The migration of on-premises applications to the cloud has become more than just a technological shift; it’s a strategic imperative for enterprises. This transition, driven by the need for competitiveness, agility and responsiveness in a rapidly evolving business environment that operates at the speed of digital, is not a simple task. It requires a careful balance between the technology roadmap and the strategic business objectives of the organization.
Read More
Topics:
Cloud Computing,
Digital Technology,
CloudOps,
Migration
The increasing importance of intelligent operational applications driven by artificial intelligence (AI) is blurring the lines that have traditionally divided the requirements between operational and analytic data platforms. Operational data platforms have traditionally been deployed to support applications targeted at business users and decision-makers to run the business, with analytic data platforms typically supporting applications used by data and business analysts to analyze the business.
Read More
Topics:
embedded analytics,
Cloud Computing,
Analytics & Data,
operational data platforms,
Analytic Data Platforms,
AI and Machine Learning
Ventana Research recently announced its 2024 Market Agenda for Digital Technology. This agenda is designed to provide expertise to enterprises across various industries, helping them prioritize technology investments that enhance workforce effectiveness, customer engagement and enterprise agility. Digital Technology is especially important for CIO and Chief Digital Officers looking to rationalize and modernize their IT portfolio. Our expertise will see a significant expansion on this topic in...
Read More
Topics:
Business Continuity,
Cloud Computing,
IT Service Management,
Digital Technology,
Digital Security,
Observability,
DevOps and Platforms,
IoT and Edge Computing,
Intelligent Automation,
ITOps
In recent years, many enterprises have migrated data platform workloads from on-premises infrastructure to cloud environments, attracted by the promised benefits of greater agility and lower costs. The scale of cloud data platform adoption is illustrated by Ventana Research’s Data Lakes Dynamic Insights research: For two-thirds (66%) of participants, the primary data platform used for analytics is cloud based. As the quantity and importance of the data platform workloads deployed in the cloud...
Read More
Topics:
business intelligence,
Cloud Computing,
data operations,
robotic automation,
Analytics & Data,
Analytic Data Platforms,
AI and Machine Learning
Discussion about potential deployment locations for analytics and data workloads is often based on the assumption that, for enterprise workloads, there is a binary choice between on-premises data centers and public cloud. However, the low-latency performance or sovereignty characteristics of a significant and growing proportion of workloads make them better suited to data and analytics processing where data is generated rather than a centralized on-premises or public cloud environment. ...
Read More
Topics:
Cloud Computing,
Internet of Things,
Data,
Digital Technology,
Analytics & Data,
operational data platforms,
Analytic Data Platforms,
AI and Machine Learning
I recently discussed how fashion has a surprisingly significant role to play in the data market as various architectural approaches to data storage and processing take turns enjoying a phase in the limelight. Pendulum swing is a theory of fashion that describes the periodic movement of trends between two extremes, such as short and long hemlines or skinny and baggy/flared trousers. Pendulum swing theory is similarly a factor in data technology trends, with an example being the oscillation...
Read More
Topics:
Analytics,
Cloud Computing,
Data Management,
Data,
Digital Technology,
data operations,
Analytics & Data,
AI and Machine Learning
I previously described how Oracle had positioned its database portfolio to address any and all data platform requirements. The caveat to that statement at the time was that any organization wanting to take advantage of the company’s flagship Oracle Autonomous Database could only do so using Oracle Cloud Infrastructure (OCI) cloud computing service, their own datacenter or a hybrid cloud environment. The widespread popularity of Oracle Database and the advanced automation capabilities delivered...
Read More
Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data Management,
Data,
Digital Technology,
Analytics & Data,
operational data platforms,
Analytic Data Platforms,
AI and Machine Learning
I recently articulated some of the reasons why IT teams can fail to deliver on the business requirements for data and analytics projects. This is an age-old and multifaceted problem that is not easily solved. Organizations have a role to play in alleviating the issue by ensuring that their business processes and project planning support a collaborative approach in which business and IT professionals work together. Data and analytics product vendors can also help by delivering products that are...
Read More
Topics:
Cloud Computing,
Data Governance,
Data Management,
Data,
Digital Technology,
Analytics & Data,
AI and Machine Learning
I have previously written about the functional evolution and emerging use cases for NoSQL databases, a category of non-relational databases that first emerged 15 or so years ago and are now well established as potential alternatives to relational databases. NoSQL is a term used to describe a variety of databases that fall into four primary functional categories: key-value stores, wide-column stores, document-oriented databases and graph databases. Each is worthy of further exploration, which is...
Read More
Topics:
Cloud Computing,
Data,
Digital Technology,
Analytics & Data,
operational data platforms
I previously wrote about the challenge facing distributed SQL database providers to avoid becoming pigeonholed as only being suitable for a niche set of requirements. Factors including performance, reliability, security and scalability provide a focal point for new vendors to differentiate from established providers and get a foot in the door with customer accounts. Expanding and retaining those accounts is not necessarily easy, however, especially as general-purpose data platform providers...
Read More
Topics:
Analytics,
Cloud Computing,
Data,
Digital Technology,
Analytics & Data,
Streaming Data & Events,
Analytic Data Platforms,
AI and Machine Learning