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Google BigQuery for Data and ML Engineers

Google BigQuery for Data and ML Engineers

位教师：Pearson

包含在 Coursera Plus 中

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1个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

1个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Master BigQuery’s serverless architecture, data warehousing, and advanced SQL to efficiently manage and analyze large datasets.
Learn to build, evaluate, and deploy machine learning models directly within BigQuery, covering essential techniques.
Explore the cutting-edge applications of generative AI in BigQuery.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有1个模块

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.

This module provides a comprehensive overview of BigQuery for data engineering and machine learning. It covers BigQuery’s architecture, data ingestion (batch and streaming), data quality checks, and data exploration using SQL, Python, and Spark. The module then explores machine learning workflows, including classification, regression, and time series modeling directly in BigQuery. It concludes with practical applications of generative AI and text processing in BigQuery, featuring hands-on labs throughout to reinforce learning.

涵盖的内容

34个视频8个作业

34个视频总计262分钟

Introduction1分钟
Topics0分钟
Serverless, Multi-function Data Platform12分钟
Architecture of BigQuery20分钟
Data Engineering and Machine Learning in BigQuery8分钟
Topics0分钟
Batch Data Ingestion12分钟
Lab Assignment: Batch Data Ingestion5分钟
Streaming Ingestion21分钟
Lab Assignment: Ingest Streaming Data7分钟
Topics0分钟
SQL for Data Quality Checks13分钟
Lab Assignment: Data Quality Checks10分钟
DataFrames for Data Exploration13分钟
Lab Assignment: Data Exploration3分钟
Cloud Dataproc Spark and BigQuery8分钟
Topics0分钟
Introduction to Machine Learning12分钟
Machine Learning Workflow10分钟
Topics0分钟
Building and Evaluating a Classification Model13分钟
Lab Assignment: Build a Classification Model13分钟
Building and Evaluating a Regression Model9分钟
Lab Assignment: Build a Regression Model5分钟
Topics0分钟
Introduction to Time Series Modeling5分钟
Building Time Series Model in SQL10分钟
Lab Building a Time Series Model in SQL5分钟
Topics0分钟
Generative AI Services in Google Cloud5分钟
Introduction to Generative AI in BigQuery7分钟
Lab Using Generative AI tools in BigQuery5分钟
Working with Text in BigQuery15分钟
Google BigQuery for Data and ML Engineers: Summary0分钟

8个作业总计100分钟

BigQuery for Data Engineering and Machine Learning Engineering Quiz10分钟
Data Ingestion in BigQuery Quiz10分钟
Data Qualtiy and Data Exploration Quiz10分钟
Machine Learning with BigQuery Quiz10分钟
Building Classification and Regression Models in BigQuery Quiz10分钟
Building a Time Series Predictive Model Quiz10分钟
Using Generative AI with BigQuery Quiz10分钟
End of Course Assessment30分钟

位教师

Pearson

268 门课程9,454 名学生

提供方

Pearson

从 Machine Learning 浏览更多内容

状态：预览
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Using BigQuery Machine Learning for inference
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Working with BigQuery
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无限制访问 10,000+ 世界一流的课程、实践项目和就业就绪证书课程 - 所有这些都包含在您的订阅中

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常见问题

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.