
Explorez les méthodes d'apprentissage automatique pour les petits ensembles de données industrielles, en utilisant le transfert de connaissances et les modèles hybrides pour des outils d'aide à la décision efficaces.

Master data transformation with DBT, exploring its integration with SQL and Python. Learn fundamental use cases and workflows to streamline data processes and enhance efficiency in modern data engineering practices.

Discover how to build scalable document understanding systems using LLMs, Metaflow, and open-source tools for efficient text processing and pattern recognition in production environments.

Dive into database concurrency control theory and explore Firebolt's innovative approach to managing simultaneous transactions in modern database systems, featuring insights from industry experts.

Dive into advanced query execution concepts and ClickHouse database architecture, covering optimization techniques, processing strategies, and real-world database system implementations.

Master data visualization techniques for creating impactful views and dashboards, focusing on best practices for effective data presentation and communication in data science applications.

Master data visualization fundamentals with Tableau, learning to create impactful charts, tables, and timelines that transform complex data into clear, actionable business insights.

Dive into Snowflake's cloud-based architecture, exploring its core components, query processing, governance, and best practices for both data warehousing and data science implementations.

Dive into the mechanics of Delta Lake's transaction log through hands-on PySpark exercises, exploring its structure, operations, and advantages over traditional data lakes.

Master the art of data-driven storytelling through structured approaches to analysis, visualization, and narrative creation. Learn to transform complex data into compelling, actionable insights that drive decision-making.

Discover how to build and optimize a modern data stack with expert guidance on essential components, technologies, and best practices for efficient data management and analytics infrastructure.

Dive into petabyte-scale data architecture design, exploring technologies like Redshift, Databricks, and BigQuery while mastering cost estimation, performance optimization, and architectural considerations.

Dive into petabyte-scale data architecture design, exploring technologies like Redshift, Databricks, and BigQuery while mastering cost estimation, performance optimization, and architectural considerations.

Dive into petabyte-scale data architecture design, exploring technologies like Redshift, Databricks, and BigQuery while mastering cost estimation, performance optimization, and architectural considerations.

Create dynamic dashboards, visualizations, and self-service apps from scratch. Learn core features of Notebook Templating for better data insights and report generation in business intelligence.

Explore advanced techniques for optimizing online ad spend using Reinforcement Learning, Bayesian statistics, and Thompson sampling to improve budget allocation and maximize returns.

Discover how to efficiently manage, process, and clean data using low-code tools. Learn to connect Apache Spark, Databricks, and TimeXtender for rapid data curation and confident decision-making.

Explore Google BigQuery's architecture, query processing, and optimization techniques with insights from a leading database systems expert.

Explore distributed analytical database systems, focusing on OLAP architectures, query execution, and optimization techniques for large-scale data processing and analysis.

Explore embedded database logic concepts, including stored procedures, user-defined functions, and triggers. Learn implementation techniques and their impact on DBMS architecture.

Explore DuckDB's architecture, design principles, and internal workings with guest lecturer Mark Raasveldt. Gain insights into advanced database systems and their implementation.