Cloud migration involves moving an organization’s data, applications, digital services, databases, and other IT resources to the cloud environment. A cloud migration strategy contains the blueprint for making this move happen. According to Gartner, more than 45% of IT spending will shift from traditional data-processing platforms to the cloud by 2024. This observation reaffirms the cloud platform’s popularity as […]
Cloud Architecture Mistakes: Inadequate Showback and Chargeback Options Escalate Costs
In this five-part series, I’m taking a hard look at the common – and costly – mistakes organizations typically make while building a cloud architecture. Part one explained how organizations can quickly lose visibility and control over their data processing,and detailed how to avoid that mistake. Part two looked at why a DIY approach often […]
Cloud Architecture Mistakes: The High Costs of a DIY Mindset
This is a five-part series about the costly mistakes organizations commonly make while building a cloud architecture. Part one explained how organizations moving to the cloud can quickly lose visibility and control over their data processing and detailed how to avoid that mistake. Part two looks at the ways doing it yourself can go wrong. What would […]
How to Become an Enterprise Architect
The role of enterprise architect ranked as Glassdoor’s best job in America in 2022 in terms of salary, job satisfaction, and available positions. Yet enterprise architecture is among the most routinely misunderstood professions in the corporate world, straddling the divide between the business and IT. What does an enterprise architect do every day, and what skills and […]
Innovating with Data Mesh and Data Governance
Large organizations want to create a flexible environment to innovate and respond quickly based on new data insights. But at the same time, these businesses want some structure for good Data Quality, data fit for consumption, simplifying and speeding up data access. Using a data mesh, which is a decentralized data architecture (collecting, integrating, and analyzing […]
The Competition Between On-Prem and Cloud Is Over – Hybrid Wins
Many organizations, when faced with the question of how to manage their workloads, ask themselves: on-premises or cloud, pitting the two against each other. But the reality is that most enterprises are operating in the world of “and,” meaning they have workloads on-prem and in the cloud – and that little three-letter word makes a world of difference. According to the State […]
Achieving Smoother, Quicker Data Modeling
When the Navy SEALS embraced its motto, “Slow is smooth, and smooth is fast,” they may as well have been discussing building data models in the same breath. The SEALS chose the phrase to remind its participants not to rush but to act thoughtfully and deliberately. Data Modeling does the same thing by helping businesses design and update data architectures […]
Cloud Architecture Mistakes: Losing Visibility and Control Over Data Processing
This is a five-part series of articles examining five critical mistakes organizations face when building a cloud architecture, and how those mistakes can lead to soaring costs and inefficient – even risky – data management. In making their digital transformations, organizations too often lose visibility and control of their data right from the beginning. They can […]
Observability: Traceability for Distributed Systems
Have you ever waited for that one expensive parcel that shows “shipped,” but you have no clue where it is? The tracking history stopped updating five days ago, and you have almost lost hope. But wait, 11 days later, you have it at your doorstep. You wished the traceability could have been better to relieve […]
Data Pipelines: An Overview
Just as vendors rely on U.S. mail or UPS to get their goods to customers, workers count on data pipelines to deliver the information they need to gain business insights and make decisions. This network of data channels, operating in the background, distributes processed data across computer systems, an essential framework and function for any data-driven […]