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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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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

processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. With this;

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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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Scala Programming for Big Data Analytics

Gain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark. The book begins;

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Spark for Data Science

to understand how algorithms are implemented in Spark, or a newbie with minimal development experience who wants to learn about 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

Process big data using the Spark DataFrame API with Delta Lake Analyze data using graph processing in Databricks Use MLflow to manage machine;

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Practical Big Data Analytics

as corporate IT executives - Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark;

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Fast Data Processing with Spark 2 - Third Edition

big data projects. About This Book * A quick way to get started with Spark - and reap the rewards * From analytics to engineering your;

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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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Beginning Azure Synapse Analytics

analyze your big data using Serverless Synapse SQL Pool. You also will learn Synapse Spark and Synapse Pipelines, with examples. And you will;

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Apache Spark 2.x for Java Developers

Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About This Book * Perform big;

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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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Big Data Science & Analytics

tools and frameworks for big data analytics, and the architectural and programming aspects of these frameworks, with examples in Python. We;

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

analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual;

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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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Handbook of Big Data Analytics: Methodologies

analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual;

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Big Data Analytics with Java

create useful object-oriented codes * Extensive use of Java compliant big data tools like apache spark, Hadoop, etc. Who This Book Is For;

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Big Data Analytics with R

compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platform In Detail Big Data analytics is the process of examining large;

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Scala and Spark for Big Data Analytics

analysis with Spark Who This Book Is For Anyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find;

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Learning Apache Spark 2

* Exclusive guide that covers how to get up and running with fast data processing using Apache Spark * Explore and exploit various possibilities with;

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Learning Spark

Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models;

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Beginning Apache Spark Using Azure Databricks

Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running;

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Scalable Big Data Architecture

imposed by dealing with the high throughput of Big data. Scalable Big Data Architecture is for developers, data architects, and data;

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Apache Spark for Data Science Cookbook

Over insightful 90 recipes to get lightning-fast analytics with Apache Spark About This Book * Use Apache Spark for data processing;

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