Creating New BigQuery Datasets and Visualizing Insights
- 4.6
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Course Summary
This course teaches you how to create BigQuery datasets and visualize insights using Google Cloud Platform. It covers topics such as data ingestion, data modeling, and data visualization.Key Learning Points
- Learn how to create BigQuery datasets and tables
- Understand data ingestion and data modeling
- Visualize insights with Data Studio
Related Topics for further study
Learning Outcomes
- Create BigQuery datasets and tables
- Understand data modeling and ingestion
- Visualize insights with Data Studio
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of SQL
- Familiarity with Google Cloud Platform
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Data Warehousing for Business Intelligence
- Data Visualization with Tableau
- Big Data Essentials: HDFS, MapReduce and Spark RDD
Related Education Paths
- Google Cloud Certified - Professional Data Engineer
- Google Cloud Certified - Associate Cloud Engineer
Related Books
Description
This is the second course in the Data to Insights specialization. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Google Data Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources.
Outline
- Introduction
- Course Introduction
- Qwiklabs Introduction
- Recap of Google Analytics ecommerce dataset
- Storing and Exporting Data
- Creating Permanent Tables
- Demo: Importing JSON Data
- Temporary Tables and Query Results
- Performance Preview: Query Cache
- Creating Logical Views
- Lab Overview
- Lab Solution
- Module Quiz
- Ingesting New Datasets into Google BigQuery
- Ingesting New Data into BigQuery
- Demo: Loading Data into BigQuery
- Lab Intro
- Lab Solution
- Background: Partitioned Tables
- Module Quiz
- Joining and Merging Datasets
- Introducing JOINs and UNIONs
- Introducing BigQuery Table Wildcards for Easy Merges
- SQL JOIN Syntax
- Walkthrough: SQL Join Types
- Avoiding Pitfalls when Merging Datasets
- Ecommerce Dataset Recap
- Lab Intro
- Lab Solution
- Module Quiz
- Data Visualization
- Overview of Data Visualization principles
- Comparing Good and Bad Visualizations
- Dimensions, Measures, and Reports
- Introducing Google Data Studio
- Demo: Data Studio Walkthrough
- Lab Intro
- Lab Solution
- Building a Monitoring Dashboard
- Module Quiz
- End of Course Recap
- End of Course Recap
Summary of User Reviews
This course on creating BigQuery datasets and visualizing insights on Coursera has received positive reviews from users. Many users found the course to be comprehensive and informative.Key Aspect Users Liked About This Course
The course provides a thorough understanding of BigQuery datasets and their visualization.Pros from User Reviews
- Comprehensive and informative course
- Great explanations and practical examples
- Hands-on approach to learning
- Good pace and structure
- Useful for both beginners and advanced learners
Cons from User Reviews
- Some users found the course to be too basic
- Could have included more advanced topics
- Lack of support from the instructor
- The course could be more engaging and interactive
- Not enough emphasis on real-world applications
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Creating New BigQuery Datasets and Visualizing Insights 日本語版
- 0.0
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これは、Data to Insights 専門講座の 2 番目のコースです。ここでは、新しい外部データセットを BigQuery に取り込み、Google データポータルで可視化する方法について説明します。また、複数テーブルの JOIN と UNION など、中級者向けの SQL の概念についても説明します。JOIN や UNION を使用すると、複数のデータソースのデータを分析できます。 注: すでに SQL に関する知識をお持ちの方も、BigQuery に固有の要素（クエリ キャッシュやテーブル ワイルドカードの処理など）について学ぶことができます。...
