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Modern Data Lakes and Warehouses with Google Cloud

Learn to build and manage data lakes and warehouses on Google Cloud, focusing on data pipeline development and cloud-based data engineering solutions.

Learn to build and manage data lakes and warehouses on Google Cloud, focusing on data pipeline development and cloud-based data engineering solutions.

This comprehensive course explores the fundamentals of data lakes and data warehouses in Google Cloud. Students will learn to differentiate between these storage types and understand their specific use cases. The course covers essential concepts for data engineers, including Cloud Storage for data lakes and BigQuery for warehousing. Participants will gain practical knowledge about building efficient data pipelines, understanding the role of data engineering in business operations, and leveraging cloud environments for optimal data management. The course emphasizes hands-on experience with Google Cloud tools while teaching best practices for modern data architecture.

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Modern Data Lakes and Warehouses with Google Cloud

This course includes

1 Week

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

5,695

Audit For Free

What you'll learn

  • Differentiate between data lakes and data warehouses and their specific use cases

  • Implement data lake solutions using Google Cloud Storage

  • Deploy data warehouse solutions using BigQuery

  • Understand the role of data engineering in business operations

  • Design effective data pipelines in cloud environments

  • Apply best practices for modern data architecture and management

Skills you'll gain

Data Engineering
Data Lakes
Data Warehouses
Google Cloud
BigQuery
Cloud Storage
ETL
Data Pipeline
SQL
Python

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This course provides a comprehensive introduction to modern data storage solutions on Google Cloud Platform. Students learn the fundamental differences between data lakes and data warehouses, their specific use cases, and how to implement them effectively. The curriculum covers Cloud Storage for data lakes and BigQuery for data warehousing, along with best practices for data pipeline development. The course emphasizes practical applications in business operations and explores why cloud-based data engineering is becoming increasingly important.

Introduction

Module 1

Introduction to Data Engineering

Module 2

Building a Data Lake

Module 3

Building a Data Warehouse

Module 4

Summary

Module 5

Fee Structure

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,729 Courses

Empowering Businesses with Expert Training from Google Cloud

The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.

Modern Data Lakes and Warehouses with Google Cloud

This course includes

1 Week

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

5,695

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.