rd yr, 97 Trisha Ghosh IT ,3rd yr, 118