Data engineering is based on designing and building pipelines that help in transforming and transporting the data in a highly usable format. The data is taken from disparate sources and collected in a single warehouse where the data is represented uniformly as a single source of truth. The role requires data literacy skills.
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It takes 5 months to complete the nano-degree program. Considered the best course for data engineers. A student will be able to learn to design data models, build data warehouses, get data lakes, automate data pipelines, and will get to work with massive datasets. During the end, course, completion students get a hands-on experience and will be able to work on real-world projects.
Udacity offers 5 courses and each of them has separate 1-2 projects. The projects need to be submitted after completion and reviewed by the graders.
The course is known to have a practical approach and the method is implemented by oneself. In the due process, the understanding gets better.
The courses it includes are- Data Modeling, Cloud Data Warehouses, Spark and Data Lakes, Automate Data Pipelines, and Capstone Project. Students will get a chance to work with industry experts on real-world projects and will also get technical mentor support.
Students having intermediate-level knowledge of Python & SQL can enroll.
It provides complete guidance and a step-by-step path to a career in data engineering. The course is ideal for beginners, intermediate, and advanced data engineers.
Based on the experience one can start learning and enhance the skill set. Students will be able to communicate with peers and share ideas and doubts. The course is accessible on any device throughout the day and night.
Datacamp offers a career track where students learn how to build an effective data architecture, streamline data processing, and ability to maintain large-scale data systems.
Students will get to learn python and Shell, SQL, and Scala to create the data engineering pipelines. They will develop the ability to automate the file system tasks and build a strong database.
There are 25 courses offered and students will be able to master critical database, scripting, and process skills.
Those students who have previous knowledge of Python and SQL must enroll. For more writing click here
Big Data and Hadoop Essentials offered by Udemy is a free course. It is essential for understanding the big data basics like the history of Hadoop, major players and vendors (Cloudera, MapR, and Hortonworks) of Hadoop, Hadoop Magic, and the difference between Data science and data engineering. It helps in understanding the fundamentals well.
This is a beginner-level course for those who want to understand the fundamentals of Big Data and Hadoop.
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