Systems | Development | Analytics | API | Testing

How to Broadcast a Report in Yellowfin

Oct 26, 2022 By Yellowfin BI In Yellowfin
In this video you will learn the basics of using Broadcast, including the differences between Broadcast, Smart Task, Personal Broadcast, and FTP Schedule. You will learn how to set up a Continuous Schedule broadcast with the correct time and frequency settings, or how to configure a broadcast triggered by an Alert, complete with delivery rules. You will also learn the differences between sending the broadcast in various formats, including a link that takes the viewer back to your live and updated report.
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Streamline Your Workflow Management System with Appian

Oct 26, 2022 By Appian In Appian
Appian orchestrates your people, systems, and data together to streamline your workflow management system. You can get work done fast while still providing customers and employees with the experiences they deserve. Our visual, drag-and-drop interface makes designing workflows easy. Workflow automation accelerates your business, while a low-code design empowers developers to draw processes like a flow chart.
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integrate

Does Your Company Need a Data Observability Framework?

Oct 26, 2022 By Mark Smallcombe In Integrate
You have been putting in the work, and your company has been growing manifold, Your client base is growing more than ever, and the projects are pouring in. So what comes next? it is now time to focus on the data that you are generating. When programming an application, DevOps engineers keep track of many things, such as bugs, fixes, and the overall application performance. This ensures that the application operates with minimum downtime and that any future errors can be predicted.
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keboola

It is Time to Rebundle the Modern Data Stack

Oct 26, 2022 By Keboola In Keboola
When you look closer at the Modern Data Stack (MDS) you need to brace yourself. The number of tools companies use for their databases, user administration, data extraction, data integration, security, machine learning, and a myriad of other use cases has grown astronomically. Matt Turck, VC at FirstMark, composes a yearly infographic of the hot tools in the datascape: And this is just a shortlist of both the most popular and fastest-growing tools.
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keboola

Power Up Your Data Operations with Templates & SpotApps

Oct 26, 2022 By Keboola In Keboola
Gaining insights from your data can be time-consuming. Or as simple as a few clicks. Depending on if you want to do everything by yourself, or if you let us help. For example, next time one of your stakeholders asks: “Can you deliver the dashboards by the end of next week?” You can say yes with confidence, and in this blog we are going to show you why and how it is done.
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How to Easily Deploy Your Hugging Face Models to Production - MLOps Live #20- With Hugging Face

Oct 26, 2022 By Iguazio In Iguazio
Watch Julien Simon (Hugging Face), Noah Gift (MLOps Expert) and Aaron Haviv (Iguazio) discuss how you can deploy models into real business environments, serve them continuously at scale, manage their lifecycle in production, and much more in this on-demand webinar!
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cloudera

10 Keys to a Secure Cloud Data Lakehouse

Oct 25, 2022 By Brian Lachance In Cloudera

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

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katalon

Streamline Test Failure Analysis for Quality Engineering Teams

Oct 25, 2022 By Katalon In Katalon

Automated software testing powers faster releases and higher-quality user experiences. As developers make changes to the applications, automation engineers, test leads, and developers work together to resolve issues that occur on some of the automated tests. Test failure analysis activities allow these teams to perform root cause analysis (RCA) for these failures. These activities can take increasing amounts of time as the scale of automated testing grows.

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