TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Machine Learning: The Foundation for New-Age Predictive Analytics

Three examples highlight the power of machine-learning predictive analytics.

• By Sameer Nori
• January 11, 2017

Data Digest: Trends to Watch in AI, Machine Learning, Mobile Computing, and Data Science

It’s 2017, and there are many exciting developments anticipated in the data world. Make sure you’re ready to prepare for new technology trends.

• By Lindsay Stares
• January 10, 2017

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.

• January 10, 2017

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.

• By Sachin Sinha, Mehul Shah
• January 10, 2017

Thursday the 9th of February, 2017: ‘Metadata, Models and the Magic of Meaning’ presented by Mr. Barry Devlin

• January 9, 2017

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.

• By Paul Pallath
• January 9, 2017

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.

• By Quint Turner
• January 9, 2017

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?

• January 9, 2017