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 […]
What Is Data Mesh?
Data mesh is a type of organization and architectural paradigm, or – in simpler words – a distributed architecture for Data Management. The goal is to provide accessibility by distributing the data in the way that the end user needs it. It allows teams to embrace a self-serve data architecture design where they can look at data as […]
The Rise of Cloud Architecture
The rising popularity of cloud architecture signals a central theme: Global businesses in the coming years will migrate their data center operations fully to the cloud, as it offers some inherent advantages over on-premise set-ups. Business survival in the digital age has become synonymous with migration to the cloud. When businesses look for unlimited data storage and […]
2022 DATAVERSITY Top 20
Every December, we here at DATAVERSITY set aside time to dig through our data and reflect on the hits and misses of the year. We want to know: Which content did you, our data-loving readers, consume and enjoy the most? Which Data Management topics and experts helped you learn valuable new skills, succeed at your […]
What Is a Data Lake?
A data lake is an environment where a vast amount of data, of various types and structures, can be ingested, stored, assessed, and analyzed. Data lake technologies can scale to massive volumes of data, and combining datasets is easy with data stored in a relatively raw form. A data lake architecture can centralize data over distributed storage, providing a scalable, […]
The Importance of a Modern Data Architecture
The legacy architecture of some organizations’ data systems may need a serious upgrade to stay competitive. For example, the old architecture of a business may provide a clumsy fit when accessing cloud services and take longer to transfer data and perform tasks within the cloud. This results in higher cloud costs. Additionally, upgrading to a […]
Data Modeling Trends in 2023: A Refresh
Data Modeling, the practice of diagramming Data Architecture and aligning core business rules with data definitions, will go through a refresh in 2023. Organizations will assess and make over their data fabrics, which describe distributed Data Management systems. Furthermore, managers and project teams will use data models to optimize business processes with their data assets and allocate resources to achieve […]
Data Architecture 101
The term “data architecture” is defined as a set of models, policies, rules, and standards governing data flow and management within an organization. Thus, data architecture, a subset of enterprise architecture, involves the operating rules governing data-related activities like data capture, data storage, data integration, and data usage. In other words, this collection of models, standards, […]
How a Stateless Data Architecture Can Enable You to Harness the Power of Today’s Agile Data
Technologies are sometimes categorized as stateful or stateless. The terms can apply to applications or communication protocols, for example. A stateful application saves data generated by each client session and uses it the next time the client makes a request. A stateless application doesn’t save client data from one session to the next. We can […]