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.
Building streaming data pipelines is the first important step. Then, stream processing – getting the data into the form that is needed through filtering, transformation, enrichment, and correlation – becomes critical before advancing to streaming analytics. We wrapped up the book talking about data delivery and visualization, and, finally, about the mission-criticality of data.
Throughout this book, we discussed what organizations should expect of an enterprise-grade streaming integration platform to realize the value in their real-time data. Such a platform needs, at a minimum, to offer continuous real-time data ingestion from a broad range of heterogeneous sources, high-speed in-flight stream processing, and sub-second delivery of data to both cloud and on-premises endpoints in the correct format to be immediately available to their high-value operational workloads.
It is essential that such a platform is also highly scalable, reliable, and secure, and provides an intuitive GUI interface to facilitate transformation of real-time stream processing into an organizational asset that delivers both bottom- and top-line benefits to the enterprise.
By utilizing a streaming integration platform that operates in-memory, provides CDC and other ingestion capabilities, and works in today’s distributed hybrid technology environments, enterprises can perform data modernization initiatives that were impossible using batch or legacy integration techniques.
Streaming integration is truly the engine of digital transformation.