February 8, 2012 – 9:40 am
Informatica Data Replication has triggered a lot of interest and also a lot of questions about why replication is seeing such a resurgence in the market today. The answer is simple: the same conditions that caused its creation for mission-critical operational systems back in the early 1990′s are now happening with data warehousing as well.
September 30, 2011 – 12:28 am
Informatica supports Agile Data Integration for Agile BI with best practices that encourage good data governance, facilitate business-IT collaboration, promote reuse & flexibility through data virtualization, and enable rapid prototyping and test-driven development. Organizations that want to successfully adopt Agile Data Integration should standardize on the following best practices and leverage Informatica 9.1 to streamline [...]
By John Haddad
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Posted in Data Governance, Data Integration, Data masking, Informatica 9.1, Master Data Management
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Also tagged business and IT collaboration, Compliance, data profiling, data subsetting, Data Virtualization, Lean Integration, multi-domain MDM, Self Service, validation
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Businesses can no longer afford IT to be a bottleneck in delivering authoritative and trustworthy information to the business. The business needs to be empowered to do more on their own through self-service. Self-service is the approach retail companies took years ago to eliminate wait times, reduce resource costs, and improve customer satisfaction. Consumers use [...]
By John Haddad
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Posted in Big Data, Data Governance, Data Quality, Informatica 9.1
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Also tagged analyst, authoritative and trustworthy, Data Governance, Data Quality, logic, mapping, Metadata, Self Service
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The speed of innovation is accelerating as the state of mind and culture of technology users and vendors are shifting toward openness and collaboration. Dr. Eric Von Hippel from Massachusetts Institute of Technology put it this way in “Democratizing Innovation”: “When I say that innovation is being democratized, I mean that users of products and [...]
In his acclaimed book, Data Warehousing Lifecycle Toolkit, Dr. Ralph Kimball asserts that, Metadata is the DNA of the data warehouse, defining its elements and how they work together… Metadata provides parameters and information that allow the applications to perform their tasks – a set of control information about the warehouse, its contents, the source [...]
