Ventana Research Analyst Perspectives

About the Analyst

Matt Aslett

Matt leads the expertise in Digital Technology covering applications and technology that improve the readiness and resilience of business and IT operations. His focus areas of expertise and market coverage include: analytics and data, artificial intelligence and machine learning, blockchain, cloud computing, collaborative and conversational computing, extended reality, Internet of Things mobile computing and robotic automation. Matt’s specialization is in operational and analytical use of data and how businesses can modernize their approaches to business to accelerate the value realization of technology investments in support of hybrid and multi-cloud architecture. Matt has been an industry analyst for more than a decade and has pioneered the coverage of emerging data platforms including NoSQL and NewSQL databases, data lakes and cloud-based data processing. He is a graduate of Bournemouth University.

Recent Posts

Cockroach Labs Brings Developers and Serverless Database Together

Posted by Matt Aslett on Dec 2, 2021 3:00:00 AM

Breaking into the database market as a new vendor is easier said than done given the dominance of the sector by established database and data management giants, as well as the cloud computing providers. We recently described the emergence of a new breed of distributed SQL database providers with products designed to address hybrid and multi-cloud data processing. These databases are architecturally and functionally differentiated from both the traditional relational incumbents (in terms of global scalability) and the NoSQL providers (in terms of the relational model and transactional consistency). Having differentiated functionality is the bare minimum a new database vendor needs to make itself known in a such a crowded market, however.

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Topics: Cloud Computing, Data, Digital Technology, Digital transformation, Digital Business, data platforms, Analytics and Data

The Potential for Hybrid and Multicloud Platforms to Safeguard Data

Posted by Matt Aslett on Nov 24, 2021 3:00:00 AM

It has been clear for some time that future enterprise IT architecture will span multiple cloud providers as well as on-premises data centers. As Ventana Research noted in the market perspective on data architectures, the rapid adoption of cloud computing has fragmented where data is accessed or consolidated. We are already seeing that almost one-half (49%) of respondents to Ventana Research’s Analytics and Data Benchmark Research are using cloud computing for analytics and data, of which 42% are currently using more than one cloud provider.

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Topics: Data, data lakes, data operations, data platforms

Google Cloud Advances to Multi-Cloud

Posted by Matt Aslett on Nov 11, 2021 3:00:00 AM

Enterprises looking to adopt cloud-based data processing and analytics face a disorienting array of data storage, data processing, data management and analytics offerings. Departmental autonomy, shadow IT, mergers and acquisitions, and strategic choices mean that most enterprises now have the need to manage data across multiple locations, while each of the major cloud providers and data and analytics vendors has a portfolio of offerings that may or may not be available in any given location. As such, the ability to manage and process data across multiple clouds and data centers is a growing concern for large and small enterprises alike. Almost one-half (49%) of respondents to Ventana Research’s Analytics and Data Benchmark Research study are using cloud computing for analytics and data, of which 42% are currently using more than one cloud provider.

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Topics: Analytics, Cloud Computing, Data Governance, Data Integration, Data, Digital Technology, data lakes, AI and Machine Learning, data operations, data platforms

Why I Joined Ventana Research to Advance Digital Technology

Posted by Matt Aslett on Oct 30, 2021 3:00:00 AM

I am very happy to announce that I have joined Ventana Research to help lead the expertise area of Digital Technology, including Analytics and Data, Cloud Computing, Artificial Intelligence and Machine Learning, the Internet of Things, Robotic Automation, and Collaborative and Conversational Computing. While the breadth of applications and technology covered by our Digital Technology practice is broad, I will naturally make use of my decades of experience covering data platforms and analytics to help organizations improve the readiness and resilience of business and IT operations.

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Topics: Digital Technology