I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Data Orchestration Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to data vendors supporting the spectrum of...
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Topics:
Data,
data operations,
Data Orchestration
The 2023 Ventana Research Buyers Guide for Data Orchestration research enables me to provide observations about how the market has advanced.
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Topics:
Data,
data operations,
Data Orchestration
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Data Pipelines Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Data vendors supporting the spectrum of Data...
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Topics:
Data,
data operations,
Data Pipelines
The 2023 Ventana Research Buyers Guide for Data Pipelines research enables me to provide observations about how the market has advanced.
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Topics:
Data,
data operations,
Data Pipelines
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 DataOps Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Data vendors supporting the spectrum of DataOps....
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Topics:
Data,
Data Ops,
data operations
I previously described how Databricks had positioned its Lakehouse Platform as the basis for data engineering, data science and data warehousing. The lakehouse design pattern provides a flexible environment for storing and processing data from multiple enterprise applications and workloads for multiple use cases. I assert that by 2025, 8 in 10 current data lake adopters will invest in data lakehouse architecture to improve the business value generated from the accumulated data.
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Topics:
Analytics,
Business Intelligence,
Data Governance,
Data Management,
Data,
Digital Technology,
AI & Machine Learning,
Analytics & Data,
analytic data platforms
The 2023 Ventana Research Buyers Guide for DataOps research enables me to provide observations about how the market has advanced.
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Topics:
Data,
Data Ops,
data operations
The data platforms market may appear to have little or nothing to do with haute couture, but it is one of the data sectors most strongly influenced by the fickle finger of fashion. In recent years, various architectural approaches to data storage and processing have enjoyed a phase in the limelight, including data warehouse, data mart, data hub, data lake, cloud data warehouse, object storage, data lakehouse, data fabric and data mesh. These approaches are often heralded as the next big thing,...
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Topics:
Cloud Computing,
Data Governance,
Data Management,
Data,
Digital Technology,
data operations,
AI & Machine Learning,
Analytics & Data,
Streaming Data & Events,
analytic data platforms,
Operational Data Platforms
Despite a focus on being data-driven, many organizations find that data and analytics projects fail to deliver on expectations. These initiatives can underwhelm for many reasons, because success requires a delicate balance of people, processes, information and technology. Small deviations from perfection in any of those factors can send projects off the rails.
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Topics:
Analytics,
Business Intelligence,
Data Management,
Data,
Digital Technology,
data operations,
AI & Machine Learning
I have written before about the rising popularity of the data fabric approach for managing and governing data spread across distributed environments comprised of multiple data centers, systems and applications. I assert that by 2025, more than 6 in 10 organizations will adopt data fabric technologies to facilitate the management and processing of data across multiple data platforms and cloud environments. The data fabric approach is also proving attractive to vendors, including Microsoft, as a...
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Topics:
business intelligence,
Analytics,
Cloud Computing,
Data Governance,
Data Management,
Data,
Digital Technology,
AI & Machine Learning,
Analytics & Data,
analytic data platforms