Data Modeling, the practice of diagramming Data Architecture and aligning core business rules with data definitions, will go through a refresh in 2023. Organizations will assess and make over their data fabrics, which describe distributed Data Management systems. Furthermore, managers and project teams will use data models to optimize business processes with their data assets and allocate resources to achieve […]
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 Guide to Time Series Databases
Time series databases (or TSDBs) are databases that have been optimized for processing time series data. Time series data is made up of data records that are indexed using timestamps. The timestamps provide a reference for each of the data records and show how they relate to one another in time. An example of time […]
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 […]
Data Modeling 101
Data Modeling creates a visual representation of a data system as a whole or as parts of it. The goal is to communicate the kinds of data being used and saved within the system. A data model should also show the data’s relationships, how the data can be organized, and the formats used. A data model can […]
Primary Data Modeling Techniques
Data Modeling techniques are used to create a map or blueprint showing how an organization gathers and processes data. Data models help to define the logical structure for an organization’s data. Data Modeling techniques are necessary for businesses wanting to maximize and streamline their ability to analyze and understand data. While developing the model, the […]
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, […]
DataEd Slides: Conceptual vs. Logical vs. Physical Data Modeling
Conceptual vs. Logical vs. Physical Data Modeling from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar A model is developed for a purpose. Understanding the strengths of each of the three Data Modeling types will prepare you with a more robust analyst toolkit. The program […]
DataEd Webinar: Conceptual vs. Logical vs. Physical Data Modeling
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar A model is developed for a purpose. Understanding the strengths of each of the three Data Modeling types will prepare you with a more robust analyst toolkit. The program will describe modeling characteristics shared by each modeling […]