Data sprawl has emerged as a significant challenge for enterprises, characterized by the proliferation of data across multiple systems, locations, and applications. This widespread dispersion complicates efforts to manage, integrate, and extract value from data. However, the rise of data fabric and the integration of Platform-as-a-Service (iPaaS) technologies offers a promising solution to these challenges […]
What Is a Data Dictionary? Definition and Benefits
A data dictionary describes data in business terms, including information about the data. It includes elements like data types, structure details, and security restrictions. Unlike business glossaries, which focus on data across the organization, data dictionaries support data architectures – the technical infrastructures that connect a Business Strategy and Data Strategy with technical execution. This support references high-quality metadata that describes data platform attributes […]
Top Data Migration Considerations for Data Teams
Organizations have become highly data-centric in the past years, increasing complications and costs as the volume of data rose. However, data integrity issues alone cost organizations $12.9 million annually, on average, according to Gartner. Because of this, data professionals have spent valuable time, resources, and brainpower on identifying and solving data issues rather than higher-value tasks. […]
What Technologies Should I Include in My Digital Transformation Strategy?
If your enterprise is about to undertake a digital transformation (Dx) project, you should understand that these initiatives require a focus on more than the technology itself. To succeed with a digital transformation strategy, the business must focus on business processes, day-to-day activities and tasks, and the culture within the organization, so that the environment […]
A Brief History of Business Intelligence
In 1865, Richard Millar Devens presented the phrase “Business Intelligence” (BI) in the “Cyclopædia of Commercial and Business Anecdotes.” He used it to describe how Sir Henry Furnese, a banker, profited from information by gathering and acting on it before his competition. More recently, in 1958, an article was written by an IBM computer scientist […]
A Powerful Pair: Modern Data Warehouses and Machine Learning
Artificial intelligence (AI) technologies like machine learning (ML) have changed how we handle and process data. However, AI adoption isn’t simple. Most companies utilize AI only for the tiniest fraction of their data because scaling AI is challenging. Typically, enterprises cannot harness the power of predictive analytics because they don’t have a fully mature data strategy. To […]
Data Lakehouses: The Future Of Data Migration
It’s no surprise that, in 2023, business enterprises want to become truly data-driven organizations. For many of these organizations, the path toward becoming more data-driven lies in the power of data lakehouses, which combine elements of data warehouse architecture with data lakes. Data lakehouse architecture is particularly attractive to businesses that want to more rapidly […]
Data Mesh Architecture Benefits and Challenges
ThoughtWorks consultant Zhamak Dehghani created the concept of data mesh as a self-serve, domain-oriented design that later evolved into a data-as-a-product design. By integrating and analyzing data from disconnected systems all at once, the data mesh architecture benefits the organization by eliminating the need to pull data from multiple systems and preprocess it. In a […]
Are Data Warehouses Still Relevant?
Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. The emergence of advanced data storage technologies, such as cloud computing, data hubs, and data lakes, makes us question the role of traditional data warehouses in modern data architecture. Data warehouses were first introduced in the […]
Cloud Computing Trends in 2023
The trends in cloud computing are an expression of the cloud services that people and businesses find useful. Public cloud providers offer a broad range of software and services that are generally quicker and more flexible than the in-house versions. In the last few decades, many businesses have included cloud computing as a part of […]