Choosing datastores

Choosing datastores

Guide on how to select datastores to solve different problems

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Submissions close 15 Aug 2021, 11:59 PM

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While the concept of digital information is relatively young, humans have been storing and retrieving information since the dawn of civilisation. From cave paintings to the printing press, from central databases to decentralised blockchain, every single shift in data storage and retrieval technology has led to widespread socio-technological impact. Yet, selecting a storage technology is not as easy as choosing between a cave painting or a book given that we store digital data across various systems in numerous formats with different requirements.

This project aims to help technology practitioners learn about how to select a datastore and be aware of their limitations when applied to the problem at hand.

We are accepting experiential talks on:

  • Hidden criteria of database selection such as operations or impact on other teams within an organization such as data platform teams.
  • Data modelling and developer experience with datastore.
  • Running datastores at scale - the true meaning of tuning, debugging and operations.
  • Solving specific use cases with a certain datastore.
  • DatastoreOps workflows.
  • Use of datastore in novel ways to solve for legal regulations.

We invite engineers who work closely with datastores to speak about their experience in selecting, using and scaling these technologies.

Contact information: Join the Rootconf Telegram group at https://t.me/rootconf or follow @rootconf on Twitter.
For inquiries, contact Rootconf at rootconf.editorial@hasgeek.com or call 7676332020.

Hosted by

Rootconf is a forum for discussions about DevOps, infrastructure management, IT operations, systems engineering, SRE and security (from infrastructure defence perspective). more

While the concept of digital information is relatively young, humans have been storing and retrieving information since the dawn of civilisation. From cave paintings to the printing press, from central databases to decentralised blockchain, every single shift in data storage and retrieval technology has led to widespread socio-technological impact. Yet, selecting a storage technology is not as easy as choosing between a cave painting or a book given that we store digital data across various systems in numerous formats with different requirements.

This project aims to help technology practitioners learn about how to select a datastore and be aware of their limitations when applied to the problem at hand.

We are accepting experiential talks on:

  • Hidden criteria of database selection such as operations or impact on other teams within an organization such as data platform teams.
  • Data modelling and developer experience with datastore.
  • Running datastores at scale - the true meaning of tuning, debugging and operations.
  • Solving specific use cases with a certain datastore.
  • DatastoreOps workflows.
  • Use of datastore in novel ways to solve for legal regulations.

We invite engineers who work closely with datastores to speak about their experience in selecting, using and scaling these technologies.

Contact information: Join the Rootconf Telegram group at https://t.me/rootconf or follow @rootconf on Twitter.
For inquiries, contact Rootconf at rootconf.editorial@hasgeek.com or call 7676332020.

Make a submission

Submissions close 15 Aug 2021, 11:59 PM

Hosted by

Rootconf is a forum for discussions about DevOps, infrastructure management, IT operations, systems engineering, SRE and security (from infrastructure defence perspective). more