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data-lake
  • 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.

  • 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.

  • Marketing Data Quality: Four Roles, One Goal

    Legendary business management guru Peter Drucker once said: “No decision has been made unless carrying it out in specific steps has become someone's work assignment and responsibility.” The marketing operations function must step up and claim ownership of data management by making a member of the team specifically responsible for data quality control. Once this step is taken, the rest of the hierarchy can be built, as well as the processes and metrics that will drive it in the future. Otherwise, be prepared to continue facing the same issue with marketing data management that has plagued it over time: It’s everyone’s problem but no one’s responsibility.

  • 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.

  • Cloud Data Lake Management

    Deliver accurate and consistent big data insights you can actually trust to power quicker business decisions.