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Data Architecture Trends in 2019

A primary concern of digital businesses today is the reliability of data. Many business users are still judging the ultimate value of data-guided analytics with a certain degree of skepticism, which can only change over time with delivery of solid benefits. The reliability of business data comes from a well-designed and well implemented Data Architecture. […]

A Glimpse into the Future of Modern Data Architectures with DataOps at its Core

Click to learn more about author Itamar Ankorion. Enterprises are building out modern Data Architectures to accommodate new analytic requirements, larger data volumes and take advantage of newer technologies such as cloud, data lakes and data streaming. These platforms make it possible to support digital transformation with modern analytics, delivering new services empowered by data […]

What is a Customer Data Platform?

Click to learn more about author Jonathan Lee. In the past year and a half DATAVERSITY readers have been exposed to new Customer Data Platform (CDP) offerings from vendors like BlueConic, RedPoint Global and others. But what is a CDP? First introduced around 2013, CDP is a concept defined by the Customer Data Platform Institute […]

The Future of Data Governance: Balancing Data Governance and Data Management

“How do you create a competitive advantage for business partners by delivering fast access to high quality data, instilling confidence and supporting data driven decision making?” asked Ursula Cottone, Chief Data Officer (CDO) of Citizens Bank. As the keynote speaker at the DATAVERSITY® Enterprise Data Governance Online Conference (EDGO), she tackled this question in her […]

A Brief History of Data Lakes

Data Lakes are consolidated, centralized storage areas for raw, unstructured, semi-structured, and structured data, taken from multiple sources and lacking a predefined schema. Data Lakes have been created to save data that “may have value.” The value of data and the insights that can be gained from it are unknowns and can vary with the […]

So You Want to be a Data Engineer?

The work of Data Engineers is extremely technical. They are responsible for designing and maintaining  the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to Data Warehouses. Data Engineers need to have a solid understanding of commonly used scripting languages and are expected to support the steady evolution of improved Data Quality, […]

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