
Learn to secure Apache Spark-based data engineering applications. Explore security best practices, identify threats, prioritize requirements, and implement practical steps for Kubernetes and object storage environments.

Explore data lake architecture using Spark, Kubernetes, and OpenStack for flexible, scalable, and cost-effective large-scale data processing on private cloud platforms.

Explore how functional programming and Scala can revolutionize machine learning, offering strongly-typed solutions for efficient algorithm implementation and scalable data processing.

Hands-on tutorial for building real-time data pipelines using Databricks, from ingesting NASA supernova data to implementing LLMs with RAG. Covers ETL, stream processing, and natural language analytics.

Explore AT&T's evolution on Databricks Platform, scaling data projects with automated pipelining, serverless SQL warehouses, and AI/ML use cases while meeting security and regulatory requirements.

GPU-accelerated machine learning in Spark using RAPIDS ML, offering significant speedup and cost savings over traditional MLlib implementations for large-scale distributed ML applications.

Explore how Kalman filters, used in rocket science, are applied to NBA betting predictions. Learn about DraftKings' data-driven approach to generate accurate probabilities for bookmaking.

Transforme relatórios estáticos em insights em tempo real usando Databricks, ThoughtSpot e Power BI. Aprenda a construir uma plataforma de análise avançada para capacitar gerentes e analistas com dados atualizados.

Explore Delta Lake UniForm's ability to create a single data set accessible across multiple open table formats, enhancing data lakehouse architecture efficiency and flexibility.

Learn techniques for automating Apache Spark upgrades and migrations, including open-source tools for code rewriting, production testing, and job tracking. Discover strategies for seamless upgrades and pipeline validation.

Explore the latest features of Delta Lake 4.0, the unified storage layer for data lakehouses, and get insights into its future developments from Databricks experts.

Explore Inari's journey in adopting Databricks, implementing Delta Live Tables, and leveraging Unity Catalog for efficient data management in sustainable agriculture.

Capital One's cloud-based data ecosystem enables self-service innovation for 13,000+ technologists. Learn about their "you build, your data" strategy, enterprise data platforms, and best practices for leveraging data at scale.

Zalando's journey transforming multi-petabyte data platforms: challenges, strategies, and lessons learned in migrating to modern data-mesh architectures using Databricks and AWS ecosystems.

Explore Neuralake: a multimodal data lake for managing complex neural data. Learn about its Rust-based stack, real-time ingestion, and scalable architecture for efficient data access and retrieval.

Discover the power of streaming lakehouse architecture, achieving success at scale with Delta Lake as the key to a consistent data foundation and stress-free data ecosystem.

Explore how Hinge Health optimized CDC architecture using Delta Live Tables, enhancing data reliability and scalability for their digital MSK clinic while reducing costs and meeting SLAs.

Explore Apache Spark 3.5's advancements: Spark Connect, DeepSpeed integration, performance optimizations, new PySpark and SQL features for enhanced big data processing and AI capabilities.

Explore real-time analytics in banking using Delta Live Tables, showcasing Navy Federal's approach to member personalization, data quality, and scalable pipelines for omnichannel experiences.

Explore DatabricksIQ's AI-powered optimizations for Delta Lake tables, including Predictive Optimization and Liquid Clustering, to enhance performance and efficiency without manual tuning.

Explore Delta kernel rust's integration with DuckDB, enhancing Delta support in third-party connectors. Learn about architecture, implementation, and performance through demos and benchmarks.