• Ponemon - Data Breaches and Sensitive Data Risk Executive Summary

  Informatica and Scale Venture - Data Breaches and Sensitive Data Risk Executive Summary

• Big Data for the Telecommunications Industry

  Minimize Data Cost, Maximize Data Value

• Informatica Big Data Security

  By evaluating sensitive data’s location, protection, volume, proliferation, use, and value, organizations can create a risk-based view to help prioritize security investments and focus their data protection resources and processes.

• Data Fusion for Cyber Intelligence

  Mapping Cyber Indicators for Data Analysis, Protection, and Sharing

• Data Integration for the U.S. Intelligence Community

  How to Transform Data Into Actionable Intelligence

• Blaze Data Management Engine

  Informatica's Blaze is the industry’s unique data processing engine integrated with YARN to provide intelligent data pipelining, job partitioning, job recovery, and scaling, which is optimized to deliver high performance data processing leveraging Informatica’s propriety cluster awaredata integration technology.

• Is Your Data Application-Ready? Successful Application Go-Lives

  Successful application data integration revolves around effective data quality and data integration tools

• The State of Data Security Intelligence

  Why are we so vulnerable? Data security and privacy challenge organizations. Billions have been spent on security software and hardware; but only 6% of organizations know where all the sensitive data resides. With the inevitability of a data breach, internal or external, organizations need to focus on understanding and protecting their sensitive data.

• The Business Value of Data Replication for Operational Business Intelligence

  Data Replication Delivers the Freshest Data so You Can Make the Best Decisions

• Data Replication for Operational Reporting

  Data replication is increasingly helping businesses access current operational data in their reporting environments

• How to Avoid the Top 5 Big Data Challenges

  Sr. Director of Big Data Product Marketing John Haddad blogged in July 2014 about his take on the top five big data challenges organizations face today and offered strategies to solve them. This brief is based on those blog posts.

• Informatica Enterprise Data Lake Executive Brief

  Informatica Enterprise Data Lake provides the gold standard in data management solutions.

• OPTIMIZE YOUR ENTERPRISE: FUEL YOUR GROWTH WITH DATA IN THE CLOUD

  Dun & Bradstreet interviews Ray Wang from Constellation Research and Juan Carlos Soto, SVP and GM of Cloud Data Integration at Informatica, to talk about data as a service (DaaS).

• 3 Risks to Migrating to a Data Warehouse Appliance and How to Avoid Them

  Move to a Data Warehouse Appliance Without Disrupting Your Business

• Intelligent Data Lake Management

  Deliver Accurate and Consistent Big Data Insights You Can Trust

• Informatica Data Replication

  How to Synchronize Operational Data in Real Time Across a Heterogeneous Environment

• Accelerate Modernization With a Hybrid Data Integration Hub

  Overcoming the challenges of modernizing analytics and applications while adopting cloud and big data

• Is Your Approach to Multidomain Master Data Management Upside-Down?

  Some master data management (MDM) technologies have created a misperception in the market that MDM is designed to solve only a single business problem. This could not be further from the truth. Fundamentally, MDM is designed to solve multiple complex business problems across business units, departments, divisions, and regions—eliminating the need to create a unique MDM solution for each business problem.