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Spark GraphX in Action

, handling important machine learning algorithms, and much more. Spark GraphX in Action starts out with an overview of Apache Spark and the;

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Big Data Analytics

Spark components: Spark Core, Spark SQL, DataFrames, DataSets, Conventional and Structured Streaming, MLLib, ML Pipelines and Graphx * See;

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Spark in Action

infrastructure investment, and Spark's core abstractions are intuitive for most Scala, Java, and Python developers. Spark in Action;

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Apache Spark 2.x for Java Developers

SQL Library * Explore Spark Mlib APIs while implementing Machine Learning techniques to solve real-world problems * Get to know Spark GraphX;

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Fast Data Processing with Spark 2 - Third Edition

statistical language, to work with Spark * Apply interesting graph algorithms and graph processing with GraphX In Detail When people want a way;

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Apache Spark 2.x Cookbook

Over 70 recipes to help you use Apache Spark as your single big data computing platform and master its libraries About This Book;

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Scala and Spark for Big Data Analytics

structured and unstructured data using SparkSQL and GraphX * Scalable and fault-tolerant streaming application development using Spark structured;

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Frank Kane's Taming Big Data with Apache Spark and Python

analysis using Spark's GraphX library * Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster In Detail Frank Kane's;

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Apache Spark 2

to optimize your work by using many features of Spark 2.x and Scala Book DescriptionApache Spark is an in-memory, cluster-based data;

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Big Data Analytics with Spark

and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy;

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Spark in Action, Second Edition

source. In Spark in Action, Second Edition, you'll learn to take advantage of Spark's core features and incredible processing speed, with;

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Mastering Apache Spark 2.x -

Processing and Analysis using GraphX and GraphFrames * Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker;

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Scala Data Analysis Cookbook

well as utilizing Spark GraphX. Style and approach This book contains a rich set of recipes that covers the full spectrum of interesting;

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Hadoop Application Architectures

system Data processing frameworks, including MapReduce, Spark, and Hive Common Hadoop processing patterns, such as removing duplicate records and;

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Apache Spark Graph Processing

of vertices, trillions of edges - poses challenges to their efficient processing. Apache Spark GraphX API combines the advantages of both data;

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Whiteboard

Dr. Daren Martin has used the Whiteboard to spark conversations, drive change, and Inspire meaningful action in some of the biggest;

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Big Data SMACK

: Scala The engine: Spark (SQL, MLib, Streaming, GraphX) The container: Mesos, Docker The view: Akka The storage: Cassandra The;

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Beginning Apache Spark 2

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable;

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Faith It Don't Fake It

In your hands you are holding the manifestation of the author's faith and action. This book was written in a prison cell and was designed;

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Professional Spark

Production-targeted Spark guidance with real-world use cases Spark: Big Data Cluster Computing in Production goes beyond general Spark;

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Practical Apache Spark

Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses;

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Learning Spark

learning. How can you process such varied data workloads efficiently? Enter Apache Spark. Updated to emphasize new features in Spark 2.4., this;

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Action Bible Devotional

. Your Debrief three questions to spark some brain cells. Mission Accomplished your place to make notesIt s all about faith in action as you dive;

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In the Spirit of Spark

In November 2017 Ali Smith gave the annual Muriel Spark Lecture to kick off the Muriel Spark centenary celebrations. Those lucky enough to;

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Spark 3 Leerwerkboek

Spark 3 leerwerkboek (incl. spark strategy guide);

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Maththatmatters

sure to spark meaningful discussions...and action.;

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Spark the Stone Man

the only entry to the Valley is kept secret by the Royal House of stone–masons. Nevertheless, our little hero, Spark, learns the secret and;

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