What is Big Data?
Every day, 2.5 billion gigabytes of high-velocity data are created in a variety of forms, such as social media posts, information gathered in sensors and medical devices, videos and transaction records.
What can you do with Big Data?
Big data
Can address a multitude of problems if anyone know how to use it. Insights gleaned from big data can help organizations deepen customer engagement, optimize operations, prevent threats and fraud, and capitalize on new sources of revenue. But to be successful, there's need a clear understanding of the characteristics of big data and the skills required to manage it.
The Four V's of Big Data
From traffic patterns and music downloads to web history and medical records, data is recorded, stored, and analyzed to enable the technology and services that the world relies on every day. But what exaclty is big data, and how can these massive amounts of data be used?
As a leader in the sector, IBM data scientists break big data into four dimensions:
- 1Volume Scale of data
- 2Velocity Analysis of streaming data
- 3Variety Different forms of data
- 4Veracity Uncertainty of data
Depending on the industry and organization, big data encompasses information from multiple internal and external sources such as transactions, social media, enterprise content, sensors, and mobile devices. Companies can leverage data to adapt their products and services to better meet customer needs, optimize operations and infrastructure, and find new sources of revenue.
IBM Big Data Platform
IBM is unique in having developed an enterprise class big data platform that allows addressing full spectrum of big data business challenges.
Why a platform versus individual products to address big data pain points? The real benefit of the platform is leverage the ability to start with one capability and easily add others over big data journey. IBM is the only vendor with this broad and balanced view of big data with the needs of a platform the benefit is pre-integration of its components to reduce implementation time and cost.
Key Platform Capabilities
IBM is unique in having developed an enterprise class big data platform that allows addressing full spectrum of big data business challenges.
- 1Hadoop-based analytics Processes and analyzes any data type across commodity server clusters.
- 2Stream Computing: Drives continuous analysis of massive volumes of streaming data with sub-millisecond response times.
- 3Data Warehousing: Delivers deep operational insight with advanced in-database analytics.
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