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

Data Warehouses and Data Lakes: Why You Need Both

Big data by itself doesn't mean big value.

• By Barry Devlin
• March 7, 2016

Friday March 4th - Agile Data Warehouse Development author Ralph Hughes: Panel with VCH and ICBC

• March 4, 2016

Q&A: Look to Data-Centric Security to Truly Protect Data

A security expert from Teradata explains how and why to focus security specifically on your data.

• By Linda L. Briggs
• March 4, 2016

Embracing Predictive Analytics (Part 1 in a Series)

The more you understand how algorithmic models work, the better the opportunities to engage the right set of data scientists and make them productive.

• By David Loshin
• March 4, 2016

Data Digest: Demystifying Unstructured Data, Data Quality and the Customer Experience, and 10 Must Haves for Data Integration

Getting useful insight from that pile of data you're collecting is worth it; here's how to do it right. Plus, a survey on the customer experience and the part data quality plays and 10 characteristics every modern data integration program must have.

• By Quint Turner
• March 4, 2016

Q&A: Data-Centric Security Wraps Data in Layers of Protection

A security expert explains why wrapping layers of security around your data is a must in today's world of constant data breaches -- and is seldom done properly.

• By Linda L. Briggs
• March 3, 2016

Why a Cognitive Computing Approach Supports Business Change

The advantage of a cognitive approach is that it starts with data rather than business logic.

• By Judith Hurwitz
• March 3, 2016

Data Digest: Focus on Data Visualization

Articles in today's digest look at creating visualizations like a data artist, how to use scatter plots effectively, and how to use create simple and effective graphs with JavaScript.

• By Quint Turner
• March 3, 2016