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Upcoming Webinars

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…

Jul 29 Demo Day - Data Governance Tools

DATE: July 29, 2020 TIME: 11 AM - 3 PM Eastern / 8 AM - 12 PM Pacific PRICE: Free to all attendees Welcome to DATAVERSITY’s newest education opportunity, Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives…

Latest Blogs by Industry Experts

DevFinOps: Why Finance Needs to be Integrated with Development and Operations

Click to learn more about author Jay Chapel. The formation of DevOps brought together two distinct worlds, causing a shift in IT culture that can only be made better (and more cost-effective) by the integration of financial strategy. Enter DevFinOps. We say this partially in jest… yeah, we know, you’ve had enough of the Dev-blank-blank mashups. But really, this is something that we’ve been preaching about since the start of…

Navigating the Second Half of 2020 Requires Acute Focus on CRM Data

Click to learn more about author Olivia Hinkle. Today, marketers might feel compelled to push harder. That’s what tends to happen when a jolt to the economy mixes with a strong concern for the sustainability of a business. So, it’s not a coincidence your inbox is being flooded with messages from businesses you haven’t connected with in months — or even years.  As marketers settle into the new normal, we’ll…

The Four Must-Haves to Achieve Continuous Delivery

Click to learn more about Dave Karow. There are a variety of ways that teams implement continuous delivery. However, when you start to analyze them, you begin to see some themes emerge. While there is definitely more than one way to succeed with continuous delivery, there are four principles that seem to appear in every team’s process. Reducing Batch Size Every continuous delivery team places a high importance on reducing…

Case Studies

What is...?

What is a Data Architect?

A data architect provides clear specifications, models, and definitions, translating a business’ Data Strategy…

What is Data Architecture?

According to the Data Management Body of Knowledge (DMBOK), Data Architecture “includes specifications used to describe…

What is Data Modeling?

Data Modeling refers to the practice of documenting software and business system design. The…

What is Metadata?

Metadata is information about the data collected. According to the Data Management Body of…

Most Recent Articles

Advances in Data Architecture

The continuous growth of data has led to large corporations investing heavily in technologies around large data volumes, allowing them to gain useful business intelligence that was unavailable to their smaller competitors. The evolution of public clouds has made big data technologies accessible to small businesses and startups. By using new advances in Data Architecture, they can now reap the same benefits as their larger competitors, gaining insights and supporting…

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…

Latest Industry News

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