Cloud Data Platforms

Cloud Data Platforms: Data Shifts to the Cloud

Cloud data platforms are public or private cloud software systems built and operated with the primary purpose of managing data on the cloud.

How Automated Data Pipeline Tools Can Help Speed To Market

by David Curry

Automated data pipeline tools can help businesses increase their speed to market, by reducing the amount of manual ETL required.

The Hidden Challenges of the Modern Data Stack

by Paul Lacey

The modern data stack landscape comes with an integration tax, perpetuates the need for expensive, highly specialized resources, and complicates change management.

Best Practices for Lakehouse Operations on Amazon S3

by David Curry

Steps include selecting a storage strategy, migrating data to cloud, and optimizing performance.

The Evolving Landscape of Data Pipeline Technologies

by Elizabeth Wallace

The convergence of data engineering and data science streamlines complex pipelines.

Five Data Pipeline Best Practices to Follow in 2023

by Michael Leppitsch

Following these data pipeline best practices will help any team deliver data pipelines with the integrity needed to build trust in the data, and do so at scale.

The Data Lakehouse Takes Center Stage: Insights from Dremio’s Co-Founder

by Elisabeth Strenger

Dremio’s co-founder and Chief Product Officer, Tomer Shiran, explains how the scope of the data lakehouse will expand and what comes next in light of data democratization.