Data Engineering with AWS (training)

Colleagues, the Data Engineering with AWS provides you with a foundation for the new world of Big Data. Enroll now to build production-ready data infrastructure, an essential skill for advancing your data career  Training modules with hands-on projects include: 1) Data Modeling - learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra (Projects: Data Modeling with Postgres and Data Modeling with Apache Cassandra), 2) Cloud Data Warehouses -sharpen your data warehousing skills and deepen your understanding of data infrastructure. Create cloud-based data warehouses on Amazon Web Services (AWS) (Project: Build a Cloud Data Warehouse), 3) Spark and Data Lakes - understand the big data ecosystem and how to use Spark to work with massive datasets. Store big data in a data lake and query it with Spark (Project: Build a Data Lake), 4) Data Pipelines with Airflow - schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production (Project: Data Pipelines with Airflow), and 5) Capstone Project - combine what you've learned throughout the program to build your own data engineering portfolio project (Project: Data Engineering Capstone).

Enroll today (teams & execs welcome): https://tinyurl.com/53hkud56 

Download your free Data Science and AI-ML-DL - Career Transformation Guides.

Recommended Reading: 

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)