is comprised of Certified Spark Developers with real-world production experience integrating Apache Spark, a fast and general cluster computing system for Big Data.
What is Spark?
Spark is a fast and general cluster computing system for Big Data. It provides high-level APIs in Scala, Java, and Python, and an optimized engine that supports general computation graphs for data analysis. A recent survey dictated that 88% of Spark users are also utilizing Scala as their language of choice. The two are a logical choice and play nice together because Spark was written in Scala, but it also has APIs in Java, Python, and R. Apache Spark is also the number one open-source project within the Big Data ecosystem, and with over 1,000 contributors, the technology is improving at an accelerating pace.
Why use Spark?
Apache Spark is quickly assuming it?s place as the premiere technology to handle big data, it features:
Spark provides a comprehensive set of integrated data tools, with new data tools added on a near daily basis.
Designed for extensibility making it simple to add new components.
Concurrent and distributed
Scala and Akka provide a superior way of building concurrent and distributed systems that are far less error prone and effectively utilize multi-core processors.
Spark Streaming provides the ability to process data in mini-batches yielding scalable, high throughput, near real-time processing of data streams.
Spark includes ?query optimizers? that can optimize over multiple steps.
Designed to run on large, scalable clusters of nodes.
Easily recovers from failures using checkpointing or re-computation.
Spark connects to a wide variety of data sources and sinks including most databases and messaging systems.