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Modern Data Lakes and Warehouses with Google Cloud
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Modern Data Lakes and Warehouses with Google Cloud

This course is part of Google Cloud Data Engineer Learning Path.

Course Cost

₹ 6,030

Beginner

Skill Level

1 Week

Self-paced lessons

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.

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

Shareable certificate

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

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

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Google Cloud Data Engineer Learning Path

Payment options

Financial Aid

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Modern Data Lakes and Warehouses with Google Cloud

Beginner

Skill Level

1 Week

Self-paced lessons

Course Cost

₹ 6,030

Completion

CERTIFICATE

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.