What Is a Real-Time Database?
Live from QCon London: Streaming in a World of Legacy Applications
There are common themes when people describe their reasons for rearchitecting legacy business applications, at a technical level: Speed & Scalability. At a business level: The need to gain new insights flowing from an increasing stream of data. These legacy applications commonly centre around some central datastore such as a relational database. Moving away from this architecture requires massive migration effort. The costs and risks associated with such an effort can sometimes be prohibitive for business owners, you can’t just rip out your relational database.
Fast Data: The Key Ingredients to Real-Time Success
Today, the average enterprise has data streaming into business-critical applications and systems from a dizzying array of endpoints, from smart devices and sensor networks, to web logs and financial transactions. This onslaught of fast data is growing in size, complexity and speed, fueled by increasing business demands along with the rise of the Internet of Things. Therefore, it is no surprise that operationalizing insights at the point-of-action has become a top priority.
Many new technologies are coming to the forefront to facilitate real-time analytics, including in-memory platforms, self-service BI tools and all-flash storage arrays. To educate its readers about the key ingredients for success in building a fast data system, Database Trends and Applications is hosting a special roundtable webinar on February 23rd. Attendees will learn about enabling technologies, important success factors and real-world use cases.
Stream Processing: Instant Insight Into Data As It Flows
Read this e-book from RTInsights to get an overview of stream processing, including the popular use cases and what to plan for.
Streaming Data from the Network Edge
Read this white paper from RTInsights on how IoT/edge computing can open new up opportunities in your enterprise.
Accelerating Microservices with Streaming Technologies
The use of streaming technologies in microservices is an emerging trend that you should consider. And combining streaming with in-memory technologies lets you deploy and run your systems faster.