Data lakehouses are systems that collect, store, manage, and process data for use in analytics workloads such as business intelligence (BI),…
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Demystifying data fabrics – bridging the gap between data sources and workloads
The term “data fabric” is used across the tech industry, yet its definition and implementation can vary. I have seen this…
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Data Fabric Field Test: SAP vs. DIY
Interest in building a data fabric is very high, and for good reason. By enabling real-time, trustworthy data across multiple clouds,…
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Commissioned Research
CxO Decision Brief: Data Fabric Solutions and SAP Datasphere
In the intricate landscape of modern data management, where information is strewn across cloud services and on-premises storage, the adoption of…
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GigaOm Radar for Data Access Governance
Data access governance furnishes secure access controls to the enterprise data organizations rely on for operations, analytics, and competitive advantage. It…
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GigaOm Radar for Data Lakes and Lakehouses
Data lakehouses are platforms intended to combine the flexibility of data lakes with the governance, structural optimizations, and query processing technologies…
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GigaOm Key Criteria for Evaluating Data Access Governance Solutions
Data access governance is an enterprise discipline for providing secure, controlled access to data assets in accordance with established organizational policies.…
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GigaOm Sonar Report for Data Fabric Solutions
A data fabric is an emerging approach to data architecture, comprehensively connecting all of an organization’s data sources and data processing…
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GigaOm Radar for Data Lakes and Lakehouses
Organizations need to manage data on a large scale that is stored in different formats—structured, unstructured, or semi-structured—without having to rely…
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GigaOm Radar for Data Governance
Data governance refers to the curation and protection of an organization’s data. In recent years, two market factors have reshaped data…
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GigaOm Radar for Data Virtualization: Enterprise Vendors
The biggest obstacle that organizations face in using data to achieve mission-critical goals is the sheer variation in datasets that they…
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GigaOm Radar for Data Virtualization: Pure-Play Vendors
The most challenging aspect of leveraging data for contemporary organizations isn’t the enormous quantity of data or the real-time speeds at…
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GigaOm Radar for Data Quality Platforms: Data Quality Remediation
Data quality reflects the completeness, accuracy, reliability, and related attributes of data. There are numerous platforms for managing data quality designed…
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The Business Case for Data Fabric
The essential role of integration in your data fabric design
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Key Criteria for Evaluating Data Virtualization Solutions
The diversity of the data ecosystem within modern enterprises is one of the most difficult aspects of managing data today. Companies…
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GigaOm Radar for Data Governance Solutions
In the era of digital transformation, organizations employ analytics to gain and maintain a competitive edge by constantly improving the value…
Read MoreWho is NetApp?
At Cloud Field Day 9 Netapp presented some of its cloud solutions. This comes on the heels of NetApp Insight, the…
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Commissioned Research
The Foundation of Your AI/ML Infrastructure
Data creation, storage, and consumption have dramatically changed in the last few years, from both consumer and enterprise perspectives. Most human-…
Read MoreStorage Field Day 19 RoundUp
Next week I’ll be attending Storage Field Day 19. As you probably already know this event is part of the Tech…
Read MoreNetApp Fabric Orchestrator, One More Step in the Right Direction
NetApp has made a huge strategy shift a few years ago and has been transitioning from being a traditional storage company…
Read MoreNetApp Data Availability Services Integrate On-Premises & Cloud as One
At the end of February 2019, at Storage Field Day 18, NetApp presented another tool aimed at integrating its on-premises solutions…
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