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Beginning-Intermediate user level;...
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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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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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machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know;
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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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Databricks core functionalities, before performing distributed model training and inference using TensorFlow and Spark MLlib. As you advance, you'll;
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Store and retrieve data with Apache HBase Stream data processing using Apache Storm Work with Apache Spark Who This Book Is For Software;
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different Azure services work together using real life scenarios and how-to-build solutions in a single comprehensive cloud ecosystem. What You'll;
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This book is for data engineers, data scientists, and those who want to implement Spark for real-time data processing. Anyone who is using;
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different Azure services work together using real life scenarios and how-to-build solutions in a single comprehensive cloud ecosystem. What You'
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Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and;
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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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will teach you to write interactive Spark applications using Apache Zeppelin notebooks, write and compile reusable applications and modules;
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in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. About This Book * Understand how Spark;
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learning models efficiently on Spark using Azure Databricks Deploy machine learning models for batch and real-time scoring with Azure Kubernetes;
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using Spark Who This Book Is For If you are a Java developer interested in learning to use the popular Apache Spark framework, this book;
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Explore the latest Azure ETL techniques both on-premises and in the cloud using Azure services such as SQL Server Integration Services;
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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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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 processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions;
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, machine learning, and analytics using PySpark Overcome challenges in developing and deploying Spark solutions using Python Explore recipes for;
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using Microsoft Azure data services. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the;
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chunk of data in minimum time using advanced concepts in Spark. * Master the art of real-time processing with the help of Apache Spark 2.x;
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Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book * Customize;
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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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advanced analytics solutions on the Azure Data Platform. This book teaches you to design and implement robust data engineering solutions using Data;
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