VMware Introduces Next-Gen Cloud Offering During Explore Event
VMware is making a concerted effort to modernize its cloud offerings to compete with the big players.
Cloud Data Platforms
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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.
Developing Secure, Compliant Data Products with Databricks Lakehouse Apps
New Databricks Lakehouse Apps helps developers build data-intensive applications that perform with speed and meet security and compliance requirements.
Data Mesh Implementation: Your Blueprint for a Successful Launch
Simply understanding the principles of data mesh isn’t enough to spark transformative change. Real progress comes when we move beyond comprehension to the realm of application.
Data Pipeline Optimization: How to Reduce Costs with Ascend
There are many different ways to control costs when implementing modern data pipelines. Here are some ideas to get started.
Scaling Your Application Infrastructure with Kubernetes & Microservices
Learn how to scale your application infrastructure using Kubernetes and microservices with CDI and Middleware.io.
Data Pipeline Trends in Healthcare
The CDC, teaming with other institutes, has developed a prototype cloud-based data pipeline, which automatically processes datasets, such as lab results or case studies.
How Embedded Finance, Cloud Offer Paths to Profit
Cloud operations and embedded finance are revolutionizing finance and other industries, allowing profitability even during disruptions.
A Partner Ecosystem Completes the Databricks Stack
The Databricks stack is made up of a partner ecosystem that creates a thriving community.
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.
4 Mobile Software Testing Use Cases Where Device Clouds Don’t Work
Don’t make the mistake of assuming device clouds are always the most efficient option. Discover 4 use cases where device clouds won’t work.