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Upcoming Webinars

Jan 29 Webinar: Improving Transactional Applications with Analytics

DATE: January 29, 2019 TIME: 2 PM Easter / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Today, most web and mobile applications are limited to "lightweight" analytics because general-purpose databases can be optimized for transactional or analytical workloads, but not both…

Jan 31 Webinar: Top 7 Capabilities for Next-Gen Master Data Management

DATE: January 31, 2019 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar sponsored by: About the Webinar This session will discuss how the master data management platforms are evolving to meet needs of digital economy. A modern master data management platform incorporates graph…

Latest Blogs by Industry Experts

Data Virtualization and ETL: Friends or Enemies?

Click to learn more about author Ibrahim Surani. Traditionally, companies have relied on the use of Extract, Transform, Load (ETL) solutions to gather data from disparate sources and populate a data warehouse. However, increasingly complex IT infrastructures of businesses and the need to acquire near real-time or real-time data for accurate decision-making have compelled businesses to look for new data integration solutions that involve less developer overhead and can accelerate…

The Data Blackhole – and How You Can Avoid Falling in it

Click to learn more about author Mathias Golombek. Based on a study of two major European markets, the UK and Germany, IT and business decision makers revealed how they made of use of their data and how to avoid the data blackhole. If anyone asked you to do a complete audit of all of your organization’s data, you’d probably break out in a cold sweat. And for good reason –…

2019: Full Scale Schema Modeling

Click to learn more about author Thomas Frisendal. Using Concerns to Navigate Data Architectures Welcome to 2019! This is the year that offers us a unique opportunity to re-architect the way we think schemas, data models and Data Architecture. We do indeed need to do some things better. The real world is full of concerns, some of which are more or less contradictory. One good example is the schema life…

Case Studies

What is...?

What is Data Quality?

Data Quality (DQ) as stated in the DAMA International, Data Management Book of Knowledge…

What is Data Stewardship?

Data Stewardship is: “The most common label to describe accountability and responsibility for data…

Most Recent Articles

Data Governance Trends in 2019

In October 2018, DATAVERSITY® released the report Trends in Data Governance and Data Stewardship, which was based on an online survey that garnered responses primarily from Information and Data Governance specialists, Data and Information Architects, and Business Intelligence and Analytics professionals. Findings from the survey revealed, among other things, that there’s still a lack of maturity in these areas, that there remains a dissatisfaction with the quality of business data,…

Data Scientist vs. Data Engineer

The Background of Data Science Roles It was thought that the year 2018 would create a huge demand-supply gap in the Data Science market as supply would fail to keep pace with the rising demand for expert Data Scientists. However, the recent buzz from Gartner, which says more than 40 percent of Data Science tasks will be automated by 2020, changed all that. Boris Gorelik, an experienced Data Scientist, expresses…

Kubernetes Fundamentals: Facilitating Cloud Deployment and Container Simplicity

Kubernetes (sometimes abbreviated to “kube”) is open-sourced, was originally developed by Google, and organizes containers into logical units for transport and use in the cloud. Containers support the construction of self-contained environments capable of transporting data, and the software supporting it. Containers are, ultimately, a way to package software and other application components. It is predictable, repeatable, and there are no surprises when the container is moved to a new…

The Data Hub Brings Opportunities for Data Orchestration

The massive proliferation of data volumes has created an important opportunity for business insight and data-informed decision-making, but many companies struggle with getting the value out of all that data. “While data is the new gold, and we are currently experiencing a data-driven ‘gold rush,’ enterprises are still struggling to manage data from multiple sources,” said Franz Faerber, Executive VP, Products & Innovation, at SAP, in an article entitled, Tackling…

Data Architecture with Data Governance: A Proactive Approach

“Data Architecture is the physical implementation of the Business Strategy,” said Nigel Turner, Principal Consultant in E.M.E.A. at Global Data Strategy, Ltd., speaking at the DATAVERSITY® Enterprise Data Governance Online Conference. “It’s a key part of the whole continuum that you need to build within an organization to manage data effectively,” and Data Governance forms an important bridge between those strategies and the real-world implementation of them in the business.…

The Semantic Knowledge Graph: A Tribute

Noam Chomsky, the philosopher, cognitive scientist, historian, social critic, and father of modern linguistics, has authored over 1,000 articles and 130 books. The 89-year-old intellectual also has written films and appeared in many documentaries. The substantial work he has done in linguistics and politics has earned him the title of “most cited living author.” Now his work is the subject of the Noam Chomsky Knowledge Graph, the first Semantic Knowledge…

Latest Industry News

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