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Data-Architectural Futures

What will future data architectures look like? You can bet that something like data federation will be in the mix. Because both data storage and data processing are -- and will continue to be -- highly distributed, federation is inevitable.

NoSQL and Hadoop: Document-Based versus Relational Databases

NoSQL and Hadoop have overlapping capabilities but they are not competitors. We examine seven features that differentiate a NOSQL document database from a relational database.

Top 3 Ways to Determine If Your Machine-Learning Implementation is Debt Free

Identifying hidden machine-learning debt is just the first step in becoming debt free.

Data Digest: Bias in Analytics, Data Lakes for Security, Data Lessons from 2016

How to reduce bias in data analytics, avoid issues with security-focused data lake projects, and learn from recent failures in predictive analytics.

Creating an Analytics Culture of Trust

In a recent report, consulting firm KPMG tackles a pair of thorny questions. Why don't decision makers place greater trust in data and analytics and how do you build this trust?

Data Digest: IoT Strategy, Avoid Cloud Pitfalls, State of Cybersecurity

Which IT strategies can backfire on IoT, pitfalls to avoid in a transition to cloud computing, and what lessons to take away from the year in data security.

5 Minutes with a CEO: Sejun Ra of ZEPL

What does it take to be a successful CEO, and where is analytics going from a CEO perspective?

Strategies for Data Platform Consolidation

Data platforms must play their real, architected roles in your environment. Platform consolidation can save you money and headaches.

Data Digest: Monetize IoT, Current State of IoT, Choosing a BI Tool

This advice will help you use IoT to improve your bottom line, learn Internet of Things basics, and pick a BI tool that fits your enterprise’s needs.

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