Data Engineering Podcast
OCTOBER 14, 2019
Summary Managing a data warehouse can be challenging, especially when trying to maintain a common set of patterns. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from mere terabytes to petabytes of analytic data. Visit Datacoral.com today to find out more.
Ascend.io
APRIL 22, 2024
This initiative is more than just an upgrade; it’s a reimagining of what a Data Automation Platform can be: dynamic, extensible, and highly intelligent. A unified platform that combines a powerful metadata core, an extensible plugin architecture, DataAware automation, and multiple AI Assistants.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Cloudera
SEPTEMBER 15, 2022
The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.
AltexSoft
OCTOBER 30, 2021
Data engineer’s integral task is building and maintaining data infrastructure — the system managing the flow of data from its source to destination. This typically includes setting up two processes: an ETL pipeline , which moves data, and a data storage (typically, a data warehouse ), where it’s kept.
DataKitchen
JUNE 24, 2021
Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. So there’s been a lot of investment made and massive data initiatives that had a lot of promises and in many circumstances over-promised and under-delivered.
Expert insights. Personalized for you.
100 
Let's personalize your content