In our upcoming webinar, Andriy Okhrimets, CTO at Svitla Systems, will share his rich experience based on working with 40+ startups which earned him a front-row seat to the successes and failures that make or break a startup.
BizTalk NoS is our free Visual Studio Add-in that makes life of BizTalk developers easier. For example, with this tool you can directly test BizTalk Pipelines and Pipeline components in Visual Studio, easily find artifacts in your solutions, understand dependencies between assemblies, reduce build and deploy times, and much more.
The number of IoT devices that streams data to a connected cloud backend increases daily. This data creates new possibilities for real-time analytics and can fundamentally impact business productivity, especially in industries such as agriculture, healthcare, manufacturing, mining, and many more.
Databricks Unified Data Analytics Platform (UDAP) is the open and unified platform for data analytics and ML workloads On-demand webinar We are pleased to announce the availability of Azure Databricks in the Swiss Azure Datacenters which marks another milestone on the way to digitize Switzerland.
Available on-demand Apache Spark ™️ has become the de facto open source standard for big data processing due to its ease of use and performance. And the open source Delta Lake project enhances Spark’s lead with new capabilities like ACID transactions, Schema Enforcement and Time Travel.
On-demand webinar Data & ML projects bring many new complexities beyond the traditional software development lifecycle. Unlike software projects, after they were successfully delivered and deployed, they cannot be abandoned but must be continuously monitored if model performance still satisfies all requirements.
As one of the key tenets of any successful data governance practice, data governance and security is likely to be top of mind for companies seeking to open access their access data in order to drive the use cases of the future as part of your data-driven transformation.
Join us on 8 July for an introductory tutorial on how Databricks can help you manage your end-to-end Machine learning lifecycle. ML development brings many new complexities beyond the traditional software development lifecycle.