Achieving Advanced Insights with BigQuery

What's inside

Syllabus

Introduction

Présentation des points abordés dans ce cours

Fonctions et clauses avancées

Approfondissez vos connaissances sur SQL dans BigQuery en apprenant des fonctions plus avancées, telles que les fonctions d'approximation statistique, les requêtes de fenêtrage analytique, les fonctions définies par l'utilisateur et les clauses WITH.

Conception de schémas et structures de données imbriquées

Découvrez comment les bases de données traditionnelles ont évolué pour s'adapter aux volumes des ensembles de données, et comparez cela avec la manière dont BigQuery a été conçu pour faire face aux limitations de scaling. Examinez en détail les champs imbriqués et répétés, qui sont des composants essentiels des structures de données BigQuery dénormalisées.

Optimiser les performances

Découvrez les opérations de base ayant un impact sur les performances de BigQuery et les moyens d'optimiser les requêtes pour qu'elles s'exécutent plus rapidement.

Insights avancés avec Vertex AI Workbench

Découvrez Vertex AI Workbench, un outil essentiel du kit pour les data scientists, qui favorise la collaboration entre analystes grâce à des notebooks cloud évolutifs.

Accès aux données

Toute organisation se doit d'assurer la sécurité des ensembles de données BigQuery et d'en faciliter le partage. Découvrez les outils Google Cloud et BigQuery mis à votre disposition pour gérer les autorisations et partager vos données.

Résumé du cours

Synthèse des points essentiels abordés durant le cours

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Ce cours s'appuie sur une base solide de SQL et explore les fonctions avancées, les schémas de données imbriqués et l'optimisation des performances, ce qui est standard dans l'industrie des données

Explore les fonctions avancées de SQL dans BigQuery, ce qui est utile pour les analystes de données qui souhaitent approfondir leurs connaissances SQL

Fournit des connaissances approfondies sur la conception et la structure des schémas de données imbriqués dans BigQuery, ce qui est essentiel pour gérer efficacement les ensembles de données volumineux

Enseigne les techniques d'optimisation des performances, aidant les apprenants à améliorer l'efficacité de leurs requêtes BigQuery, ce qui est crucial pour travailler avec de grands ensembles de données

Introduit Vertex AI Workbench, un outil collaboratif pour les data scientists, offrant des avantages pour les équipes travaillant sur des projets d'analyse de données

Fournit des moyens de gérer les autorisations et de partager des données dans BigQuery, ce qui est essentiel pour sécuriser et collaborer sur des ensembles de données sensibles

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Achieving Advanced Insights with BigQuery - Français with these activities:

Mentor junior SQL learners

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Solidify your knowledge by mentoring others and helping them grasp SQL concepts.

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Offer guidance and support to students or colleagues who are learning SQL
Review their SQL code and provide constructive feedback
Share your knowledge and experience in SQL community forums or events

Create SQL code snippets or tutorials

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Share your SQL knowledge and reinforce your own understanding by creating and publishing content.

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Write blog posts or articles on advanced SQL topics
Create and upload video tutorials on SQL functions and clauses
Contribute to open-source SQL projects or documentation

Review SQL basics

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Reinforce your SQL knowledge to prepare for the advanced SQL concepts covered in this course.

Browse courses on SQL

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Review SQL SELECT statements and clauses
Practice writing SQL queries to extract data from sample databases
Test your understanding by solving SQL coding challenges

Five other activities

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Participate in SQL study groups

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Engage with peers to discuss SQL concepts, solve problems, and share knowledge.

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Join online or in-person SQL study groups
Collaborate on SQL coding challenges and projects
Seek feedback and guidance from experienced SQL practitioners

Explore BigQuery architecture and data structures

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Gain a deeper understanding of BigQuery's architecture and data structures to optimize your query performance.

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Follow tutorials on BigQuery's columnar storage and data partitioning
Learn about nested and repeated fields, and how to query them effectively
Explore best practices for schema design and data modeling in BigQuery

Practice SQL functions and clauses

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Strengthen your understanding of advanced SQL functions and clauses through repetitive exercises.

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Work through guided tutorials on advanced SQL functions
Solve practice problems involving window functions, analytic functions, and user-defined functions
Participate in online SQL challenges or coding competitions

Volunteer for a data-driven organization

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Gain practical experience and apply your SQL skills in a real-world setting.

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Identify organizations that use data extensively and offer volunteer opportunities
Participate in data analysis projects or SQL-related tasks
Work with experienced data professionals and learn from their expertise

Build a SQL-based data visualization dashboard

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Apply your SQL skills to create an interactive dashboard that visualizes insights from your data.

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Choose a dataset and design a dashboard that meets specific business requirements
Write SQL queries to extract and transform data for visualization
Use a data visualization tool to create interactive charts and graphs

Career center

Learners who complete Achieving Advanced Insights with BigQuery - Français will develop knowledge and skills that may be useful to these careers:

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. They work in a variety of industries, including finance, insurance, and healthcare. The course covers advanced SQL functions including statistical approximation, windowing analytics, and user-defined functions. This may be helpful to someone who wants to become a Quantitative Analyst as it will help build a foundation in statistical analysis and modeling.

See salaries and explore the career path for Quantitative Analyst

Data Scientist

Data Scientists analyze data and provide data-driven solutions to business problems. Using machine learning algorithms and statistical modeling, they build predictive models, analyze data, and propose solutions. The course covers advanced SQL functions including statistical approximation, windowing analytics, and user-defined functions. This may be helpful for someone who wants to become a Data Scientist as it will help build a foundation in data analysis and modeling.

See salaries and explore the career path for Data Scientist

Risk Analyst

Risk Analysts use data to identify and assess risks. They work in a variety of industries, including finance, insurance, and healthcare. The course covers advanced SQL functions including statistical approximation, windowing analytics, and user-defined functions. This may be helpful to someone who wants to become a Risk Analyst as it will help build a foundation in data analysis and modeling.

See salaries and explore the career path for Risk Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve problems in a variety of industries, including transportation, manufacturing, and healthcare. The course covers advanced SQL functions including statistical approximation, windowing analytics, and user-defined functions. This may be helpful to someone who wants to become an Operations Research Analyst as it will help build a foundation in statistical analysis and modeling.

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Statistician

Statisticians collect, analyze, and interpret data. They use statistical methods to understand the world around us and make predictions. The course covers advanced SQL functions including statistical approximation, windowing analytics, and user-defined functions. This may be helpful to someone who wants to become a Statistician as it will help build a foundation in statistical analysis.

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Data Architect

Data Architects are responsible for the design and management of data systems. They work with stakeholders to understand data requirements, design data models, and implement data solutions. The course covers advanced SQL functions including statistical approximation, windowing analytics, and user-defined functions. This may be helpful to someone who wants to become a Data Architect as it will help build a foundation in data modeling and analysis.

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Actuary

Actuaries use mathematical and statistical models to assess risk and uncertainty. They work in a variety of industries, including insurance, finance, and healthcare. The course covers advanced SQL functions including statistical approximation, windowing analytics, and user-defined functions. This may be helpful to someone who wants to become an Actuary as it will help build a foundation in statistical analysis and modeling.

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Data Visualization Analyst

Data Visualization Analysts use data visualization tools to transform data into visual formats. They help businesses understand their data and make better decisions. The course teaches advanced SQL functions like statistical approximation, windowing analytics, and user-defined functions. This may be helpful to someone who wants to become a Data Visualization Analyst as it will help build a foundation in data analysis and modeling.

See salaries and explore the career path for Data Visualization Analyst

Business Analyst

Business Analysts help businesses understand their data and make better decisions. The course covers advanced SQL functions including statistical approximation, windowing analytics, and user-defined functions. This may be helpful for someone who wants to become a Business Analyst as it builds a foundation in data analysis and increases their effectiveness in helping businesses understand their data.

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Financial Analyst

Financial Analysts use financial data to make investment recommendations. They work with clients to understand their financial goals and develop investment strategies. The course covers advanced SQL functions including statistical approximation, windowing analytics, and user-defined functions. This may be helpful to someone who wants to become a Financial Analyst as it will help build a foundation in data analysis and modeling.

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Data Engineer

Data Engineers are responsible for building and maintaining data pipelines. They wrangle data from disparate sources, prepare it for analysis, and ensure its quality. The course's focus on optimizing performance and handling complex data structures may be helpful to someone who wants to become a Data Engineer. Learning to maximize query performance is an important skill for a Data Engineer working with BigQuery.

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Database Architect

Database Architects design, build, and maintain database systems. They require comprehensive understanding of data modeling, database management systems, and SQL. The course teaches advanced SQL functions like statistical approximation, windowing analytics, and user-defined functions. This may be helpful to someone looking to become a Database Architect as it builds a foundation in handling complex data structures and optimizing performance.

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Software Engineer

Software Engineers design, develop, and maintain software systems. They work with stakeholders to understand requirements, design software solutions, and implement and test software. The course covers advanced SQL functions including statistical approximation, windowing analytics, and user-defined functions. This may be helpful to someone who wants to become a Software Engineer as it will help build a foundation in data analysis and modeling.

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Machine Learning Engineer

Machine Learning Engineers apply machine learning algorithms to data to automate tasks and improve processes. They design, build, and evaluate machine learning models using statistical modeling, data analysis, and programming. The course's focus on building a foundation in SQL may be helpful to someone who wants to become a Machine Learning Engineer. Developing an understanding of data structures and query optimization can help fuel effective model development.

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Data Analyst

Data Analysts are tasked with extracting meaning out of data using statistical analysis, modeling, and visualization. They make descriptive and predictive models to help businesses make informed decisions. The course "Achieving Advanced Insights with BigQuery" may be useful to Data Analysts wanting to enrich their SQL knowledge and develop capabilities in optimizing query performance. This course also covers data security and access which are essential to a career as a Data Analyst.

See salaries and explore the career path for Data Analyst