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Azure Databricks Cookbook · LearnSpace
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Azure Databricks Cookbook

Курс от Packt
Средний≈ 10.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

The Azure Databricks Cookbook shows you how to work with the latest as well as older versions of Apache Spark and integrate with various Azure resources for orchestrating, deploying, and monitoring big data solutions. You'll use Azure Databricks to build end-to-end solutions and address challenges in securing, productionizing, and monitoring them. This course provides a hands-on approach to mastering Azure Databricks for scalable analytics and data pipeline development. It covers essential skills for working with data in cloud environments, including integration with Azure services and real-time data processing. Designed for professionals looking to enhance their data engineering and analytics capabilities, it offers practical insights and actionable techniques. With a problem solution approach, this book teaches how to create end-end big data solution using data from various sources like batch and streaming and how to version control, deploy the solution to production and monitor the solution. This course is ideal for data engineers, data scientists, and big data professionals with prior experience in Apache Spark and Azure. It helps learners develop advanced skills in cloud-based data analytics and pipeline development.

Навыки, которые вы освоите

Data PipelinesAzure DevOpsApache SparkData WarehousingBig DataContinuous IntegrationData ArchitectureData ManagementReal Time DataDevOpsData ProcessingPower BIData LakesMicrosoft AzureData IntegrationCI/CDAzure DevOps PipelinesCloud SecurityApache KafkaDatabricks

Программа курса

10 модулей · 88 учебных материалов

01Creating an Azure Databricks Service6 материалов

Automating Databricks Workspaces and Collaborative Data Development

OverviewВидеоIntroductionЧтениеCreating a Databricks Service Using the Azure CLIЧтениеAdding Users and Groups to the WorkspaceЧтение

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Packt - Course Instructors

Преподаватель курса

Azure Databricks Cookbook
В каталоге вашей программы

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Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 10.6 ч

10 модулей

Язык: Английский

Часть программы вашего университета
Getting Started with Notebooks and Jobs in Azure DatabricksЧтение
Azure Databricks Service FundamentalsЗадание
02Reading and Writing Data from and to Various Azure Services and File Formats11 материалов

Mastering Data Integration Across Azure Services and Formats

OverviewВидеоIntroductionЧтениеReading and Writing Data from and to Azure Blob StorageЧтениеReading and Writing Data from and to ADLS Gen2ЧтениеReading and Writing Data from and to an Azure SQL Database Using Native ConnectorsЧтениеReading and Writing Data from and to Azure Synapse SQL (Dedicated SQL Pool) Using Native ConnectorsЧтениеReflect: Choose Your Azure Data Storage StrategyDIALOGUEReading and Writing Data from and to Azure Cosmos DBЧтениеReading and Writing Data from and to CSV and ParquetЧтениеReading and Writing Data from and to JSON, Including Nested JSONЧтениеData Handling in Azure EcosystemЗадание
03Understanding Spark Query Execution10 материалов

Mastering Spark Query Workflows: From Execution Plans to Performance Tuning

OverviewВидеоIntroductionЧтениеChecking the Execution Details of All the Executed Spark Queries via the Spark UIЧтениеDeep Diving into Schema InferenceЧтениеLooking into the Query Execution PlanЧтениеPractice: Diagnose and Optimize a Slow Spark JobDIALOGUEHow Joins Work in SparkЧтениеLearning About Input PartitionsЧтениеLearning About Shuffle PartitionsЧтениеSpark Query Execution FundamentalsЗадание
04Working with Streaming Data10 материалов

Mastering Real-Time Data Pipelines with Spark and Azure

OverviewВидеоIntroductionЧтениеReading Streaming Data from Azure Event HubsЧтениеReading Data from Event Hubs for KafkaЧтениеStreaming Data from Log FilesЧтениеPractice: Balancing Streaming Pipeline Trade-offsDIALOGUEUnderstanding Trigger OptionsЧтениеUnderstanding Window Aggregation on Streaming DataЧтениеUnderstanding Offsets and CheckpointsЧтениеStreaming Data FundamentalsЗадание
05Integrating with Azure Key-Vault, App Configuration and Log Analytics6 материалов

Securing, Configuring, and Monitoring Azure Solutions

OverviewВидеоIntroductionЧтениеCreating an Azure Key Vault to Store Secrets Using ARM TemplatesЧтениеCreating an App Configuration ResourceЧтениеCreating a Log Analytics WorkspaceЧтениеSecure Cloud Configuration and MonitoringЗадание
06Exploring Delta Lake in Azure Databricks10 материалов

Mastering Reliable Data Lakes with Delta Lake on Azure Databricks

OverviewВидеоIntroductionЧтениеStreaming Reads and Writes to Delta TablesЧтениеDelta Table Data FormatЧтениеHandling ConcurrencyЧтениеPractice: Analyze Concurrency in Delta LakeDIALOGUEDelta Table Performance OptimizationЧтениеConstraints in Delta TablesЧтениеVersioning in Delta TablesЧтениеExploring Delta Lake CapabilitiesЗадание
07Implementing Near-Real-Time Analytics and Building Modern Data Warehouse11 материалов

From Data Streams to Dashboards: Building Modern Analytics Solutions on Azure

OverviewВидеоIntroductionЧтениеCreating Required Azure Resources for the E2E DemonstrationЧтениеSimulating a Workload for Streaming DataЧтениеProcessing Streaming and Batch Data Using Structured StreamingЧтениеPractice: Design an End-to-End Analytics PipelineDIALOGUEUnderstanding the Various Stages of Transforming DataЧтениеLoading the Transformed Data into Azure Cosmos DB and a Synapse Dedicated PoolЧтениеCreating a Visualization and Dashboard in a Notebook for Near-Real-Time AnalyticsЧтениеCreating a Visualization in Power BI for Near-Real-Time AnalyticsЧтениеData Processing and Cloud Integration FundamentalsЗадание
08Databricks SQL6 материалов

Mastering Data Access and Visualization in Databricks SQL

OverviewВидеоIntroductionЧтениеGranting Access to Objects to the UserЧтениеUsing Query Parameters and FiltersЧтениеIntroduction to Visualizations in Databricks SQLЧтениеDatabricks SQL FundamentalsЗадание
09DevOps Integrations and Implementing CI/CD for Azure Databricks8 материалов

Mastering CI/CD Pipelines and Version Control for Azure Databricks

OverviewВидеоIntroductionЧтениеUsing GitHub for Azure Databricks Notebook Version ControlЧтениеUnderstanding the CI/CD Process for Azure DatabricksЧтениеPractice: Design a CI/CD Strategy for DatabricksDIALOGUEDeploying Notebooks to Multiple EnvironmentsЧтениеEnabling CI/CD in an Azure DevOps Build and Release PipelineЧтениеCI/CD and DevOps Integration in Azure DatabricksЗадание
10Understanding Security and Monitoring in Azure Databricks10 материалов

Securing Data and Monitoring Clusters in Azure Databricks

OverviewВидеоIntroductionЧтениеCreating ACLs Using Storage Explorer and PowerShellЧтениеHow to Configure Credential PassthroughЧтениеHow to Restrict Data Access to Users Using RBACЧтениеHow to Restrict Data Access to Users Using ACLsЧтениеPractice: Design a Data Lake Security StrategyDIALOGUEDeploying Azure Databricks in a VNet and Accessing a Secure Storage AccountЧтениеUsing Ganglia Reports for Cluster HealthЧтениеSecuring Data and User Access in Azure DatabricksЗадание