tiredoftools's repositories
awesome-data-engineering
A curated list of data engineering tools for software developers
awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
build-your-own-x
🤓 Build your own (insert technology here)
coderust-free
Free alternatives to Coderust lessons.
data-engineering-academy
wizeline academy data engineering course
data_engineering_spark_project
Scraping glassdoor and sending processed output to postgres via Spark.
gitignore
A collection of useful .gitignore templates
Insight-Data-Engineering-Coding-Challenge
Coding Challenge for my Application to the Insight Data Engineering Fellowship
insight_project
Data Engineering Consulting Project
java-algorithms-implementation
Algorithms and Data Structures implemented in Java
kafka-cassandra-tutorial
Learning Kafka from scratch
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
NoSQLDataEngineering
NoSQL Data Engineering
pyspark-example-project
Example project implementing best practices for PySpark ETL jobs and applications.
pyspark-tutorial
PySpark Code for Hands-on Learners
python
Learn Python by Coding
PythonChallenges
Challenges just for continue practice
scala-spark-tutorial
Project for James' Apache Spark with Scala course
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
system_design
Preparation links and resources for system design questions
TaxiOptimizer
My Data Engineering project @ Insight Data Science
UCSD_Data_Science_and_Engineering
In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and statistician to create mathematical models of the data, identify trends/deviations, then present them in effective visual ways that can be understood by others. Data scientists unlock new sources of economic value, provide fresh insights into science, and inform decision makers by analyzing large, diverse, complex, longitudinal, and distributed data sets generated from instruments, sensors, internet transactions, email, video, and other digital sources. Students entering the MAS program for a degree in Data Science and Engineering will undertake courses in programming, analysis, and applications management and visualization. This program requires three foundational courses, four core courses, and two electives totaling thirty-four units, plus a capstone team project course of four units, for a total of thirty-eight units.
udacity-dend
Data Engineering Nanodegree
yelp-dataset-challenge
Data Engineering task