Category: Data Catalog

Category: Data Catalog
Informatica World 2016: Digital Disruption Demands Data Centricity

Data Powers Business Informatica World 2016, being held in Moscone West, San Francisco on May 23 -26, is the launching pad for Informatica’s “Next-Gen Data Architecture.” The conference theme is “Data Powers Business”, a response to the evolving data-centric landscape in which data intelligence and customer experience are driving business and technology decisions. At IW … Continue reading “Informatica World 2016: Digital Disruption Demands Data Centricity”

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Six Recommendations for a Hybrid Approach to the Data Stack

A linear or non-linear data stack? The answer to this question is straightforward within the context of quantitative disciplines like mathematics in which “linear” and “non-linear” are well defined and differentiated. The answer is less obvious in reference to data management and analysis. The industry acknowledges that a traditional, strictly linear IT-centric approach is ineffective … Continue reading “Six Recommendations for a Hybrid Approach to the Data Stack”

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What differentiates Informatica’s Intelligent Data Lake platform?

Three reasons why you should be impressed with Informatica’s Intelligent Data Lake platform:  Cohesiveness, Cohesiveness, and Cohesiveness! Informatica raises the bar While other leading Data Integration vendors advertise a broad portfolio of products that might include Master Data Management, Self-service Data Preparation and Big Data Integration, Informatica raises the bar by combining the power of … Continue reading “What differentiates Informatica’s Intelligent Data Lake platform?”

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Five important considerations when cataloging your data

Clearly define the objectives of your data catalog(s) such as: Archiving Discovery of data in support of information management and analytics initiatives Digitalization Understanding data lineage Building knowledge and increasing data stewardship Mapping of technical metadata to business metadata in order to facilitate understanding of data Control access to the Data Catalog. A good data … Continue reading “Five important considerations when cataloging your data”

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