Intro Data Engineering Part 2:  Data Drive Organizations episode artwork

EPISODE · Jan 3, 2024 · 19 MIN

Intro Data Engineering Part 2: Data Drive Organizations

from 52 Weeks of Cloud · host Pragmatic AI Labs

Hey readers 👋, if you enjoyed this content, I wanted to share some of my favorite resources to continue your learning journey in technology!Hands-On Courses for Rust, Data, Cloud, AI and LLMs 🚀Rust Programming Specialization:  https://www.coursera.org/specializations/rust-programmingRust for DevOps:  https://www.coursera.org/learn/rust-for-devops?specialization=rust-programmingRust LLMOps:   https://www.coursera.org/learn/rust-llmops?specialization=rust-programmingRust Fundamentals: https://www.coursera.org/learn/rust-fundamentalsData Engineering with Rust: https://www.coursera.org/programs/duke-university-on-coursera-obsio/learn/data-engineering-rustPython and Rust with Linux Command Line Tools: https://www.coursera.org/learn/python-rust-linuxVirtualization, Docker, and Kubernetes for Data Engineering: https://www.coursera.org/learn/virtualization-docker-kubernetes-data-engineeringCloud Machine Learning Engineering and MLOps: https://www.coursera.org/learn/cloud-machine-learning-engineering-mlops-dukeMLOps Tools: MLflow and Hugging Face: https://www.coursera.org/learn/mlops-mlflow-huggingface-dukeData Visualization with Python: https://www.coursera.org/learn/data-visualization-pythonLinux and Bash for Data Engineering: https://www.coursera.org/learn/linux-and-bash-for-data-engineering-dukeSpark, Hadoop, and Snowflake for Data Engineering: https://www.coursera.org/learn/spark-hadoop-snowflake-data-engineeringCloud Virtualization, Containers and APIs: https://www.coursera.org/learn/cloud-virtualization-containers-api-dukeCloud Data Engineering: https://www.coursera.org/learn/cloud-data-engineering-dukePython Essentials for MLOps: https://www.coursera.org/learn/python-mlops-dukeDevOps, DataOps, MLOps: https://www.coursera.org/learn/devops-dataops-mlops-dukeWeb Applications and Command-Line Tools for Data Engineering: https://www.coursera.org/learn/web-app-command-line-tools-for-data-engineering-dukeMLOps Platforms: Amazon SageMaker and Azure ML: https://www.coursera.org/learn/mlops-aws-azure-dukeScripting with Python and SQL for Data Engineering: https://www.coursera.org/learn/scripting-with-python-sql-for-data-engineering-dukePython and Pandas for Data Engineering: https://www.coursera.org/learn/python-and-pandas-for-data-engineering-dukeCloud Computing Foundations: https://www.coursera.org/learn/cloud-computing-foundations-duke📚 Must-Read Books:Practical MLOps: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017Python for DevOps: https://www.amazon.com/gp/product/B082P97LDW/Developing on AWS with C#: https://www.amazon.com/Developing-AWS-Comprehensive-Solutions-Platform/dp/1492095877Pragmatic AI Labs Books: https://www.amazon.com/gp/product/B0992BN7W8🎥 Follow & Subscribe:Pragmatic AI Labs YouTube Channel: https://www.youtube.com/channel/UCNDfiL0D1LUeKWAkRE1xO5Q52 Weeks of AWS Podcast: https://52-weeks-of-cloud.simplecast.comnoahgift.com: https://noahgift.com/Pragmatic AI Labs Website: https://paiml.com/Your adventure in tech awaits! Dive in now, and elevate your skills to new heights. 🚀 🔥 Hot Course Offers:🤖 Master GenAI Engineering - Build Production AI Systems🦀 Learn Professional Rust - Industry-Grade Development📊 AWS AI & Analytics - Scale Your ML in Cloud⚡ Production GenAI on AWS - Deploy at Enterprise Scale🛠️ Rust DevOps Mastery - Automate Everything🚀 Level Up Your Career:💼 Production ML Program - Complete MLOps & Cloud Mastery🎯 Start Learning Now - Fast-Track Your ML Career🏢 Trusted by Fortune 500 TeamsLearn end-to-end ML engineering from industry veterans at PAIML.COM

Episode metadata supplied by the publisher feed · Published Jan 3, 2024

Embed this episode

Get an in-depth look at the key concepts covered in the AWS Academy's Data Engineering module. We'll analyze: Comparing data analytics vs AI/ML pipelines Layers of a data pipeline: ingestion, storage, processing, analysis Actions on data: cleaning, transformation, etc. Data engineer vs data scientist roles Building and modernizing data infrastructure Unifying data sources and governance Innovation with cloud services and pre-trained AI Useful for anyone going through the AWS Academy program or wanting a primer on data engineering foundations. We explain the module objectives in detail and connect the core ideas that data-driven organizations need to leverage.

Distinct summary based on available episode metadata or transcript content.

NOW PLAYING

Intro Data Engineering Part 2: Data Drive Organizations

0:00 19:14

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of 52 Weeks of Cloud?

This episode is 19 minutes long.

When was this 52 Weeks of Cloud episode published?

This episode was published on January 3, 2024.

Can I download this 52 Weeks of Cloud episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!