Rust for Data Engineering

Focused View

Noah Gift

7:43:35

18 View

01 - 1. Getting Started with the Modern Rust Development Ecosystem

01 - Meet the instructor and course overview.mp4

07:44

02 - Introduction to the AI coding paradigm shift.mp4

03:05

03 - Introduction to cloud-based development environments.mp4

11:24

04 - Introduction to GitHub Copilot ecosystem for Rust.mp4

09:13

05 - Prompt engineering with GCP BigQuery SQL.mp4

09:20

06 - Introduction to AWS CodeWhisperer for Rust.mp4

07:47

07 - Using Google Bard to enhance productivity.mp4

06:07

08 - Continuous integration with Rust and GitHub actions.mp4

07:52

02 - 2. Rust Sequences and Maps

01 - Introducing Rust sequences and maps.mp4

02:26

02 - Demo Print Rust data structures.mp4

02:26

03 - Demo Vector fruit salad.mp4

03:25

04 - Demo VecDeque fruit salad.mp4

02:38

05 - Demo LinkedIn list fruit salad.mp4

01:35

06 - Demo Fruit salad CLI.mp4

03:52

07 - Demo HashMap frequency counter.mp4

03:03

08 - HashMap language comparison.mp4

02:45

03 - 3. Rust Sets, Graphs, and Miscellaneous Data Structures

01 - Analyzing UFC fighter network using graph centrality in Rust.mp4

04:12

02 - Storing unique fruits using HashSet in Rust.mp4

03:18

03 - Maintaining sorted and unique fruits using BTreeSet in Rust.mp4

02:35

04 - Creating a fig-priority fruit salad using BinaryHeap in Rust.mp4

02:42

05 - PageRank algorithm for sports data.mp4

04:12

06 - Showing shortest path with Dijkstra.mp4

03:27

07 - Detecting strongly connected components A deep dive into Kosarajus algorithm.mp4

04:14

08 - Simple charting of data structures in Rust.mp4

02:26

04 - 4. Rust Safety and Security Features

01 - Multifactor authentication.mp4

02:01

02 - Network segmentation.mp4

02:30

03 - Least privilege access.mp4

02:21

04 - Encryption.mp4

01:59

05 - Mutable fruit salad.mp4

03:39

06 - Customize fruit salad with a CLI.mp4

07:04

07 - Data race example.mp4

03:29

05 - 5. Security Programming with Rust

01 - High availability.mp4

03:07

02 - Understanding the Homophonic cipher A cryptographic technique.mp4

04:15

03 - Decoding the secrets of the Caesar cipher.mp4

03:07

04 - Building a Caesar cipher command-line interface.mp4

04:51

05 - Creating a decoder ring A practical guide.mp4

05:57

06 - Detecting duplicates with SHA-3 A data integrity tool.mp4

05:05

07 - Incident response.mp4

02:16

08 - Compliance.mp4

02:22

06 - 6. Concurrency with Rust

01 - Core concepts in concurrency.mp4

04:36

02 - Dining philosophers.mp4

05:36

03 - Web crawl Wikipedia with Rayon.mp4

03:34

04 - Intelligent chatbot with Tokio.mp4

04:36

05 - Multi-threaded deduplication with Rust.mp4

08:57

06 - Energy efficiency Python vs. Rust.mp4

05:37

07 - Concurrency stress test with a GPU.mp4

07:33

08 - Host efficiency serverless optimization problem.mp4

03:55

07 - 7. Using Rust to Manage Data, Files, and Network Storage

01 - Process CSV files in Rust.mp4

03:30

02 - Using Cargo Lambda with Rust.mp4

04:08

03 - List files on AWS EFS with Rust.mp4

07:54

04 - Use AWS S3 storage.mp4

04:56

05 - Use AWS S3 storage from Rust.mp4

05:19

06 - Write encrypted data to tables or Parquet files.mp4

02:10

08 - 8. DataFrames with Rust, Python, and Notebooks

01 - What is Colab.mp4

05:48

02 - Using Bard to enhance notebook development.mp4

06:07

03 - Exploring life expectancy in a notebook.mp4

06:53

04 - Load a DataFrame with sensitive data.mp4

01:36

05 - Using MLFlow with Databricks Notebooks.mp4

05:26

06 - End to End ML with MLFlow and Databricks.mp4

04:03

07 - Exploring global life expectancy with Polars.mp4

04:38

09 - 9. Using Rust with Cloud SDKs and CLIs for Data Engineering

01 - Cloud developer workspace advantage.mp4

04:10

02 - Onboarding to GCP with Python and Rust.mp4

08:05

03 - Using GCP Cloud Shell with Rust.mp4

04:16

04 - Learn AWS CloudShell.mp4

12:01

05 - Prototyping AI APIs with AWS CloudShell.mp4

12:39

06 - Cloud9 with CodeWhisperer.mp4

09:17

07 - Demo GCP App Engine Rust Deploy.mp4

05:15

08 - Containerized Rust Actix Microservice on AWS.mp4

08:52

10 - 10. Getting Started with Rust Data Pipelines (Including ETL)

01 - Jack and the Beanstalk data pipelines.mp4

03:07

02 - Open source data engineering Pros and cons.mp4

05:17

03 - Core components of data engineering pipelines.mp4

03:06

04 - Rust AWS step functions pipeline.mp4

06:54

05 - Rust AWS Lambda Async S3 size calculator.mp4

04:57

06 - What is Distroless.mp4

02:34

07 - Demo Deploying Rust microservices on GCP.mp4

06:57

11 - 11. Using Rust and Python for LLMs, ONNX, Hugging Face, and PyTorch Pipelines

01 - Introduction to Hugging Face Hub.mp4

05:09

02 - Rust PyTorch pre-trained model ecosystem.mp4

03:39

03 - Rust GPU Hugging Face translator.mp4

06:14

04 - Rust PyTorch high-performance options.mp4

07:52

05 - EFS ONNX Rust inference with AWS Lambda.mp4

09:38

06 - Theory behind model fine-tuning.mp4

02:54

07 - Doing fine-tuning.mp4

08:09

12 - 12. Building SQL Solutions with Rust, Generative AI, and Cloud

01 - Selecting the correct database on GCP.mp4

03:46

02 - Rust SQLite Hugging Face zero-shot classification.mp4

09:55

03 - Prompt engineering for BigQuery.mp4

09:20

04 - BigQuery to Colab pipeline.mp4

05:32

05 - Exploring data with BigQuery.mp4

12:36

06 - Using public data sets for data science.mp4

01:44

07 - Querying log files with BigQuery.mp4

03:49

08 - There is no one-size database.mp4

01:44

09 - Course conclusion.mp4

01:24

Description

In this course, learn how to use Rust to build high-performance data pipelines that you can use in data engineering, ML Ops, and traditional software engineering. Rust provides safety, speed, and low-level control for systems programming, and instructor Noah Gift illustrates these aspects in the four sections of this course. Noah starts off looking at the key features of Rust, including HashMaps and vectors. He then takes a look at safety, security, and concurrency with Rust. In the third section, Noah covers popular Rust data engineering libraries and tools, and finishes the course with a look at designing data processing systems in Rust.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Data Science

Rust

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

Linkedin Learning

View courses Linkedin Learning

LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.