Big Data Analytics

Big data insights you can trust

Because of its ever-growing volume and variety, big data is difficult to find, prepare, master, govern, and protect. As the pace of business speeds up and the velocity of data from the Internet of Things increases, organizations are finding it increasingly difficult to capture and process big data in real time. Manual processes for reconciling fragmented, duplicate, inconsistent, inaccurate, and incomplete data, as well as fragmented point solutions, result in dubious data and delayed business insights that can’t be trusted.

A systematic approach to big data management that is cloud-ready from day one enables you to quickly and repeatably get more business value from more big data without more risk.

Cloud-ready integration of big data from diverse sources

Informatica enables data management professionals to maximize the value of their investments in Hadoop by integrating more data. Informatica’s library of hundreds of prebuilt connectors, simplified stream processing on top of open-source and proprietary streaming engines, as well as out-of-the-box connectivity to cloud databases, cloud data stores, and cloud applications enables you to integrate nearly any data anywhere. Support for Tableau Data Extracts and a hub-based publish/subscribe architecture also let you repeatably deliver more data faster to more data targets.

Big data quality, mastering, security, and governance 

Machine learning enables discovery of data and relationships that would be challenging and time-consuming otherwise. Graph-based real-time matching and linking of big data accelerates and perfects how you master and discover relationships across all business-critical data. Multi-persona interfaces and rule builders lets data analysts, data stewards, and other business users effectively and efficiently collaborate. A risk-centric approach classifies sensitive data and proactively detects threats of unauthorized access or proliferation. A self-service data preparation interface features built-in data lineage, enterprise-wide data asset discovery, and smart data set recommendations, so the right people get the right data at the right time.