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Upcoming Webinars

Jul 14 DataEd Webinar: Data Management vs. Data Strategy

DATE: July 14, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Organizations across most industries make some attempt to utilize Data Management and data strategies. While most organizations have both concepts implemented, they must understand their required interoperability to fully achieve…

Jul 16 RWDG Webinar: Building a Data Governance Roadmap

DATE: July 16, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar A Data Governance roadmap is typically based on the results of a best practice assessment. The assessment defines the outcomes required to achieve Data Governance…

Jul 23 DAS Webinar: Best Practices in Metadata Management

DATE: July 23, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Metadata is hotter than ever, according to a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business…

Latest Blogs by Industry Experts

The Secret Weapon to Business Success: Unstructured Data

Click to learn more about author George Kobakhidze. For those in charge of their company’s cybersecurity efforts, they may stay up at night thinking, “Who is clicking on the most links in emails? Who opens the most phishing emails? Who uses simple passwords?” Amidst the best efforts to educate and build in best data practices throughout the organization, IT teams have no way of knowing who hasn’t followed directions until…

IIoT in Action: Improving Equipment Effectiveness in the Plastics Industry

Click to learn more about author Boris Shiklo. In this piece, we’ll explore how IIoT drives productivity in the plastics industry and provide an example of implementing an IIoT solution for monitoring equipment effectiveness at a plastic parts manufacturing enterprise. Volatile raw material prices, the lack of skilled labor, and the complexity of the global supply chain — these and other issues contribute to a decrease in the plastics segment’s…

Crafting Great Business Definitions: Getting at the Essence of Things

Click to learn more about author Ronald G. Ross. In this first post of a four-part series about crafting great business definitions, I explain what a definition should and should not cover. The key is getting to the essence of the concept you want to define How important can it be to define concepts well? Consider this real example from NATO: What’s the meaning of enemy? The definition could literally be…

Case Studies

What is...?

What is Data Storage?

Data storage describes what type of, where, and how hardware or software holds, deletes,…

What is BASE?

BASE describes database processing germane to a NoSQL database, such as a data lake.…

What is ACID?

ACID properties characterize RDBMS (Relational Database Management System) database processing or a data warehouse.…

Most Recent Articles

Aligning Data Architecture and Data Strategy

Peter Aiken disagrees with the popular idea that it’s impossible to put a dollar value on Data Architecture. “It won't be the right number, but it will be at least a dollar value on it, and if there’s money involved, people should be paying attention to it.”Aiken is an author, an associate professor of Information Systems, a researcher, and the Founding Director of Data Blueprint. He spoke about Data Architecture…

A Brief History of Data Lakes

Data Lakes are consolidated, centralized storage areas for raw, unstructured, semi-structured, and structured data, taken from multiple sources and lacking a predefined schema. Data Lakes have been created to save data that “may have value.” The value of data and the insights that can be gained from it are unknowns and can vary with the questions being asked and the research being done. It should be noted that without a…

Working with Complex Data Models

Complex data models have now become the norm. A single stream of the data can travel through many hubs, and many different technologies. It may travel through the front end, the APIs, the Kafka pub/sub systems, Lambda functions, ETLs, data lakes, data warehouses, and more. Riding within this stream of data is the schema, and each schema also has its own technology-specific terminology and syntax, as well as its own…

So You Want to be a Data Manager?

A Data Manager develops and governs data-oriented systems designed to meet the needs of an organization or research team. Data Management includes accessing, validating, and storing data that is needed for research and day-to-day business operations. Currently, a wide array of organizations are using Big Data to gain insights into customer behavior and to provide Business Intelligence, making a Data Manager a necessity. Data Managers are needed in a variety…

Analytics Best Practices for Transforming Data into a Business Asset

Data has three main functions that provide value to the business: To help in business operations, to help the company stay in compliance and mitigate risk, and to make informed decisions using analytics. “Data can have an impact on your top line as well as your bottom line,” said Dr. Prashanth Southekal, CEO of DBP-Institute in a recent interview with DATAVERSITY®.  “Just capturing, storing, and processing data will not transform…

Building a Productive Organization with Artificial Intelligence

There’s plenty of research on employee productivity, which is key to building a profitable and successful business. Engaged employees are likely to put their heart into their jobs – not just go through the motions. Here are some findings that put this into perspective: Happy workers are 13 percent more productive, according to research by Oxford University.  Highly engaged employees are much more likely to have above-average productivity (38 percent),…

Latest Industry News

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