Videos


Post a Comment

Big Data: Mined + Refined + Delivered = Value

Length: 3:24
April 19, 2013

Big data is a new natural resource. Like other natural resources, big data needs to be successfully mined, refined and delivered in order to create value.

  • Organizations first need to mine big data through Exploration. Exploration is finding, connecting and understanding the value of all available data.
  • Refining big data is accomplished with advanced analytics made possible with improved Performance. Big data can be transformed into actionable insights in seconds rather than hours— affordably enough to make an impact on every project and decision.
  • Delivering big data is ensuring its Consumability. Organizations can accelerate time to value with big data systems that are flexible and intuitive.
  • Business users can easily understand big data insights to apply to their initiatives.

Exploration, Performance and Consumability. These ensure that big data as a resource for fueling smarter business decisions is used in the most efficient and effective way possible. To achieve this, IBM's Big Data Platform brings together an interlocking system of capabilities—delivering remarkable insights and better results at the speed of business.

 

IBM Big Data in a Minute

:15 | Apr. 14, 2014

Can big data equal big money?

3:02 | Mar. 13, 2014

Data gaffes? Data governance!

10:32 | Feb. 27, 2014

Big Data for Healthcare

4:26 | Jul. 05, 2013

Big Data Bytes - May 31

35:12 | Jun. 04, 2013

Big Data Bytes - May 17

41:39 | May. 17, 2013

Top Big Data Use Cases Explained

30:46 | May. 02, 2013

What Is Big Data?

3:30 | Aug. 21, 2012

Big Data and Digital Media

29:31 | Jul. 30, 2012

What is Big Data? Part 1

17:46 | Jul. 30, 2012

What is Big Data? Part 2

15:57 | Jul. 30, 2012

IBM Smarter Analytics

3:41 | Aug. 02, 2012

What is Hive?

2:51 | Jul. 30, 2012

What is Pig?

3:01 | Jul. 30, 2012

What is HDFS?

2:51 | Jul. 30, 2012

What is MapReduce?

2:39 | Jul. 30, 2012

What is Hadoop?

3:12 | Jul. 30, 2012

Netezza Factor: The Netezza Buzz

2:15 | Jul. 30, 2012

Big data is a new natural resource. Like other natural resources, big data needs to be successfully mined, refined and delivered in order to create value.

  • Organizations first need to mine big data through Exploration. Exploration is finding, connecting and understanding the value of all available data.
  • Refining big data is accomplished with advanced analytics made possible with improved Performance. Big data can be transformed into actionable insights in seconds rather than hours— affordably enough to make an impact on every project and decision.
  • Delivering big data is ensuring its Consumability. Organizations can accelerate time to value with big data systems that are flexible and intuitive.
  • Business users can easily understand big data insights to apply to their initiatives.

Exploration, Performance and Consumability. These ensure that big data as a resource for fueling smarter business decisions is used in the most efficient and effective way possible. To achieve this, IBM’s Big Data Platform brings together an interlocking system of capabilities—delivering remarkable insights and better results at the speed of business.

  • InfoSphere Data Explorer enables people to explore and discover new sources of potential value across data and content silos.
  • InfoSphere BigInsights extends the value of Hadoop with enterprise capabilities and analytics. Users are able to leverage existing SQL skills and applications.
  • InfoSphere Streams enables real-time analysis of data “in-motion” with increased runtime performance—while simplifying deployment, development and integration.
  • The IBM Big Data Platform also contains a set of high performance data warehousing capabilities.

o   DB2 with new BLU Acceleration delivers speed of thought analytics through dynamic, in-memory data marts and warehouses with “create, load and go” simplicity.

o   Informix with TimeSeries Acceleration speeds reporting and analytics for smart meter and sensor data.

o   PureData System for Hadoop delivers deep insight, combining the advanced capabilities of InfoSphere BigInsights with the built-in expertise and appliance simplicity of an Expert Integrated System.

  • Information Integration and Governance ensures data quality, delivers information across enterprise systems, manages the information lifecycle and protects data.
  • Entity Analytics Solutions provides entity resolution and high-scale exploration of organizational relationships.
  • Accelerators speed time to value with analytic and application accelerators.

IBM’s big data platform: delivering remarkable insights and better results at the speed of business. Learn more about the advances in IBM’s big data platform.