Simplify and speed data discovery, curation, profiling, and lineage on Snowflake Data Cloud with a solution that provides full data visibility, automated data lineage, and tracking of data movement across your data landscape. In this webinar, experts from Informatica, Snowflake, and Thrivent will discuss best practices for streamlining data discovery and lineage on Snowflake Data Cloud: Achieve full data visibility Automate data lineage Track...

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...

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. Managing your supplier relationships across your supply chain is critical to business success and allows for proactive response to changing trends, market volatility, and other dis...

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...

In “Back to Basics - Data Quality for Data Integration,” you’ll explore a more efficient solution than repeatedly rewriting your data quality rules: incorporating data quality processes into your data pipelines. You will learn how to use Informatica Cloud Data Quality (CDQ) to: Identify and fix data quality problems in business applications Create rules to cleanse and standardize, verify, and deduplicate data Continuously mon...

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...

Around the world, laws governing the privacy of personal data continue to evolve. It’s more important than ever for your business to keep up with these changes to optimize the business value of your data. Join us for “Accelerating Data Privacy & Ethics Compliance with Informatica & Deloitte” to learn how to reduce the costs and risks of using personal data and analytics. In this Meet the Experts webinar, you will lear...

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...