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SQL & BigQuery Advanced

Improve your skills

Deepen your SQL skills with this advanced training course on BigQuery. Optimise the performance and cost of your queries while improving your data manipulation and cleansing techniques.

SQL & BigQuery Advanced

4455€
Paris and remote
7 h
Next session

On request

Louis Rousselot

Software Engineer
@louis-rousselot
Louis is an expert in SQL and BigQuery, with several years' experience in data analysis for large companies. He will guide you through the key concepts and best practices so that you can become autonomous in exploiting your data.

Course description

This intensive one-day course is designed for users with a basic understanding of SQL and BigQuery who want to take their skills to the next level. You will learn advanced techniques for joins, aggregation and query optimisation to maximise performance and minimise costs.

Objectives

On completion of this course, you will be able to :

Develop your mastery of SQL applied to BigQuery

Improve your data handling and cleansing skills

Optimise the performance and profitability of your SQL queries

Public

This course is designed for a group of 15 participants, ideal for professionals with basic knowledge of SQL who want to deepen their expertise in BigQuery.

Prerequisites

A recent computer (less than 5 years old). An active Google account.

Evaluation

Program

SQL & BigQuery Advanced

Key concepts of SQL and BigQuery

Various data aggregation methods such as GROUP BY and window functions

Calculate moving averages, lagged values, rankings and other business KPIs using the window functions

Using CASE WHEN for data filtering

Management of NULL values and NORMALIZE function for normalising character strings

Using regexes and string functions for pattern matching

Simplify data cleansing with BigQuery's user-defined functions

Using the PARSE_DATE and PARSE_DATETIME functions to analyse dates

Formatting dates with FORMAT_DATE and FORMAT_DATETIME

Extraction of date components using the EXTRACT function

Calculation of the time difference between dates and common operators for filtering on dates

Understanding the basics of pricing in BigQuery

Reduce the amount of data queried with the EXCEPT instruction

Configuration of billing limits per request and quotas per project/user

Optimising queries with partitioned and clustered tables

Judicious use of views and materialized views, CTE and sub-queries

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FAQ

Do you have any other questions about Artefact School of Data? We'd love to hear from you.

What is the training format?

You choose the format! Training can be face-to-face, distance learning or hybrid! Everything is designed so that you can follow the course from our classroom or from home, as you wish. We've made this choice to optimise your learning during the course.

What support is there to help you find a job?

Every day, our students have the opportunity to work alongside Artefact employeesone of the leaders in Data. This means that every day, they meet Data Scientists, Analysts and Engineers who make up their professional network and increase their chances of securing a future position with Artefact or with a partner.

Who are the teachers?

Your teachers are Data Scientists, Analysts or Senior Engineers by trade. This is very important to us, because they work at the very heart of one of the leaders in Data: Artefact. This means that the tutors are in daily contact with Artefact customers and are responding to real, topical issues in the field. Our training courses are therefore designed around what they experience on a daily basis.

How do I apply for the course?

The registration process is very simple: you apply directly for a course, explaining your choice and describing your career path. You can also download our full programme and then make an appointment with us.