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Develop Apps for Fast Data The need for fast data applications is growing rapidly, driven by the IoT, the surge in machine-to-machine (M2M) data, global mobile device proliferation, and the monetization of SaaS platforms. So how do you combine real-time, streaming analytics with real-time...

Software designers and architects build software stack reference architectures to solve common, repeating problems. A great example is the LAMP stack, which provides a framework for building web applications. Big Data is data at rest; Fast Data is streaming data, data in motion....

Successfully writing applications to manage fast streams of data generated by mobile, smart devices, social interactions, and the Internet is development’s next big challenge. This VoltDB white paper explores three different approaches – fast online transaction processing (OLTP) solutions; streaming solutions, e.g. complex...

Fast Data requires systems that deliver real-time interaction and decisions to create business value. Big Data is historical data that requires storage, curation and deep analytics. Together, Fast Data and Big Data empower enterprises in financial services, telecoms, advertising technology, retail, smart...

As the IoT continues to evolve, large vertical capabilities are converging to form an unexpected—and strong—new reference architecture for this emerging network. Machine-to-machine communications, big data, cloud computing, distributed systems, networking, mobile and telco, apps, and...

The Need for Speed and Scale (and Translytical Databases) In this webinar, join Forrester Analyst Mike Gualtieri and Peter Vescuso in talking about a new type of database: Translytical Databases. These databases offer a single platform for both real-time analytics and transactions. This webinar was recorded...