Advertisement

It’s All About Relations!

The new ISO 39075 Graph Query Language Standard is to hit the data streets in late 2023 (?). Then what? If graph databases are standardized pretty soon, what will happen to SQL? They will very likely stay around for a long time. Not simply because legacy SQL has a tremendous inertia, but because relational database paradigms […]

The Data Engineer’s Roadmap

Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. In other words, job security is guaranteed.  But, with such great power comes great responsibility. The journey to becoming a successful data engineer […]

A Primer to Optimizing Your Apache Cassandra Compaction Strategy

When setting up an Apache Cassandra table schema and anticipating how you’ll use the table, it’s a best practice to simultaneously formulate a thoughtful compaction strategy. While a Cassandra table’s compaction strategy can be adjusted after its creation, doing so invites costly cluster performance penalties because Cassandra will need to rewrite all of that table’s data. Taking […]

Say Hello to Graph Normal Form (GNF)

You thought you knew all normal forms? (And possibly also some abnormal …) Well, think again: There is also “graph normal form (GNF).” The diagram below is a fifth normal form graph concept model, which is just a few steps from GNF, so hang on: Where GNF comes from GNF is based on serious mathematics, […]

Data Modeling Techniques and Best Practices

Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI.  The proven approach to seamlessly designing and deploying a data warehouse is putting enterprise data modeling at the center of your […]

The Rise of the Semantic Layer

Cloud giants like Google and Snowflake, unicorns like dbt Labs, and a host of venture-backed startups are now talking about a critical new layer in the data and analytics stack. Some call it a “metrics layer,” or a “metrics hub” or “headless BI,” but most call it a “semantic layer.” I prefer to call it a “semantic layer” because it best describes a business-friendly interface […]

A Beginner’s Guide to Data Modeling and Analytics

As more and more companies start to use data-related applications to manage their huge assets of data, the concepts of data modeling and analytics are becoming increasingly important. While they typically rely on one each, they are two very distinct concepts.  Companies use data analysis to clean, transform, and model their sets of data, whereas they […]

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept