Python π Work With Data
ΠΡΠΊΡΡΡΡ Π² Telegram
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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ΠΈΠ² ΠΏΠΎΡΡΠΎΠ²
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 βkiller appβ 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
Π ΡΠΊΠΎΠ²ΠΎΠ΄ΡΡΠ²ΠΎ ΠΏΠΎ Docker Compose Π΄Π»Ρ Π½Π°ΡΠΈΠ½Π°ΡΡΠΈΡ
/ ΠΠ»ΠΎΠ³ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ RUVDS.com / Π₯Π°Π±Ρ
https://habr.com/ru/company/ruvds/blog/450312/
Docker Π½Π° ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ by ΠΠ°Π½ ΠΠΈΠ»Π», ΠΠΉΠ΄Π°Π½ Π₯ΠΎΠ±ΡΠΎΠ½ Π‘Π΅ΠΉΠ΅ΡΡ.pdf
ΠΡΠΎΡΡΠ°Ρ ΠΈΠ΄Π΅Ρ Docker β ΡΠΏΠ°ΠΊΠΎΠ²ΠΊΠ° ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΈ Π΅Π³ΠΎ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠ΅ΠΉ Π² Π΅Π΄ΠΈΠ½ΡΠΉ ΡΠ°Π·Π²Π΅ΡΡΡΠ²Π°Π΅ΠΌΡΠΉ ΠΊΠΎΠ½ΡΠ΅ΠΉΠ½Π΅Ρ β ΠΏΠΎΡΠΎΠ΄ΠΈΠ»ΠΎ Π°ΠΆΠΈΠΎΡΠ°ΠΆ Π² ΠΈΠ½Π΄ΡΡΡΡΠΈΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ. Π’Π΅ΠΏΠ΅ΡΡ ΠΊΠΎΠ½ΡΠ΅ΠΉΠ½Π΅ΡΡ ΡΠ²Π»ΡΡΡΡΡ ΠΊΡΠ°ΠΉΠ½Π΅ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠΌΠΈ Π΄Π»Ρ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ, Π° Docker ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅Ρ ΡΠΎΠ±ΠΎΠΉ Π±Π΅ΡΡΠΏΠΎΡΠ½ΡΠΉ ΠΎΡΡΠ°ΡΠ»Π΅Π²ΠΎΠΉ ΡΡΠ°Π½Π΄Π°ΡΡ.
ΠΠ½ΡΠ΅ΡΠ΅ΡΠ½Π° Π»ΠΈ Π²Π°ΠΌ ΡΠ΅ΠΌΠ° Apache Superset + Apache Druid ΠΈΠ»ΠΈ Clickhouse?
ΠΡΠ½ΠΎΠ²Ρ Docker Π·Π° Π₯ ΡΠ°ΡΠΎΠ² ΠΈ Y Π΄Π½Π΅ΠΉ / Π₯Π°Π±Ρ
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
Π‘ΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΠΎΡΠΊΡΡΡΡΡ
OLAP-ΡΠΈΡΡΠ΅ΠΌ Big Data: ClickHouse, Druid ΠΈ Pinot / ΠΠ»ΠΎΠ³ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ ΠΠΎΠ½ΡΠ΅ΡΠ΅Π½ΡΠΈΠΈ ΠΠ»Π΅Π³Π° ΠΡΠ½ΠΈΠ½Π° (ΠΠ½ΡΠΈΠΊΠΎ) / Π₯Π°Π±Ρ
https://habr.com/ru/company/oleg-bunin/blog/351308/
Python Exercises, Practice, Solution - w3resource
https://www.w3resource.com/python-exercises/
