Digital twins can present a virtual replica of physical components, processes, or systems to enable improved understanding of the performance characteristics of such entities. With digital twins, industry operators can visualize, predict, and optimize the performance of individual components within a system or process, or the entire process from a remote location. According to Microsoft, […]
What Role Does the Mainframe Play in Today’s Data-Driven Landscape?
The mainframe industry is at a pivotal moment in its history – the need for increased compliance requirements, the desire for tighter networks with customers, the growing cloud environment, cost pressures, the need for modern user experience, etc., all contribute to the growing need for mainframe modernization. According to a recent report from Forrester, 67% of enterprise infrastructure […]
Today’s Decentralized World: Driving a Shift in Three Key Paradigms for Data Management
Pre-COVID data scaling, performance, and data services were largely manageable within the corporate data center. But the last several years have seen enterprises decentralize their data and IT systems, while employees now work remotely across different locations and geographies. This massive increase in remote work arrangements has created additional challenges around managing data access and […]
Cloud Data Management Challenges and Best Practices
Data sources are increasing at an accelerating pace, and so is the volume of data. In 2021, it was reported that 79 zettabytes of data were generated across the globe. The ceaseless growth in data volume has brought with it numerous challenges, with most of the challenges associated with access management, data security, and regulatory […]
Databases vs. Hadoop vs. Cloud Storage
How can an organization thrive in the 2020s, a changing and confusing time with significant Data Management demands and platform options such as data warehouses, Hadoop, and the cloud? Trying to save money by bandaging and using the same old Data Architecture ends up pushing data uphill, making it harder to use. Rethinking data usage, storage, and computation is […]
The Growing Energy Demands of Data Storage
Awareness provides the power to adapt for the better. As digital becomes ever more immersive, there is a hidden cost of technology directly impacting the environment around us. The energy demands of modern-day data storage are incredibly vast. The question is: How can we address the consequences of this? Behind everything we do is data, […]
The Ideal Data Fabric Architecture for Business Transformation
Data fabric is redefining enterprise data management by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. Many enterprises are already extracting business-relevant intelligence by putting their data to work through an efficient data fabric architecture. This article gives an expert outlook on the key ingredients that go into building […]
How Today’s Digital-Native Businesses Are Securing the Open Data Lakehouse
Today, we’re seeing more companies embrace cloud-based technologies to deliver superior customer experiences. An underlying architectural pattern is the leveraging of an open data lakehouse. That is no surprise – open data lakehouses can easily handle digital-era data types that traditional data warehouses were not designed for. Data warehouses are great at both analyzing and storing […]
DAS Webinar: Data Governance & Data Architecture – Alignment and Synergies
To view just the slides from this presentation, click HERE>> About the Webinar The definition of Data Governance can vary depending on the audience. To many, Data Governance consists of committees and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both aspects, and a robust Data Architecture […]
DAS Slides: Data Governance & Data Architecture – Alignment and Synergies
To view the on-demand recording from this presentation, click HERE>> About the Webinar The definition of Data Governance can vary depending on the audience. To many, Data Governance consists of committees and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both aspects, and a robust Data Architecture can […]