Tag "Data Lakes"

Driving Resilience and Digital Agility by Modernizing to Azure with Informatica

Our way of doing business will never be the same again. The pandemic has become a catalyst for many companies to accelerate their digital transformation. Enterprises, in our new world, require the digital agility to quickly respond to and recover from dynamic market changes such as 100% digital engagement and remote workforces. They are looking... more

Accelerate Your Cloud Data Warehouse and Data Lake Modernization with Business Continuity and Automation

Informatica Summer Launch Packs Critical Capabilities for Your Cloud Lakehouse Data Management A crisis such as a global pandemic creates an uncertain and highly volatile environment. In conversations with customers, we’re hearing from chief data officers (CDOs), IT executives, and IT and business users that they are assessing conditions, developing immediate response plans, and prioritizing... more

Data Lake and Data Warehouse Modernization in the Cloud – 3 Steps to Avoid Past Mistakes

Realize the Benefits of Cloud with the Three-Pillar Framework Tetris is a fun game that we’ve all played it at some point or the other. As you progress in the game, you make mistakes and learn from them. Then you get better and score higher. It’s the same idea with the cloud data management and... more

MLOps: Operationalize Your Machine Learning Models

Realize the Benefits of AI with the Right Framework In the current economic environment, organizations are focused on KPIs and metrics that matter today and in the near term. They are adopting analytics in the cloud, many by building cloud lakehouses, which blend the best of both worlds in cloud data warehouses and data lakes,... more

Data Lakes and Data Governance Drive Better Decision-Making at Invesco

Has data ever been more important than it is right now? As the world continues to grapple with the scale and impact of COVID-19, we look to data—and more importantly, the analysis of that data—to provide us with some level of understanding. There are data sources from independent labs, healthcare systems, different countries, and all... more

Delivering Cloud-Native, Enterprise-Grade Data Lakehouses on Amazon Web Services

“Water, water everywhere, nor any drop to drink.” This famous line from Samuel Taylor Coleridge’s poem The Rime of the Ancient Mariner is spoken by a sailor on a stranded ship who is surrounded by saltwater that he cannot drink.What does this have to do with a cloud data lakehouse? Simply put, it’s all about... more

Informatica and Snowflake: Successful Digital Transformation at Enterprise Scale

More and more aspects of life and work are becoming digitized. The world has awakened to the value of the massive amounts of data that this new reality generates. Data is arguably the most critical asset across an organization—and companies that leverage it to increase revenue, reduce costs, and gain competitive advantage are the best... more

From Hand Coding to Automated, Intelligent Data Integration – A Year in the Life of a Data Management Team

At a Monday morning scrum meeting, Sam, VP of Data Management, discusses plans to modernize current on-premises data infrastructure to a cloud-based data warehouse and data lake. This IT-led modernization project will achieve scalability, elasticity, agility, and bring it better performance. Part of the project plan includes a data ingestion and processing framework  to process... more

Data Lake Governance, the Data Marketplace, and the Never-Ending Quest to Exceed Data and Analytics Goals

Recently, I read an insightful report from McKinsey and Company titled, “Catch them if you can: How leaders in data and analytics have pulled ahead.” From the title alone, I was hooked. Throughout the world at various data quality and governance centric events, I engage with data governance professionals that struggle with this very idea:... more

Fast and Furious: Designing for the Fast Data Lane: Transporting and Processing Streams

In the earlier post, we discussed the ability for stream processors, such as Informatica VDS, to process events at the edge, in this post we look at how these events are transported to the corporate data center for streaming analytics. As you’re lounging in front of the TV flipping channels you notice a product during... more