Confidence in big data for analytics
Are you delivering trusted information to your data warehouse? In the era of big data, you need quality data in your warehouse that is secure and trusted. IBM InfoSphere solutions can deliver clean, consistent and timely information for your big data projects and applications, data warehouses or initiatives involving Hadoop.
IBM InfoSphere offers:
University of Arizona
The University of Arizona continuously populates its data warehouse and provides secure data access 90% faster than before. For an administrator setting the salary level for a new employee, for a financial expert planning for the growing student population, and for other managers, administrators and deans, rapid access to information facilitates smart decisions.
Why Enterprises Need Trustworthy Data
Learn from this TDWI paper how right-sized information governance can improve the success of data warehousing or big data analytics initiatives, and how a chief data officer can help organizations to appreciate the value of data and its importance to their decisions and operations
Creating a trusted data warehouse using IBM InfoSphere Information Server
You can follow this recipe to create a new warehouse, driven by the needs of the business and developed through collaboration between business and technical teams.
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Building a Trusted Data Warehouse
IBM InfoSphere® data integration software and the IBM PureData™ System for Analytics (the next generation Netezza® data warehouse appliance) work together to deliver breakthrough analytics based on trusted information.
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Delivering trusted information for the modern data warehouse
Make information integration and governance a best practice in the big data era
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