IBM big data and information management
Now known as IBM Watson Foundations
Big Data…it's varied; it's growing; it's moving fast, and it's very much in need of smart management. Data, cloud and engagement are energizing organizations across multiple industries and present an enormous opportunity to make organizations more agile, more efficient and more competitive. In order to capture that opportunity, organizations require a modern Information Management architecture.
IBM is unique in having developed an enterprise class big data and analytics platform – Watson Foundations - that allows you to address the full spectrum of big data business challenges. Information management is key to that platform helping organizations discover fresh insights, operate in a timely fashion and establish trust to act with confidence.
Is your architecture big data ready?
IBM solves this challenge with a zone architecture optimized for big data. The next generation architecture for big data and analytics delivers new business insights while significantly reducing storage and maintenance costs.
The information management big data and analytics capabilities include :
- Data Management & Warehouse: Gain industry-leading database performance across multiple workloads while lowering administration, storage, development and server costs; Realize extreme speed with capabilities optimized for analytics workloads such as deep analytics, and benefit from workload-optimized systems that can be up and running in hours.
- Hadoop System: Bring the power of Apache Hadoop to the enterprise with application accelerators, analytics, visualization, development tools, performance and security features.
- Stream Computing: Efficiently deliver real-time analytic processing on constantly changing data in motion and enable descriptive and predictive analytics to support real-time decisions. Capture and analyze all data, all the time, just in time. With stream computing, store less, analyze more and make better decisions faster.
- Content Management: Enable comprehensive content lifecycle and document management with cost-effective control of existing and new types of content with scale, security and stability.
- Information Integration & Governance: Build confidence in big data with the ability to integrate, understand, manage and govern data appropriately across its lifecycle.
Gain a strategic advantage over your competition, with IBM’s platform for big data and analytics.
- Learn more about IBM’s portfolio of products for the big data and analytics platform
- Learn how big data is put into action
The FOUR V’s of Big Data
IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity. This infographic explains and gives examples of each.
The top five ways to get started with big data
Learn how to determine which of the five can be your first step into big data.
Understanding big data beyond the hype
Stay on top of all the changes including, Hadoop-based analytics, streaming analytics, warehousing (including BigSQL), data asset discovery, integration, and governance
Harness the Power of Big Data: The IBM Big Data Platform
Become well versed in big data and its use, learn the criteria that should be applied to choosing a platform, and obtain the knowledge and confidence to build a big data strategy.
The Forrester Wave™: Big Data Streaming Analytics Platform
Read report to understand why IBM was named a leader in big data streaming analytics platforms and why InfoSphere Streams received the highest score possible in the implementation support and ability to execute categories.
Big Data Confidence
Are you confident in the data you want to analyze?
Analytics: The Real-world Use of Big Data
A new study, by IBM’s Institute for Business Value (IBV) and the University of Oxford, details how real-world enterprises are using big data.
Join the big data conversation
Big data discussions, idea sharing, direct interactions with big data experts, and more happening all day, every day.