The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. Data engineers need to have a solid understanding of commonly used scripting languages and are expected to support the steady evolution of improved Data Quality, […]
2021: Three Game-Changing Data Modeling Perspectives
Click to learn more about author Thomas Frisendal. Common wisdom has it that we humans can only focus on three things at a time. So, I had to cut down my January 2021 list of things of importance in Data Modeling in this new, fine year (I hope)! Looking at them from above, as we […]
2020 DATAVERSITY Top 20
With 2020 now behind us, we here at DATAVERSITY are taking a moment to look back on the hits and misses of this unprecedented year. What content did you, our readers, seek out most during challenging times? Which topics helped you succeed as a data professional, and what should we focus more on in 2021 […]
IDERA Demo: Migrating a Database to Snowflake Using ER/Studio
As cloud services gain in popularity, Snowflake has grown into one of the premier platforms for data warehouses in the cloud. Data professionals who design and manage Snowflake data warehouses can use ER/Studio to capture organizational requirements, translate requirements into design, and deploy the design to Snowflake. Join IDERA for a demonstration on how ER/Studio’s […]
Generally Accepted Data Modeling Principles
Click to learn more about author Thomas Frisendal. What can data modelers learn from accountants? Accounting is a solidly established practice that the world cannot live without. One of the established guidelines for accountants is called GAAP (Generally Accepted Accounting Principles in the US), and there are similar international setups. You might guess these standards […]
On the Business Value of a Conceptual Data Policy Definition
Click to learn more about author Daniele Gianni. Concerns on the collection, use, and dissemination of data are central to many enterprises that directly deal with customer data to provide information services. These concerns originated from an increasing awareness of the value of privacy as well as recent government regulations, not only aiming to protect […]
How to Overcome the Challenges of Using a Data Vault
Click to learn more about author Eva Murray. What Are the Challenges? From flexibility to scalability and efficiency, using a data vault as your Data Modeling approach has many benefits. But simultaneously there are challenges that you need to be aware of. In this blog I’m going to walk you through the limitations and how […]
Learning from Complex Data Modeling Practices
Click to learn more about author Thomas Frisendal. Now is a good point in time to look at best practices in database design for SQL databases. Are there things that could have been easier to do if the SQL designers had had absolute foresight? Of course, the answer is yes. But what is most important […]
Knowledge Graphs: A Single Source of Truth for the Enterprise
Click to learn more about author Dr. Jans Aasman. The notion of a “single source of truth” for the enterprise has been the proverbial moving goalpost for generations of CIOs, only to be waylaid by brittle technology and unending legacy systems. Truth-seeking visions rebuffed by technological trends have continuously confounded business units trying to achieve growth […]
Feb 9 DataEd Webinar: Data Management Best Practices
DATE: February 9, 2021 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar It is clear that Data Management best practices exist, and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one design a process […]