Latinos in Soccer: Developing Inclusive Models for Youth Participation
Experts discuss strategies to increase Latino youth participation in organized soccer, addressing barriers and exploring inclusive models for community engagement.
Spark, Cloud, DBT, Data Warehouses Etc. - Navdeep Kaur
Explore current trends in Data Engineering, including the shift towards new data stacks, tech used by companies, reasons for change, and the transition to data warehouses and delta lakes.
Activating Microsoft Fabric with Real-time Data for Analytics and AI
Explore real-time data streaming and integration for Microsoft Fabric, enabling advanced analytics and AI capabilities with Striim's new adapters for data warehouses and lakehouses.
Attempting to Tame the Data Beast: A BI Transition Tale
Explore the journey of modernizing a BI platform, from legacy systems to cutting-edge tools. Learn about data ingestion, dbt transformations, and Airflow orchestration, along with insights on overcoming challenges.
Timespan Fact Tables: Handling Historical Data in Data Warehousing
Explore practical applications of Timespan Fact Tables for handling historical data, including row effective dates, expiration dates, and current row indicators.
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.
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.
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.
Practice of Building Real-Time Data Lake Based on Flink
Build a real-time data lake using Flink and Iceberg to address timeliness, diversity, consistency, and accuracy challenges in modern data architectures.
Challenges and Solutions for Building Real-time Data Warehousing with Apache Flink, Apache Hive and Apache Iceberg
Explore solutions for real-time data warehousing using Apache Flink, Hive, and Iceberg. Learn to handle challenges like late events and dirty data routing in enterprise-level ETL migration.
Accelerating Big Data - Modern Trends, Enable Product Analytics
Explore modern trends in big data acceleration and enable effective product analytics for improved decision-making and business insights.
Hive-Iceberg Integration: Breaking the Ice - A Closer Look at Features and Developments
Explore latest developments in Hive-Iceberg integration, including statistics, branching, tagging, compactions, and concurrency. Gain insights into seamless integration and advanced features.