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​​Version control in BigQuery: a quick and dirty way

Modern data warehouses allow us to have a big portion of the Transform part of ETL/ELT offloaded to the data warehouse model. This enables all data team members to build their transformations in SQL, and to have a dynamic model with no need to reload data explicitly or to implement migrations when something is being changed.

And yet, version control is missing…

@BigQuery



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​​Version control in BigQuery: a quick and dirty way

Modern data warehouses allow us to have a big portion of the Transform part of ETL/ELT offloaded to the data warehouse model. This enables all data team members to build their transformations in SQL, and to have a dynamic model with no need to reload data explicitly or to implement migrations when something is being changed.

And yet, version control is missing…

@BigQuery

BY BigQuery Insights




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BigQuery Insights Telegram | DID YOU KNOW?

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What is Telegram?

Telegram’s stand out feature is its encryption scheme that keeps messages and media secure in transit. The scheme is known as MTProto and is based on 256-bit AES encryption, RSA encryption, and Diffie-Hellman key exchange. The result of this complicated and technical-sounding jargon? A messaging service that claims to keep your data safe.Why do we say claims? When dealing with security, you always want to leave room for scrutiny, and a few cryptography experts have criticized the system. Overall, any level of encryption is better than none, but a level of discretion should always be observed with any online connected system, even Telegram.

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