Time for Big Integration after Big Data

BizTalk Server is a mature product and it does most of what you would want an on premise integration server product to do. As integration has evolved though there are few challenges with BizTalk Server’s architecture which means that it will have limits in its ability to deliver the things companies will require in the future. It is similar to how data and data warehousing has changed phenomenally over recent years.
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Spotlight

OTHER ON-DEMAND WEBINARS

The Essentials of Data Science and Machine Learning

Gartner

How data science and machine learning fit with the organization's existing analytics portfolio How your organization can operationalize models driven by data science and machine learning This webinar covers a high-level introduction to data science and machine learning and their potential in a data-driven organization. Learn key trends and concepts, proven use cases and an overview of leading technologies.
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Applying DevOps to the API lifecycle: A demo

Creating an API strategy and a DevOps practice have become critical competencies for modern IT teams. When successfully implemented, 94% of IT leaders confirm they can deliver products and services to market faster. In this demo-driven webinar, we'll show where these competencies intersect and how leading organizations are using them to move from concept to production code in weeks instead of months or years.
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The Present and Future of AI

Gartner

The more you get to know artificial intelligence (AI), the less scary it gets. People increasingly expect AI to make our work and personal lives easier. But what benefits can it really yield for your organization today and into the future? In this complimentary webinar, we look at where AI can fit in your organization, how you can maximize AI initiatives, and what we can realistically expect AI to do for us in the future.
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Continuous Integration Using Microsoft Tools Right before Your Eyes

Gallop

Development teams worldwide are adopting “agile” methodologies to manage change and to improve software quality. These methodologies promote continuous integration as a practice to build and test software products incrementally as new features are included, bugs are fixed, and code is refactored with much reduced build and release cycles.
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