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

How to Increase Your BI Program's Value (Part 1 of 2)

Why your data must be trusted, useful, integrated, and governed.

• By Wes Flores
• March 8, 2016

Data Digest: SQL-on-Hadoop Engines, Open Source Safety, and Cloud Computing for Small Biz

Results of a new study of SQL-on-Hadoop engines, plus staying safe with open source and how cloud computing can help the little guy.

• By Quint Turner
• March 7, 2016

Three Practical Ways of Narrating Your BI

Data storytelling is often too abstract to apply to business intelligence. However, there are practical techniques of enhancing BI with words, annotations, and narrations.

• By Jake Dolezal
• March 7, 2016

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