October 28, 2016
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More articles by David Leininger

Dave Leininger has been a Data Consultant for 30 years. In that time, he has discussed data issues with managers and executives in hundreds of corporations and consulting companies in 20 countries. Mr. Leininger has shared his insights on data warehouse, data conversion, and knowledge management projects with multi-national banks, government agencies, educational institutions and large manufacturing companies. Reach him at Fusion Alliance at dleininger@FusionAlliance.com.

Ten Things Every Data Developer Should Know About BI and Analytics

Here are ten things to know as you work with Business Intelligence (BI) and Data Analytics.

Instant Push Notification in the Enterprise

What happens when you have the ability to get instant push notifications along with today’s vast array of sensors? If you toss in a little “Internet of Things (IoT)” you could quickly start revolutionizing how many industries operate.

Data Modeling Is Like Building A Boat

The effort put into data modeling is relative to the size of the project. Starting with a proper set of data models allows enhancements as the business needs grow and change.

Data Quality for a Modern Data Warehouse

Use data quality services (DQS) for cleansing and matching source data via business rules.

Understanding Big Data: The Hadoop Environment with BI Integration

Big data platforms and ecosystems emerged from the need to efficiently handle data volumes, velocities, and varieties that had not previously existed.

Big Data: The Proof of Concept Project

Complete a big data proof of concept project in 60 days, leading to a full implementation afterward.

Best Practices: ETL Development for Data Warehouse Projects

Ten Tips that lead to a functional environment for data integration.

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