DataEng Uncomplicated
This channel is dedicated to data integration topics, tools, and features to make working with your data easier.
My name is Adriano and I have over 10 years of experience working in tech with data. I am AWS Certified with the AWS Certified data analytics - specialty and solution architect- associate. I have had various roles in data-centric positions over the years being a data engineer, leading a team of data engineers, and being a cloud solution architect. I am currently a full-time data & analytics consultant helping customers build modern data platforms. I'm passionate about Data Engineering and want to share some of that in the form of tutorials to help data engineers and aspiring data engineers.
Topics that will be covered in this channel include data engineering with Amazon Web Services, infrastructure as code, data integration tools such as FME, working with geospatial data, and databases.
If you want to join me on this data journey, please consider subscribing!
AWS Glue 5.0 Announced: What's New and Why You Should Upgrade
Overview of AWS Generative AI Services To Chat With Your Data
Deploying a Glue Job to AWS with Terraform: A Step-by-Step Tutorial
Develop AWS Glue Jobs Locally Using Visual Studio Code and Docker on Windows - step by step
Mastering AWS Glue Unit Testing for PySpark Jobs with Pytest
Why Data Engineers Should Develop AWS Glue Jobs Locally
Develop AWS Glue Jobs Locally Using PyCharm and Docker on Windows - step by step
Query Redshift Table with SQL in Python | AWS SDK for Pandas
AWS Glue PySpark: Upserting Records into a Redshift Table
Upsert Records To Amazon Redshift - AWS SDK for Pandas
Add Column To Redshift Table - With SQL
AWS re:Invent 2022 Swami Sivasubramanian Keynote Summary of New Features & Services
AWS Glue PySpark:Insert records into Amazon Redshift Table
AWS re:Invent 2022 Adam Selipsky Keynote Summary for Data & Analytics (New Features & Services)
Add Redshift Data Source In AWS Glue Catalog
AWS Glue PySpark: Change Column Data Types
AWS Glue PySpark: Calculate Fields
AWS Glue PySpark: Unpivot Columns To Rows
AWS Glue PySpark: Flatten Nested Schema (JSON)
AWS Glue PySpark: Drop Fields
AWS Glue PySpark: Rename Fields
AWS Glue PySpark: Filter Data in a DynamicFrame
AWS Glue: Write Parquet With Partitions to AWS S3
AWS Glue: Read CSV Files From AWS S3 Without Glue Catalog
AWS Glue: Flex Jobs (New Feature Release)
Practical Projects to Learn Data Engineering On AWS
Организуйте работу с клеем с помощью пошаговых функций
AWS Glue Job Import Libraries Explained (And Why We Need Them)
Comparing JSON In AWS Lambda With Deltajson
Author AWS Glue jobs with PyCharm Using AWS Glue Interactive Sessions