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The Azure Data Lakehouse Toolkit

Design and implement a modern data lakehouse on the Azure Data Platform using Delta Lake, Apache Spark, Azure Databricks, Azure Synapse;

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Data Engineering with Apache Spark, Delta Lake, and Lakehouse

scenarios led by an industry expert in big data Key Features Become well-versed with the core concepts of Apache Spark and Delta Lake for;

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Optimizing Databricks Workloads

optimizations for big data workloads and maximizing performance Build efficient big data engineering pipelines with Databricks and Delta Lake;

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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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Modern Data Engineering with Apache Spark

Simplify data transformation with Spark Pipelines and Spark SQL Bridge data engineering with machine learning Architect modular data pipeline;

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Modern Data Engineering with Apache Spark

Intermediate-Advanced user level;...

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

Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available;

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Apache Spark 2

data flow and machine learning programs on this platform. You will work with the different modules in Apache Spark, such as interactive;

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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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Apache Spark 2.x Cookbook

of structured recipes to analyze and mature large and complex sets of data. Starting with installing and configuring Apache Spark with various cluster;

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Practical Apache Spark

Kafka Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries Work with different machine learning concepts;

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Beginning Apache Spark 3

efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing;

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Big Data Analytics

batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming * Get to grips with data science and;

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Mastering Apache Spark 2.x -

Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book * An advanced guide with a combination;

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Apache Spark Quick Start Guide

Features Learn about the core concepts and the latest developments in Apache Spark Master writing efficient big data applications with Spark's;

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Apache Spark Machine Learning Blueprints

to setting up Apache Spark, and use other analytical tools with it to process Big Data and build machine learning projects.The initial;

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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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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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Trino: The Definitive Guide

modern lakehouse with Iceberg or Delta Lake, a different system like Cassandra, Kafka, or SingleStore, or a relational database like PostgreSQL;

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PySpark Cookbook

Combine the power of Apache Spark and Python to build effective big data applications Key Features Perform effective data processing;

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Hands-On Deep Learning with Apache Spark

learning with Apache Spark Train neural networks with deep learning libraries such as BigDL and TensorFlow Develop Spark deep learning applications;

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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 in Action

teaches readers to use Spark for stream and batch data processing. It starts with an introduction to the Spark architecture and ecosystem;

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Mastering Spark with R The Complete Guide to LargeScale Analysis and Modeling

of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large;

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Apache Spark for Data Science Cookbook

and value of Apache Spark lies in its ability to execute data science tasks with speed and accuracy. Spark's selling point is that it combines;

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