
Discover common Azure pitfalls and best practices for selecting services, architecting solutions, and optimizing performance. Learn from experts to build robust cloud applications.

Explore strategies for high availability in stateful distributed systems, including scaling, multi-region deployments, and cloud tools. Learn to calculate SLA and build reliable architectures.

Explore how generative AI advances transform data management, from automated database tuning to natural language pattern mining and SQL code synthesis, with insights from Cornell's cutting-edge research.

Explore Microsoft's innovative research on provenance systems, including OneProvenance and DSProvenance engines, focusing on data lineage tracking, metadata management, and enterprise-scale data governance solutions.

Master Prisma's essential database operations and implement efficient pagination techniques for optimized data handling and retrieval in your applications.

Master data transformation techniques with DBT (Data Build Tool) to effectively analyze and engineer warehouse data through hands-on project creation and fundamental features.

Explore building a data access library for F#, covering design decisions, query representation, side-effect control, and DSL creation for efficient SQL interactions.

Explore composable queries in Ecto.Query DSL to create expressive, pipeline-able methods for improved data access, revealing human meaning behind data while maintaining readability.

Explore building analytical systems with Elixir, covering process mining, technology choices, and challenges. Compare Elixir Explorer with Python for data analysis tasks.

Explore advanced Template Meta Programming techniques through implementing a variant, covering visit, constexpr support, and modern C++ features for cleaner code.

Explore AI and ML applications in business, focusing on Oracle's tools for database management, analytics, and generative AI. Learn about algorithms, AutoML, and the future of AI in various industries.

Explore MariaDB's evolution from MySQL fork to enterprise-grade database, covering its history, features, and global adoption in this comprehensive DevOps conference talk.

Explore relational databases using Wolfram Language's Entity framework. Learn key concepts, querying techniques, and advanced features for efficient data management.

Streamline data management with BigQuery and DataForm. Learn setup, optimization, and automation for efficient, scalable data pipelines and transformations.

Gain foundational knowledge of databases, their structure, and applications in solving real-world problems. Explore data types, analytics cubes, and structured data formats.

Learn SQL basics, schema objects, tables, and key syntax for querying databases with live examples from a Mars Petcare Data Engineer.

Level up SQL skills with advanced techniques for messy data, window functions, and arrays to tackle real-world analytics challenges effectively.

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.

Learn SQL++ to apply SQL to JSON data, combining NoSQL flexibility with SQL familiarity. Explore implementation in Couchbase Capella for modern database applications.

Explore using pgvector and PostgreSQL to automate finding photos of yourself at events. Learn to extract faces, calculate embeddings, and query image data efficiently.

Explore BigQuery ML to build, train, and deploy machine learning models using SQL for marketing use cases like customer segmentation and purchase prediction.