
Explore Apache Arrow and Substrait's impact on data engineering, including their role in interoperability, query planning, and building efficient database systems with minimal code.

Learn to build a scalable analytical solution using Infrastructure as a Service and Elasticsearch, exploring key concepts and best practices for efficient data processing and analysis.

Explore the integration of SQL Server Analysis Services with Hadoop, focusing on leveraging big data for enhanced business intelligence and analytics capabilities.

Learn Hadoop essentials, including HDFS, MapReduce, and Hive, with a focus on comparisons to SQL Server. Explore on-premises and cloud options for implementing Hadoop ecosystems.

Explore Azure Stream Analytics for real-time IoT data processing. Learn to capture, analyze, and present device data streams, integrating with Microsoft's IoT suite for business insights.

Experts discuss hot topics in business intelligence, analytics, and big data, providing insights on staying ahead in the evolving field of business analytics.

Explore big data management in SQL Azure, covering telemetry scaling, data collection, batch pipelines, and machine learning for efficient database administration at scale.

Explore advanced data mining techniques in Excel 2013, including PowerPivot integration, big data analysis, and innovative data mashup methods for enhanced analytical capabilities.

Explore PolyBase's role in modern data warehousing: streamline ETL, export dimensions, use Hadoop for archiving, and enrich relational data with ambient data from Hadoop.

Live Q&A session with SQL Server Product Managers addressing user-submitted questions on SQL Server 2014, Microsoft Azure, and Big Data technologies.

Unlocking organizational potential through domain expertise and advanced spreadsheets. Learn to leverage existing knowledge, improve data strategies, and turn Excel into a competitive advantage.

Explore cloud-based Hadoop deployment benefits, including scalability and cost-efficiency. Learn to integrate on-premise and cloud implementations for optimal performance and flexibility.

Explore Microsoft's approach to evolving data warehouse infrastructure, addressing explosive data growth and new data types. Learn about scale-out technologies, in-memory performance, and Hadoop integration.

Explore Amazon Web Services for SQL Server pros: EC2, S3, RDS, NoSQL, and more. Learn to leverage cloud storage, virtual machines, and PaaS solutions for efficient data management and processing.

Explore the differences between relational, non-relational databases, and Hadoop, covering origins, key features, use cases, and Microsoft's data platform solutions.

Explore common patterns for building end-to-end data analytics pipelines using Apache Spark on Azure HDInsight, covering architecture, integration points, and various pipeline options.

Explore Azure's big data and MPP offerings, including data lakes, HDInsight, and SQL Data Warehouse. Learn about architecture, storage options, and processing capabilities for efficient data management.

Develop scalable data solutions using Azure Databricks for efficient processing, collaborative development, and seamless integration with Azure services and Power BI visualization.

Explore Azure Databricks for big data processing, advanced analytics, and real-time insights. Learn platform basics, architecture, and integration with Azure components for data-driven solutions.

Explore Complex Event Processing from a high-level perspective, understanding its concepts, applications, and impact on data analysis and decision-making in real-time systems.

Explore big data architectures, data lakes, and modern data warehousing. Learn about Hadoop, cloud benefits, and strategies to effectively manage and analyze large-scale data for business intelligence.