Venture Logistics, a full-service trucking and logistics company, was facing a challenge in communicating data between its transportation management system (TMS) and clients. “We were always behind the eight ball, which lead to our customers telling us that our data failed and we’d missed out on orders or missed out on payments,” said Tom Jeffries, […]
Data Architect vs. Data Modeler vs. Data Engineer
Michael Bowers, author and Chief Data Architect at FairCom Corporation, initially set out to research three careers in his presentation titled Data Architect vs. Data Modeler vs. Data Engineer for the DATAVERSITY® Data Architecture Online 2019 Conference. The process brought him to a wealth of information he would have appreciated much earlier in his career, […]
What Enterprise Architecture Does for Organizations
Enterprise Architecture helps growing businesses and corporations to realize their strategic goals. It applies architectural principles to help large or growing organizations to navigate the changes that influence business, information, and technology in the modern world. Enterprise Architecture supports businesses in creating competitive advantages, reducing risk, and promoting cost-efficiency and scalability. Enterprise Architecture (EA) came […]
Case Study: Helsana Automates Their Data Warehouse Infrastructure
Switzerland’s largest health insurance provider Helsana serves one out of every four insured, which translates into 1.9 million customers and 6.4 billion Swiss francs in sales annually. In the past, innovation had been prevented by reliance on hand-coding, manual processes, and institutional knowledge held by individuals, said Gallus Messmer, data warehouse architect at Helsana — […]
Blockchain Trends in 2020
2020 is likely the year when blockchain technologies will witness higher adoption rates and usage across industry niches. As announced in 2019, China may lead the way to substantial investment in blockchain research and applications. The largest cryptocurrency exchanges are in China, and this year may see some dramatic deployment shifts from the multi-cloud blockchains […]
Data Architecture Trends in 2020
Data Architecture is tightly entwined with Data Strategy. It is the infrastructure to realize Data Strategy goals; the blueprint for managing data. It’s a big tent: ETL, Big Data, cloud, data virtualization, DataOps, governance, analytics, and anything else related to describing, organizing, integrating, sharing, and governing data. A look at many topics and discussions going […]
Hybrid Cloud vs. Multi-Cloud Architectures
The workloads (applications) running on an enterprise hybrid or multi-cloud network determine the architectural requirements. All cloud architectures share some common patterns, while the specifics of running workloads necessitate custom architectures. The architecture patterns are broadly of two types: “distributed-deployment” pattern and “redundant-deployment” pattern. In the former, an application runs in an environment best suited […]
Data Architecture and Data Science: What is the Intersection?
Data Science, in practice, should ultimately combine the best practices of information technology, analytics, and business. On the other hand, Data Architecture enables data scientists to analyze and share data throughout the enterprise for strategic decision-making. Thus, without a sound Data Architecture in place, data scientists will remain severely handicapped in their abilities to develop […]
Case Study: JTC Grows its Cloud Services Core through Trust and Teamwork
Trust, teamwork, and technology form the core of Jewell Technical Consulting, Inc. (JTC) and its partnership with Leaseweb USA, a leading hosting and cloud services company whose offerings include Infrastructure-as-a-Service (IaaS) solutions. JTC, a company providing private cloud services to North Virginia and D.C. metro businesses, was originally utilizing another hosting facility 20 miles way […]
Data Architects, It’s Time to Improve Your Data Classification
Team Data — data architects in particular, whatever their official title may be — have a job to do. That is to take more aggressive steps to protect data assets on behalf of customers and constituents. The responsibility falls to data architects because few in most organizations are thinking about protecting data from the data […]