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Spark is our all-in-one platform of integrated digital tools, supporting every stage of teaching and learning English with National Geographic Learning.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Spark 4.0.0 released. We are happy to announce the availability of Spark 4.0.0! Visit the release notes to read about the new features, or download the release today. Spark News Archive. Latest News. Spark 3.5.6 released (May 29, 2025) Spark 4.0.0 released (May 23, 2025)
Spark is a platform for learning English online with interactive courses and activities. To sign in, enter your username and password, or create an account if this is your first time using Spark.
Spark is an ideal workload in the cloud, because the cloud provides performance, scalability, reliability, availability, and massive economies of scale. ESG research found 43% of respondents considering cloud as their primary deployment for Spark. The top reasons customers perceived the cloud as an advantage for Spark are faster time to ...
Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R (Deprecated), and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for ...
Learn Spark version 3.5 with Scala code examples for beginners. Explore Spark features, architecture, installation, data sources, streaming, graph, and more.
With Spark 4, all Spark SQL features offer near-complete compatibility between Spark Connect and Classic execution mode, with only minor differences remaining. Spark Connect is the new client-server architecture for Spark that decouples the user application from the Spark cluster, and in 4.0, it's more capable than ever:
Apache Spark is a framework for data processing and analytics on various platforms and languages. Learn how to download, run, and use Spark for different workloads and applications.
Learn about Spark, a fast and flexible big data processing platform that supports SQL, streaming, machine learning, and graph analysis. See how to use Spark with Scala, Java, Python, and other languages and data sources.