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Premium Research Jul 2024
... Accelerated cloud adoption continues to enable enormous innovation across data management technologies, with some new disruptors like generative AI now entering the mix. Data and analytics leaders can use this research to strategize their system and architecture roadmaps and investments. Analysis Definition ...

Analyst(s):   Aaron Rosenbaum
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Premium Research Jan 2025
... adopted data products as a potential remedy for their growing data challenges, but ultimately struggle to deliver tangible solutions. Data architects and data engineers should adopt a structured approach to architecting and deploying data products for effective delivery of data. About the Speaker Session ...

Analyst(s):   Sagnik Das
Premium Research Sep 2024
... With explosive growth in data generated and captured by organizations, the ability to harness, manage and analyze data is becoming imperative. This research provides data engineering principles, patterns and best practices to help data engineers build data platforms. Overview Strategic Planning Assumption ...

Analyst(s):   Mayank Talwar
Premium Research Mar 2025
... application stack but also data pipelines, warehouses, ML models, security-and-privacy policies, and data governance. This research helps data and analytics leaders to plan for the effects of database changes on all facets of data architecture and governance. Overview Problem Statement The Gartner Approach ...

Analyst(s):   Joe Maguire
Premium Research Jul 2024
... Distributed SQL databases are less commonly used today than centralized transactional RDBMSs or distributed eventually consistent NoSQL databases. This research explores the benefits and cautions of today’s distributed SQL databases for data engineers. Overview Analysis Guidance Gartner Recommended Read ...

Analyst(s):   Lyn Robison
Premium Research Oct 2024
... Generative AI technologies will rapidly transform how data engineers ensure data quality in their data environments. This research provides insight into the use cases, data quality capabilities, and benefits and impacts of large language models on data quality practices. More Detail Gartner Research ...

Analyst(s):   Jason Medd
Premium Research Nov 2024
... Aligning data management initiatives with evolving business priorities has become increasingly challenging. Data architects can use this research to develop a success measurement process that links a data management program’s technical achievements with its business benefits. Overview Analysis Recommendations ...

Analyst(s):   Amy Bickel
Premium Research Sep 2024
... Data-Flow-Related Instrumentation Data-Quality-Related Instrumentation Data Usage Visibility Cost Visibility Telemetry Collector Telemetry Data Store Telemetry Analytics Telemetry Visualization Key Architecture Principles & Patterns Key Architecture Recommendations Gartner Recommended Reading Gartner Research ...

Analyst(s):   Prasad Pore
Premium Research Nov 2024
... Writing SQL code can be a complex and time-consuming task. Text-to-SQL tools try to resolve this challenge, but are in their infancy and lack some advanced capabilities. This research provides insights for data engineers on how and when to use these tools. Overview Analysis Guidance Gartner Recommended ...

Analyst(s):   Lyn Robison
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