resources.md

Resources

Learning

Getting started

Web

Books

Spark

• Mastering Spark SQL (Apache Spark 2.3.1) (gitbook)
• Mastering Apache Spark (2.3.1) (gitbook)
• High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
• Advanced Analytics with Spark: Patterns for Learning from Data at Scale

Kafka

• Mastering Apache Kafka (1.2.0) (gitbook)
• Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale

Cassandra

• Cassandra: The Definitive Guide: Distributed Data at Web Scale

Kubernetes

• Mastering Kubernetes
• DevOps with Kubernetes

Data Science

• Pandas Cookbook
• Python Data Science Handbook
• Hands-On Machine Learning with Scikit-Learn and TensorFlow
• Doing Math with Python
• Python Data Science Handbook
• Python for Data Analysis

API design

• Flask Web Development
• Building Microservices: Designing Fine-Grained Systems
• RESTFul Web Services - The Python Flask Way

Programming in Python

• Python Crash Course: A Hands-On Introduction to Programming
• Learning Python
• Automate the Boring Stuff with Python
• A whirlwind tour of Python
• Fluent Python

Security

• LDAP System Administration
• Kerberos: The Definitive Guide
• Network Security Assessment
• Mastering Linux Security and Hardening

Web

• Vue / Vuex
  • Learning Vue.js 2
  • Vue.js 2 Cookbook
  • Vue.js 2 and Bootstrap 4 Web Development
• React / Redux
  • React Design Patterns and Best Practices
  • Learning React
• Angular resources
  • Learn Angular: The Collection
• Polymer

Curated Resources

• https://github.com/awesome-spark/awesome-spark
• https://github.com/veggiemonk/awesome-docker
• https://github.com/ramitsurana/awesome-kubernetes
• https://github.com/vinta/awesome-python
• https://github.com/sbilly/awesome-security
• https://github.com/bulutyazilim/awesome-datascience
• https://github.com/awesomedata/awesome-public-datasets
• https://github.com/mikewootini/awesome-devops

Github

Data Systems

Analytics

• Spark
• Sci-kit Learn
• Pandas
• Numpy & Scipy
• Dask

Data Stores resources

• Minio
• Redis
• Cassandra
• ELK
• Kafka
• Prometeus

Data Formats

• Parquet
• HDF5
• Arrow

Visualization

• Dash: Dash is a Python framework for building analytical web applications.
• Bokeh: Bokeh is an interactive visualization library that targets modern web browsers for presentation
• Matplotlib: Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.
• Holoviews: HoloViews is an Python library designed to make data analysis and visualization seamless and simple. It uses a declarative approach to visualization.
• Altair: Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite

Infra Ops Stacks

• Canonical: MAAS, Juju, Snappy OS
• Red Hat: Tectonic, Ansible, Openshift, CoreOS, Flannel
• Pivotal: Bosh, Kubo
• Hashicorp: Terraform, Packer
• Openstack: Heat,
• "Indie": Cobbler, Puppet, RancherOS, Calico

Data Ops

• Spark Orchestration
• Dask Distributed
• Tensorflow/Keras Distributed
• Jupyter Hub
• Concourse

Stack

Infra/Dev Ops

• Docker
• Kubernetes
• Concourse
• Ansible
• Packer
• MAAS

Data Layers/Components

• MAAS
• Kubernetes
• Spark
• Cassandra
• Keras + Tensorflow
• Flask APIs
• Reactive Webapps