You need reliable data to drive reliable decisions in a cloud-centric world. Join Informatica experts to explore the industry’s first cloud-native solution that combines data governance and data catalog capabilities in a unified tool for more efficient, effective data management. “Introducing Informatica Cloud Data Governance and Catalog” is a deep dive and demo of our exciting new offering, especially how this new solution w...

One of the biggest barriers to effective digital transformation is the limited capability of traditional data warehouses. Extremely expensive and resource intensive, traditional data warehouses are unable to manage exponential data growth and new data sources or empower new types of use cases. Organizations are looking at cloud’s unique architecture, which provides elasticity, native support for diverse data, and compelling performance a...

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...

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 Synapse Analytics? Join this virtual leaning lab and achieve analytics agility and scale with cloud data warehousing with Azure Synapse Analytics (formerly Azure SQL Data Warehouse). Using Informatica Enterprise Data Catalog and Intelligent Cloud Services (iPaaS), you can acce...

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...

One of the biggest barriers to effective digital transformation is the limited capability of traditional data warehouses. Extremely expensive and resource intensive, traditional data warehouses are unable to manage exponential data growth and new data sources or empower new types of use cases. Organizations are looking at cloud’s unique architecture, which provides elasticity, native support for diverse data, and compelling performance a...

Can you trust the AI models you’re counting on to fuel your innovation and growth in the cloud? Trusted data feeds trusted AI. But if you're not operationalizing AI with governance, you could feed poor quality data to your models—and wind up making crucial business decisions based on inaccurate results. Only with cloud-native data and analytics governance can you trust your data and AI models—and drive digital transformation....

A multi-cloud/hybrid environment runs on reliable, effective data integration and management. Hand coding and point solutions may seem to be getting the job done – but at what cost? “ROI for Data Integration and Management: Understanding Financial Metrics” shows you how to evaluate and quantify the costs and risks of your current approach and compare them to the benefits of a comprehensive cloud-native data management platfor...

Effective analysis of your customer data can yield timely insights to help you elevate your customers’ experience. However, traditional data warehouses have fallen behind in their capabilities relative to the new cloud options. Modernizing and moving your data warehouse to the cloud can offer improved access to data leading to smarter analytics. If your data is currently on-premises with vendors such as SAP, now may be the right time to...

One of the biggest barriers to effective digital transformation is the limited capability of traditional data warehouses. Extremely expensive and resource intensive, traditional data warehouses are unable to manage exponential data growth and new data sources or empower new types of use cases. Organizations are looking at cloud’s unique architecture, which provides elasticity, native support for diverse data, and compelling performance a...