Bizview, a robust, cloud-deployed and web-based budgeting and planning solution, helps organizations accelerate business growth by increasing cadences, facilitating collaboration, and simplifying processes to drive smarter decisions from more accurate data.

Data mesh is becoming a key component of many organizations' data management strategy. Before embarking on that journey, organizations need to understand the real complexities of data mesh and what the industry doesn’t talk about, the risks associated with this approach, and the importance of governance in a data mesh world.

Administrators can monitor purchased and used amounts of different capacities in the Home pane in the Qlik Cloud Management Console. The pane gives you an overview of the consumption of user allocations, data capacity, reloads, and other capacity-based resources. It also shows a list of the capabilities that are enabled with your subscription and the limits on the capabilities.

Learn more about why we are partnering with Talend. Talend is a leader in Year Gartner Magic Quadrant providing data integration tools in 2022. Talend provides enterprises with high quality data solutions to achieve data health. Talend’s Data Health and Lineage capability adds business context to data, enhancing our data governance, which helps enterprises accurately assess data risks.

This video provides an overview of the notification channel feature and was recorded in the 4.7.8.0 release. #unraveldata #unraveldemo

Enable self service and simplify management of your modern data stack using Unravel Data-forward organizations struggle to hire and retain top talent to architect, build, and operate data applications and pipelines required for rapid growth. See how data observability tools enable data teams to more efficiently achieve data performance, cost, and quality SLAs. Learn how innovative companies such as Maersk, HSBC, and FirstRand Bank use Unravel to simplify and accelerate data observability at scale.

Learn how to use the new Cloudera DataFlow Designer to build a streaming data pipeline that ingests events from Kafka into Iceberg tables.