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Wednesday, March 27, 2024

Data Engineering with AWS (training)

Colleagues, the Data Engineering with AWS is program is the 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)


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