К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Transform and Validate Real-Time Data Fast · LearnSpace
Назад в каталог
courseraАнализ данных

Transform and Validate Real-Time Data Fast

Курс от Coursera
Средний≈ 5.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Imagine you’re tasked with solving a complex challenge that demands both strategic thinking and hands-on expertise. How do you approach it confidently? In this course, you will be guided through essential concepts and practical applications, empowering you to tackle real-world problems effectively. This course equips you with in-depth knowledge, interactive exercises, and actionable skills designed for immediate impact in your field. By the end of this course, you will have developed a robust understanding of key principles, gained experience with proven strategies, and be prepared to implement solutions in dynamic environments. Learners should be familiar with basic Python, SQL, basic PySpark, data engineering fundamentals, streaming concepts, and data quality awareness. This course is designed for intermediate data engineers, analytics engineers, and BI professionals who want to build reliable real-time data pipelines with automated quality checks and executive-ready dashboards using Microsoft Fabric, PySpark, and Power BI. By the end of this course, you'll be ready to apply what you’ve learned to drive results and adapt to evolving challenges with confidence.

Навыки, которые вы освоите

Data ValidationData QualityPySparkData TransformationPower BIData ProcessingReal Time DataData PipelinesPerformance TuningBusiness IntelligenceData IntegrityCI/CDDashboard CreationData IntegrationLive StreamingData GovernanceDashboard

Программа курса

3 модулей · 25 учебных материалов

01Data Transformation8 материалов
Flatten or Fail: Cleaning the Clickstream DIALOGUEWelcome to the Course: Transform and Validate Real-Time Data FastЧтениеWelcome to the CourseВидеоIntroduction to Real-Time DataВидео

Учитесь у экспертов

Tom Themeles

Educator & course developer | Keynote speaker | Advocate for data and AI literacy

Transform and Validate Real-Time Data Fast
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 5.7 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

Часть программы вашего университета
Parsing and Exploding Nested JSONВидео
Pivoting for AnalyticsВидео
Hands-On-Learning: Transform Data into Analytics-Ready TablesВзаимная проверка
Real Time Intelligence in Microsoft FabricЧтение
02Automated Quality & Governance7 материалов
The Merge That Shouldn’t Have HappenedDIALOGUEBenefits of Using PySparkВидеоIntegration of Deequ in CI/CD WorkflowВидеоAutomating Data Quality Checks with CI/CD in Microsoft FabricВидеоOptimizing for CI/CD in Microsoft FabricЧтениеBlocking Low-Quality MergesВидеоHands-On-Learning: Automate Data Quality Validation with PySpark and CI/CD IntegrationВзаимная проверка
03Real-Time Analytics Integration10 материалов
The Dashboard Dilemma: Freshness vs. PerformanceDIALOGUEConnecting Power BI to FabricВидеоBuilding Interactive DashboardsВидеоIncremental Refresh and Real-Time Data for Semantic ModelsЧтениеOptimizing Real-Time PerformanceВидеоOptimizing Power BI for Clickstream AnalyticsВидеоHands-On-Learning: Design and Optimize a Real-Time Dashboard in Power BIВзаимная проверкаCourse Wrap-up Video ВидеоProject: End-to-End Real-Time Data Engineering PipelineВзаимная проверкаTransform and Validate Real-Time Data FastЗадание