Successfully Migrating a Snowflake Data Warehouse to the Databricks Data Intelligence Platform
Learn strategies for migrating from Snowflake to Databricks, including methodology, technical approaches, automation tools, and best practices. Gain insights from real-world case studies on data, ELT pipeline, and warehouse migration.
Building a Metric Store for Consistent Data Analytics
Explore Databricks' journey in building a Metric Store, solving data inconsistencies, and unlocking advanced analytics capabilities for unified, forecasted, and explainable metrics across the organization.
GenAI Platform for Democratizing Use and Maintaining Governance - Bradesco's Approach
Explore how Bradesco leveraged GenAI to revolutionize processes, enhance customer experiences, and achieve operational efficiency gains while maintaining governance and security through a lakehouse architecture.
From Model to Business Applications - The Journey of Accelerated AI for Business Users
Explore the journey of Accelerated AI, from sophisticated models to practical business applications. Learn strategies for data quality, feedback loops, and model refinement to drive innovation and growth.
Rise of the Medallion Mesh - Innovative Data Architecture Solutions
Explore innovative data architecture solutions combining Medallion and Data Mesh patterns to enhance productivity, democratize data access, and ensure scalable, efficient data management in large organizations.
Accelerating Operational Excellence with Generative AI - Implementing RAG for Customer Service Efficiency
Discover how a financial company implemented RAG to enhance customer service, exploring architecture, data pipelines, innovations, and optimization strategies for transforming operations with Generative AI.
Unified Data and AI Governance - Accelerating Your Path to Unity Catalog
Accelerate digital transformation with unified data and AI governance using Unity Catalog. Learn how to manage platform objects, remove barriers, and achieve AI ambitions at enterprise scale.
Simplifying Lakehouse Observability - Databricks Key Design Goals and Strategies
Explore Databricks' Lakehouse Observability approach, integrating tools for monitoring and optimizing data and AI workflows to support scalable, data-driven applications.
What's New in Databricks Workflows - with Live Demos
Explore latest Databricks Workflows features: enhanced orchestration, run repairs, control flow, scheduling, and Python authoring. Live demos showcase innovations for ETL, analytics, and ML pipeline management.
Data Visualization Excellence: Tableau's Edge with Delta Sharing and Roadmap
Explore Tableau's innovations for Lakehouse analysis, including Delta Sharing connector and AI-driven insights. Learn about secure data visualization and future developments in this expert-led session.
Bringing Text-to-SQL to Business Intelligence Production in Large Enterprises
Explore Text-to-SQL implementation in large enterprises, focusing on model selection, fine-tuning, and performance optimization for accurate natural language querying in business intelligence contexts.
Driving Transformative Analytics with Domo's Integration in Databricks
Explore the synergy between Domo and Databricks, unlocking data interoperability and accelerating business intelligence through scalable data processing and AI/ML capabilities.
Insights from Building Enterprise-Grade ML Experiences at Asana
Discover key learnings from Asana's journey in developing and deploying machine learning features for millions of users, covering modeling, monitoring, scaling, and leveraging Databricks for data science solutions.
Enterprise-Grade Security and Compliance on the Databricks Data Intelligence Platform
Explore Databricks' latest security features for protecting sensitive data, including best practices for configuring DBSQL Serverless, Unity Catalog, and Mosaic AI at enterprise scale.
Drastically Reducing Processing Costs with Delta Lake
Optimize data pipelines using Delta Lake features on Databricks. Learn techniques to address read-write amplification, improve performance, and reduce costs in large-scale data processing.
Building a Modern Marketing Team with Machine Learning and Databricks
Discover how Rogers leverages ML and Databricks to revolutionize marketing, featuring a reusable framework for data science across industries and insights on implementing key marketing models.
Building Production Quality Generative AI Applications
Explore a developer workflow for deploying high-quality AI applications, covering experimentation, feedback, and performance metrics using Databricks tools like Vector Search and MLflow.
Trek Bikes Accelerates Retail Analytics with Databricks
Trek Bikes optimizes retail analytics using Databricks, achieving near real-time data integration, 80-90% faster analytics, improved data accessibility, and cost reduction through innovative lakehouse architecture.
Databricks SQL - Addressing Data Warehousing Challenges with Data Intelligence
Explore AI-powered data warehousing with Databricks SQL, addressing performance, governance, and usability challenges through intelligent data understanding and innovative features like natural language queries.
Growing AI/ML Maturity and Adoption - It Takes a Village
Bridgestone's data science journey: transitioning to cloud, overcoming challenges, and leveraging partnerships to implement AI/ML solutions across various business areas.
Data Lakehouse Architecture for IRC - Transforming Humanitarian Efforts
Explore IRC's adoption of data lakehouse architecture using Azure Databricks, enhancing humanitarian efforts through streamlined data processes and improved operational efficiencies.