
Explore a comprehensive checklist for migrating data solutions to the cloud, covering planning, evaluation, discovery, assessment, architecture, costs, migration, and post-migration steps.

Explore the new Direct Lake mode for Power BI in Microsoft Fabric, understanding its functionality and applications in data analysis.

Explore robust data protection, governance, and leadership strategies, focusing on OneLake, Purview, and modern security approaches for seamless, secure digital operations.

Explore the new Direct Lake mode for Power BI in Microsoft Fabric, understanding its functionality and applications in data analysis.

Explore data architecture trends with a seasoned engineer, separating hype from strategic value in industry buzzwords and innovations.

Choose the right Microsoft Fabric workload for your business needs and understand current limitations in this informative session led by experienced Microsoft program managers.

Learn to build an ML experimentation platform using lakeFS for version control and reproducibility. Explore creating frameworks, reproducing iterations, and building intuitive infrastructure with open-source tools.

Explore Delta Lake's optimized data storage in Databricks, enhancing query performance and enabling time travel while reducing system complexity.

Explore Cloud Storage's scalable solutions for AI and cloud workloads. Learn how Priceline, Nuro, and Codeway optimize data management with new capabilities and differentiated features.

Explore the AI Lakehouse's evolution, combining data warehouses and lakes for real-time analytics and AI insights across multi-cloud environments.

Uncover strategies for successful large-scale data migrations through Verizon's journey of moving 7 PB from on-premise Hadoop to Google Cloud, overcoming challenges and meeting tight deadlines.

Explore data management strategies for effective GenAI application with QuantumBlack AI experts. Learn about challenges, solutions, and best practices for scaling impact and improving data quality in organizations.

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

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.

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.

Explore Atlassian's Data Mesh implementation, multi-regional data lake, and compliance strategies. Learn about logical replication, data contracts, and how the data lake powers various use cases, unlocking team potential.

Dive into the mechanics of Delta Lake's transaction log through hands-on PySpark exercises, exploring its structure, operations, and advantages over traditional data lakes.

Discover how to efficiently manage, process, and clean data using low-code tools. Learn to connect Apache Spark, Databricks, and TimeXtender for rapid data curation and confident decision-making.

Explore Microsoft Fabric's powerful features for organizational data management, including OneLake, lakehouses, warehouses, and AI integration. Learn key benefits and use cases for data engineering and analysis.

Discover how to build and manage distributed meta datalakes using Gravitino, exploring multi-regional architectures and implementation strategies for scalable data solutions.

Discover how OneLake's latest capabilities streamline data management across multi-cloud environments, with advanced mirroring and governance tools to enhance organizational data security and insights.