As business leaders cautiously navigate the uncertainties of 2024, marked by the mainstreaming of AI, heightened regulatory oversight, cost pressures, and supply chain disruptions, the need for agile and efficient business processes has never been more pressing. Amidst this backdrop of uncertainty, cloud BPM shines as a beacon of opportunity, offering organizations a transformative approach to streamline operations, drive innovation, and achieve better business outcomes.

Before low-code, enterprise IT teams had to use either traditional development or commercial off-the-shelf software to provide business solutions. But when low-code development entered the scene, teams discovered they could create custom, enterprise-grade software applications up to 10x faster.

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control.

Data integration is a vital practice for organizations seeking to leverage the wealth of information available to them. To achieve this, it's crucial to establish a seamless method of sending data from multiple sources to a centralized repository, such as a data warehouse. One commonly employed solution is SFTP (Secure File Transfer Protocol). In this comprehensive guide, we'll delve into the details of SFTP, explaining what it is and how to configure it securely for file transfers.

The manufacturing industry can benefit from AI, data and machine learning to advance manufacturing quality and productivity, minimize waste and reduce costs. With ML, manufacturers can modernize their businesses through use cases like forecasting demand, optimizing scheduling, preventing malfunctioning and managing quality. These all significantly contribute to bottom line improvement.

Both MySQL and Oracle provide the same architecture and use the relational model, and both offer many standard features such as indexing, vertical scalability, and support for popular operating systems. However, there are some critical differences between the two tools. Deciding between them can shape an enterprise’s data management and directly impact its success.

The Kong Konnect team recently launched the Portal Management API, which allows users to manage their Developer Portals with one API. That means you can easily manage your portal settings, appearance, application registrations, and registration settings easier than before. In this blog, I’ll walk you through two scenarios that we expect the portal management API can help streamline.

There are a few universal truths modern quality assurance (QA) teams have to acknowledge. While all of these are true, the expectation that QA teams can deliver new and existing bug-free features with aggressive time and cost constraints without support is unrealistic. Additionally, several in-house teams struggle to hire and retain specialized testing expertise.

Can DataOps help data consumers reveal and take action on powerful product insights hidden in operational data? For many companies, the answer is yes! The emerging practice of DataOps applies Agile development principles and DevOps best practices (e.g. collaboration, automation, monitoring and logging, observability) to data science and engineering, making it faster and easier for organizations to uncover valuable product insights that enable innovation.

BigQuery now supports generative AI use cases using Gemini 1.0 Pro with Vertex AI, providing higher input/output scale and better result quality.