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GigaSpaces’ Vice President of Product and Strategy, Ali Hodroj, spoke at last Thursday’s Washington DC Area Apache Spark Interactive about Hybrid Transactional/Analytical Processing with Spark & In-Memory Data Grid architecture.
DOWNLOAD FULL PRESENTATION HERE
Let’s talk HTAP
Increasingly, businesses are trying to achieve better insights out of large amounts of streamed data by bringing it closer to real time processing power and querying from a live data mart. At the moment we are witnessing a convergence of workflows and technology platforms for real-time, analytics, cloud, and in-memory processing. This allows us to effectively address time-sensitive business decisions that involve the volumes of big data while benefiting from the velocities of real-time processing. This involves real-time analytics capabilities for price optimizations, fraud detection, risk calculations, and operational business intelligence. In this session, we present a fast data pipeline solution architecture combining in-memory computing and a high-performance Spark distribution. We will examine a large-scale transportation use case who implemented this solution for IoT real-time operational intelligence against billions of edge/sensor data points.
About the Meetup Group
This is an interactive meetup for Washington DC, Virginia and Maryland users, enthusiasts, and explorers of Apache Spark (www.spark-project.org). Spark is the powerful open source Data processing framework that extends and accelerates Hadoop; built around speed, ease of use, and sophisticated analytics. This is a very interactive meetup where we will exchange ideas, inspire and learn from each other, and bring the top minds and innovators around big data and real-time solutions to the table. This meetup is meant for both the business and technical community (both the curious and the experts) interested in the “how” and the “why” of Spark’s capabilities. The meetup will include introductions to the various Spark features and functions, case studies from current users, best practices for deployment, and speakers from the top technology leaders and vendors who are helping craft Spark’s roadmap for the future.
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