BigQuery for Big data engineers - Master Big Query Internals

🌟 [Updated 2024] - Dive into a comprehensive deep-dive guide on Google BigQuery tailored for Data Engineers and Analysts. This isn't your run-of-the-mill course; it's a masterclass designed to equip you with the expertise required to navigate and leverage BigQuery effectively within the Google Cloud Platform (GCP) ecosystem. 📊

Note: Adept in SQL or PostgreSQL? That's not a prerequisite for this course! Our focus is solely on providing you with an in-depth understanding of BigQuery's concepts, internals, and real-time applications.

Course Overview

BigQuery is Google's fully managed, serverless data warehouse that allows you to analyze massive amounts of data quickly. It's built for high scalability, cost efficiency, and ease of use on GCP. In this course, we'll take a journey through the core concepts of BigQuery, starting from the basics and progressing all the way to advanced real-time implementation strategies.

What's Covered in This Course?

✅ Introduction to Google Cloud Services: A brief overview of the suite of services offered by GCP to set the stage for your BigQuery learning journey.

✅ In-Depth BigQuery Concepts: From scratch to advanced, every concept is thoroughly explained with hands-on examples, ensuring you understand each aspect before moving on to more complex topics.

✅ Every Detail Explained: We leave no stone unturned; from the basics of dataset creation to intricate details like table structures and querying mechanisms.

✅ Interacting with BigQuery: Master the use of BigQuery's Web Console, Bq CLI (Command-Line Interface), and Python Client Library for seamless integration and management.

✅ Hands-On Project Work: Get hands-on experience in creating, loading, modifying, and managing BigQuery Datasets, Tables, Views, Materialized Views, etc.

✅ Exclusive Content: Deep dive into the nitty-gritty of Query Execution Plans, Efficient schema design, Optimization techniques, Partitioning, Clustering, and more!

✅ Real-World Application: Build and deploy data pipelines in Real-Time case studies using services like Dataflow, Apache Beam, Pub/Sub, BigQuery, Cloud Storage, Data Studio, and Cloud Composer (Airflow).

✅ Best Practices & Optimization Techniques: Learn the best practices and optimization techniques to apply in your Real-Time Google Cloud BigQuery projects.

Course Features

• 🤖 Rapid Support: Your questions and queries will be answered swiftly, ensuring you never hit a roadblock.

• 📄 Lecture Resources: All the datasets and queries used in lectures are attached for your convenience, allowing you to follow along and practice.

• 🚀 Continuous Updates: The course content is frequently updated with new components of BigQuery to keep you at the forefront of technology.

Why Choose This Course?

After completing this course, you will be fully equipped to tackle any BigQuery project with confidence. You'll gain a solid understanding of how to work with Big Data on GCP and walk away with the skills needed to optimize your queries and datasets for better performance and efficiency.

Enroll now and take the first step towards becoming a proficient BigQuery engineer and analyst! 🚀💻

Join us in this journey to master BigQuery on Google Cloud Platform and transform the way you handle big data.