Data warehouses have proven to be great repositories for enormous amounts of critical information, but the process of preloading data into the necessary structure to run business analytics workloads ...
In the process of completing 25 acquisitions and building a trove of information on more than 1 billion consumers across 30 countries over the past 56 years, TransUnion LLC had created a lot of data ...
Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.
Traditional architecture and technologies and newer big data approaches each offer advantages. In a session at Data Summit 2019, titled “Designing a Data Architecture for Modern Business Intelligence ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...
CelerData, a unified analytics platform for the modern, real-time enterprise, is releasing the latest iteration of its enterprise analytics platform, CelerData Version 3, which continues to empower ...
Data has evolved over the years. Complex data structures, unstructured data, real-time processing, growing data volumes, and new varieties of data are all part of the evolution. Platforms have changed ...
Data lakes have become a critical solution for enterprises to store and analyze data. A cloud data lake solution offers a number of benefits that make it an ideal tool for managing and processing data ...
Atlassian was always an advocate of the data warehouse-style architecture, according to the company's data platform senior manager Rohan Dhupelia. At one point the company was running two data ...
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