Description
Data Engineering Essentials Hands-on – SQL, Python, and Spark is a project-oriented data engineering training course with SQL, Python, and PySpark framework published by Yodemi Academy. At the end of this training course, you will be able to create a data pipeline for processing and storing information and perform engineering and data analysis projects alone with the trained techniques and technologies.
Data engineering is the process of filtering, storing, and processing various data based on the needs and goals of a particular project or research. Data engineering is a general concept and includes many sub-disciplines. At the beginning of this training course, you will get acquainted with the principles and basics of Python and SQL programming languages, and after solving the exercises and projects in this section, you will refer to the next and more advanced topics.
What you will learn in the Data Engineering Essentials Hands-on course – SQL, Python, and Spark:
- Construction of Data Pipeline with SQL
- Postgres database management system
- Initial installation of the database and performing simple operations on information such as adding, deleting, updating, and…
- Write simple SQL queries and requests
- Filter, integrate, and compress data with SQL
- Creating indexes and tables in a database environment with DDL commands and commands
- Partitioning and categorizing information in the database
- Predefined functions in SQL such as manipulating string values and…
- Write complex and specific SQL queries with Postgresql
- Principles of Python Programming
- Implement and perform simple operations in the database with the Python programming language
- Conditional commands and loops in Python
- List and set in Python
- Data types and data types in Python programming
- Map and Reduce Libraries in Python
- Pandas Library
- Initial installation of data engineering application development environment
- Types of Spark data frame APIs such as select, filter, groupBy, orderBy, and…
- Use different files and formats such as Parquet, JSON, CSV, and… to build data transmissions
See Also:
Udemy – Complete Machine Learning & Data Science with Python | AZ 2021
Udemy – Complete Blazor (WASM & Server) and ASP.NET API Development 2021
Udemy – The Complete Python Masterclass: Build 15 Python Projects 2021
Udemy – The Complete 2022 Software Testing Bootcamp 2021
Udemy – Master Go (Golang) Programming: The Complete Go Bootcamp 2021
Course specifications
Publisher: Udemi
Instructor: Durga Viswanatha Raju Gadiraju
Language: English
Level: Average
Number of Courses: 638
Duration: 57 hours and 22 minutes
Course topics on 2022/2
Prerequisites for Data Engineering Essentials Hands-on – SQL, Python, and Spark
Laptop with decent configuration (Minimum 4 GB RAM and Dual-Core)
Sign up for GCP with the available credit or AWS Access
Setup self-support lab on cloud platforms (you might have to pay the applicable cloud fee unless you have credit)
CS or IT degree or prior IT experience is highly desired
Course pictures
Installation guide
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English subtitle
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