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Курс от Pearson
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Google BigQuery for Data and ML Engineers
Курс от PearsonО курсе
Learn how to use Google BigQuery to enhance your data engineering and machine learning skills in this practical, instructor-led course. Taught by experienced cloud architect and author Dan Sullivan, you’ll work with BigQuery’s serverless architecture, advanced SQL, and data warehousing features to efficiently manage and analyze large datasets. This course is suitable for both beginners and those with experience. You’ll get hands-on practice with data ingestion, transformation, and building reliable data pipelines. The curriculum covers how to create, evaluate, and deploy machine learning models within BigQuery, as well as recent generative AI applications. Through real-world projects and clear instruction, you’ll build the skills needed to use BigQuery in your day-to-day work. Whether you’re new to the field or looking to expand your knowledge, this course offers practical tools and techniques for data engineering and machine learning.
Навыки, которые вы освоите
Data QualityGenerative AIMachine LearningData ProcessingData WarehousingApplied Machine LearningData IntegrationBig DataData ManipulationExploratory Data AnalysisGoogle Cloud PlatformApache SparkMachine Learning MethodsData Import/ExportData ValidationSQLModel EvaluationTime Series Analysis and ForecastingServerless ComputingData Pipelines
Программа курса
1 модулей · 42 учебных материалов
01Google BigQuery for Data and ML Engineers42 материалов
BigQuery for Data Engineering and Machine Learning Engineering
IntroductionВидеоTopicsВидеоServerless, Multi-function Data PlatformВидеоArchitecture of BigQueryВидеоData Engineering and Machine Learning in BigQueryУчитесь у экспертов
Pearson
Преподаватель курса
Dan Sullivan
Data Architect, Author, and Instructor