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Upcoming Webinars

Jul 16 IDERA Webinar: Data Maturity - A Balanced Approach

DATE: July 16, 2019 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This Webinar is Sponsored by: About the Webinar Most organizations need to awaken to a sobering reality: their data maturity level is much lower than they realize. Organizational maturity is a journey requiring…

Jul 18 RWDG Webinar: How to Govern Data Lakes

DATE: July 18, 2019 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This Webinar is Sponsored by: About the Webinar Are you spending your summer down by the Data Lake? If so, then you want to make certain that the lake is clean and that…

Latest Blogs by Industry Experts

The History of Time in Data Models

Click to learn more about author Thomas Frisendal. In my last blogpost Timely Concerns in Data Models, we looked at the basic challenges of dealing with time dependencies in Data Modeling. I promised to continue this quest by going over the history of these issues. How well have we actually solved these challenges? So, hop onboard and enjoy a time travel of our attempts at handling temporality in data models.…

Building out Your DataOps Strategy: The Missing Link from Pipelines to Collaboration

Click to learn more about author Itamar Ankorion. Data is the lifeblood of every business. It is the most valuable asset as it can provide valuable insight into how to drive better business outcome, uncover revenue opportunities and improve customer services. Enterprises are updating their IT infrastructures with modern technologies such as cloud, data lakes and real-time data streaming to empower advanced analytical processes as the speed in which data…

Taking Customer Success Management to the Next Level with Data Analytics

Click to learn more about author Victor DeMarines. The role of the customer success manager is both expanding and transforming and the reason for that shift is ….data. No longer is it enough to simply reduce customer churn. The best customer success managers or customer success data analysts – whatever their actual title may be – are the ones who are able to master customer data measurement and analysis. To be…

Case Studies

What is...?

What is Data Curation?

Data Curation, as defined by The University of Illinois’ Graduate School of Library and…

What is Ontology?

Ontology is often considered a subset of taxonomy. An ontology: Is a domain; contains…

What is Taxonomy?

Taxonomy represents the formal structure of classes or types of objects within a domain.…

Most Recent Articles

What Matters Most with Data Governance and Analytics in the Cloud?

The axiom goes that the difference between high-performing enterprises and lower-performing businesses is that the former maximizes their data and the latter doesn’t. But most businesses probably still live somewhere between those two worlds. That means a lot of companies are still working hard to get to the next level for IT-supported business initiatives including increasing operational and/or workforce efficiency, improving customer experiences, reducing costs, and improving access to data…

Case Study: Department of the Interior Lays Out Steps for Metadata Implementation

After the U.S. Office of Management and Governance issued the Open Data Policy, federal agencies set to the task of developing Enterprise Data Inventories to support a mandate of government transparency. The Department of the Interior (DOI) took this opportunity to create and implement a Metadata Management framework using an enterprise approach, properly documenting data for the greater understanding of it. Some 90,000 employees reside across ten bureaus and eight…

The Next Level of Data Governance, Machine Learning, and Data Science

The term, machine learning dates back to a 1959 article by Arthur Samuel, in which he posited: “Programming computers to learn from experience should eventually eliminate the need for much of this detailed programming effort.”  The hope was that data alone could be used to develop models, rather than relying on fixed rules or theory.  Aurélien Géron highlighted this in 2017, stating “Machine learning is the science (and art) of…

Big Data Ecosystem Updates: Machine Learning, Deep Learning, and the Edge

One of the recent stories within the Big Data ecosystem is that Cisco is joining the AI Hardware frame with a new deep learning server powered by eight GPUs. Cisco is promising support within its AI push for Kubeflow, “which is an open source tool that makes TensorFlow compatible with the Kubernetes container orchestration engine,” said James Kobielus, the Lead Analyst at Wikibon, in a recent DATAVERSITY® interview. TensorFlow acts…

The Challenges of Data Quality

The Data Quality and Data Management market is going through a paradigm shift where the focus has turned to the business user. Historically, business users have been at the mercy of over-burdened IT departments with limited resources, but IT is not to blame. Even with the simplest query, the answer used to be “It'll be six weeks before we can give you that.” But, in the new world of self-service…

So You Want to be a Cloud Engineer?

It has been predicted that “cloud engineer” will be among the top ten in-demand IT jobs in 2020. There is currently a great need for cloud engineers, primarily because a significant number of organizations are moving their business processes to the cloud. As more organizations shift to cloud data storage, the demand for cloud engineers continues to grow. Hybrid cloud combinations (a mix of private and public cloud storage) require…

Latest Industry News

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