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.
Architecture Explained: Generative AI-Based Complex Data Processing
Explore interoperability between Databricks and AWS for generative AI, covering intelligent document processing, real-time and batch processing patterns, and a live demo of end-to-end offerings.
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.
What's Next for the Upcoming Apache Spark 4.0
Explore key enhancements in Apache Spark 4.0: Spark Connect, Structured Logging, PySpark updates, expanded SQL capabilities, improved connectivity, and real-time data processing advancements for optimized analytics.
Latest Advancements in MLflow
Explore recent MLflow features, including GenAI additions, and learn how to optimize machine learning workflows with practical examples and best practices for implementation.
Empowering Centralized Data Governance with Unity Catalog - Comcast Case Study
Discover how Comcast leverages Unity Catalog for robust data governance, enabling fine-grained access control, data lineage, and improved collaboration across teams while maintaining agility.
Building Enterprise-Grade GenAI Apps with MLflow and Vector Search
Explore enterprise-grade GenAI app development using MLflow and Vector Search, focusing on data protection, AI deployment challenges, and leveraging proprietary information securely with Databricks tools.
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.
Unlock Data and AI Potential with a Fully Orchestrated Health Lakehouse
Explore how a modern healthcare data lakehouse integrates diverse data sources, leveraging AI and orchestration for improved patient care, risk management, and clinical decision support.
Unlocking Data Value - 84.51°'s Journey with Databricks Unity Catalog
Explore 84.51°'s implementation of Databricks Unity Catalog, enhancing data governance, domain design, and composable architecture for Kroger's retail data science initiatives.
Modernizing Data Pipelines with Databricks - IAS Journey
Discover how IAS modernized data pipelines using Databricks, migrating from Airflow to Workflows, implementing Data Mesh, and leveraging Unity Catalog for seamless data sharing and improved decision-making.
Building Your First GenAI App Using Databricks, MosaicML and MLRun
Learn to implement, scale, and manage GenAI applications using Databricks, MosaicAI, and MLRun. Explore MLOps best practices, CI/CD automation, and GPU optimization for enterprise-level AI deployment.
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.
RAGs to Data Riches - Talking to Your Enterprise Data
Explore enterprise-grade RAG solutions with Databricks, featuring Unity Catalog integration, security measures, and seamless Microsoft Copilot integration for enhanced data value extraction.
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.
Next-Gen Energy AI: Asset Bundles and MLOps on Repsol's Data and AI Platform
Explore Repsol's integration of MLOps in their Data & AI Cloud Platform, focusing on Databricks Asset Bundles for efficient ML model development and deployment in the energy sector.
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.
Udemy's Data and AI Journey - Migrating to Databricks for Enhanced Data Management
Explore Udemy's migration to Databricks, enhancing data democratization with Unity Catalog, DBSQL, and Delta Lake. Learn about cost control, data integration, and the transformative impact on innovation and analytics.