Tag "Big Data"

The Rise of Big Data Engineering in 2020: Cloud, AI & Analytics Success

What is data engineering? Data engineering enables data users across the enterprise with clean, quality data they can trust, so they can drive better business insights and actions. Data engineering is the result of technology disruption in what we used to call big data. Overall, the industry is moving toward data management environments that deliver... more

NextGen Operational Insights for Informatica Big Data Management

Informatica is happy to announce the next generation of operational monitoring and analytics for Big Data Management (BDM) on Operational Insights. Operational Insights is a hybrid cloud service to help efficiently operationalize Informatica BDM and/or PowerCenter environments. Operational Insights helps successful implementation of BDM by providing An integrated dashboard to view the health of all... more

Enter The Digital Product Factory

In my last post about Data Monetization I touched upon the concept of a Digital Product Factory. Today, I would like to outline why a factory-style R&D process is a must-have when monetizing your data, no matter in what consumption pattern; data feed, analytics or application. Furthermore, I will highlight how data governance will play... more

Data Monetization: Meaning & Use Cases

Over the course of the last year increasingly more clients have been inquiring with us about the topic of “Data Monetization”. In other words, they wanted to learn more about how Informatica enables their ability to “sell” their existing data from operations instead of just archiving them away or deleting them. As you can imagine,... more

Need a Shopping Experience for Data Assets? An Intelligent Data Catalog is your Best Ally

I am a big fan of online shopping. Whether it is back to school or holiday shopping, I enjoy the shopping experience, flexibility and quick access to goods in the comfort of my home. I can quickly sift through thousands of items, get product details, read consumer recommendations, review alternate options and ultimately make that... more

Informatica Proud to Take Home Two Datanami 2017 Reader’s Choice Awards

A big thank you to everyone who voted for the Datanami 2017 Data Management Cataloging and Prep Reader’s choice awards. We are honored to receive first place recognition in both– the “Big Data Product or Technology: Data Management(Cataloging)” and “Data Management(Prep)” categories. Many of our customers use Informatica’s AI-Powered Data Catalog for a variety of... more

If Going Digital Is All About Change, Why Are We All So Useless At It?

The human psyche is designed for emergency braking. It’s not so good at long-term self-preservation. Humans aren’t great at long-term preservation. As a society, we are prone to procrastinate, go with the status quo and not upset processes. I can feel a few of you getting ready to hit the ‘comment’ button… but before you... 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

Fast and Furious: Designing for the Fast Data Lane Collecting Streams

Switching to the carpool lane can be intimidating especially when you don’t have all the information available to you to safely make the lane change. For example, is the carpool lane open, is my blindspot clear to make the lane change?  How do you efficiently collect bits and pieces of data at the right time... more

Greater Self-Service and Automation with Data Integration Hub 10.2

Getting data-driven digital transformation projects into production quickly requires a modern approach to data integration. Data is increasingly spread across a proliferating number of systems including multiple clouds and big data as well as existing applications and databases. Many companies struggle with digital transformation since they don’t have an organized and agile data backbone to... more