Blaze Architecture and Troubleshooting in Informatica BDM

The Informatica Global Customer Support Team is excited to announce an all-new technical webinar and demo series – Meet the Experts, in partnership with our technical product experts and Product management. These technical sessions are designed to encourage interaction and knowledge gathering around some of our latest innovations and capabilities across Data Integration, Data Quality, Big Data and so on. In these sessions, we will strive to provide you with as many technical details as possible, including new features and functionalities, and where relevant, show you a demo or product walk-through as well.
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Spotlight

OTHER ON-DEMAND WEBINARS

Global Data Management in the Cloud

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Organizations that operate worldwide typically need to manage data both locally and globally. Local business units and subsidiaries must address region-specific data and accounting standards, regulations, customer requirements, and market drivers. At the same time, corporate headquarters must share data broadly and maintain a complete view of performance for the entire enterprise. For many global firms, data is the business. They need state-of-the-art data management just to remain innovative and competitive. Hence, multinational businesses face a long list of new business and technical requirements for modern data management.
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Modern Data Analytics: 7 Ways to Accelerate Business Insights

If there is anything that current events prove, it’s that analytics based on the quick delivery of up-to-date, trustworthy data is critical. But getting the right insight precisely when you need it demands more than a pretty visualization.
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Cloud Data Strategies for Mission-Critical, Distributed Applications

When organizations need to move quickly to launch new, digitally transformed applications that rely on terabytes (if not petabytes) of data, they cannot afford to wait for legacy database management systems to catch up. Cloud computing platforms give organizations the ability to stand up systems quickly, but if the data layer cannot offer the linear scalability, low latency, high availability, performance, fault tolerance, security, and agility needed for today’s 24/7 applications, organizations will never realize their objectives.
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How to Gauge Project Feasibility with Rapid Prototyping using Code-First Data Science

Data scientists’ time is valuable. Computing resources are expensive. With only 87% of projects ever making it to production (Source: VentureBeat), organizations often overcommit to costly projects that bear little fruit. Data science teams need a way to assess project feasibility without diving head first.
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