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Scala Programming for Big Data Analytics

in comparison to Java, and how Scala is related to Apache Spark for big data analytics. Next, you'll set up the Scala environment ready for examining;

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Big Data Analytics with Spark

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster;

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Apache Spark 2

and use-cases of Apache Spark 2.x, this Learning Path is ideal for you. Big data professionals who want to learn how to integrate and use the;

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Scala and Spark for Big Data Analytics

of big data, this book is for you. The first part introduces you to Scala, helping you understand the object-oriented and functional programming;

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Big Data Analytics

A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop;

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Apache Spark 2.x for Java Developers

industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java;

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Fast Data Processing with Spark 2 - Third Edition

Learn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker;

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Scala Data Analysis Cookbook

* Implement Scala in your data analysis using features from Spark, Breeze, and Zeppelin * Scale up your data anlytics infrastructure with practical;

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Spark for Data Science

' implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and;

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Learning Spark

using MLflow Use open source Pandas framework Koalas and Spark for data transformation and feature engineering;

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Big Data Analytics with Hadoop 3

effective big data analytics solutions on-premise and on cloud Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and;

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Spark in Action

. Apache Spark is a big data processing framework perfect for analyzing near-real-time streams and discovering historical patterns in batched;

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Learning Apache Spark 2

experience and want to understand how Spark can help them on their analytics journey. What You Will Learn * Get an overview of big data;

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Real-Time Big Data Analytics

-time data processing * Load datasets, build queries, and make recommendations using Spark SQL Who This Book Is For If you are a Big Data;

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Hands-On Big Data Analytics with PySpark

create high-performance analytics with big data, but also discover techniques for testing, immunizing, and parallelizing Spark jobs. You will;

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Optimizing Databricks Workloads

collaborative Apache Spark-based big data analytics platform for data science and data engineering in the cloud. In Optimizing Databricks Workloads;

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Learning Spark

computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs;

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Big Data Science & Analytics

expected to create a smarter and more efficient world for all of us to live in. This new area of technology has been defined as Big Data Science;

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Practical Big Data Analytics

modeling, and data visualization for Big Data Book DescriptionBig Data analytics relates to the strategies used by organizations to collect;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data;

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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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Next Generation Big Data

for data wrangling and interactive data processing Turbocharge Spark with Alluxio, a distributed in-memory storage platform Deploy big data;

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Handbook of Big Data Analytics: Applications in ICT, security and business analytics

work is aimed at providing a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data;

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Mastering Apache Spark 2.x -

parameter settings affect overall performance of an Apache Spark cluster * Leverage Scala, R and python for your data science projects In Detail;

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Spark in Action, Second Edition

The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any;

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Apache Spark Graph Processing

Build, process and analyze large-scale graph data effectively with Spark About This Book * Find solutions for every stage of data;

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Handbook of Big Data Analytics: Methodologies

work is aimed at providing a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data;

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