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via Udemy |
Go to Course: https://www.udemy.com/course/2023-databricks-etl-data-engineer-from-beginner-to-expert/
The Coursera course on Data Engineering with a focus on ETL processes offers a comprehensive and practical pathway into one of the most in-demand roles in today’s tech industry. Covering everything from setting up cloud environments to executing real-world open banking projects, this course is ideal for those seeking to quickly enhance their skills and boost their earning potential in the field of data engineering. **Course Overview and Content** Spanning six sections and approximately five hours of high-quality content, the course is designed to be both accessible and in-depth. It begins by outlining the key capabilities you'll gain, including continuous learning resources. The subsequent modules guide you through setting up Azure Databricks and Cosmos DB, which are essential tools in modern data engineering workflows. One of the most valuable aspects of this course is the hands-on experience it offers in initiating an ETL project from scratch—transforming business requirements into technical solutions. The course emphasizes practical skills such as data extraction, transformation, implementing efficient change detection mechanisms, and troubleshooting performance issues related to stability and speed. The inclusion of real open banking project scenarios enhances real-world applicability and prepares you for technical interviews, aligning your skills with those of top-earning data engineers. **Who Should Take This Course?** - Aspiring data engineers looking for a short-term, high-impact training to transition into a lucrative role. - Current data professionals seeking to sharpen their ETL skills, reduce operational costs, and improve system reliability. - Anyone interested in mastering cloud-based data engineering tools like Azure Databricks and Cosmos DB. **Strengths and Recommendations** This course stands out for its practical approach, emphasizing real project experience and the use of powerful frameworks and scripts that can be customized to your projects. It also introduces effective testing strategies using ISTQB standards, adding an extra layer of professionalism and quality assurance to your skillset. For learners aiming to enter or advance in the field of data engineering, this course provides the critical skills needed for higher-paying roles, long-term contracts, and less stressful workflows. If you're committed to learning quickly and gaining hands-on experience with real open banking projects, this course is a worthwhile investment. **Final Verdict** Highly recommended for anyone eager to jumpstart or elevate their data engineering career. With its clear focus, practical content, and alignment with industry standards, it equips you not only with technical skills but also with confidence to tackle complex ETL challenges and excel in interviews. Plus, with the option to explore additional courses on automated testing, you can further broaden your expertise in this rapidly evolving field.
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