Repository Index

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

• system-design
• backend
• scalability
• interview

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

• python
• machine-learning
• deep-learning
• data-science

TranslatedBig Data Beginner's Guide :star:

• hadoop
• hdfs
• yarn
• mapreduce

The Data Engineering Cookbook

• data-engineer
• data-engineering
• big-data
• best-practices

A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.

• spark
• big-data
• pyspark

Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.

• big-data
• bigdata
• spark
• spark-sql

A curated list of awesome Qlik extensions and resources for Qlik Sense and QlikView

• qlik
• qlik-sense
• qlik-extension
• qlik-sense-extension