Building an MLOps Platform with MLflow for Rapid Model Productionalization
Discover how DataSentics built an MLOps platform around MLflow to streamline model productionalization, reducing deployment time to minutes. Learn about real-life experiences, platform demo, and lessons learned.
Optimizing Geospatial Queries with Dynamic File Pruning in Databricks Delta
Optimize geospatial queries using z-ordering and dynamic file pruning techniques in Databricks Delta, significantly improving query times for petabyte-scale data through specific data generation and SQL query design strategies.
SQL Analytics and the Lakehouse Architecture - Data + AI Summit EU 2020 Keynote
Explore lakehouse architecture, Delta Lake, and SQL Analytics for unified data management. Learn how this approach combines data warehouse capabilities with data lake flexibility, enabling faster analytics and decision-making.
Run Queries Instantly in Optimized Environments - Databricks Data Platform Overview
Discover how Databricks empowers data teams with instant query execution, optimized environments, and enhanced security, accelerating innovation while maintaining governance and compliance.
Dumb-Proofing Data Pipelines: Techniques for Configurable and Maintainable ETL - Databricks
Techniques to create configurable, maintainable data pipelines. Learn to externalize configurations, validate inputs, and leverage Scala features for robust, easily deployable ETL processes.
Learn to Use Databricks for Data Science
Discover how Databricks simplifies data science with a unified platform for analytics workloads, from data preparation to predictive analytics, enhancing collaboration and productivity at scale.
Getting Started with Databricks SQL Analytics
Explore Databricks SQL Analytics: set up SQL endpoints, query workspaces, create dashboards, and connect BI tools. Learn how this tool enhances the Lakehouse architecture for SQL-savvy data analysts.
Build Real-Time Applications with Databricks Streaming - Fire Department Use Case
Learn to build real-time applications using Databricks Streaming, focusing on a fire department use case. Explore architecture, data sources, and implementation for live tracking of equipment, personnel, and incidents.
Wizard Driven AI Anomaly Detection with Databricks in Azure
Explore wizard-driven AI anomaly detection for fraud prevention using Databricks. Learn unsupervised and supervised methods, aggregation frameworks, and human-in-the-loop feedback to improve models over time.
Real-World Evidence and Patient Analytics Using Databricks - A Use Case
Explore real-world health data analytics using Databricks, including insights generation, data security, and advanced use cases. Learn about big data ingestion and cloud-based platform industrialization for life sciences.
Managing Millions of Tests Using Databricks - Automated Monitoring and Reporting System
Explore automated test monitoring and reporting for Databricks Runtime using Delta, analyzing results from various sources to track quality and efficiently report failures to owners.
Enable Production ML with Databricks Feature Store
Simplify production ML with Databricks Feature Store. Learn to overcome data challenges, enable real-time inference, and streamline ML projects using a unified data lakehouse platform integrated with Apache Spark and MLflow.
Databricks and Enterprise Observability with Overwatch - Understanding Cost, Utilization, and Workloads
Explore Overwatch's capabilities for monitoring Databricks platform costs, utilization, and workloads. Learn implementation, use cases, and solutions to common observability challenges.
Scaling XGBoost for Thousands of Features with Databricks
Scaling XGBoost for online advertising: Learn to handle thousands of features, optimize model training, and avoid common pitfalls in both Python and Scala implementations on Spark.
Databricks University Alliance: Teaching with Databricks - Community Lightning Talks
Professors share experiences using Databricks in classrooms, covering course content, platform setup, and key observations. Insights from diverse universities on teaching data science and analytics with Databricks.
Hot Technologies in Data Analytics - What You Need to Learn
Discover essential emerging technologies in Data Analytics and learn how to evaluate them for your career advancement.
Databricks Fast Lanes - Better Performance and Lower Costs
Optimize SQL Endpoints with Databricks Fast Lanes for improved performance and cost-efficiency in analytics and data warehouse workloads.
Master Databricks and Apache Spark - SparkR Usage - Lesson 35
Explore SparkR for integrating R with Databricks and Apache Spark, covering architecture, APIs, libraries, and practical examples of data manipulation and analysis.
Master Databricks and Apache Spark - Introduction
Learn the fundamentals of Databricks and Apache Spark, exploring scale-up vs. scale-out concepts and laying the groundwork for mastering these powerful data processing tools.
Master Databricks and Apache Spark Step by Step - PySpark Using RDDs
Explore PySpark and RDDs in Databricks: Learn about lazy evaluation, transformations, and actions while analyzing data using Resilient Distributed Datasets.
Using SQL Window Functions in Databricks and Apache Spark - Lesson 16
Learn to leverage Spark SQL window functions for advanced data engineering on Databricks, including cumulative totals, ranking, and aggregations alongside detail rows, enhancing your data manipulation capabilities.