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Spark Streaming是Spark API的扩展，提供了可扩展的、高吞吐量的、可容错的实时数据处理。数据源可以是Kafka、Flume、Twitter、ZeroMQ、Kinesis和TCP sockets等，这些数据可以通过map、reduce、join和window等高级函数进行处理，处理后的数据可以存储至文件系统、数据库和仪表板 ...
apache spark dataframe

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MLlib in Apache Spark - Distributed machine learning library in Spark. Hydrosphere Mist - a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services. scikit-learn - A Python module for machine learning built on top of SciPy. metric-learn - A Python module for metric learning.
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Office 365 - c.s-microsoft.com
for Apache Spark provides high performance DataFrame-level APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access all aspects of Apache Spark including Spark SQL, for working with structured data, and Spark Streaming. Additionally, .NET for Apache Spark allows you to register and call user-defined functions written in ...
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[DOCX File]Abstract - Virginia Tech
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At present, we have deployed ArchiveSpark in a stand-alone machine due to the version conflict of Spark. The version of Spark for running ArchiveSpark is 1.6.0 or 2.1.0. Unfortunately, the Spark version is 1.5.0 in our Hadoop Cluster. Therefore, we need to upgrade the cluster and then deploy our framework to process big collections.
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[DOCX File]Table of Tables - Virginia Tech
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Users must now install Apache Spark version 2.2.1. These files can be downloaded for free from the Apache website. Most of the setup should be handled by the provided installer, but it is important that users set the SPARK_HOME environment variable to the location where Spark was installed.
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[DOCX File]Introduction - Microsoft
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Apache Spark. application. storage class: A definition that specifies how storage volumes that are used for persistent storage are to be configured. Uniform Resource Identifier (URI): A string that identifies a resource. The URI is an addressing mechanism defined in Internet Engineering Task Force (IETF) Uniform Resource Identifier (URI ...
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[DOC File]Notes on Apache Spark 2 - The Risberg Family
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Apache Spark 2.0. Beyond a time-bounded interaction, SparkSession provides a single point of entry to interact with underlying Spark functionality and allows programming Spark with DataFrame and Dataset APIs. Most importantly, it curbs the number of concepts and constructs a developer has to juggle while interacting with Spark.
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[DOCX File]Introduction .windows.net
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The Control Plane REST API protocol specifies an HTTP-based web service API that deploys data services and applications into a managed cluster environment, and then communicates with its management service APIs to manage high-value data stored in relational databases that have been integrated with high-volume data resources within a dedicated cluster.
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Apache spark dataframe foreach