2023 Databricks Etl Data Engineer From Beginner To Expert | Download Free

What you'll learn
Get the similar expertise with the front-line data engineers who earn $200, 000+ yearly
Get the capability of resloving complex ETL issues like stablity or performance issues, as an expert
Enjoy more free time saved by the ready-to-use automation frameworks and tools
Harden your irreplaceability with advanced ETL capablity and test strategy
Get real open banking ETL project expereince from scracth
Maximize your opportunities of switching to data engineer
Requirements
Basic 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 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 with real open banking project from the scratch, get the ready-to-use, practical and powerful ETL 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 engineers who earn $200, 000+ yearly and be able to resolve complex ETL issues on your own after this course.If you are already a data engineer, this course will sharpen your ETL skills. This course can free yourself via saving huge amount of computing time and cost during ETL 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 framework and scripts.With 6 sections and about 5 hours of high-quality content, you will learn the following topics in depth:Section #1: Values We Can Bring to YouYou 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 SetupYou are able to set up Azure Databricks, Cosmos DB and connect them on your own. Section #3: ETL Project InitializationGet 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 StrategyIdentify business goals we are going to achieve and adopt right test strategies and plan static testing and shift-left testing approach.Section #5: Data Extraction and TransformationImplement data extraction and transformation functionalities and create a smart mechanism to detect if data is modified with lower cost in terms of time and efficiency.Section #6: Stable and Speedy Data IngestionResolve complex ETL issues in terms of performance, stability and reliability, etc. as an expert and get the powerful framework and scripts and customize them and apply to your own projects. Last but not least:Enjoy this course and don't forget to check out my other courses if you want to learn how to test the project with ISTQB recognized automation testing framework:2023 Databricks ETL Testing Services Complete Guide
Overview
Section 1: Values We Can Bring To You
Lecture 1 What You Can Get From This Course
Lecture 2 ETL And Testing Process
Lecture 3 Tool Set For ETL
Lecture 4 More Resources For Learning Tools
Lecture 5 Prerequisite For ETL
Section 2: Azure databricks and Cosmos DB setup
Lecture 6 Azure Databricks Setup
Lecture 7 Azure Cosmos DB Setup
Lecture 8 Connect Cosmos DB From Databricks
Lecture 9 Insert Data Into Cosmos DB
Section 3: ETL Project Initialization
Lecture 10 Go Through Business Requirement
Lecture 11 Analyze Legacy Data Tables
Lecture 12 Identify Technical Requirement
Lecture 13 High Level Design
Lecture 14 Load Sample Data Into Delta Tables
Section 4: ETL and Testing Business Goal and Test Strategy
Lecture 15 Defined Test Strategy
Lecture 16 Static Testing
Lecture 17 Plan Shift Left Automation Test Approach
Section 5: Data Extraction and Transformation
Lecture 0 Extract Data From Source System
Lecture 18 Add Prefix For Table Dataframe
Lecture 19 Transform Data Part 1
Lecture 20 Transform Data Part 2
Lecture 21 Add Validation Hash
Lecture 22 Sort Records
Lecture 23 Refactor Code
Section 6: Resolve complex issues as an expert during data ingestion
Lecture 24 Get New Records To Be Loaded
Lecture 25 Get Modified Records
Lecture 26 Get Records To Be Deleted
Lecture 27 Resolve Stability Issue
Lecture 28 Resolve Performance Issue
Lecture 29 Understand Table Paths
Lecture 30 Delete Sample Data
Lecture 31 Ingest Data To Cosmos
Lecture 32 Dynamically Update Cosmos Clone Table
Lecture 33 Enhance Reliablity
Graduates who want to get a job as data engineer or data tester,Data engineers who wan to sharpen their skills,Test Analysts or developers who want to switch to data engineering


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