Cloud-based applications generate data every microsecond. Ignoring this data could have serious implications for your business. But many organizations struggle to ingest their application data into cloud data warehouses and lakes, hindering their ability to make rapid, data-driven business decisions. What's needed is a code-free approach to data ingestion and synchronization that can help you: Build data ingestion jobs in minutes with a simple...

Enterprise customers rely upon Microsoft Azure as the foundation for cloud data warehousing, data lakes, self-service analytics, and AI initiatives. But to get real value, the data that powers them must be understood and trusted. Faulty data drives incomplete or incorrect results; unified data governance establishes trust. The first step to a unified data governance strategy is to empower your data science and analytics teams with key capabili...

Combining all your data from disparate sources is the first step toward turning it into business value. Whether you’re new to data integration or refreshing your understanding, “Back to Basics Webinars: Data Integration” will clarify what it is, why it’s critical to analytics and business initiatives, and how it’s evolving with changing business requirements, technologies, and frameworks. In this episode, learn ho...

As more applications and workloads move to the cloud, companies increasingly need cloud-first, cloud-native data governance—not just for regulatory compliance, but to support and accelerate data analytics. This four-part webinar series explains how Informatica enables cloud analytics governance in four steps. In the final step of this series, see how to make data easy for all users to source and access, whatever their data literacy and a...

As more applications and workloads move to the cloud, companies increasingly need cloud-first, cloud-native data governance—not just for regulatory compliance, but to support and accelerate data analytics. This four-part webinar series explains how Informatica enables cloud analytics governance in four steps. In the third step of this series, you will understand how data is being used and establish how it should be used: Link glossary co...

Data democratization, analytics, and AI initiatives depend heavily on the quality and veracity of the underlying data. Learn how to streamline discovery, curation, and profiling on Databricks, including deep metadata and data lineage, with comprehensive support for Spark SQL methods and more. This webinar will show you how to simplify and speed data discovery, curation, and lineage on Databricks: Using EDC Advanced Scanner for Databricks Noteb...

Master data management (MDM) is key to managing all the critical data that drives your analytics efforts and digital modernization initiatives. To ensure your success with it, you need to understand what MDM is, why it matters, and how to get the most value from it. PIM allows organizations achieve significant business outcomes in terms of operational efficiencies, digital commerce, higher responsiveness to market needs, compliance and much mo...

As more applications and workloads move to the cloud, companies increasingly need cloud-first, cloud-native data governance—not just for regulatory compliance, but to support and accelerate data analytics. This four-part webinar series explains how Informatica enables cloud analytics governance in four steps. In Step 1 of this series, you will learn technical tips for understanding what and where your data is: Prioritize systems to scan...

The role of quality data has become very critical for the success of organizations’ digital transformation efforts. However, true value can only be derived after the raw data has been sorted, processed and analyzed without increasing infrastructure costs. Organizations are looking to drive agility and maximize the potential of their digital transformation initiative(s) by building new systems or modernizing consolidating existing on-prem...

Learn how to safeguard your cloud data warehouse and lake modernization initiatives against cost overruns, resource constraints, and technology and implementation complexity that slow your time to value and ROI. “How to Avoid Cost Overruns in Cloud Data Management” explores how an intelligent cloud-native data management platform is key to managing data more simply and productively at scale. Hear from Ventana Research and Informati...