Post #434
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Channel Public Channel
PY Python 🐍 Work With Data
@python_powerbi
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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End-to-End BI Project: Strategy, Steps, Processes, and Tools Part-01 | by Yemunn Soe | Geek Culture | May, 2021 | Medium
https://medium.com/geekculture/end-to-end-bi-project-strategy-steps-processes-and-tools-part-1-1f8c3f8cb00c
https://medium.com/geekculture/end-to-end-bi-project-strategy-steps-processes-and-tools-part-1-1f8c3f8cb00c
Post #428
594
Gartner Peer Insights ‘Voice of the Customer’: Data Preparation Tools
https://www.gartner.com/doc/reprints?id=1-24Q79VXU&ct=201202&st=sb
https://www.gartner.com/doc/reprints?id=1-24Q79VXU&ct=201202&st=sb
Post #427
3.3K
Post #426
757
Data Engineering with Python 2020.epub29.6 MB
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
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
Post #425
589
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
https://towardsdatascience.com/knime-desktop-the-killer-app-for-machine-learning-cb07dbef1375
Post #424
614
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
https://www.knime.com/knime-analytics-platform
Post #423
711
Post #422
903
PowerBI-Advanced-Analytics-with-PowerBI-white-paper.pdf1.4 MB
PowerBI-Advanced-Analytics-with-PowerBI-white-paper.pdf
Post #421
723
Post #420
756
The Data Engineering Interview Study Guide | by SeattleDataGuy | Apr, 2021 | Better Programming
https://betterprogramming.pub/the-data-engineering-interview-study-guide-6f09420dd972
https://betterprogramming.pub/the-data-engineering-interview-study-guide-6f09420dd972
Post #419
742
ETL_with_Azure_Cookbook_Practical_recipes_for_building_modern_ETL.pdf14.2 MB
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
- 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
Post #418
639
Orchestration Frameworks for Big Data | by Javier Ramos | ITNEXT
https://itnext.io/orchestration-frameworks-for-big-data-cfb9d3af6e7e
https://itnext.io/orchestration-frameworks-for-big-data-cfb9d3af6e7e
Post #417
654
Руководство по Docker Compose для начинающих / Блог компании RUVDS.com / Хабр
https://habr.com/ru/company/ruvds/blog/450312/
https://habr.com/ru/company/ruvds/blog/450312/
Post #416
698
Docker_на_практике_by_Иан_Милл,_Эйдан_Хобсон_Сейерс.pdf8.8 MB
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.
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.
Post #415
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Post #414
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