ESG, on Aug 31, 2022
Between data quality issues, distributed data, over-burdened teams, rising costs, and increased risk, the complexity of today’s data ecosystem hinders democratization of data and analytics. This is a big reason organizations are turning to DataOps, an agile, automated, and process-oriented methodology used by data stakeholders to improve the quality, delivery, and management of data and analytics.
Understand the current state of the edge computing environment, including budgets and prioritization. Determine the key drivers, challenges, benefits, and use cases for edge computing. Get an accurate picture of edge infrastructure, network, security, and data environments. Identify vital players and their roles/influence for enabling edge environments.
ESG, on Aug 31, 2022
Determine the extent to which organizations have shifted power to new personas who influence and make decisions when it comes to utilizing an analytics platform that enables rapid and reliable insight. Understand the tipping point for all data stakeholders, including data engineers, IT, developers, and end-users who enable the democratization of data and analytics platforms to the business. Gain insights into what matters most to businesses and end-users based on where they are in their data-centric journey, from data engineering and tooling to automation and collaboration. Gauge buyer preferences for different capabilities, features, and guidance to help enable data-driven success.
Paul Nashawaty, on Aug 30, 2022
Organizations continue to look for ways to modernize their heritage production applications. Most are employing cloud-native application strategies with multiple public cloud providers. They'll need unified microservices architectures to achieve the application portability that is essential in managing multiple clouds in hybrid models where on-premises apps still play important roles and to lay the foundation for an entirely cloud-first future.
Paul Nashawaty, on Aug 30, 2022
Understanding the benefits and challenges of developing and deploying cloud-native applications is key to success. Security, integration, and the developer skills gap are among the biggest microservices hurdles, while developer velocity, app portability, and infrastructure independence lead the list of advantages.
Mike Leone, on Aug 30, 2022
More organizations are turning to the public cloud to support data initiatives, many of them using cloud services from both cloud providers and third-party software vendors. Within 12 months, sizable majorities of organizations plan to run various data management and analytics tools on public cloud infrastructure. Hybrid environments that also include on-premises systems often need to be maintained, but investments in cloud-based technologies clearly are on the rise to help meet data-driven business goals.
The public cloud is a good match for modern data needs and goals, and organizations increasingly recognize that as part of their data analytics strategy. The benefits they’re gaining will drive further adoption of public cloud services to support data initiatives. But there are challenges that must be overcome to ensure that cloud analytics deployments are successful. This research provides insight into the top benefits and challenges of using the cloud.
Mike Leone, on Aug 25, 2022
The need for rapid insight is forcing organizations to prioritize agility, transparency, and speed across their data ecosystems with a goal of improving operational efficiency, improving collaboration, and accelerating time to value from investments in support of data-driven initiatives. But organizations need help ensuring seamless orchestration, appropriate management, and timely delivery of data in support of the people, tools, processes, and environments that fuel their business. Between data quality issues, distributed data, tool proliferation, overburdened and under-skilled teams, rising costs, and increased risk, the complexity of today’s data ecosystem hinders democratization of data and analytics. This is a big reason why organizations are turning to DataOps—an agile, automated, and process-oriented methodology used by data stakeholders to improve the quality, delivery, and management of data and analytics. And the wide belief is that establishing DataOps will set organizations up for success as they look to achieve a data-driven future through an agile, process-oriented approach to securely accessing and analyzing data at scale.
ESG, on Aug 11, 2022
The ransomware threat is a top-of-mind issue for many organizations, but few feel totally prepared for an attack. IT organizations are building their own processes to respond, but many are confused about the scope of what is to be included and even who is responsible for the implementation. In order to establish a framework for modern ransomware preparedness, ESG surveyed IT and cybersecurity professionals personally involved with protecting against ransomware attacks and developed the 5 pillars of ransomware preparedness.
Paul Nashawaty, on Aug 1, 2022
The clear path to cloud-native applications is to use modern methodologies such as DevOps and agile development on modern application platforms and "developer-ready" infrastructure. However, the self-reported maturity of organizations in their use of modern methodologies is not substantiated by development KPIs, such as hourly code production, and most are hobbled by an IT skills gap. Choosing the right platform and building internal skills are critical in implementing the development methodologies needed for successful cloud-native deployments.
John Grady, on Aug 1, 2022
Security threats are on the upswing, businesses are hastening digital transformation plans, IT infrastructures are accelerating toward the cloud, and hybrid and remote workforces are the new reality. Enterprises have stepped up efforts to protect an expanding attack surface and the vulnerable access points of corporate-owned devices and BYODs. As a result, zero trust network access (ZTNA), barely on the radar screen as part of an end-user computing (EUC) strategy a short time ago, is now a top-of-mind consideration among IT professionals. Yet, compared to other established EUC strategy components, zero trust deployments in most corporations are just in the early innings.
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