Topic "Informatica Platform"

Getting Ready for Data 4.0? Take the First Step with Cloud-Native Data Management

We’ve been on an exponential path with data over the last decade. Data 1.0 was when we used data to drive specific business applications. Data 2.0 was the aggregation of data to support enterprise-wide business processes. And in Data 3.0, we used data to power our digital transformation journeys. Today, with increasing demands and the... more

Binge-Watch CLAIREview for Industry Perspectives on Intelligent Data Cataloging and Metadata Management

Over the last few years, the phrase “Data drives all business transformation” has been ubiquitous and probably over-used in different contexts (I plead guilty to that charge as a data and analytics professional). But as we all collectively grapple with personal and professional challenges in the interesting times we are living in now, the importance... more

Informatica’s Intelligent Data Platform Is Blockchain Glue – Delivering Interoperability at Scale!

Co-authored with Arsalan Sheikh, Cloud Integration Sales Specialist. The following story is a fictional account to illustrate issues faced by typical executives. The names of people and companies are made up, but the challenges are real. Lando Jacobs looked out the window from his office on the 32nd floor at the towering skyline of the... more

Some Good (Data) News: Honoring Our 2020 Informatica Innovation Award Recipients

In the spirit of John Krasinski’s feel-good web series, SGN (Some Good News), we’re more excited than ever to celebrate our 2020 Informatica Innovation Award Winners and Honorees! While our celebration may have moved from an in-person reception to virtual, the mission remains the same: to recognize our customers’ successes as they leverage Informatica solutions... more

7 Habits of Highly Effective Artificial Intelligence (AI) and Machine Learning (ML) Prototypers

Modern machine learning (ML) practitioners are accustomed to living the agile way: building success incrementally, failing quickly, and going through that “feature extraction > feature selection > modelling > evaluation” loop many, many times. A successful ML solution isn’t luck: it’s all about taking a small step, learning as much as possible from it, and... more

110 Success Stories Showcasing Data-Driven Innovation

If you’ve been following my blog, I bet you’re catching onto a common theme:  I love to discover and brag about our amazing customers and share their stories! For more than 25 years, we’ve seen how over 9,500 customers deliver data-driven innovation to their organizations. Their initiatives range from next-generation analytics (most recently through cloud... more

Data Processing Engines Part 2: Pushing the Pedal to the Metal With Pushdown Optimization

In the previous blog, we discussed how data processing engines are central to a data platform.   In this blog, we’ll dive into the characteristics of pushdown optimization.   If you’ve read the data engine blog series, so far, we described working with abstract definition of a data pipeline.  That is, once the data pipeline is... more