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via Udemy |
Go to Course: https://www.udemy.com/course/practical-google-bigquery-for-those-who-already-know-sql/
Certainly! Here's a comprehensive review and recommendation for the Coursera course "Practical Google BigQuery" tailored for professionals who already have some SQL experience: --- **Course Review: Practical Google BigQuery** If you're a Data Scientist, Data Engineer, Business Intelligence specialist, or Developer who is new to Google BigQuery or wants to deepen your understanding, this course is an excellent choice. Designed specifically for those who already know SQL but are unfamiliar with BigQuery’s unique capabilities, it provides a targeted and practical approach to mastering this powerful cloud data warehouse. **What Makes This Course Stand Out?** - **Deepin Understanding:** Instead of generic SQL tutorials, this course delves into how BigQuery works internally, including its data storage, query execution, and the cost structure. This knowledge is crucial for optimizing performance and controlling expenses. - **Hands-On Learning:** The course emphasizes practical skills, such as connecting BigQuery to Google Sheets, accessing BigQuery from Python, and creating advanced tables with partitioning, clustering, and retention policies. - **Efficiency Tips:** Learn advanced SQL editor shortcuts, hidden features, and ways to streamline your workflow—saving you time and effort. - **Cost Optimization:** A dedicated module on understanding BigQuery's pricing model and monitoring individual query costs helps ensure your projects are financially sustainable. - **Extended Functionalities:** Explore additional features like Google Transfers, data recovery with SYSTEM TIME, and how to back up your SQL code to safeguard your work. - **Supplementary Resources:** The inclusion of code snippets, cheat sheets, slides, and SQL examples enhances the learning experience and allows for easy reference. **Who Should Take This Course?** - Data Professionals who want to maximize BigQuery’s features without wading through endless documentation. - Teams seeking a faster, cost-effective way to analyze large datasets with SQL. - Developers interested in programmatically accessing BigQuery data via Python. - Anyone aiming to elevate their data analysis and engineering skills with the latest cloud-based tools. **Pros:** - Practical, hands-on approach tailored for SQL users - Focus on understanding internals and optimization - Useful resources and real-world examples - Suitable for professionals serious about leveraging BigQuery efficiently **Cons:** - Assumes prior knowledge of SQL; beginners might find it insufficient without foundational SQL skills - The course is focused on BigQuery’s features, so it might not cover basic SQL topics --- **Final Recommendation:** If you are already comfortable with SQL and want to accelerate your expertise in BigQuery—especially from a performance, cost, and operational perspective—this course is highly recommended. It is a well-structured, hands-on course designed to transform your approach to BigQuery from a basic user to a power user. Given the increasing prominence of BigQuery in the data analytics landscape, investing in this course can significantly boost your career prospects and your organization’s data capabilities. --- **Would you like me to help you find similar courses or resources to complement this training?**
Practical Google BigQuery for those who already know SQL ...is made for Data Scientists, Data Engineers, Business Intelligence specialist and Developers that:- don't know how BigQuery works and why it's such a game changer,- don't like spending hours browsing through documentation to do things right,- worry that their queries will be slow and expensive,- don't need yet another course that explains types of JOINs in SQL.If you fit the description, this course will help you understand deeply how BigQuery works, what are all its funky functionalities and how to make this powerful tool work for you.Over the entire course you will:learn how to access Google Sheets over BigQuery,understand BigQuery resources hierarchy - datasets, tables, views,make use of SQL editor shortcuts (also hidden ones!) like a pro,understand BigQuery additional functionalities like google transfers, learn how to access BigQuery from python client,understand how BigQuery works under the hood - how it stores data and performs queries, learn how BigQuery pricing works, and how to optimize query costs,create table with all advanced options - applying partitioning, clustering and retention policy,setup monitoring of costs of each query in BigQuery,learn how to recover deleted data in BigQuery using SYSTEM TIME,backup your view's SQL code.Except of the course videos you will get code snippets, SQL code of the examples, cheetsheets and slides.Google BigQuery is revolutionizing data analysis world right now and this course is made to boost career of anyone that dare to use this amazing product!