Why Now Is the Time to Automate Data Pipelines
Easy access to data afforded by automating data pipelines gives lines of business and data analysts quick access to trusted data.
Salvatore Salamone is a physicist by training who has been writing about science and information technology for more than 30 years. During that time, he has been a senior or executive editor at many industry-leading publications including High Technology, Network World, Byte Magazine, Data Communications, LAN Times, InternetWeek, Bio-IT World, and Lightwave, The Journal of Fiber Optics. He also is the author of three business technology books.
Easy access to data afforded by automating data pipelines gives lines of business and data analysts quick access to trusted data.
Data pipeline automation can help businesses make use of the many additional data sources they need to improve operations, analyses, and the bottom line.
Given the track record of national labs in developing other technology, it is worth looking at a new initiative that seeks to take a new approach to data access and sharing.
A discussion about the issues developers have when building data pipelines using modern data stack solutions, and what’s needed to overcome those issues.
The need for automated data pipelines is clear. What role will data scientists play in bringing them about?
Hitachi Ventara’s Taqi Hasan discusses cost management and security challenges enterprises face today and how automated Hitachi Ventara services can help.
Hitachi Ventara’s Pratik Dakwala talks data reliability engineering and how it helps businesses be proactive so they can detect data issues before they become critical.
Organizations need modern ways to manage their workloads in today’s complex cloud environments.
Increasingly, businesses are using DataOps principles to guide their data pipeline strategies, construction, and operations.
A chat with Sean Knapp, founder and CEO of Ascend.io, about the challenges businesses face with data pipelines and how data pipeline automation can help.