Azure Data Factory, Azure Databricks, or Azure Synapse Analytics? When to use what.
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
Speaker: Lisa Hoving https://SQLbits.com/speakers/Lisa_Hoving
http://SQLbits.com/Sessions/Azure_Data_Factory_Azure_Databricks_or_Azure_Synapse_Analytics_When_to_use_what
Tags: Azure,Synapse Analytics,Spark,Data Lake,Managing,Successful Delivery,Data Bricks,Architecture & Infrastructure,Big Data & Data Engineering
Тэги:
#Architecture_&_Infrastructure #Azure #Big_Data_&_Data_Engineering #Data_Bricks #Data_Lake #Managing #Spark #Successful_Delivery #Synapse_AnalyticsКомментарии:
very nicely explained. great job!
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Thanks a lot @lisa. I got a whole lot of clarity. Was always confused about which service to use and why.
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What can DataBricks do that Synapse cannot do better?
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It was an excellent session regarding all these tools. It helps you a lot to understand when to use what.
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What about the Java u highlighted earlier? Or did i missed it 😂
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Excellent! Thanks, Lisa Hoving.
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Great presentation thank you.
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I am bit confused, why cant we store data in Databricks. Databricks has Lake house to do so?
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Azure Data Factory is similar to SSIS and doesn't have a data store to persist the data, but Azure Databricks and Azure Synapse has a database engine to support the storage of data.
Azure Data Factory is only an ETL/ELT tool. But for the other two there are ETL/ELT and database.
In case this, Azure Data Factory shouldn't be compared to a database.
