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01-30-2024 08:13 AM
Hello Esteemed Community,
I have a fundamental question to ask, and I approach it with a sense of humility. Your guidance in my learning journey would be greatly appreciated. I am eager to learn how to build a hands-on data pipeline within the Databricks Community Edition or any other cost-effective(less expensive) platform. I am hesitant to register with a credit card, as I am unfamiliar with the billing process. I am unsure whether Azure would incur charges if I were to run a workflow on their platform. Your compassionate advice on this matter is highly valued.
Thank you, Respected Community Members.
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02-03-2024 10:44 PM
Hey @kazinahian
I completely understand your hesitation and appreciate your approach to seeking guidance! Embarking on a learning journey can be daunting, especially when financial considerations are involved. I'm happy to offer some advice on building a hands-on data pipeline with cost-effective options:
Platforms for Learning Data Pipelines:
- Databricks Community Edition: This is a fantastic starting point! It offers a limited runtime environment for exploring notebooks and running short jobs, perfect for learning the basics.
- A few other options could be - Google Colab, Kaggle Kernels, or Local Development
Building a Data Pipeline within Databricks Community Edition:
- Follow tutorials and sample notebooks: Databricks provides numerous resources to guide you through building your first data pipeline. Start with introductory tutorials and progress to more complex examples as you gain confidence. (https://docs.databricks.com/en/getting-started/data-pipeline-get-started.html)
- Utilize sample datasets: The platform offers free access to sample datasets, allowing you to practice without needing your own data.
- Focus on core concepts: While free resources might have limitations, they're excellent for learning fundamental data pipeline concepts like data ingestion, transformation, and loading.
Addressing Your Concerns:
- Azure Free Account: You can create a free Azure account with $200 credit, which should suffice for basic learning on their data services like Synapse Analytics or Databricks. However, monitor usage to avoid exceeding free limits.
- PRO TIP: Always shut off your running clusters/jobs remember it is a pay-per-use business so you'll only be charged if you use any of their services.
Leave a like if this helps, followups are appreciated.
Palash
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02-03-2024 10:44 PM
Hey @kazinahian
I completely understand your hesitation and appreciate your approach to seeking guidance! Embarking on a learning journey can be daunting, especially when financial considerations are involved. I'm happy to offer some advice on building a hands-on data pipeline with cost-effective options:
Platforms for Learning Data Pipelines:
- Databricks Community Edition: This is a fantastic starting point! It offers a limited runtime environment for exploring notebooks and running short jobs, perfect for learning the basics.
- A few other options could be - Google Colab, Kaggle Kernels, or Local Development
Building a Data Pipeline within Databricks Community Edition:
- Follow tutorials and sample notebooks: Databricks provides numerous resources to guide you through building your first data pipeline. Start with introductory tutorials and progress to more complex examples as you gain confidence. (https://docs.databricks.com/en/getting-started/data-pipeline-get-started.html)
- Utilize sample datasets: The platform offers free access to sample datasets, allowing you to practice without needing your own data.
- Focus on core concepts: While free resources might have limitations, they're excellent for learning fundamental data pipeline concepts like data ingestion, transformation, and loading.
Addressing Your Concerns:
- Azure Free Account: You can create a free Azure account with $200 credit, which should suffice for basic learning on their data services like Synapse Analytics or Databricks. However, monitor usage to avoid exceeding free limits.
- PRO TIP: Always shut off your running clusters/jobs remember it is a pay-per-use business so you'll only be charged if you use any of their services.
Leave a like if this helps, followups are appreciated.
Palash
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02-05-2024 05:15 AM
@Palash01 Appreciate your help. 🙂 Thank you.

