Description: Further DetailsTitle: Azure Databricks CookbookCondition: NewSubtitle: Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics serviceEAN: 9781789809718ISBN: 9781789809718Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 09/17/2021Description: Get to grips with building and productionizing end-to-end big data solutions in Azure and learn best practices for working with large datasetsKey FeaturesIntegrate with Azure Synapse Analytics, Cosmos DB, and Azure HDInsight Kafka Cluster to scale and analyze your projects and build pipelinesUse Databricks SQL to run ad hoc queries on your data lake and create dashboardsProductionize a solution using CI/CD for deploying notebooks and Azure Databricks Service to various environmentsBook DescriptionAzure Databricks is a unified collaborative platform for performing scalable analytics in an interactive environment. The Azure Databricks Cookbook provides recipes to get hands-on with the analytics process, including ingesting data from various batch and streaming sources and building a modern data warehouse.The book starts by teaching you how to create an Azure Databricks instance within the Azure portal, Azure CLI, and ARM templates. You’ll work through clusters in Databricks and explore recipes for ingesting data from sources, including files, databases, and streaming sources such as Apache Kafka and EventHub. The book will help you explore all the features supported by Azure Databricks for building powerful end-to-end data pipelines. You'll also find out how to build a modern data warehouse by using Delta tables and Azure Synapse Analytics. Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL. Finally, you'll deploy and productionize a data pipeline as well as deploy notebooks and Azure Databricks service using continuous integration and continuous delivery (CI/CD).By the end of this Azure book, you'll be able to use Azure Databricks to streamline different processes involved in building data-driven apps.What you will learnRead and write data from and to various Azure resources and file formatsBuild a modern data warehouse with Delta Tables and Azure Synapse AnalyticsExplore jobs, stages, and tasks and see how Spark lazy evaluation worksHandle concurrent transactions and learn performance optimization in Delta tablesLearn Databricks SQL and create real-time dashboards in Databricks SQLIntegrate Azure DevOps for version control, deploying, and productionizing solutions with CI/CD pipelinesDiscover how to use RBAC and ACLs to restrict data accessBuild end-to-end data processing pipeline for near real-time data analyticsWho this book is forThis recipe-based book is for data scientists, data engineers, big data professionals, and machine learning engineers who want to perform data analytics on their applications. Prior experience of working with Apache Spark and Azure is necessary to get the most out of this book.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Phani Raj, Vinod JaiswalGenre: Computing & InternetISBN-10: 1789809711Release Year: 2021 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Azure Databricks Cookbook
Title: Azure Databricks Cookbook
Subtitle: Accelerate and scale real-time analytics solutions using the Apac
EAN: 9781789809718
ISBN: 9781789809718
Release Date: 09/17/2021
Release Year: 2021
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 1789809711
Number of Pages: 452 Pages
Publication Name: Azure Databricks Cookbook : Accelerate and Scale Real-Time Analytics Solutions Using the Apache Spark-Based Analytics Service
Language: English
Publisher: Packt Publishing, The Limited
Publication Year: 2021
Subject: Data Modeling & Design, General
Type: Textbook
Item Length: 92.5 in
Author: Phani Raj, Vinod Jaiswal
Subject Area: Mathematics, Computers
Item Width: 75 in
Format: Trade Paperback
