
Explore event-driven microservices using Event Sourcing and CQRS. Learn principles, data modeling, and implementation through a real-world invoice management app example.

Explore PromQL/MetricsQL query optimization techniques, including data models, time series analysis, and performance improvement strategies for efficient observability in complex systems.

Master the creation of complex, interconnected mock datasets using Python's graph-data-generator package through JSON configuration files for more efficient development and testing workflows.

Explore EF Core 8.0's primitive collections for efficient JSON data storage in SQL Server. Learn practical tips and real-world applications to enhance your data handling.

Master the process of combining and analyzing data from multiple Excel sheets using Power Query and pivot tables to create powerful data summaries and insights.

Explore scalable data management strategies for hyperscale data centers, focusing on lifecycle representation, fleet asset management, and evolving architectural requirements.

Explore the shift from task-oriented to data-oriented workflows in modern data engineering, focusing on tools and approaches that prioritize data assets over process management.

Discover how semantic data infrastructure and digital twins revolutionize smart farming, enabling better crop monitoring and reduced chemical usage through advanced data models and ontologies.

Generate realistic test data for database projects using Python libraries and techniques. Improve development and testing processes.

Gain insights from multiomics data using ParetoGP, exploring key variables and generating interpretable models for cancer therapeutics and bone regeneration.

Discover strategies to overcome test data challenges, from preparation to execution, ensuring efficient and reliable testing processes for any project or language.

Optimize Apache Cassandra storage by increasing partition size, reducing disk usage by 30%+. Learn from Instaclustr's experience in managing large-scale metrics data efficiently.

Explore Azure Synapse Analytics' evolution and its impact on data transformation, storage, and querying methods to evaluate its suitability for your data environment.

Define entities and attributes for tabular models using real-life project examples to improve design and address common issues.

Explore strengths and weaknesses of relational and non-relational databases. Learn best use cases and real-world examples to make informed decisions for your data storage needs.

Explore strengths and weaknesses of relational and non-relational databases, with real-world examples to guide your choice for specific data storage needs.

Transform your data strategy into an executable program with a blueprint for successful implementation.

Explore data modeling and visualization techniques to identify risks and make informed decisions in project navigation, inspired by Captain Sully's story.

Create and utilize data types in Power BI for Excel consumption. Enhance data modeling and visualization capabilities across platforms.

Scale data modeling teams using WhereScape 3D and Git, enabling collaboration, code standards, and efficient deployment of data models.

Discover how synthetic data creates rich scenarios for flight simulations, mitigating real-world data risks while enhancing training and development.