Analytics and Reporting

Junk data can impede digital transformation initiatives and create obstacles for business goals. Learn how to align an organization with a junk data management strategy.

Data engineering and analytics software vendors have touted 'the end of ETL.' This article questions what they really mean by this.

The first article in this five-part series introduces the data lakehouse and explores what is new and different about the model.

The fifth and final installment in this series compares the data lakehouse and the PaaS data warehouse.

The fourth article in this five-part series explores the use of data modeling with the data lakehouse.

The third article in this five-part series assesses the viability of the data lakehouse for typical data warehouse workloads.

The second article in this five-part series compares the data lakehouse with the conventional data warehouse.

Automation can help hybrid workforces run smoothly, but it can also hinder remote team collaboration if organizations aren't careful.

The U.S. State Department’s enterprise data strategy can point the way for organizations across industries. Here are 10 considerations for data collection, storage and use.

Cloud object storage presents drawbacks for data management and analytics. Learn about cloud-based object storage and its suitable uses.