
Explore Presto's capabilities for fast, scalable SQL analytics across diverse data sources. Learn how major companies leverage it and see a demo on AWS. Discover Presto's open-source success and future enhancements.

Learn to construct an open data lakehouse on AWS using Presto and Apache Hudi, combining data lake flexibility with data warehouse performance for efficient big data management.

Learn to insert data into Hudi tables and efficiently query them using Presto, enhancing your data management and analysis skills in distributed systems.

Explore how big data can boost consumer trust and confidence in financial services, featuring insights from Credit Karma and Venture Beat experts.

Discover how to build a scalable, cost-effective logging infrastructure using managed cloud services like ElasticSearch and AWS Kinesis, saving time and money for your company.

Explore real-time Twitter analysis using Reactive Extensions to uncover trends and patterns in political debates and social media engagement during major events like elections.

Explore big data architectures with Azure ML Studio, covering integration, customization, and scaling for effective machine learning on large datasets.

Explore Elasticsearch's capabilities for .NET developers, covering autocompletion, search relevancy, recommendations, geospatial search, and data aggregations to solve real-world problems.

Discover Elasticsearch best practices, pitfalls, and expert tips for efficient deployment, scalability, and performance optimization in search and analytics applications.

Explore 13 functional programming techniques through turtle graphics implementations, covering topics from partial application to interpreter patterns in this comprehensive overview.

Explore container monitoring using the Elastic Stack, focusing on Beats for data collection, log fetching, metrics gathering, and network traffic analysis in containerized environments.

Explore distributed data processing frameworks for handling large-scale event streams. Learn about Apache Storm, Spark, and emerging platforms to build reliable, scalable systems for real-time data processing.

Explore serverless architectures in production, comparing AWS, Azure, and Google Cloud. Learn best practices, testing strategies, and common pitfalls from a seasoned cloud architect.

Explore key features of Elastic 5.x suite for data analytics, including geo-capabilities, pipeline aggregations, and Timelion, with real-world cases and Kibana visualization demonstrations.

Explore machine learning APIs for image analysis, text processing, and speech recognition in Node.js. Learn to integrate Google Cloud services for powerful AI capabilities in your applications.

Learn to bridge SQL Server and Hadoop using tools like SSIS, Sqoop, and PolyBase. Discover seamless data migration and integration techniques for database and app developers.

Gain insights from StackExchange data using Azure Data Lake Store & Analytics. Learn to analyze 150+ GB of data and visualize findings with Power BI, leveraging SQL and C# skills for big data analysis.

Explore Elasticsearch's versatility beyond search, including recommendations, monitoring, forensic analysis, and machine learning for anomaly detection. Discover new ways to leverage your data.

Explore big data analysis using Azure Data Lake to gain insights from StackExchange data dumps. Learn to leverage SQL and C# skills for efficient data processing and visualization with Power BI.

Explore reactive programming evolution from Rx.NET to reactive streams, focusing on Akka.NET streams implementation and their versatile applications in networking and event sourcing.

Insights on scaling cloud-based big data platforms, covering architecture evolution, cost management, GDPR compliance, and optimizing developer experience for processing billions of data rows daily.