Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Data-Engineering-Roadmap
Roadmap for Data Engineering
https://github.com/ErdemOzgen/Data-Engineering-Roadmap
- Python Roadmap
- Java Roadmap
- Scala Docs
- Golang Roadmap
- Linux Bible, 10th Edition from Christopher Negus
- Linux Command Line and Shell Scripting Bible, 4th Edition from Richard Blum, Christine Bresnahan
- Neetcode Leetcode
- Desing Patterns
- Interview University
- Data Structures and Algorithms Book recommendation
- Stanford Self-paced ‘Database’ course
- SQL Problems and Solutions – Interactive book
- Learn SQL The Hard Way
- GalaXQL
- PostgreSQL Tutorial
- Head First SQL
- SchemaVerse
- SqlEx
- SQLZoo
- PostgreSQL Exercises
- Agile Testing: A Practical Guide for Testers and Agile Teams
- The Art of Software Testing
- Ansible
- Jenkins
- Docker
- Kubernetes
- Terraform
- Aws CDK
- MySQL
- PostgreSQL
- MariaDB
- Amazon Aurora
- MongoDB
- Elasticsearch
- Apache CouchDB
- Azure CosmosDB
- Apache Cassandra
- Apache HBase
- Google Bigtable
- Neo4j
- Amazon Neptune
- Redis
- Memcached
- Amazon DynamoDB
- Apache Pig
- Data Build Tool
- Apache Kafka
- Apache Storm
- Apache Spark
- Apache Beam
- Apache Flink
- RabbitMQ
- Apache ActiveMQ
- Apache Hadoop
- HDFS
- MapReduce
- Lambda & Kappa Architecture
- Managed Hadoop
- AWS S3
- Google Cloud Storage
- Snowflake
- Amazon Redshift
- Apache Hive
- Google BigQuery
- ClickHouse
- Prometheus
- Datadog
- Sentry
- Jupyter Notebook
- Looker
- Grafana
- Tableau
- Pandas
- NumPy
- Tensorflow
- Keras
- Pytorch
- Scikit-learn
- DPhi-Data Science Courses
- Data Science Methodology
- Data Science Cheat Sheets
- Data Science Roadmap
- IBM Data Science Coursera
- Introduction to Data Science with R
- Machine Learning Algorithms from Scratch
- Python for Data Science: Fundamentals
- Python for Data Science: Intermediate
- Google's Machine Learning Crash Course
- Andrew Ng's Machine Learning Coursera Course
- Intro to Machine Learning
- Intermediate Machine Learning
- Understanding Machine Learning: From Theory to Algorithms
- Probability and Statistics
- freecodecamp's courses for machine learning
- A quick review of the linear algebra concepts relevant to machine learning.
- Calculus
- Statistical concepts for machine learning
- AWS Machine Learning Tools
- Introductory Primer
- Machine Learning Roadmap
- Machine Learning Roadmap: A Step by Step Guide
- TinyML Course
- Machine Learning Introduction with Python
- Machine Learning Guide Podcast
- Andrew Ng's Deep Learning Specializations Course
- Convolutional networks CS231n
- Deep Learning Fundamentals
- Deep learning cheat sheet
- Natural Language Processing CS224n
- IBM Deep Learning Course with certification
- Tensorflow Extended
- Kubeflow
- Amazon Sagamaker
- MLflow
- AWS
- Google Cloud
- Azure
- Python Developer Roadmap
- Draw.io
Programming Languages
Keywords
guidelines
2
interview
2
roadmap
2
sql
2
learning
1
flask
1
elasticsearch
1
django
1
desing-patterns
1
awesome-resources
1
awesome-list
1
olap
1
mpp
1
distributed-database
1
dbms
1
clickhouse
1
big-data
1
analytics
1
jee
1
study-plan
1
software-engineering
1
programming-interviews
1
interview-preparation
1
interview-prep
1
data-structures
1
computer-science
1
coding-interviews
1
coding-interview
1
algorithms
1
algorithm
1
testing
1
rest-api
1
python3
1
python
1
orm
1
nosql
1
microservice
1
machine-learning
1
logging
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java
1