TDWI Upside - Where Data Means Business

IT and Enterprise Management


ETL Test Automation Planning for DW/BI Projects

Applying DevOps-style test automation to your projects can guarantee a high level of data quality.

The Evolution of Data Lakes and Data Platforms: Migrating to the Cloud

Moving to a cloud-based data platform is a tall task, especially with so much data at stake. These tips can help.

Data Lake Platform Modernization: 4 New Directions

Early adopters of the data lake have arrived at a maturation stage where they need to modernize their platforms before expanding their implementations.

Five Database Requirements for Digital Transformation

A cloud database must be designed and developed from the ground up to have these five critical characteristics.

Data Digest: Governing Citizen Data Science, Improving Internal Security, Understanding Privacy

Manage your citizen data scientists, teach cybersecurity practices, and be ready for the next round of privacy regulation.

Timeline of an Agile Data Environment: A Detailed View (Part 3 of 3)

In the last part of our series, we examine the detailed activities of an analytics team before, during, and after a sprint. You can compare your team’s work flow to the activities list in this article to see opportunities to become even more agile.

3 Keys to Building an Agile, DevOps-Powered Analytics Environment (Part 2 of 3)

Working with data requires adaptation of many traditional agile techniques. How do we put agile practices and DevOps tools to use for analytics and data science projects?

Best Practices for Building an Agile Analytics Development Environment (Part 1 of 3)

Creating an agile analytics development environment is about much more than just tools. It is a combination of culture, practices, and tools that enable high productivity, high data quality, and maximum business value.

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