
Automate Power BI Dataset and Analysis Services Tabular model development using Tabular Editor, GIT, and Azure DevOps. Learn to implement continuous integration and delivery for efficient BI solution management.

Explore DAX's numeric calculations, learning to differentiate between filter and row contexts, and when to use calculated columns versus measures for optimal data analysis and visualization.

Explore OLAP technology vulnerabilities in Business Intelligence systems, focusing on MDX-related attacks, code injection, and data retrieval vectors. Learn practical exploitation techniques for critical corporate data.

Explore challenges and strategies for traditional companies to transform into digital, data-driven AI organizations, with insights from various industries and practical examples.

Explore data mesh principles for delivering data-driven value at scale. Learn about domain-oriented ownership, data as a product, and the earliest explorable data concept to transform organizational data handling.

Explore modern data warehousing challenges and solutions, including scalability, analytics readiness, and cloud implementation. Learn about lakehouses and gain insights for constructing effective data infrastructures.

Explore the risks and security implications of business users creating applications with low-code/no-code platforms, and learn strategies to mitigate potential vulnerabilities in enterprise environments.

Explore data mesh principles for delivering value at scale, moving beyond data lakes to provide meaningful insights. Learn about earliest explorable data and modern data handling for organizations.

Explore a paradigm shift in measuring human factors in software development, bridging the gap between management and engineering through data-driven risk models and project decision-making.

Discover techniques to enhance React Native app performance using Hermes, exploring execution pipelines, JIT, memory mapping, and bundle optimizations.

Explore GART, an innovative system bridging relational OLTP and graph-based OLAP, offering real-time graph analytics with superior performance and data freshness for dynamic applications.

Discover how Spotify's autonomous team culture fostered innovation, enabling the creation of Discover Weekly despite initial skepticism. Learn about aligned autonomy, data-driven decisions, and iterative development.

Insider insights on Trump's 2016 digital campaign strategy, exploring targeted advertising, data-driven decision-making, and emotional messaging techniques that led to electoral success.

Explore how facts and data on women in tech can drive industry-wide cultural shifts, presented by AnitaB.org's Brenda Darden Wilkerson.

Discover how Danone leverages data to stay future-ready in a disruptive consumer environment, powering a customer-centric model for success in the food industry.

Explore real-time data-driven marketing decisions with L'Oreal and Domo, shifting from complexity to clarity and reaction to action in the digital age.

Explore real-world Data Science projects, their business impacts, and methodologies. Gain insights into executing successful DS initiatives and structuring conclusions for practical applications.

Explore lightweight OLAP framework server for efficient data analysis and reporting, focusing on Cubes implementation and benefits.

Explore lightweight OLAP framework for efficient data analysis, slicing, and dicing using Cubes. Learn server implementation and advanced techniques for multidimensional data processing.

Explore advanced database programming with Python, covering locks, distributed transactions, and transaction isolation for robust production environments.

Discover how Spotify's team improved performance through metrics-driven development, focusing on key indicators and establishing feedback loops for continuous improvement.