
Explore next-gen data modeling strategies for large-scale systems. Learn about YODA, an internal tool combining developer experience, DBT, Databricks, and more, to address data standardization and governance challenges.

Explore Twitter's Manhattan distributed key-value store, its architecture, consistency levels, and adaptations. Learn about eventual consistency benefits and alternative models for database management.

Explore the Panama Papers leak using graph databases, focusing on how ICIJ utilized this technology to analyze 3TB of data and provide an accessible interface for investigative journalists.

Explore alternatives to DDD's Aggregate pattern for modeling business constraints, addressing consistency challenges, and enabling flexible system design without rigid structures.

Explore StarTree ThirdEye for automated anomaly detection in real-time business metrics. Learn challenges, solutions, and advantages of this powerful tool for efficient troubleshooting and analysis.

Explore ACID transactions in NoSQL databases, covering their evolution, alternatives, and recent implementations. Gain insights into when and how to use ACID in distributed systems.

Explore advanced Redis features: modules for custom data models and transactions for atomic operations across multiple data structures. Learn to leverage Redis ecosystem for scalable solutions.

Explore graph databases, their comparison to relational databases, and ideal use cases. Learn about property graphs and gain resources for further study in this informative introduction.

Discover 10 powerful data science techniques to dramatically boost productivity and efficiency in your workflow.

Explore graph databases and their applications in social networks, analytics, and decision-making. Learn about their scalability, performance, and advantages over traditional databases for interconnected data.

Explore graph databases through a D&D-inspired example. Learn to model complex relationships, write efficient queries, and optimize data structures for adventurous problem-solving.

Embrace an Event-Native Mindset to build a responsive data architecture. Learn to model events, create an enterprise nervous system, and enable real-time action and prediction using event-driven knowledge architecture.

Explore solutions for storing and managing historical data in databases, addressing complex requirements for data retention, editing, and querying while optimizing performance.

Integrate Power BI with Azure DevOps for centralized version control, change tracking, and streamlined deployment in team development environments.

Explore Azure Data Explorer for observational analytics, learning its capabilities and getting a quick start in this powerful platform for handling big data and IoT scenarios.

Collaboratively design dimensional models with business users for effective star schema requirements gathering and data visualization.

Explore Azure Data Explorer setup and usage through practical examples in this introductory session on modern analytics and big data engineering.

Compare Azure SQL and Cosmos DB functionalities for legacy app migration or new cloud project database selection. Explore partitioning, data models, indexing, and performance tuning.

Discover tips and tricks for optimizing enterprise data models, reducing size, and meeting business needs when DirectQuery is the only option.

Explore the new Direct Lake mode for Power BI in Microsoft Fabric, understanding its functionality and applications in data analysis.

Explore the new Direct Lake mode for Power BI in Microsoft Fabric, understanding its functionality and applications in data analysis.