Measuring and offsetting your carbon footprint may seem like a daunting task. In this post, we’ll explain how to easily and quickly perform the calculations in a DIY style. Let’s go!
Data Theorem is a leading provider in modern application security with a core mission to analyze and secure any modern application anytime, anywhere. And guess what? Now you can find Data Theorem Mobile Secure in Bitrise's Step Library!
Hyperautomation is about making humans more human. So said automation expert Arjun Devadas in the first episode of this two-part post on hyperautomation. (Read part one here). Devadas—who serves as Senior Vice President, Professional Services & Operations, Americas at Vuram, a hyperautomation services company—debunked a few myths and spilled some pragmatic tea on how to get the most out of your hyperautomation journey.
5G is in the process of transforming communications technology, enabling never-before-seen data transfer speeds and high-performance remote computing capabilities. As a cloud-native application, 5G provides advantages in terms of speed, agility, efficiency and robustness.
85% of CEOs say that the pandemic has accelerated digital transformation, according to a recent Deloitte survey. Digital transformation often means new software tools that increase productivity and conduct business functions with ease.
Transferring data is a hassle if you don't have the right tools, particularly when you're transferring from multiple sources or in various formats. Fortunately, you can use tools to make the entire ETL process simpler and less prone to error. Platforms like Teradata make it easy to get your data where it needs to go.
Flat files are files that contain a representation of a database (aptly named flat file databases), usually in plain text with no markup. CSV files, which separate data fields using comma delimiters, are one common and well-known type of flat file; other types include XML and JSON. Thanks to their simple architecture and lightweight footprint, flat files are a popular choice for representing and storing information.
Apache YuniKorn (Incubating) has just released 0.10.0 (release announcement). As part of this release, a new feature called Gang Scheduling has become available. By leveraging the Gang Scheduling feature, Spark jobs scheduling on Kubernetes becomes more efficient.
