{"product_id":"implementing-a-data-analytics-solution-with-azure-databricks-dp-3011","title":"Implementing a Data Analytics Solution with Azure Databricks (DP-3011)","description":"\u003cdiv\u003e\n\u003cp\u003eThis one-day, hands-on course introduces learners to building scalable data analytics solutions using Azure Databricks and Apache Spark. Participants will explore how to ingest, transform, and analyze large datasets using Spark DataFrames, Spark SQL, and PySpark. The course emphasizes practical skills in managing distributed data processing, optimizing Delta Lake tables, and orchestrating workloads with Lakeflow Jobs and pipelines.\u003c\/p\u003e\r\n\u003cp\u003eLearners will also gain experience in data governance and security using Unity Catalog and Microsoft Purview, ensuring their solutions are secure and production-ready. Through guided exercises and collaborative notebooks, participants will build confidence in designing ETL pipelines, enforcing data quality, and automating analytics workflows.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eImplementing a Data Analytics Solution with Azure Databricks (DP-3011) 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\u003eNavigate the Azure Databricks workspace and identify key workloads.\u003c\/li\u003e\n\u003cli\u003eIngest and explore data using Spark DataFrames and collaborative notebooks.\u003c\/li\u003e\n\u003cli\u003eTransform and analyze data at scale using Apache Spark in Databricks.\u003c\/li\u003e\n\u003cli\u003eManage data consistency and versioning with Delta Lake features.\u003c\/li\u003e\n\u003cli\u003eBuild and deploy Lakeflow pipelines and jobs for automated data processing.\u003c\/li\u003e\n\u003cli\u003eApply governance and security practices using Unity Catalog and Purview.\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\u003cul\u003e\n\u003cli\u003eFamiliarity with Python and SQL (basic scripting and query writing).\u003c\/li\u003e\n\u003cli\u003eUnderstanding of common data formats (CSV, JSON, Parquet).\u003c\/li\u003e\n\u003cli\u003eExperience with Azure portal and services such as Azure Storage.\u003c\/li\u003e\n\u003cli\u003eAwareness of data concepts like batch vs. streaming and structured vs. unstructured data.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eWho Should Attend\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis course is ideal for:\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003e\n\u003cb\u003eData Analysts\u003c\/b\u003e looking to scale their analytics workflows using Spark and Databricks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eData Engineers\u003c\/b\u003e seeking to build and automate ETL pipelines in Azure.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTechnical Professionals\u003c\/b\u003e working with large datasets and cloud-based analytics platforms.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eParticipants will gain practical skills to manage data pipelines, perform advanced analysis, and ensure secure data operations in Azure Databricks.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eImplementing a Data Analytics Solution with Azure Databricks (DP-3011) Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Explore Azure Databricks\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the purpose and architecture of Azure Databricks.\u003c\/li\u003e\n\u003cli\u003eIdentify common workloads and key concepts in the Databricks environment.\u003c\/li\u003e\n\u003cli\u003eExplore data governance features using Unity Catalog and Microsoft Purview.\u003c\/li\u003e\n\u003cli\u003eNavigate the workspace and complete a guided hands-on exercise.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Perform Data Analysis with Azure Databricks\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIngest data from sources such as Azure Data Lake and Azure SQL Database.\u003c\/li\u003e\n\u003cli\u003eUse collaborative notebooks for exploratory data analysis (EDA).\u003c\/li\u003e\n\u003cli\u003eVisualize and manipulate data using DataFrame APIs.\u003c\/li\u003e\n\u003cli\u003eUncover patterns and anomalies through guided analysis exercises.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Use Apache Spark in Azure Databricks\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eCreate and manage Spark clusters within Databricks.\u003c\/li\u003e\n\u003cli\u003eRun Spark jobs to transform and analyze large datasets.\u003c\/li\u003e\n\u003cli\u003eVisualize data using built-in tools and notebooks.\u003c\/li\u003e\n\u003cli\u003eApply Spark to real-world data files in a hands-on lab.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Manage Data with Delta Lake\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eCreate and optimize Delta tables for scalable data storage.\u003c\/li\u003e\n\u003cli\u003eEnforce schema consistency and handle schema evolution.\u003c\/li\u003e\n\u003cli\u003eUse time travel and versioning to manage historical data.\u003c\/li\u003e\n\u003cli\u003eEnsure data integrity through ACID transactions and validation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Build Lakeflow Declarative Pipelines\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eDesign scalable data pipelines using Lakeflow’s declarative approach.\u003c\/li\u003e\n\u003cli\u003eIntegrate real-time and batch data ingestion workflows.\u003c\/li\u003e\n\u003cli\u003eImplement advanced Delta Lake features in pipeline design.\u003c\/li\u003e\n\u003cli\u003eComplete a hands-on exercise to build a Lakeflow pipeline.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Deploy Workloads with Lakeflow Jobs\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the components and benefits of Lakeflow Jobs.\u003c\/li\u003e\n\u003cli\u003eAutomate complex data processing and analytics tasks.\u003c\/li\u003e\n\u003cli\u003eDeploy and monitor workloads using Databricks orchestration tools.\u003c\/li\u003e\n\u003cli\u003eCreate and run a Lakeflow Job in a guided exercise.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267A69US \/ 2026-07-22T09:00:00 \/ 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