Overview
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
Outline
Introduction to Data Engineering
This module discusses the role of data engineering and motivates the claim why data engineering should be done in the Cloud
- Module introduction
- The role of a data engineer
- Data engineering challenges
- Introduction to BigQuery
- Data lakes and data warehouses
- Transactional databases versus data warehouses
- Partner effectively with other data teams
- Manage data access and governance
- Demo: Finding PII in your dataset with the DLP API
- Build production-ready pipelines
- Google Cloud customer case study
- Lab Intro: Using BigQuery to do Analysis
- LAB: Using BigQuery to do Analysis: In this lab, you analyze 2 different public datasets, run queries on them, separately and then combined, to derive interesting insights.
- QUIZ
Building a Data Lake
In this module, we describe what data lake is and how to use Cloud Storage as your data lake on Google Cloud.
- Module Introduction
- Introduction to data lakes
- Data storage and ETL options on Google Cloud
- Build a data lake using Cloud Storage
- Secure Cloud Storage
- Store all sorts of data types
- Cloud SQL as a relational data lake
- Lab Intro: Loading Taxi Data into Google Cloud SQL
- LAB: Loading Taxi Data into Google Cloud SQL 2.5:In this lab you will import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.
- QUIZ
Building a Data Warehouse
In this module, we talk about BigQuery as a data warehousing option on Google Cloud
- Module Introduction
- The modern data warehouse
- Introduction to BigQuery
- Demo: Querying TB of data in seconds
- Get started with BigQuery
- Load data into BigQuery
- Lab Intro: Loading Data into BigQuery
- LAB: Loading data into BigQuery: This lab focuses on how to ingest data into tables inside of BigQuery.
- Explore schemas
- Demo: Exploring Schemas
- Schema design
- Nested and repeated fields
- Demo: Nested and repeated fields
- Design the optimal schema for BigQuery
- Lab Intro: Working with JSON and Array data in BigQuery
- LAB: Working with JSON and Array data in BigQuery 2.5: In this lab you will work with semi-structured data (ingesting JSON, Array data types) inside of BigQuery. You will practice loading, querying, troubleshooting, and unnesting various semi-structured datasets.
- Optimize with partitioning and clustering
- Lab Intro: Partitioned Tables in BigQuery
- LAB: Partitioned Tables in Google BigQuery:This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.
- Review
- QUIZ
Frequently asked questions
How can I create an account on myQA.com?
There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.
If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".
If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.
Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
How do QA’s virtual classroom courses work?
Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.
We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting (more details in the link below) to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.
How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
When will I receive my joining instructions?
Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.
When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.