Scaling Up: How Multi-Tech Data Platforms Enhance Data Management
Most organizations today cannot lean on just one or two data management solutions. What’s needed is a multi-tech data platform that ensures performance, security, and more.
Salvatore Salamone
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.
Future-proofing Your Data Strategy with a Multi-tech Platform
As data becomes more complex, the need for a multi-tech platform has never been more evident. By looking beyond single solutions like Apache Cassandra or Apache Kafka and embracing a more holistic, integrated approach, businesses can future-proof their data strategies and stay competitive in an ever-evolving landscape.
Red Hat Marries Linux and AI into a Platform for AI
Announcements from the conference put teeth into Red Hat’s approach to AI and automation. Similar to what was done with cloud and open source, Red Hat is now doing the same for AI with a platform for AI approach.
The Benefits of Instaclustr Managed Platform for Apache Cassandra
Instaclustr’s managed service allows companies to deploy a center Apache Cassandra across multiple clouds without setting up hardware or software.
When and How to Migrate from DataStax to Open Source Apache Cassandra
The key to any successful migration to Open Source Apache Cassandra is careful planning to keep any disruptions and downtime to an absolute minimum.
Automation a Must for Travel Industry Data Pipelines
As is the case in other industries, travel industry businesses do not have the time or resources to manually cobble together data pipelines for every use case and every application as each emerges.
Ensuring Good Data Quality with Automated Data Pipelines
Automated data pipelines address or completely eliminate most of the common factors that can impact data quality.
Report Documents the Cost Benefits of Automated Data Pipelines
ESG found that automated data pipelines deliver a number of time and cost savings benefits.
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.
Automated Data Pipelines Make it Easier to Use More Data Sources
Data pipeline automation can help businesses make use of the many additional data sources they need to improve operations, analyses, and the bottom line.