The success of Big Data Analytics is limited by the difficulty of accessing siled data and by the traditional IT approach of gathering requirements, designing and building extracts to transform data into valuable data assets. As IT organizations lag behind in handling business requests, business analysts and data scientists are looking for alternative methods to discover relevant data, share data with colleagues across divisions or regions, and prepare data assets for actionable insights.

During this deep dive, you'll have the opportunity to learn about the new features of Informatica Big Data Management 10.1 and Informatica's newest innovation, Intelligent Data Lake, which enables you to leverage self-service efficiencies for business analysts and data scientists through semantic search, data discovery, and data -integrate research. preparation for interactive analysis during data asset management.

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