{"product_id":"implementing-a-lakehouse-with-microsoft-fabric-dp-601","title":"Implementing a Lakehouse with Microsoft Fabric (DP-601)","description":"\u003cdiv\u003e\n\u003cp\u003eThis course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This \u003cb\u003eMicrosoft Fabric (DP-601) Training\u003c\/b\u003e course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines.\u003c\/p\u003e\r\n\u003cp\u003eThis course includes a combination of lectures and hands-on exercises that will prepare you to work with Lakehouses in Microsoft Fabric.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eImplementing a Lakehouse with Microsoft Fabric (DP-601) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course, you will:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDiscover how Microsoft Fabric can meet your enterprise's analytics needs in one platform.\u003c\/li\u003e\n\u003cli\u003eDescribe core features and capabilities of lakehouses in Microsoft Fabric.\u003c\/li\u003e\n\u003cli\u003eAnalyze and process data in a Lakehouse at scale.\u003c\/li\u003e\n\u003cli\u003eCreate advanced analytics solutions using the enhanced capabilities of delta tables.\u003c\/li\u003e\n\u003cli\u003eVisually create multi-step data ingestion and transformation using Power Query Online with Dataflows (Gen2).\u003c\/li\u003e\n\u003cli\u003eCreate pipelines that orchestrate data ingestion and transformation tasks with Data Factory capabilities within Microsoft Fabric.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eYou should be familiar with basic data concepts and terminology.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eMicrosoft Fabric (DP-601) Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Introduction to end-to-end analytics using Microsoft Fabric\u003c\/h4\u003e\n\u003cp\u003eIn this module, you'll learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe end-to-end analytics in Microsoft Fabric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Get started with lakehouses in Microsoft Fabric\u003c\/h4\u003e\n\u003cp\u003eIn this module, you'll learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe core features and capabilities of lakehouses in Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003eCreate a lakehouse\u003c\/li\u003e\n\u003cli\u003eIngest data into files and tables in a lakehouse\u003c\/li\u003e\n\u003cli\u003eQuery lakehouse tables with SQL\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Use Apache Spark in Microsoft Fabric\u003c\/h4\u003e\n\u003cp\u003eIn this module, you'll learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConfigure Spark in a Microsoft Fabric workspace\u003c\/li\u003e\n\u003cli\u003eIdentify suitable scenarios for Spark notebooks and Spark jobs\u003c\/li\u003e\n\u003cli\u003eUse Spark dataframes to analyze and transform data\u003c\/li\u003e\n\u003cli\u003eUse Spark SQL to query data in tables and views\u003c\/li\u003e\n\u003cli\u003eVisualize data in a Spark notebook\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Work with Delta Lake tables in Microsoft Fabric\u003c\/h4\u003e\n\u003cp\u003eIn this module, you'll learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand Delta Lake and delta tables in Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003eCreate and manage delta tables using Spark\u003c\/li\u003e\n\u003cli\u003eUse Spark to query and transform data in delta tables\u003c\/li\u003e\n\u003cli\u003eUse delta tables with Spark structured streaming\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Ingest Data with Dataflows Gen2 in Microsoft Fabric\u003c\/h4\u003e\n\u003cp\u003eIn this module, you'll learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe Dataflow (Gen2) capabilities in Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003eCreate Dataflow (Gen2) solutions to ingest and transform data\u003c\/li\u003e\n\u003cli\u003eInclude a Dataflow (Gen2) in a pipeline\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Use Data Factory pipelines in Microsoft Fabric\u003c\/h4\u003e\n\u003cp\u003eIn this module, you'll learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe pipeline capabilities in Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003eUse the Copy Data activity in a pipeline\u003c\/li\u003e\n\u003cli\u003eCreate pipelines based on predefined templates\u003c\/li\u003e\n\u003cli\u003eRun and monitor 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