When it comes to cloud migration, there’s a lot to consider – which workloads should be migrated, how much storage space is needed, which cloud provider is best for your workloads, not to mention how much it will cost. But the biggest mistake that organizations can make when migrating to the cloud is not asking these questions […]
Data Security Posture Management (DSPM): A Technical Explainer
Data is growing on a massive scale – it spreads across geographies, systems, networks, SaaS applications, and multi-cloud. Similarly, data security breaches are following suit and increasing in number (and sophistication) every year. Organizations must modernize their approach to cybersecurity and start giving equal attention to data and infrastructure. Here, data security posture management (DSPM) comes into the […]
Observability Maturity Model: A Framework to Enhance Monitoring and Observability Practices
Imagine this heartfelt conversation between a cloud architect and her customer who is a DevOps engineer: Cloud architect: “How satisfied are you with the monitoring in place?” DevOps engineer: “It is all right. We just monitor our servers and their health status – nothing more.” Cloud architect: “Is that the desired state of monitoring you […]
AI and Big Data: How Artificial Intelligence Is Transforming the Business Landscape
For as long as people have been conducting business, they have been using technology to enhance their efforts. In the late 18th century, industrial technology launched a revolutionary era of accelerated business growth. And in the late 20th century, the digital revolution transformed the business world again, leveraging AI and big data to boost efficiency […]
Developing a Digital Transformation Framework
In today’s world, digital transformation is no longer an option. Instead, it is a necessity for businesses to stay competitive. The rapid pace of technological advancements, coupled with changing consumer behavior and expectations, has forced companies to rethink their strategies and embrace digital transformation. In fact, a recent study by McKinsey & Company found that […]
You Are Overspending on Cloud and SaaS: Here’s Why and What to Do
The shift to public cloud, private cloud, and SaaS is ubiquitous and occurring at an accelerating pace. The benefits of well-known cloud services and infrastructure are easier to deploy and manage and, typically, are cheaper and more efficient than operating a data center. Those same benefits, however, also introduce the potential for overspending, orphaned resources, and duplicate […]
Master Data Management Best Practices
Modern businesses can stay competitive by using the best practices for master data management (MDM). These best practices promote the use of clean, accurate data about suppliers, customers, and products. This, in turn, supports better analytics and business decisions. A master data management solution supports the development of master data, which can provide consistent, accurate data […]
Containers vs. Virtual Machines (and Why It Matters for Data Center Professionals)
In the world of IT not so very long ago, there was a significant shift that transformed the way we manage and deploy applications. Virtualization, a technology that made traditional infrastructure more efficient, gained immense popularity among Microsoft SQL Server professionals. However, the IT industry is constantly evolving, and now containerization has emerged as the latest […]
DAS Webinar: Why You Need Data Management – Getting Executive Buy-In
Download the slides here>> This webinar is sponsored by: About the Webinar Becoming a data-driven organization is an increasingly important goal for organizations across all industries. But while the need for analytics, business intelligence (BI), and artificial intelligence (AI) is often quickly apparent, the “back end” of Data Management is often a harder sell. […]
What Is a Data Warehouse?
A data warehouse is a centralized repository that stores and provides decision-support data and aids workers engaged in reporting, query, and analysis. Data warehouses represent architected data schemas that make it easy to find relevant data consistently and research details in a stable environment. Data sources, including data lakes, can pipe data to a data warehouse. […]