Tag "Data Management"
Absolutely nobody disputes the potential value of big data. It provides an economic way to ask new analytics questions that we were never able to ask before. And that is possible because we are able to combine new, large, and widely disparate data sets in ways that were never economically possible before. The challenge people are now facing is that it getting harder and harder to show business value.
In Part 1 of this series, we began with the roots of Metadata Management. In this post, we look at the need to have an enterprise metadata cataloging solution. Big Data’s close relation to Metadata Management Now is the new era of Big Data. This includes the next-generation capabilities of various areas including machine learning, predictive... more
It is a fact that businesses in every industry worldwide are being disrupted on a daily basis. Often by competitors that are from outside their industry, and as a result, off their competitive radar screens.
CIOs will have to master of both the business innovation and technology dimensions of digital transformation to be successful Building a solid data management foundation is essential.
“Kicking the can down the road” approaches to data management may enable organizations to meet deadlines, but they need to understand that they will leave these organizations poorly prepared for the digital transformation that is sweeping through virtually every industry.
I am excited to share with you that Informatica won the Tableau 2016 Global Technology Partner of the Year award. During Tableau’s annual Partner Leadership Summit which was held in Jan 23-25 in Seattle, Washington , Tableau recognized Informatica as its 2016 Global Technology Partner of the Year. Tableau’s Partner Awards recognize excellent performance and... more
This is Part 1 of a series on the Next Generation of Metadata Solutions. In this post, we begin with the roots – The need to revamp existing metadata management solutions. History Metadata Management originated in the late 80s and early 90s, when Data Warehousing was sowing its roots. Businesses had expanded their definitions for... more
The organizations that will prosper in this environment will be those to design a data management architecture that can handle all of these different use case and evolve with the needs of the organization. And, it will be critical to increase productivity and self-service of data delivery to fuel new applications and analytics initiatives.
It’s great to have a vision and strategy for digital transformation, but if you want to be one of the leaders in differentiating your products and services you’re going to need the support of a robust data management platform and architecture.
First of all, what is GDPR? GDPR is the European Union’s General Data Protection Regulation, which supersedes the 1995 Data Privacy Protection guideline. It is the Nuclear Option for the citizenry when its data is being used by non-authorized entities against their explicit wishes. As a consequence; automatic, vague opt-ins checked based on hyperlinks to... more