This is a call for Submissions for the Data Stores conferences that will be held between September 2021 and August 2022 for the Data Stores track under Rootconf. Choosing Datastores conferences aim 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.
Rootconf is a community funded organization. If you like the work that Rootconf does and want to support meet-ups and activities - online and in-person - contribute by picking up a membership
Most of the software services are driven by internal configurations. There is no one-size-fits-all solution for these configurations as they could be as simple as some basic flags to full-blown multi-page JSONs. One common pitfall across these services is that the configurations are hardcoded in the codebase as JSON, YAML files. Customizations are hard to maintain, difficult to change, and prohib… more
Category: 30 min talk
Relational Databases as well as non relational data stores support a number of high performing, high volume and highly available applications on the Internet. At Linkedin, many important functionalities are powered by an RDBMS (MySQL and Oracle) or a NoSQL Data Store (Espresso). While we’ve developed a reliable process for schema evolution, we have also run into major changes in the fundamental s… more
Introduction Time series database (TSDB) is optimized for storing and serving data through associated pairs of time and value. They are different from other datastores that track changes to the overall system as INSERTs not UPDATEs. TSDB largely help in forecasting and anomaly detection with seamless application of moving average, exponential smoothing, stationarity, autocorrelation, SARIMA, and … more
Category: 15 min talk