Getting your customer's data on the platform quickly and effectively is crucial for any business. How well you onboard new data will affect your success and your customer's experience. Effective onboarding affects so many aspects of a company's success that it's necessary to take a detailed look into all aspects of the process. The following is everything you need to know about data onboarding.

DreamFactory specialises in REST API generation for any number of database types however an underrepresented benefit is the ability to mount and manage any third party API via a HTTP service connector. This gives you the ability to generate documentation and secure an existing API as if it were created natively within DreamFactory.

“More than 15 billion IoT devices will connect to the enterprise infrastructure by 2029.” Finding data is not going to be a challenge, clearly, but taking advantage of it all to drive business outcomes will be. Combining AI and machine learning (ML) with data collection and processing capabilities of the edge and the cloud may hold the answer.

Both businesses and governments have been forced to respond to the global pandemic by developing interactive user experiences and spatial applications using location-based data sets to visualize COVID cases, communicate confinement measures, and track vaccine rollout progress.

We’re excited to announce ClearML’s elevated recognition by NVIDIA as an Inception Premier Member.

Maintaining quality while delivering increasingly complex products at increasing speeds is a challenge for software teams everywhere. Automating tests is essential to detect issues faster and speed up the development cycle, but it’s only one part of the equation. Managing and scaling a test automation practice, and implementing it inside an efficient DevOps cycle is even more important.

API gateway request transformation policies are incredibly powerful. There are many situations when an API developer can take advantage of request transformations to adjust the shape and values of a request to cleanly fit their API. Let’s say you’re deprecating a certain endpoint for your API, but you still need to support the old specification for a transition period.

We live in a dynamic world. It is safe to say that companies aim to speed up time-to-market and out-innovate their competition with Kafka, but at the same time struggle with some limitations. These can range from compliance-related setbacks for regulations such as GDPR, CCPA and HIPAA, to self-service slip-ups that could see a whole Kafka cluster going down. Even something as seemingly innocuous as configuring and creating a Kafka Topic can lead to operational U-turns, slowdowns and even downtime.

Over the past few years, many organizations have experienced the benefits of migrating their SAP solutions to Google Cloud. But this migration can do more than reduce IT maintenance costs and make data more secure. By leveraging BigQuery, SAP customers can complement their SAP investments and gain fresh insights by consolidating enterprise data and easily extending it with powerful datasets and machine learning from Google.

For more than three decades, Microsoft SQL Server has helped countless organizations store and manage their enterprise data, and it’s still one of the most widely used software applications on the planet. According to the DB-Engines database ranking, SQL Server remains the third most popular database management system, just behind Oracle and MySQL. Change data capture (CDC) is essential functionality for many businesses, especially those with real-time ETL use cases.