In theory, data lakes sound like a good idea: One big repository to store all data your organization needs to process, unifying myriads of data sources. In practice, most data lakes are a mess in one ...
Cybersecurity defenses have long prioritized network, application and identity protection — but not data security, where a critical gap has persisted. That layer is exactly where Superna Inc. has ...
Axoflow, leader in security data management, today launched its Security Data Layer, extending its pipeline offering with multiple storage solutions. The Security Data Layer addresses critical ...
Google Cloud has announced the preview of its data lake storage engine, BigLake, as part of its aim to remove all "limits of data" as well as break the barrier between data lakes and warehouses. As ...
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 ...
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: ...
Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...
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Dremio Cloud leaps big data in a single bound with a fast SQL engine and optimizations that can accelerate queries dramatically. Plus it lets you use other engines on the same data. Data lakehouses, ...
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