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TDWI Upside - Where Data Means Business

Big Data


Executive Q&A: Kubernetes, Databases, and Distributed SQL

To take advantage of the scale and resilience of Kubernetes, Jim Walker, VP of product marketing at Cockroach Labs, says you have to rethink the database that underpins this powerful, distributed, and cloud-native platform.

Challenges of Modeling COVID-19

Machine learning algorithms and data acceleration platforms offer new models for timely analysis of pandemic data.

Data Privacy in a Globally Competitive Reality

Protecting consumer privacy is key to securely providing the huge data sets required for innovations in AI analytics.

How MLOps Delivers Business Value

Machine learning projects too often get stuck in the lab. Bringing the discipline and efficiency of DevOps into AI/ML practices helps move your models to production with ease, even at scale and in real time, and manage and monitor them over time for optimal results.

Data Digest: Data Strategy, ML in Production, Data Gravity

Planning a high-level data strategy takes solid foundations, the ability to scale, and knowledge about larger trends.

CEO Perspective: Moving Data Analytics from Cost Center to Revenue Generator

How can you move data analytics from being a cost center to become a revenue generator? Roman Stanek, CEO of GoodData, explains how this transformation drives business growth.

How to Strengthen the Pillars of Data Analytics for Better Results

How organizations can respond with agility, performance, and speed to the rapid business changes of the pandemic era.

Data Stories: Data Generation, Website Growth, Digital Transformation

Data visualizations help us think about how much data is being created, how popular the biggest websites are, and what the future of data looks like.

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