Python 🐍 Work With Data
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A collection of books and articles on Python and various data manipulation tools. Overview of architecture of business intelligence systems, design and development of BI Reports, data processing in Python Pandas.
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آرشیو پست ها
Data Engineering with Python, Paul Crickard, 2020
What you will learn
- Understand how data engineering supports data science workflows
- Discover how to extract data from files and databases and then clean, transform, and enrich it
- Configure processors for handling different file formats as well as both relational and NoSQL databases
- Find out how to implement a data pipeline and dashboard to visualize results
- Use staging and validation to check data before landing in the warehouse
- Build real-time pipelines with staging areas that perform validation and handle failures
- Get to grips with deploying pipelines in the production environment
KNIME Analytics Platform is the “killer app” for machine learning and statistics | by SJ Porter | Towards Data Science
https://towardsdatascience.com/knime-desktop-the-killer-app-for-machine-learning-cb07dbef1375
KNIME Analytics Platform is the open source software for creating data science. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone.
https://www.knime.com/knime-analytics-platform
The Data Engineering Interview Study Guide | by SeattleDataGuy | Apr, 2021 | Better Programming
https://betterprogramming.pub/the-data-engineering-interview-study-guide-6f09420dd972
ETL with Azure Cookbook Practical recipes for building modern ETL solutions to load and transform data from any source
- Explore ETL and how it is different from ELT
- Move and transform various data sources with Azure ETL and ELT services
- Use SSIS 2019 with Azure HDInsight clusters
- Discover how to query SQL Server 2019 Big Data Clusters hosted in Azure
- Migrate SSIS solutions to Azure and solve key challenges associated with it
- Understand why data profiling is crucial and how to implement it in Azure Databricks
- Get to grips with BIML and learn how it applies to SSIS and Azure Data Factory solutions
Orchestration Frameworks for Big Data | by Javier Ramos | ITNEXT
https://itnext.io/orchestration-frameworks-for-big-data-cfb9d3af6e7e
Руководство по Docker Compose для начинающих / Блог компании RUVDS.com / Хабр
https://habr.com/ru/company/ruvds/blog/450312/
Docker на практике by Иан Милл, Эйдан Хобсон Сейерс.pdf
Простая идея Docker – упаковка приложения и его зависимостей в единый развертываемый контейнер – породило ажиотаж в индустрии программного обеспечения. Теперь контейнеры являются крайне необходимыми для корпоративной инфраструктуры, а Docker представляет собой бесспорный отраслевой стандарт.
Интересна ли вам тема Apache Superset + Apache Druid или Clickhouse?
Основы Docker за Х часов и Y дней / Хабр
https://habr.com/ru/post/337306/
Building Power BI custom visuals with React and D3.js | Pt. One | Welcome, Developer
https://www.welcomedeveloper.com/building-power-bi-custom-visuals-with-react-and-d-3-js-pt-one
How Airbnb Achieved Metric Consistency at Scale | by Robert Chang | Airbnb Engineering & Data Science | Apr, 2021 | Medium
https://medium.com/airbnb-engineering/how-airbnb-achieved-metric-consistency-at-scale-f23cc53dea70
Сравнение открытых OLAP-систем Big Data: ClickHouse, Druid и Pinot / Блог компании Конференции Олега Бунина (Онтико) / Хабр
https://habr.com/ru/company/oleg-bunin/blog/351308/
Python Exercises, Practice, Solution - w3resource
https://www.w3resource.com/python-exercises/
