Category: Analytics

Pendulum is an AI-powered analytics platform that aggregates and analyzes real-time data from social media, news, and podcasts. Designed to help organizations stay ahead, it enables reputation monitoring, early crisis detection, and influencer activity tracking. Using machine learning (ML) enables Pendulum to surface key insights from multiple channels, providing a comprehensive view of the digital […]

Amazon S3 redefined data storage when it launched as the first generally available AWS service in 2006 to deliver highly reliable, durable, secure, low-latency storage with virtually unlimited scale. While designed to deliver simple storage, S3 has proven to be built to handle the explosive growth of data we have seen in the last 19 […]

Amazon Prime Video provides a selection of original content and licensed movies and TV shows that you can stream or download as part of the Amazon Prime subscription. Prime Video’s telemetry platform serves as the backbone for monitoring playback performance, saving data snapshots for failure recovery, providing business analytics, and generating real-time insights across its […]

As businesses continue to rely on data-driven decision-making, there’s an increasing demand for tools that streamline and accelerate the process of data analysis. Efficiency and simplicity in application architecture can serve as a competitive edge when driving high-stakes decisions. Developers are seeking lightweight, flexible tools that seamlessly integrate with their existing application stack, specifically solutions […]

Organizations are modernizing data platforms to use generative AI by centralizing data from various sources and streaming real-time data into data lakes. A strong data foundation, such as scalable storage, reliable ingestion pipelines, and interoperable formats, is critical for businesses to discover, explore, and consume data. As organizations modernize their platforms, they often turn to […]

Organizations today seek data analytics solutions that provide maximum flexibility and accessibility. Customers need their data to be readily available using their preferred query engines, and break down barriers across different computing environments. At the same time, they want a single copy of data to be used across these solutions, to track lineage, be cost […]

Managing large-scale data analytics across diverse data sources has long been a challenge for enterprises. Data teams often struggle with complex data lake configurations, performance bottlenecks, and the need to maintain consistent data governance while enabling broad access to analytics capabilities. Today, Starburst announces a powerful solution to these challenges by extending their Apache Iceberg […]

UPDATE (7/31/2025): Firehose can directly access S3 Tables in Glue Data Catalog without requiring resource links. Businesses are increasingly adopting real-time data processing to stay ahead of user expectations and market changes. Industries such as retail, finance, manufacturing, and smart cities are using streaming data for everything from optimizing supply chains to detecting fraud and […]

Modern data lakes integrate with multiple engines to meet a wide range of analytics needs, from SQL querying to stream processing. A key enabler of this approach is the adoption of Apache Iceberg as the open table format for building transactional data lakes. However, as the Iceberg ecosystem expands, the growing variety of engines and languages has […]

Organizations of all sizes face a common challenge: efficiently managing, organizing, and retrieving vast amounts of digital content. From images and videos to documents and application data, businesses are inundated with information that needs to be stored securely, accessed quickly, and analyzed effectively. The ability to extract, manage, and use metadata from this content is […]