2023 Databricks ETL Automation Testing Complete Guide

Hot Open Banking ETL Testing Project on The Current Market Inside Out

What you'll learn
Get the ready-to-use, practical and powerful big data testing framework and the ISTQB recognized testing capabilities
Get the similar expertise with the front-line data test engineers who earn $200, 000+ yearly
Get the capability of resolving complex ETL testing issues like stability or performance issues, as an expert
Enjoy more free time saved by the ready-to-use automation testing frameworks and tools
Harden your irreplaceability with advanced ETL and ISTQB recognized testing capabilities ​ ​
Get real open banking ETL testing project experience from scratch and shift-left test approach practice
Maximize your opportunities of switching to data engineers or tester with lots of hands on training
Requirements
Intermidate level of Programming languages, like Python and SQL
Basic level of SQL and NoSQL databases
Basic concepts for Cloud, Data Warehouse, testing
Description
Are you thinking of getting higher income for a long time with a short training period? Then, you come to the right place. As you know AI and big data are the driving forces behind Industry 4.0. Data engineer is high-paid role. As the shortage of data engineers continues and the demand for skilled data engineer is soaring. Switching to data testing engineer is one of the best options for your career, which can get higher pay, long-term contracts and less pressure. By joining this course, you will know how the front-line data engineers execute ETL testing with real open banking project from the scratch, get the ready-to-use, practical and powerful ETL testing framework and the ISTQB testing strategy. So, it will be highly possible to pass your job interview because you really have the similar capabilities with data testing engineers who earn $200, 000+ yearly and be able to resolve complex ETL testing issues on your own after this course.
If you are already a data testing engineer, this course will sharpen your ETL skills. This course can free yourself via saving huge amount of computing time and cost during ETL testing process. More importantly, you will get the capabilities of resolving complex issues in terms of performance, stability and reliability. You will enjoy more free time and leave the hard work to the ETL testing framework and scripts.
With 41 lectures and about 6.5 hours of high-quality content, you will learn the following topics in depth:
Section #1
: Values We Can Bring to You
You will understand what valuable capabilities you can take away after this course and extra free live resources you can keep learning.
Section #2
: Azure Databricks and Cosmos DB Setup
You are able to set up Azure Databricks, Cosmos DB and connect them on your own.
Section #3
: ETL Project Initialization
Get real commercial open banking project experience from scratch including grabbing business requirement, Coverting it to technical requirement, designing the solution and implementing it.
Section #4
: ETL and Testing Business Goal and Test Strategy
Identify business goals we are going to achieve and adopt right test strategies and plan static testing and shift-left testing approach.
Section #5
: Automaton Test Framework and Solution
Create the automation test framework and implement it with customized test solution. The whole solution will be supported by multiple layers: business logic layer, data quality checking layer, presentation layer, data access layer, etc. Customized, dedicated and ready-to-use functionality has been provided for each layer. They can be reused by you directly or called by third party program. It supports DevOps as well.
Section #6
: Automation Test Solution Practice
Automate the open banking project with the customized test framework and resolve complex ETL testing issues in terms of performance, stability and reliability, etc. as an expert.
Section #7
: Test Summary Report Enhancement and Test Management
Improve and customize the test summary report and organize test cases properly and make them be easy for maintenance and requirement traceability.
Section #8
: Data Quality Checking and Code Refractory
Add the functionality to check data quality for various data types like dateTime, enumeration, regex, etc. Do code refractory to make our code neat and tidy.
Who this course is for:
Anyone without database testing experience but wants to switch to data engineering
Experienced data engineer who wants to improve automation testing experience


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