There are lots of analytics platforms out there. And while they’re all vying for the same customers, they tend to break down…
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Autonomous Data Pipelines: Motivation, Approach and Efficacy
For decades now, data pipelines have been authored manually, either through hand-coding or interactive visual design. This has resulted in operational brittleness…
RegisterKey Criteria for Evaluating Data Pipelines
In a data-obsessed world, the ability to leverage data for quick business insights is vital. At the same time, organizations must be…
Read MoreGigaOm Radar for Data Pipelines
In a data-obsessed world, dealing with big data has its advantages and challenges. In order to mitigate the challenges and make better…
Read MoreGigaOm Radar for Graph Databases
Graph databases focus on cataloging entities and the relationships between them, an approach and technology once considered niche. While the technology has…
Read MoreKey Criteria for Evaluating Graph Databases
Although graph database technology has been around for more than 20 years, it has only recently grown in popularity, with significant adoption…
Read MoreGigaOm Sonar Report for Computational Storage
Computational storage emerged in response to the growing need for high-performance compute resources for highly specialized tasks located close to data storage…
Read MoreGigaOm Sonar for Storage as a Service Consumption Models
In contrast with traditional purchasing models, in which users acquire hardware, software, and services, and manage the infrastructure on their own, Storage-as-a-Service…
Read MoreKey Criteria for Evaluating Data Governance Solutions
In this era of digital transformation, organizations looking to gain and maintain their competitive edge are constantly trying to improve the value…
Read MoreGigaOm 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 of…
Read MoreGigaOm Radar for Cloud File Systems
File storage is a critical component of every hybrid cloud strategy, and enterprises often prefer this type of storage over block and…
Read MoreKey Criteria for Evaluating Primary Storage
Until recently, mission- and business-critical functions in large enterprises were concentrated in a few monolithic applications based on traditional relational databases. In…
Read MoreEnterprise Analytic Solutions 2021
Enterprises from every industry and at every scale are working to leverage data to achieve their strategic objectives—whether those are to become…
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The Future of Data Agility in the World’s New Normal
The pandemic may be receding, but emergent situations like fires, hurricanes, and other events disruptive to business continue to arise frequently. The…
Watch NowGigaOm Radar for Master Data Management
The economic payback of master data management starts with “build once, use often.” Master data must be accessible to each new application…
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Breaking Storage Trade-Offs with Do-it-All Storage. Is This Really Possible?
Join GigaOm analyst Enrico Signoretti, Jeff Denworth, Co-founder and CMO of VAST Data, as they explore the latest technology available and how…
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Enterprise Readiness of Cloud MLOps
MLOps is a practice for collaboration between data science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning”…
Read MoreGigaOm Radar for Automated Machine Learning (AutoML)
Automated machine learning (AutoML) is regarded as a “quiet revolution” in AI. But what makes AutoML revolutionary is not just automation and…
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