Data Management develops in stages across the enterprise, according to the DATAVERSITY® Trends in Data Management Report. One or a few teams take the lead doing Data Management, ensuring successful data knowledge, protection, access, and value for projects or products. Then the good practices stay with that team or project, while others miss out on […]
The Chief Data Officer and the Chief Digital Officer: Work Together, Not Apart
Data vs. digital: That’s a big tension within many organizations. Chief Data Officer s and Chief Digital Officers don’t always agree about some important things, said Joe Caserta, president of consulting firm Caserta, during his DATAVERSITY® Enterprise Data World Conference presentation titled Building a Foundation for Disruption and Advanced Analytics. What’s the disconnect between the […]
Data Privacy Challenges: Compliance-as-a-Service Evolves
Massive data stores, a rapidly changing regulatory landscape, and the potential for catastrophic damage to brand and bottom line have made privacy the top concern for companies across the globe. Concern about the accelerating pace of data privacy regulation headed the list of Gartner’s 2019 Emerging Risks Monitor, and depending on the industry, between 64 […]
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 […]
Fundamentals of Cognitive Analytics
The journey of data analytics began with simple descriptive (review of past events) and diagnostic (analysis of past events) exercises and moved to the more sophisticated predictive and prescriptive genres,where advanced data models have enabled accurate future forecasts and actionable intelligence. And now cognitive computing has further strengthened the actionable predictive power of the machines […]
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 […]
The Collective Data Literacy Gap
Every graph, data set, and chart has a story behind it. Knowing how to make sense of that narrative across an organization requires data literacy. Increasing the data literacy of smaller teams can be complicated, but equiping an entire organization is an even bigger task. So many teams bring in so many different skill sets […]
Data Versioning Matters to Data Science
Amazon Web Services (AWS) recently published a case study about how the Allen Institute for Cell Science — which was founded by Microsoft’s Paul Allen to research how the human brain works in health and disease — is taking new steps to make its data and metadata easy to access, search, and redistribute for internal […]
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 […]