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Distributed Data Lab FAQ

How can I register for the Distributed Data Lab private beta?

You can request access to the Distributed Data Lab private beta by email via the Scaleway betas page.

What is Apache Spark?

Apache Spark is an open-source unified analytics engine designed for large-scale data processing. It provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Spark offers high-level APIs in Java, Scala, Python, and R, and an optimized engine that supports general execution graphs.

How does Apache Spark work?

Apache Spark processes data in memory, which allows it to perform tasks up to 100 times faster than traditional disk-based processing frameworks like Hadoop MapReduce. It uses Resilient Distributed Datasets (RDDs) to store data across multiple nodes in a cluster and perform parallel operations on this data.

How am I billed for Distributed Data Lab?

During the private beta, Scaleway Distributed Data Lab is free.

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