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It also covers platform architecture, data protection and security, Delta Lake, structured streaming, data lake building, CI/CD with Azure DevOps, Azure Data Factory production workloads, Synapse integration, a live project, certification guidance, mock exam questions, interview practice, and job assistance.",{"@graph":69,"@context":127},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":20,"@type":76,"position":81},"https://docshare.wps.com/document/exam/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/data-bricks-training-course-content-exam-preparation/391994/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/data-bricks-training-course-content-exam-preparation/391994.png","ImageObject",300,407,{"name":92,"@type":93},"Ophelia","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-08","2026-09-25",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119,123],{"name":110,"@type":111,"acceptedAnswer":112},"How long is the Databricks certification training course and what batch options are offered?","Question",{"text":113,"@type":114},"The course duration is 45–50 hours over 7–8 weeks. A weekday batch runs Monday to Saturday with 1.5 hours per day.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What are the core technical topics taught in the course?",{"text":118,"@type":114},"It covers Azure Databricks and utilities, Spark architecture, Spark RDDs, reading/writing data (CSV/JSON/Parquet), DataFrames and SparkSQL, advanced DataFrame methods (aggregation, date-time, complex types, additional functions), and user-defined functions.",{"name":120,"@type":111,"acceptedAnswer":121},"Does the course include streaming, Delta Lake, and production workload integration?",{"text":122,"@type":114},"Yes. It includes structured streaming concepts and time windows, processing Event Hubs data, Delta Lake architecture, and creating production workloads using Azure Data Factory pipelines with scheduling and parameter passing.",{"name":124,"@type":111,"acceptedAnswer":125},"What support is provided for certification, interviews, and job preparation?",{"text":126,"@type":114},"The course provides Azure Databricks certification guidance, important exam questions, preparation steps, crisp resume preparation, common interview question discussion, mock interviews, and job assistance.","https://schema.org",{"og:url":83,"og:type":129,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":131,"canonical":83},"index,follow",{"doc_id":133,"site_id":62},391994,1790437470,{"code":4,"msg":5,"data":136},{"doc_id":133,"user_id":137,"nickname":92,"user_avatar":138,"doc_module":4,"category_id":19,"category_name":20,"doc_title":65,"doc_description":67,"doc_content":139,"file_id":140,"file_url":141,"file_type":142,"file_size":143,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":29,"language":144,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":145,"faqs":146,"seo_title":147,"seo_description":67,"update_tm":148,"read_time":149,"preview_page_count":4},7971461741311,"https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826","Data Bricks Training Course Content  \nCourse Duration - 45-50 Hrs. , 7-8 Weeks  \nCourse Information  \nBatch Options  \nWeekday Batch  \nMon – Sat – 1.5 Hr./Day  \nAbout the Trainer  \nIndustry Expert Trainer with 15+ Years Real Time Work Experience at Top US Based Product and Consulting Firms  \nContact Us  \nMobile: +91 73960 33555  \nWhatsapp: +91 73960 33555  \nMail: [Prasad@unogeeks.com](Prasad@unogeeks.com)  \nWebsite: [Unogeeks.com](Unogeeks.com)  \nIntroduction To Data Bricks Training  \nIntroduction To Data Bricks Training  \nAzure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.  \nWhat you’ll learn  \n➢ Azure Databricks, Databricks utilities, Spark Architecture, Spark RDDs  \n➢ Read and Write Data, DataFrames in Azure Databricks, DataFrames Columns  \n➢ DataFrames Advanced Methods -Aggregation, Date Time, Complex types, Additional functions  \n➢ Building and Querying a Data Lake, Process the Streaming Data, User-defined functions  \n➢ Process the Streaming Data with the Azure Databricks structured streaming  \n➢ Delta Lake Architecture, Create production workloads on Azure Databricks with Data factory  \n➢ Implementing the CI/CD with the Azure DevOps Exam  \n➢ Help you with Azure Databricks Certification Prep, Mock Interviews and Job Assistance  \nCourse Content  \nModule 1: Introduction to Databricks  \n➢ What is Azure Databricks?  \n➢ Why Azure Databricks?  \n➢ How does Azure Databricks work?  \n➢ Databricks utilities  \n➢ How to integrate Azure Databricks with Azure Blob Storage?  \nModule 2: Spark Architecture Basics  \n➢ Overview of Spark Architecture  \n➢ The architecture of Azure Databricks spark cluster  \n➢ The architecture of Spark Job  \nModule 3: Spark RDDs  \n➢ What is an RDD?  \n➢ How to create an RDD?  \n➢ Datasets in Spark  \nModule 4: Read and Write Data in the Azure Databricks  \n➢ Read Data in CSV and JSON Format  \n➢ Read Data in the Parquet Format  \n➢ Read Data stored in views and tables  \n➢ Write the data  \nModule 5: DataFrames in Azure Databricks  \n➢ DataFrames and SparkSQL  \n➢ How to create DataFrames?  \n➢ SparkSQL data types  \n➢ Data sources  \n➢ DataFrame Reader & Writer  \n➢ Schemas  \n➢ Performance  \n➢ DataFrame columns and expressions  \n➢ DataFrame actions  \n• DataFrame rows  \nModule 6: DataFrames Columns in Azure Databricks  \n➢ Column Class  \n➢ Working with the Column Expressions  \n*****DataFrames Advanced Methods in Azure Databricks*****  \nModule 7: Aggregation  \n➢ GroupBy  \n➢ Grouped data methods  \n➢ Aggregate functions  \n➢ Math functions  \nModule 8: DateTime  \n➢ Dates and timestamps  \n➢ DateTime patterns  \n➢ DateTime functions  \nModule 9: Complex types  \n➢ String functions  \n➢ Collection functions  \nModule 10: Additional functions  \n➢ Non-aggregate functions  \n➢ Na Functions  \nModule 11 : User-defined functions  \nModule 12: Platform Architecture, Data protection in the Azure Databricks  \n➢ Azure Databricks platform architecture  \n➢ Perform data protection  \n➢ Security Scope of Azure Key Vault and Databricks  \n➢ Secure Access with the Azure Authentication and IAM  \n➢ Explain Security  \nModule 13: Building and Querying a Data Lake  \n➢ Open-Source Delta Lake  \n➢ How Azure Databricks manages Delta Lake  \nModule 14: Process the Streaming Data with the Azure Databricks structured streaming  \n➢ Azure Databricks structured streaming  \n➢ Performing the Stream Processing through the structured streaming  \n➢ Working with the Time Windows  \n➢ Process the data from the Event Hubs with the structured streaming  \nModule 15: Delta Lake Architecture  \n➢ Bronze, Gold, and Silver Architecture  \n➢ Performing the Batch and stream processing  \nModule 16: Creating the production workloads on Azure Databricks with the Azure Data factory  \n➢ Scheduling the Databricks jobs in the data factory pipeline  \n➢ Passing the Parameters in and out of the Databricks jobs in the data factory  \nModule 17: Implementing the CI/CD with the Azure DevOps  \n➢ What is CI/CD  \n➢ Cr","cbCaiaxiqUNSCHkV","https://ap.wps.com/l/cbCaiaxiqUNSCHkV","pdf",130244,"English","# Course Information\n## Batch Options\n## About the Trainer\n## Introduction To Data Bricks Training\n## What you’ll learn\n# Course Content\n## Module 1: Introduction to Databricks\n## Module 2: Spark Architecture Basics\n## Module 3: Spark RDDs\n## Module 4: Read and Write Data in the Azure Databricks\n## Module 5: DataFrames in Azure Databricks\n## Module 6: DataFrames Columns in Azure Databricks\n## Module 7: Aggregation\n## Module 8: DateTime\n## Module 9: Complex types\n## Module 10: Additional functions\n## Module 11: User-defined functions\n## Module 12: Platform Architecture, Data protection in the Azure Databricks\n## Module 13: Building and Querying a Data Lake\n## Module 14: Process the Streaming Data with the Azure Databricks structured streaming\n## Module 15: Delta Lake Architecture\n## Module 16: Creating production workloads with Azure Data factory\n## Module 17: Implementing the CI/CD with the Azure DevOps\n## Module 18: Integrate with Azure Synapse\n## Module 19: Project Work – Build components\n## Module 20: Certification Guidance\n## Module 21: Resume, Interview and Job Assistance","[{\"question\":\"How long is the Databricks certification training course and what batch options are offered?\",\"answer\":\"The course duration is 45–50 hours over 7–8 weeks. A weekday batch runs Monday to Saturday with 1.5 hours per day.\"},{\"question\":\"What are the core technical topics taught in the course?\",\"answer\":\"It covers Azure Databricks and utilities, Spark architecture, Spark RDDs, reading/writing data (CSV/JSON/Parquet), DataFrames and SparkSQL, advanced DataFrame methods (aggregation, date-time, complex types, additional functions), and user-defined functions.\"},{\"question\":\"Does the course include streaming, Delta Lake, and production workload integration?\",\"answer\":\"Yes. It includes structured streaming concepts and time windows, processing Event Hubs data, Delta Lake architecture, and creating production workloads using Azure Data Factory pipelines with scheduling and parameter passing.\"},{\"question\":\"What support is provided for certification, interviews, and job preparation?\",\"answer\":\"The course provides Azure Databricks certification guidance, important exam questions, preparation steps, crisp resume preparation, common interview question discussion, mock interviews, and job assistance.\"}]","Data Bricks Training Course Content - Exam Preparation | PDF",1790361264,15]