April 2020
Beginner to intermediate
107 pages
2h 31m
English
Content preview from Streaming Integration
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Chapter 8. Conclusion
We are entering a new era – the era of real-time data. This data is driving a vast digital transformation, where even the most conservative enterprises are modernizing through technology and the data it provides. The goal? To elevate the customer experience, optimize processes, and outperform the competition. This is happening on a global scale. We called this data modernization, and streaming integration is its engine, providing the way to realize value from this modernization and from the real-time data fueling it.
In this book, we described how to achieve data modernization through streaming integration in detail to help you understand how it can be applied to solve the very real business challenges you face in a world transformed by digital technologies. We started with a history of data, before introducing and defining the idea of streaming integration and why it is so critical to businesses today.
We saw how streaming integration can solve disparate use cases, by driving hybrid cloud adoption and providing a platform for real-time applications while also being the engine delivering continuous data for a variety of reporting and analytics purposes. Whether an organization is performing a zero-downtime data migration to a cloud database; continually updating a data warehouse; collecting, aggregating and reacting to IoT data, or performing real-time machine learning predictions, streaming integration can allow businesses to reap immediate benefits. ...
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