Systems | Development | Analytics | API | Testing

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The benefits of building an on-demand data lake in healthcare

This blog was written in partnership with Navdeep Alam, Senior Director, Global Data Warehouse, IQVIA Healthcare is unique. It isn’t defined like other businesses by how much revenue can be generated, but more in terms of achieving positive health outcomes, better value, and saving lives through the rapid development of new treatments and therapies.

10 Ideal Appointment Scheduling Tools

Companies need special scheduling tools to organize and plan events, tasks, and various facilities. The business executives and managers or various projects need to be well-versed in their upcoming course of action. They need to plan their week accordingly, to decide when to attend meetings, events, and when to attend to clients. By planning their whole day, they will have time to make payments and perform their respective roles and responsibilities without any hassle.

AI Powered Efficiency - Katalon Offers Native Integration with Applitools

If you write software for a living, you probably have a bias toward coded tests and against all things codeless. Most software engineers who become test engineers trust themselves to write well-designed structured code. Some people see record-and-playback as cheating, demeaning, or otherwise indicative of poor workmanship. Yet, research shows that test code maintenance costs correlate directly to the number of lines of written test code.

4 Best Practices for Harnessing the Power of Test Data

At Sauce Labs, we define Continuous Testing as a “best practice approach to software quality that involves testing earlier and more often throughout the development lifecycle.” Teams that adopt continuous testing realize a number of benefits, including fewer bugs found in production, faster release cycles, and overall improved customer experience. Another rarely discussed benefit is that as the number of quality checkpoints increases, so does the volume of test data and quality signals.

Lumada Analytics Roadmap For A Better Data Culture

Struggling to extract insights and actionable intelligence from your data? With more data science and analytic solutions available today, do the handoffs among data scientists, IT and the business continue to disrupt your analytics value chain or are they becoming even more difficult? We’ve seen this cause “data despair” and decelerate investments in analytics and machine learning projects. In fact, only a quarter of organizations believe that they are actually building the “data culture” that fosters success.

How To Weave Multicloud Data Fabric: Roadmap Session On Lumada Edge Intelligence

Like most enterprises, you are generating huge volumes of structured, semi- and unstructured data at edge devices, core data centers and even public clouds. How can you more easily manage your data across all your repositories and avoid delaying your applied use of analytics? Our answer is to weave a multicloud data fabric for you that simplifies connecting data repositories from the edge to the core and to the cloud. This helps you gain quicker business insights with a scalable and cost-effective approach. Join this session to get an in-depth view of our upcoming Lumada Data Services product vision and strategy.

To Manage All Your Data Pipelines, Let's Follow The Lumada Dataflow Studio Roadmap

You’re building data pipelines to help your business users innovate with data. But with the shift to self-service, the data management practices need to evolve. And in addition to building your own pipelines, you’ll also need to manage hundreds or even thousands of users’ pipelines. What now? - See for yourself Hitachi’s vision for Pentaho Data Integration and Lumada Dataflow Studio. You’ll learn how Lumada Dataflow Studio helps you address today’s and tomorrow’s challenges in data preparation, orchestration and monitoring.