- Welcome to This Course
- How To Get Maximum Value From This Course
- Course Structure & Coverage
- Technology In This Course
Online
₹ 649 3,499
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
BigQuery, a data warehouse product from Google, allows its users to store and search through terabytes or even petabytes of data without having to set up or maintain any infrastructure. Timotius Pamungkas, a software architect and Java software engineer, developed the Data Engineering with Google BigQuery & Google Cloud certification course, which is made available by Udemy to students who are interested in learning data engineering skills and knowledge to become qualified software engineers, data analysts, and data engineers.
Data Engineering with Google BigQuery & Google Cloud online training is a self-paced program that involves more than 6.5 hours of video-based lectures supported by 2 articles that aim to help the students gain the knowledge to understand how the Google cloud platform could integrate into the larger data and application architecture. With Data Engineering with Google BigQuery & Google Cloud online course, students will also be taught about topics like data sheets, data cleaning, data loading, data visualization, data preparation, data studio, file databases, and more.
The highlights
- Certificate of completion
- Self-paced course
- 6.5 hours of pre-recorded video content
- 2 articles
- Learning resources
Program offerings
- Online course
- Learning resources
- 30-day money-back guarantee
- Unlimited access
- Accessible on mobile devices and tv
Course and certificate fees
Fees information
certificate availability
certificate providing authority
What you will learn
After completing the Data Engineering with Google BigQuery & Google Cloud online certification, students will gather a comprehensive understanding of the functionalities of the Google Cloud Platform (GPC) and Google Bigquery for data engineering operations. In this data engineering course, students will explore the functionalities associated with data studio, data sheets, data flow, file databases, APIs, message broker, and Bigquery view for data engineering and data warehousing activities. In this data engineering certification, students will learn about strategies for data preparation, data cleaning, data loading, and data visualization.
The syllabus
Introduction
Introducing Data Warehouse & BigQuery
- Data Warehouse
- Start With BigQuery
- BigQuery Web User Interface
First Exploration
- First Data
- Basic Exploration
- Functions
- Common Data Types
- Different Query?
- Exploring Common Data Types
- Converting Data Types
Data Flow Basic
- Data Quality
- Clean & Transform
- Store Data
- Upgrading From Sandbox Account
- Clean & Transform With Dataprep
- Scheduled Query
- Analyze Data
- Data Visualization
Diving Into BigQuery
- Essential BigQuery
- Load Data Into BigQuery (Part 1) - The Basic
- Tip : Mock Data
- Load Data Into BigQuery (Part 2) - Handling Errors
- Load Data Into BigQuery (Part 3) - Efficient Load
- Load Data Into BigQuery (Part 4) - From Your Data to BigQuery
- Load Data Into BigQuery (Part 5) - In Microservice Architecture
- Tip : Message Broker Overview
- Load Data Into BigQuery (Part 6) - Recurring Load
Virtual Data using View
- BigQuery View
Data Visualization
- What We Will Learn
- Google Sheets & BigQuery
- Google Data Studio
Intermediate Query
- Using Join - Theory
- Using Join - Hands On
- Union & Intersect
- Basic Statistical Functions
Resource & Reference
- Resource & Reference for The Course (Scripts, Links, etc)
- Bonus & Other Courses
Instructors
Mr Timotius Pamungkas
Java Software Engineer, Architect
Freelancer