Today’s digital businesses and those moving towards digitization are rapidly embracing event-driven, in addition to historic batch-driven IT architectures. Event-enabling digital enterprises brings new capabilities, but also brings exponential growth in the streaming data volumes to be handled.
This new survey offers insights on how enterprises use event-driven architectures, the volumes of streaming data they face, and the approach they are taking with respect to designing streaming applications and deploying streaming analytics.
Today's real-time enterprises are more situationally aware and operationally responsive because they know about the state of their business at every moment. They use continuous intelligence from Swim to help them better assess how to respond to the "now" in the context of their current business operations.
View or download this product brief and find out how Swim products enable you to automatically derive actionable insights by continuously processing streaming data in concert with historical data and business context stored in enterprise IT systems, databases or data lakes.
A major telecommunications service provider had limited visibility of their network infrastructure, requiring several hours to measure service quality. The lack of real-time information made it difficult for field service crews, IT departments and customer service representatives to work collectively towards improving customer experience in a highly competitive market.
View or download this case study and find out how in just a few months, the service provider has built several continuous intelligence applications on Swim Continuum that support a range of needs across their business operations and deliver results in minutes instead of hours.
Cubic│Trafficware is the first technology company in the transportation industry to recognize the evolving needs of connected vehicles. The company knew that extending their offerings to deliver high resolution, accurate data for city intersections and traffic locations in less than a second could be a game-changer for intelligent infrastructure and connected vehicles.
View or download this case study and find out how Cubic│Trafficware tested and deployed Swim to connect and transform the enormous volumes of data into a highly accessible real-time traffic information service.
Dubai Roads and Transportation Authority (RTA) operates a sophisticated, modern software infrastructure based on industry-leading technologies in data collection, message brokers, data storage, and analytics; it is used by regulators and officials in a state-of-the-art operations and control center. Using traditional approaches however, results were often delayed by hours and sometimes even a day.
View or download this case study and find out how Dubai RTA operators and regulators use Swim to form a better understanding of everything from how and when traffic delays form across busy routes, to the occupancy rates and available capacity of public transport in each community.
Today’s digital businesses are rapidly embracing event-driven architectures to augment, and in some cases replace, traditional batch-driven IT. They have turned to Apache Kafka to speed data delivery into data warehouses for later analysis. But a new class of continuous, event-driven applications – continuous intelligence applications – is emerging that deliver faster, accurate situational awareness directly from event streams as events occur, allowing IT systems to stay in complete sync with the real world.
This paper will help architects, developers and administrators understand how Swim Continuum helps to address business-critical needs by supporting continuous intelligence applications atop Apache Kafka.
Web Agents are self-contained distributed objects and at the core of a modern software architecture, which is designed to derive insights from data in motion and provides an elegant solution for achieving real-time situational awareness. They offer a more efficient approach to gaining contextual insights from continuous intelligence solutions when considering the traditional pitfalls that come with integrating modern software technologies.
View or download this technical white paper and find out how Web Agents can be composed into complex solutions without sacrificing the scalability and performance expected from today’s modern, internet-based applications or solutions.
The broad adoption of Apache Kafka is indicative of a sea-change in enterprise data infrastructure: Today’s enterprise infrastructure is heavily instrumented and delivers events at high resolution that must be continuously analyzed, in context, to deliver real-time intelligence to the organization. Continuous intelligence is quickly becoming accepted as the preferred way to tame the floods of real-time data, derive intelligence on-the-fly and enable fast decision-making and responses.
View or download this white paper and find out how organizations can gather continuous intelligence from Apache Kafka event streams to inform and automate decisions in real-time.
Whether today’s organizations ultimately sink or swim in data depends on their ability to transform boundless streams of data into timely, contextual insights relevant to their business operations. Continuous intelligence is the next big evolution in software architecture that helps organizations contend with the inundation of information while deriving timely, meaningful insights from boundless data streams.
View or download this business white paper and find out why organizations need to continuously and statefully analyze new data, avoiding database limitations, and process, analyze and visualize all data in concert.
Mobile Edge Computing (MEC) lets network service providers offer new services and host customer applications that depend on real-time insights, in the context of the edge. It also provides them with real-time insights that enable them to monitor and optimize the network service quality and dynamically control their core networks.
View or download this white paper and find out how MEC is uniquely situated to identify dynamic relationships between data sources, surface insights and respond in real time to real-world needs.
There is a growing need for businesses and systems to be able to react to events as they are happening. Today, many situations and applications cannot rely on analyzing data after the fact. There is no luxury of time, and decisions must be made as events unfold. These applications require continuous intelligence, which gives organizations the information needed to react to events as they are happening.
View or download this report and learn how continuous intelligence allows organizations to collect, organize, and analyze dynamic and static data in context to enable fast actions in response to real-time events.
Continuous Intelligence is a paradigm shift in terms of how to think about analytics and analytics applications, but organizations are already building these applications today and are gaining significant competitive advantage from doing so. There are numerous benefits from continuous intelligence, ranging from situational awareness regarding business drivers to improved operational responsiveness to augmenting manual or automatic decision-making.
View or download this report and read about the 5 ways how continuous intelligence helps organizations accelerate their digital transformation efforts and become better and more efficient at servicing their customers.
This technical eBook is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things - lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This eBook places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.
View or download this eBook, which explains how continuous intelligence overcomes the limitations of the traditional “store-then-analyze” data analytics approach and places it in an architectural context, with reference to established technologies and use cases.
Swim Streams is a developer focused podcast discussing modern application development for distributed systems. You can listen to the entire series of podcasts or listen to the following podcasts featuring Swim subject matter experts. See more