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data
data
 
 
django_imdb
django_imdb
 
 
docker-bde @ d815757
docker-bde @ d815757
 
 
pics
pics
 
 
ra
ra
 
 
slides
slides
 
 
third_party
third_party
 
 
tm
tm
 
 
vis
vis
 
 
.gitignore
.gitignore
 
 
.gitmodules
.gitmodules
 
 
A Gentle Introduction to Python Part 2.ipynb
A Gentle Introduction to Python Part 2.ipynb
 
 
A Gentle Introduction to Python.ipynb
A Gentle Introduction to Python.ipynb
 
 
B-Tree Node-Split.ipynb
B-Tree Node-Split.ipynb
 
 
CPU vs IO, a Performance Primer.ipynb
CPU vs IO, a Performance Primer.ipynb
 
 
Corona Warn App Principle.ipynb
Corona Warn App Principle.ipynb
 
 
DE.shuffled.txt
DE.shuffled.txt
 
 
Data Visualization.ipynb
Data Visualization.ipynb
 
 
Graphs in Cypher.ipynb
Graphs in Cypher.ipynb
 
 
Graphs in SQL.ipynb
Graphs in SQL.ipynb
 
 
INSTALL.md
INSTALL.md
 
 
Indexing by Recursive External Partitioning.ipynb
Indexing by Recursive External Partitioning.ipynb
 
 
LRU buffer.ipynb
LRU buffer.ipynb
 
 
NSA.ipynb
NSA.ipynb
 
 
Picasso.ipynb
Picasso.ipynb
 
 
Plan Enumeration.ipynb
Plan Enumeration.ipynb
 
 
README.md
README.md
 
 
Relational Algebra.ipynb
Relational Algebra.ipynb
 
 
Relational Model.ipynb
Relational Model.ipynb
 
 
Rule-based Optimization.ipynb
Rule-based Optimization.ipynb
 
 
SQL Injection and Password Security.ipynb
SQL Injection and Password Security.ipynb
 
 
SQL Injection.ipynb
SQL Injection.ipynb
 
 
SQL Injection_DuckDB.ipynb
SQL Injection_DuckDB.ipynb
 
 
SQL.ipynb
SQL.ipynb
 
 
Sneakers.ipynb
Sneakers.ipynb
 
 
Transaction Manager.ipynb
Transaction Manager.ipynb
 
 
Transactions.ipynb
Transactions.ipynb
 
 
Transactions_DuckDB.ipynb
Transactions_DuckDB.ipynb
 
 
requirements.txt
requirements.txt
 
 
z-codes.ipynb
z-codes.ipynb
 
 

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Big Data Engineering

This repository contains code used during my lectures Big Data Engineering.

To run these notebooks, the submodule docker-bde provides installation instructions for a virtual machine using Docker.

Notice: This educational software. We do not give any warranty or guarantee for fitness for a particular purpose, correctness, performance, etc.

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Educational material for big data engineering courses

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