SingleStore Logo

Powering Data-Intensive Applications with Apache Spark & SingleStore

On-Demand Webinar
Powering Data-Intensive Applications with Apache Spark & SingleStore

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

Watch Now

On-Demand Webinar
By clicking the button below you understand SingleStore will retain and process your personal information in accordance with our Privacy Policy.

SingleStoreDB is The Real-Time Distributed SQL Database, designed for data-intensive applications.

The cloud-native operational database built for speed and scale
realtime
SPEED
Accelerate business with instant insights delivered by the world’s fastest database for operational analytics
singlestore-database
SCALE
Create your future on a platform made for the demands of the data revolution, including machine learning and AI
sql
SQL
Transform on your terms - with the familiarity and efficiency of SQL, and an architecture that bursts through limits

SingleStore Partners