Data Engineering (page 4)

Build pipelines to extract and prepare data on a massive scale. Learn "big data" technologies such as Apache Spark and other horizontally scalable data tools.

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Working With Google Cloud Functions

GCP scores a victory by trivializing serverless functions.
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Extract Nested Data From Complex JSON

Never manually walk through complex JSON objects again by using this function.
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Reading and Writing to CSVs in Python

Read information from existing CSVs or write/modify your own. Keep your script lightweight by leveraging Python's built-in I/O and CSV libraries.
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Hacking Your Tableau Linux Server

Cracking Tableau's master Postgres account.
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Using Pandas with AWS Lambda Functions

Use Python's Pandas library in your AWS Lambda functions.
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Working with XML tree data in Python

Make use of Python's native XML library to walk through and extract data.
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Using PyMySQL: Python's MySQL Library

The lightweight Python library for interacting with MySQL.
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Accessing Self-Hosted MySQL Externally

Configure a self-installation of MySQL on Ubuntu to allow access from external sources, such as SequelPro or other GUIs.