
Explore Lakehouse architecture on Microsoft Intelligent Data Platform. Learn Synapse Analytics, Delta format, and Spark-based engines for efficient big data processing and analytics.

Explore Roche's Maxim through practical examples, learning to optimize data transformation processes for improved efficiency and effectiveness in data management.

Discover the latest Power Query features in Power BI Desktop, Fabric Dataflows, and Excel, enhancing data transformation capabilities.

Master data cleaning techniques using Fabric and OpenAI to transform chaotic datasets into valuable insights, enhancing your data quality skills for improved analysis and decision-making.

Develop an end-to-end sales analytics project using Apache Flink. Learn data ingestion, processing, complex transformations, and custom output formats for big data processing.

Explore ML feature platform development using DuckDB and Arrow. Learn scaling strategies, DuckDB extension implementation, DeltaLake interoperability, and performance comparison with Spark.

Provision and manage Azure Data Factory with Terraform for scalable, serverless data integration and transformation in the cloud.

Explore XML fundamentals, schemas, XPATH, and XSLT through practical exercises and real-world applications.

Master Power Query in Excel: Learn to gather, clean, and transform data efficiently. Streamline your workflow, automate tasks, and optimize data preparation for analysis.

Discover how autoencoders can enhance cybersecurity by detecting anomalies in authentication logs, overcoming limitations of traditional rule-based models and improving threat detection capabilities.

Zalando's journey transforming multi-petabyte data platforms: challenges, strategies, and lessons learned in migrating to modern data-mesh architectures using Databricks and AWS ecosystems.

Explore the design of an AI copilot for data transformation, focusing on unique challenges and solutions to enhance productivity. Includes demos and insights on LLM applications in programming.

Discover pipes, a powerful approach to writing expressive code for collection operations. Learn to efficiently transform, filter, and manipulate data with improved flexibility and composability compared to traditional methods.

Explore innovative methods for converting real-world experiences into meaningful data, enhancing decision-making and problem-solving across various fields and industries.

Master Power Query M Code for advanced data shaping and analysis. Learn M Code values, expressions, data types, operations, custom functions, and key functions like Table.AddColumn and Table.Group.

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 optimize OpenTelemetry's processing capabilities for effective data transformation, filtering, sampling, and routing in distributed systems while managing costs and overhead.

Discover how to leverage Postman Flows and FQL (Flow Query Language) to create automated API workflows and execute complex API testing scenarios without coding.

Master advanced Excel data analysis by combining PivotTables, data models, and Power Query to transform complex datasets into meaningful insights. Learn to create relationships, clean data, and generate powerful analytical reports.