
Unlock data value with an analytics and AI lakehouse architecture, converging to a single platform for all workloads. Learn from Rakuten's CTO about their BigLake transformation.

Explore cutting-edge graph database technology scaling to 100,000+ cores. Learn about GDI, a new interface for high-performance, scalable graph processing in distributed memory systems.

Explores Alluxio local cache for petabyte-scale OLAP, optimizing data transfer efficiency in decoupled compute-storage models. Shares insights from Uber and Meta deployments.

Streamlining 900+ legacy reports into a centralized cloud-based metric hub for TD's Personal Banking, enhancing data governance and cost-efficiency while providing a single source of truth.

Unlock GenAI potential for business users with Databricks and Dataiku. Learn to scale AI projects, collaborate on model building, and streamline deployment for enterprise-wide innovation and future-ready AI solutions.

Introducing Variant data type for efficient semi-structured data processing in lakehouse architecture, offering schema flexibility and improved performance over string parsing.

Optimizing petabyte-scale clickstream data analysis for fashion e-commerce: Migration to Delta Lake enhances scalability, cost-efficiency, and performance in retail analytics.

Explore Wayfinder, a data-transforming platform built on Databricks, offering integrated tools for efficient data product creation, distribution, and customer usage with features like Delta Sharing and Unity Catalog.

Discover how Corning transformed data analysis using Databricks and AtScale, enhancing scalability, OLAP capabilities, and Excel integration for improved insights and decision-making.

Master modern data engineering with DBT and BigQuery. Set up, link, transform data, convert tables to views, seed data, write tests, and generate documentation in this comprehensive tutorial.

Leverage World Bank Open Data with Microsoft Fabric using various methods, model data, and create stunning reports in this demo-filled session on end-to-end solutions.

Explore diverse data modelling approaches, from Dimensional to Data Vault, understanding their strengths and optimal use cases for effective data management and analytics.

Explore next-gen data modeling strategies for large-scale systems. Learn about YODA, an internal tool combining developer experience, DBT, Databricks, and more, to address data standardization and governance challenges.

Explore real-time data transformation and analytics with dbt Labs. Learn about Modern Data Stack, streaming analytics, and best practices for building efficient data pipelines and democratizing data access.

Explore Trino's capabilities for efficient data querying across diverse sources, optimizing pipelines, and enhancing analytics performance in complex data environments.

Explore Power BI and Azure Synapse Analytics integration, learning effective data leveraging techniques to maximize insights and optimize your data strategy.

Uncover streaming ETL secrets: Postgres to Snowflake data ingestion, change data capture, dynamic tables, and Snowpipe streaming. Learn solutions for lower latency, cost savings, and enhanced scalability.

Discover how to build high-performance time series analytics applications using Apache Arrow Flight, Parquet, and Pandas, focusing on efficient data processing and querying techniques for columnar databases.

Master data transformation techniques with DBT (Data Build Tool) to effectively analyze and engineer warehouse data through hands-on project creation and fundamental features.

Explore the evolution of data warehousing from traditional ETL to modern Lakehouse architecture, focusing on Delta Lake, Structured Streaming, and PySpark implementation with practical code examples.

Discover how dimensional modeling and Kimball patterns can streamline machine learning projects, reduce data preparation time, and improve ML model development through practical warehouse design techniques.