2023 Databricks ETL Data Engineer From Beginner to Expert

2023 Databricks ETL Data Engineer From Beginner to Expert, available at $39.99, has an average rating of 4.3, with 34 lectures, based on 15 reviews, and has 112 subscribers.

You will learn about 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 This course is ideal for individuals who are Graduates who want to get a job as data engineer or data tester or Data engineers who wan to sharpen their skills or Test Analysts or developers who want to switch to data engineering It is particularly useful for Graduates who want to get a job as data engineer or data tester or Data engineers who wan to sharpen their skills or Test Analysts or developers who want to switch to data engineering.

Enroll now: 2023 Databricks ETL Data Engineer From Beginner to Expert

Summary

Title: 2023 Databricks ETL Data Engineer From Beginner to Expert

Price: $39.99

Average Rating: 4.3

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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 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:Data Extraction and Transformation

Implement 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 Ingestion

Resolve 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

Course Curriculum

Chapter 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

Chapter 2: Azure databricks and Cosmos DB setup

Lecture 1: Azure Databricks Setup

Lecture 2: Azure Cosmos DB Setup

Lecture 3: Connect Cosmos DB From Databricks

Lecture 4: Insert Data Into Cosmos DB

Chapter 3: ETL Project Initialization

Lecture 1: Go Through Business Requirement

Lecture 2: Analyze Legacy Data Tables

Lecture 3: Identify Technical Requirement

Lecture 4: High Level Design

Lecture 5: Load Sample Data Into Delta Tables

Chapter 4: ETL and Testing Business Goal and Test Strategy

Lecture 1: Defined Test Strategy

Lecture 2: Static Testing

Lecture 3: Plan Shift Left Automation Test Approach

Chapter 5: Data Extraction and Transformation

Lecture 1: Extract Data From Source System

Lecture 2: Add Prefix For Table Dataframe

Lecture 3: Transform Data Part 1

Lecture 4: Transform Data Part 2

Lecture 5: Add Validation Hash

Lecture 6: Sort Records

Lecture 7: Refactor Code

Chapter 6: Resolve complex issues as an expert during data ingestion

Lecture 1: Get New Records To Be Loaded

Lecture 2: Get Modified Records

Lecture 3: Get Records To Be Deleted

Lecture 4: Resolve Stability Issue

Lecture 5: Resolve Performance Issue

Lecture 6: Understand Table Paths

Lecture 7: Delete Sample Data

Lecture 8: Ingest Data To Cosmos

Lecture 9: Dynamically Update Cosmos Clone Table

Lecture 10: Enhance Reliablity

Instructors

Billy Zhang
Udemy Instructor, AIQA Cloud Automation Platform Founder

Rating Distribution

1 stars: 2 votes

2 stars: 0 votes

3 stars: 1 votes

4 stars: 2 votes

5 stars: 10 votes

Frequently Asked Questions

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