The data consumers can rely on a single standardized set of data, provided through both streams and tables, to power their operations, analytics, and everything in between. We create the headless ...

Data pipelines. A data pipeline is the process in which data is collected, moved, and refined. It includes data collection, refinement, storage, analysis, and delivery.

Picnic redesigned its data pipeline architecture to address scalability issues with legacy message queues. The company uses connectors to build streaming pipelines from RabbitMQ and to Snowflake and ...

In a landscape where data lakes and warehouses have long been treated as distinct and often incompatible tools, the lakehouse ...

Unisphere and DBTA, in partnership with Radiant Advisors, gathered real-world experts to discuss and evaluate popular data architecture plans in DBTA's recent webinar, 2023 Modern Data Architecture ...

The system architecture associated with the used big data tools, the architecture hardware specs as well as other current platforms appropriate for large data streaming analytics are also considered.

San Diego-based Tealium introduces CloudStream, a unified solution that eliminates data duplication while connecting ...

The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

Big data technology and data science with person touching data flowing on virtual screen. Business analytics, artificial intelligence, machine learning. Engineer or scientist analyzing stream of data.

A data streaming solution must account for speed, security, scaling and more if it’s to provide the productivity, service and information it’s designed to deliver.

As the volume of global data surges, projected to exceed 180 zettabytes by 2025, a paradigm shift is underway in enterprise data analytics. Autonomous AI agents are emerging as a pivotal force ...