Artificial intelligence (AI) could boost company productivity by 1.5%, increasing S&P 500 profits by 30% over the next 10 years. The rapid success of generative AI technologies such as ChatGPT is an excellent example of how companies can shape their fortunes by harnessing the power of the data they hold. The insights from data enable businesses across […]
Understanding Data Mesh Principles
ThoughtWorks consultant Zhamak Dehghani defines data mesh as a “decentralized sociotechnical approach to sharing, accessing, and managing analytical data in complex and large-scale environments – within or across organizations.” This type of Data Architecture continues to generate interest among corporations, and data professionals will need to become familiar with data mesh architectures, such as those with data lakes or warehouses. […]
Common Types of Cloud Computing
Before the cloud era, businesses had to rely on in-house data centers and internal hardware and software infrastructures to conduct online business. Organizations had to make substantial investments to set up their websites and networks. Additionally, each business had to hire the right people to manage and monitor their infrastructures. This approach not only added to the […]
Leveraging Data Stream Processing to Improve Real-Time Data Analysis
Data stream processing is rapidly emerging as a critical technology for modernizing enterprise applications and improving real-time data analysis for data-driven applications. As businesses become more reliant on real-time data analysis, data stream processing enables them to analyze and process large amounts of data in real time, providing timely insights and enabling informed decision-making. Traditionally, […]
Developing a Cloud Migration Strategy
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 […]
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 […]