Azure/ AifFlow - a как

[VikKur]

Жду офер в фирму...Сказал им - пока жду - давайте подучу что вам там надо.
Сказали - azure/snowflake/airflow...(сволочи - моглибы поконкретнее)
С airflow/snowflake проблем нет . Со snow я сейчас работаю...Air - инсталировал - все логично.
Azure - проблема : инсталировал и получил продложения :
- a хочешь изучить 200 (!) бесплатных сервисов
- или самые популярные. но за недорого
Короче - какое то разводилово.
скачал книжки по сертификатам - буду учить..

[Mad Hatter]

Я бы подождал оффер

[Buddy]

Жду офер в фирму...Сказал им - пока жду - давайте подучу что вам там надо.
Сказали - azure/snowflake/airflow...(сволочи - моглибы поконкретнее)
С airflow/snowflake проблем нет . Со snow я сейчас работаю...Air - инсталировал - все логично.
Azure - проблема : инсталировал и получил продложения :
- a хочешь изучить 200 (!) бесплатных сервисов
- или самые популярные. но за недорого
Короче - какое то разводилово.
скачал книжки по сертификатам - буду учить..

А вы кем будете работать DevOps?

If you're working as a software developer and dealing with Azure, Snowflake, and Airflow, here's what you should know about each:

Azure:

• Cloud Platform: Microsoft Azure is a comprehensive cloud computing platform offering a range of services like computing power, storage, and databases.
  Services: Familiarize yourself with Azure services such as Azure Virtual Machines, Azure App Service, Azure Functions, Azure SQL Database, etc.
  Integration: Learn about Azure Logic Apps and API Management for integrating systems and automating workflows.
  Security: Understand Azure's security features and mechanisms to ensure the applications you build are secure.
  Deployment: Learn how to deploy applications to Azure using tools like Azure DevOps and Azure Resource Manager templates.

Snowflake:

• Cloud Data Warehousing: Snowflake is a cloud-based data warehousing platform designed for large-scale data storage and analytics.
  Data Modeling: Understand how Snowflake's architecture works, including virtual warehouses, databases, and schemas.
  SQL: Learn Snowflake's SQL dialect for querying and manipulating data stored in Snowflake databases.
  Performance: Understand performance optimization techniques for querying large datasets efficiently.
  Integration: Familiarize yourself with Snowflake's integration capabilities with various data sources and tools.

Apache Airflow:

• Workflow Automation: Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows.
  DAGs: Learn about Directed Acyclic Graphs (DAGs) and how to define them in Airflow to create workflows.
  Operators: Understand different types of operators in Airflow (BashOperator, PythonOperator, etc.) for task execution.
  Schedulers: Learn about Airflow's scheduler and how it manages task execution based on dependencies and time.
  Plugins: Explore Airflow's rich ecosystem of plugins that provide integrations with various systems and tools.

In summary, as a software developer working with these technologies, it's crucial to have a solid understanding of cloud platforms like Azure, data warehousing concepts like Snowflake, and workflow automation with tools like Apache Airflow. This knowledge will enable you to build robust, scalable, and efficient applications and systems.

[VikKur]

позиция вроде tech lead. 2 devopsa 2 qa 2 разработчика...

[VikKur]

Я бы подождал оффер

та жду - говорят, клиент ещё позицию не открыл...