UPDATED 14:28 EST / DECEMBER 07 2018

CLOUD

Getting to the ‘magic moment’ by converting raw data into useful information

The role of big data is constantly evolving. While it’s quite simple today to generate vast amounts of data and release it into a cloud, it’s up to businesses like Informatica LLC to help customers parse and define the data before it can be of any real use. Informatica has discovered that its processes double every six months, and it is handling trillions of records going through its cloud each month.

“This is our role, and it actually complements really … nicely the real changes that are happening with the storage, with analytics, analytics and scale, and definitely with the rise of AI,” said Ronen Schwartz (pictured), senior vice president and general manager of data and cloud integration at Informatica LLC. “People are not just looking backwards into what the data means in the past; they are actually trying to leverage data in order to guess and understand what will happen going forward.”

Schwartz spoke with John Furrier (@furrier), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, and guest host Lauren Cooney (@lcooney), founder and chief executive officer of Spark Labs Consulting LLC, during AWS re:Invent in Las Vegas. They discussed their new data catalog, as well as how big data is working to help find a cure for cancer. (* Disclosure below.)

Helping clients get better data results

Since Informatica views its future as enterprise data management, they recently partnered with Amazon Web Services Inc. and Tableau Software Inc. to provide an Enterprise Data Catalog offering to support next-generation analytics. As part of helping organizations modernize the way they look at and work with data, this data catalog provides best-of-breed integration, as well as a modern data warehouse in the cloud from AWS, according to Schwartz.

“Informatica is helping the customer [by] identifying the data, discovering the right data, all the way into improving the data with data quality, with normalization, etc., all the way to the place that the data is ready to be investigated, to become information,” Schwartz explained.

One of Schwartz’ favorite examples deals with the case of medical innovation. As a human, a single doctor can only remember a few data points about each of his or her patients over the years. That small amount of data is rarely useful for, say, discovering a cure for cancer, Schwartz pointed out. Informatica has been working with the MD Anderson Cancer Center at the University of Texas to parse huge amounts of data from numerous patients and doctors, helping to accelerate a personalized approach to patient medicine, as well as treatments.

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of AWS reInvent. (* Disclosure: Informatica LLC sponsored this segment of theCUBE. Neither Informatica nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.

Photo: SiliconANGLE

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