How to choose the right data platform for big data and fast data apps


The convergence of mobile, social, big data, and cloud has increased demands on applications to react instantaneously to changes in data at a large scale. A delay of a few seconds can mean the difference between engaging or losing a customer for a retailer, increased liquidity or fraud risk for a financial institution, and resolution or escalation of an adverse occurrence in an Internet of Things (IoT) network.

Application performance is highly correlated to how quickly an app can access and process a variety of data types. It's crucial that data platforms provide high performance as data changes, scales out linearly to handle large data sets, and maintains data integrity and security.

Join this webinar to learn about the market and data trends driving the need for computing and in-memory storage. Key topics include:

  • Use cases and requirements for big and fast data projects, from a data management perspective
  • Red Hat® JBoss® Data Grid—a 4-in-1 package used as a distributed cache, an in-memory NoSQL database, an event broker, and a big data/IoT store
  • Solving modern data management requirements with JBoss Data Grid

Duration: 60 minutes


Divya Mehra

Principal Product Manager, Red Hat

Divya Mehra is responsible for product strategy and roadmaps in the application platforms group at Red Hat, focusing on Red Hat JBoss Data Grid. He holds a Master's degree in Computer Science from Johns Hopkins and an MBA from Cornell.

William Burns

Senior Software Engineer, Red Hat

William Burns has worked in the Red Hat JBoss Middleware engineering group for 3 years, where he spends his time improving—and adding features to—the embedded core and server components of Red Hat JBoss Data Grid.


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How to choose the right data platform for big data and fast data apps

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