Powering Data-Intensive Applications with Apache Spark & SingleStore

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Presented by

Sarung Tripathi, Principal Solutions Consultant at SingleStore

About this talk

Data-intensive applications today rely on robust data infrastructures that can support ultra-fast ingest, streaming data transformations, and low latency query performance. Today, leading organizations across the globe are building scalable, fault-tolerant, interactive streaming applications utilizing the power of Apache Spark together with SingleStore With the SingleStore Spark Connector, data engineers and data scientists have the ultimate solution to accelerate building these fast, data-intensive applications while enabling machine learning and AI. Join Sarung Tripathi, Principal Solutions Consultant at SingleStore for this webinar to learn more about: - How to build and power your data-intensive applications using SingleStore & Apache Spark - How SingleStore can act as the analytical backbone for Spark to accelerate analytics while reducing the time it takes to operationalize machine learning - How to configure SingleStore’s Spark Connector 3.0, so that you can leverage the computational power of Spark in tandem with the speedy data ingestion and durable storage benefits of SingleStore. Speakers: Sarung Tripathi, Principal Solutions Consultant at SingleStore

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SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers.