Informatica is continually innovating to deliver more value for our customers. In this session our data governance and quality product experts will share the technical details of our latest capabilities and answer your questions about how you can benefit. We will also share what’s coming next, so you can better plan your implementation. Whether you’re just starting out or looking to scale your data governance and quality journey don’t miss this opportunity to learn how we can help.
Analysts spend almost 80% of their time deciphering, understanding and preparing data. So how can we improve this 80/20 ratio by using a combination of AI, human knowledge and enterprise scale and connectivity to access shared contextual data knowledge that is often siloed across institutions?
Organizations all over the world are looking for ways to optimize and automate the management of data. Reference data management provides a unique opportunity for these organizations. It helps them solve many data challenges surrounding reporting, compliance with regulations, and data strategy initiatives such as master data management, data warehouse modernization, and more.
Enterprises are rapidly adopting cloud and investing in SaaS, PaaS, and IaaS. You need a comprehensive next-gen integration platform as a service (iPaaS) solution to manage expanding data management use cases for multi-cloud and hybrid architectures.
Watch a deep dive on capabilities of the new Informatica Big Data cloud services: Integration at Scale and Streaming Ingestion.
Watch a deep dive on capabilities of the new Informatica Big Data cloud services: Integration at Scale and Streaming Ingestion.
As Railinc modernizes its data infrastructure, critical data has become distributed across Oracle, data lake and tools like SAS, and business users have been challenged to find and understand the data they need. Railinc embarked on a major effort across business & IT to address this problem by cataloging all data assets and adding business context to the data to enable easy search and discovery. Confidence in the data was improved through visibility into how datasets were created and business descriptions and tags that added business context, along with a focused/phased approach to drive business user adoption. Railinc will share valuable lessons and best practices related to both: (1) deployment and scaling; (2) driving business user adoption.
Building a Strong Office of the CDO with Juan Tello, Chief Data Officer, Deloitte and Juan Riojas, Chief Data Officer, Informatica
Companies are having to address a growing number of data privacy and protection regulations. Instead of approaching each one as a separate “project,” it’s time to take an enterprise data privacy program approach that can be used across regulations. In this webinar we will discuss a six-step framework that can help you create a foundation for enterprise data privacy. Learn how this framework can help you capitalize on the learnings from each specific regulation project, to speed implementation, reduce costs, and increase compliance.
Cloud data warehousing is no longer a new concept, it’s now on the fast track. Enterprises increasingly deploy cloud data warehouses as a fundamental part of their data infrastructure. It is not a matter of if you should take advantage of cloud data warehousing. It's a matter of how.
Cloud data warehousing provides on-demand, unlimited capacity for analytics, but how do you get from your rigid, expensive on-premises enterprise data warehouse to Azure SQL Data Warehouse (DW)?
Join an instructor-led, hands-on workshop and achieve analytics agility and scale with cloud data warehousing with Azure SQL DW. Using Informatica Enterprise Data Catalog and Intelligent Cloud Services (iPaaS), you can accelerate the migration of on-premises enterprise data warehouse (EDW) workloads to Azure
