There’s no doubt about it. Apache Spark is well on its way to becoming a ubiquitous technology. Over the past year, we’ve created resources to help our users understand the real-world use cases for Spark as well as showcase how our technologies compliment one another. Now, we’ve organized and consolidated those materials into this very post.
Pinterest Measures Real-Time User Engagement with Spark\ Demo of real-time data pipeline processing and analyzing re-pins across the United States.
The State of In-Memory and Apache Spark\ Interview with SingleStore CEO and Co-Founder, Eric Frenkiel, describing how a memory-optimized solution made the difference for Pinterest.
Strata+Hadoop Session: Bringing OLAP Fully Online\ How to analyze changing datasets in SingleStore and Spark with a demo from Pinterest.
Blog Posts and Articles
Real-Time Analytics at Pinterest\ More about real-time analytics at Pinterest from the official Pinterest engineering blog.
How Pinterest Measures Real-Time User Engagement with Spark\ Learn how Pinterest is using Spark Streaming and SingleStore to find patterns in high-value user engagement data in this blog post.
Apache Kafka + Spark + Database = Real-Time Trinity\ Read this article from The New Stack to learn how to build real-time data pipelines with Kafka, Spark, and SingleStore.
Harnessing the Enterprise Capabilities of Spark\ Learn how to combine SingleStore and Spark for applications like stream processing and advanced analytics to increase business efficiency and revenue in this data-informed article.
Using Apache Spark in the Enterprise\ In this Inside big data article, Eric Frenkiel champions the use of Spark to achieve the promise of real-time analytics.
Extending SingleStore Analytics with Spark\ Learn how the SingleStore Spark Connector integrates operational data with advanced analytics in this Databricks blog post.
Operationalizing Spark with SingleStore\ This blog post highlights the shared characteristics of SingleStore and Spark and provides real-world use cases for using the two technologies in concert.
From Spark to Ignition: Fueling Your Business on Real-Time Analytics\ View slides from our Strata+Hadoop World session on the enterprise application of Spark for real-time analytics.
MemCity\ At Spark Summit, we launched a simulation built on the “the real-time trinity” of Kafka, Spark, and SingleStore. We call it MemCity, and use it to model energy consumption across 1.4 million homes to isolate trends in usage by volume, hour of the day, and location in a futuristic city. Read more about this application of Spark technology on the SingleStore blog.
ESRI with SingleStore Geospatial Intelligence\ Working with SingleStore and Spark, Esri, the leading provider of geographic information systems, analyzed data from millions of taxi rides in New York to identify trends to further urban planning. Learn more about the project here: NYC taxi data can drive smarter urban planning.
SingleStore Spark Connector\ The SingleStore Spark Connector provides everything you need to start using Spark and SingleStore together. Download now on GitHub.
Get started building your own real-time applications with Spark and SingleStore, download SingleStore Community Edition today.
Get The SingleStore Spark Connector Guide
The 79 page guide covers how to design, build, and deploy Spark applications using the SingleStore Spark Connector. Inside, you will find code samples to help you get started and performance recommendations for your production-ready Apache Spark and SingleStore implementations.\ Download Here