Take a Self-Taught Journey into the World of Data
Discover how to transition from teaching to data analytics through self-learning, leveraging community support in the tech industry.
How to Get Noticed for a Power BI Job Interview
Stand out in Power BI job interviews with a simple yet effective trick to showcase your report creation skills, even without extensive experience.
Report Design and Psychology - Quick Tips
Learn intuitive report design techniques based on how the brain processes information, enhancing data visualization and communication effectiveness.
Generate Test Data Quick, Easy and in Large Volumes with the Databricks Labs Data Generator
Generate terabytes of proper test data quickly and easily using Databricks Labs Data Generator for dev environments across Azure, AWS, and GCP.
Caching Framework for Exabyte-Scale Data Lakes
Optimize exabyte-scale data lakes with open-source caching framework. Improve performance, reduce costs, and tackle challenges in complex data environments using Hadoop, Parquet, Hudi, and Alluxio.
Spark SQL Shuffle Join Optimization at eBay
Optimize Spark SQL shuffle join performance with advanced techniques like unwrapping join conditions, enhancing shuffle exchange reuse, and pushing down partial aggregations.
Snowflake Data Warehouse Internals - Lecture 21
Explore Snowflake's data warehouse architecture, design principles, and internal mechanisms for efficient cloud-based data management and analytics.
Databricks Photon and Spark SQL in Advanced Database Systems - Lecture 20
Explore Databricks Photon and Spark SQL's advanced features for efficient data processing and analysis in modern database systems.
Modern Analytical Database Systems - Lecture 2
Explore modern analytical database systems, covering distributed architectures, query execution, and OLAP commoditization in this advanced CMU lecture.
Snowflake Database Architecture Overview - Lecture 25
Explore Snowflake's cloud-based database architecture, including query execution, optimization, and workload management, with insights from industry experts.
Git for Data Lakes: How LakeFS Scales Data Versioning to Billions of Objects
Learn how lakeFS enables Git-like versioning for data lakes, solving challenges of object storage and scaling to billions of objects without compromising performance. Explore branching, committing, and merging for petabyte-scale data management.
Yellowbrick Data Warehouse System - Lecture 21
Explore Yellowbrick's innovative data warehouse system, its architecture, and performance optimizations for analytical workloads in this advanced database systems lecture.
Snowflake Data Warehouse Internals - Lecture 19
Explore Snowflake's data warehouse architecture, design principles, and internal workings. Gain insights into its innovative approach to cloud-based data management and analytics.
Databricks Photon and Spark SQL in Advanced Database Systems - Lecture 18
Explore Databricks Photon and Spark SQL architectures, optimizations, and performance improvements in modern data processing systems.
Modern OLAP Database Systems - Lecture 1
Explore modern OLAP database systems, their architectures, and optimizations for analytical workloads in this advanced lecture from Carnegie Mellon University.
How to Evaluate Your Project's Success and User Adoption
Discover methods to gather quantitative and qualitative data about your project's usage, adoption, and value. Learn to leverage insights for better decision-making in outreach, roadmap planning, and goal setting.
Education and Science Communication Through Visualization
Discover how global experiences shape innovative teaching in data visualization, blending theory and practice to inspire students and foster creativity in science communication.
ETL Observability: Azure to Snowflake - Monitoring with Splunk and Power BI
Explore ETL monitoring from Azure to Snowflake using ADF, Splunk, and Power BI. Learn data lineage and observability techniques for efficient pipeline management.
Introduction to Data Build Tool (DBT)
Master data build tool (DBT) for efficient data product development, including CICD, pipelines, validation, quality testing, deployment, and monitoring.
Implementing Change Data Capture (CDC) and Slowly Changing Dimensions (SCD) Using Spark and Hive
Learn to implement Change Data Capture (CDC) and Slowly Changing Dimension (SCD) patterns in Hive using Spark, with a step-by-step guide for efficient data management and analysis.
Excel 365 for Teaching: Dynamic Arrays, XLOOKUP, Power Query and PivotTables
Streamline teaching tasks with Excel 365: master dynamic arrays, XLOOKUP, Power Query, and PivotTables for efficient gradebooks, budgets, and data analysis.