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Meltano CLI packaged by Data Science Dojo

Data Science Dojo

Meltano CLI packaged by Data Science Dojo

Data Science Dojo

Meltano is an open-source, flexible, and scalable CLI for ELT+

Data Science Dojo delivers data science education, consulting, and technical services to harvest the power of data.

Trademarks: This software listing is packaged by Data Science Dojo. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

About the offer:

Meltano is an open-source, flexible, and scalable CLI for ELT+. Meltano CLI helps you efficiently transform, convert, and validate your data using a simplified process for data engineering, with the assurance of accuracy and reliability. Meltano's workflow is tailored for individuals working in data engineering and software development. It enables them to have full command and comprehensive insight into their pipelines.

Who benefits from this offer:

  • Software Developers
  • Data Engineers
  • Data Scientists
  • Developers creating pipelines
  • Organization based with ETL processes.

What is included in this offer:

Meltano CLI includes several features, including:

  1. Pipeline creation and management: It allows you to create and manage data pipelines with ease.
  2. Extract, transform, and load (ETL) processes: It supports ETL processes for various data sources.
  3. Plugin management: It provides a plugin system that allows you to extend its functionality and manage plugins efficiently.
  4. Visualization: It offers built-in data visualization capabilities to help you explore and analyze your data.
  5. Configuration management: It provides a simple and flexible configuration management system that allows you to customize your pipelines.
  6. Version control: It integrates with Git, enabling you to version control your pipelines and collaborate with your team.
  7. Integration with other tools: It seamlessly integrates with other tools such as dbt, Singer, and Airflow, among others, to enhance your workflow.

Technical Specifications:

  • Minimum memory:8 GB
  • Minimum vCPU:2 vCPUs
  • Operating System:Ubuntu 20.04
  • Storage: 6GB
  • Python: Currently Python 3.7, 3.8, 3.9, 3.10 and 3.11 are supported. Some plugins do not yet support Python 3.11.
  • Pip: version latest 23.0.1

Features:
  1. Customizable: Meltano provides a centralized platform for managing all your pipelines, including custom connectors for niche or internal sources created using the Meltano Singer SDK. This flexibility enables you to tailor Meltano to your specific use case, allowing you to maximize its capabilities and enhance your data engineering workflow.
  2. Observable: Meltano provides full view with detailed pipeline logs and statistics and allows inspection of code for debugging.
  3. Versionable: With Meltano, you can store your pipelines and their configuration in Git, providing full visibility into your pipelines and easily track changes and roll back to the last known-good configuration if a change accidentally breaks something.
  4. Testable: Meltano automatically test your pipelines in CI, and only deploy to production once everything is green
Integration:

MeltanoHub is the primary location to find all Meltano plugins, including Singer taps and targets. It serves as a single source of truth for users, making it easy to discover and use plugins within Meltano. Additionally, users can contribute to the Hub by adding more plugins, which are immediately accessible within Meltano. The Hub is maintained by Meltano and the broader Meltano community, ensuring that it is continuously curated and up to date. This centralized platform simplifies the process of finding and using plugins, enabling users to enhance their data engineering workflows with ease.

Getting Started:

We have already created first project for you, for further accessing the web-interface follow the steps:

  1. Navigate to the newly created project directory: cd my-meltano-project
  2. Use this command 'meltano ui' and then enable the port 5000 and access web-interface by http://ip-addr:5000

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