Microsoft Azure’s new, unified data platform aims to be your one-stop shop for analytics and machine learning at scale. Tracking the annual flurry of announcements at Microsoft Build is a good way to ...
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Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...
Analysis of data fed into data lakes promises to provide enormous insights for data scientists, business managers, and artificial intelligence (AI) algorithms. However, governance and security ...
As an industry, we’ve been talking about the promise of data lakes for more than a decade. It’s a fantastic concept—to put an end to data silos with a single repos­itory for big data analytics.
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now What is a data lake solution? 5 must-have ...
Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. Image: ...
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 ...
The use of data lakes is growing in the federal market, and they have great potential for better analysis and data-driven decision-making -- as long as they are kept clean and pollution-free. When it ...
The Pure Storage launch also follows last month’s update to Cisco Secure AI Factory with Nvidia, which added support for workload data fabrics. That release hinged on integration with AI operating ...
Gartner this week convened its annual Data and Analytics Summit Americas conference, which was held online again due to the coronavirus pandemic. From the role of AI in data management to avoiding ...