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Bringing SQL to NoSQL: Rich, Declarative Querying for NoSQL Gerald Saudi Chief Architect Couch base Keisha Murphy rkeshavmurthy Director Couch base Team N1QL Agenda SQL NoSQL Motivation Rich Data
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How to fill out bringing SQL to NoSQL:

01
Start by analyzing your database needs and requirements. Determine if your current SQL database is no longer meeting your needs in terms of scalability, flexibility, or performance.
02
Research and compare different NoSQL databases to find the one that best suits your requirements. Consider factors such as data model, data replication, query capabilities, and community support.
03
Map your SQL schema to the chosen NoSQL database. Understand the key differences between SQL and NoSQL data modeling and adjust your schema accordingly.
04
Migrate your data from SQL to NoSQL. This can be done using a variety of methods depending on your database and the amount of data you have. Options include ETL (extract, transform, load) tools, custom scripts, or even outsourcing the data migration to a specialized service provider.
05
Update your application code to work with the new NoSQL database. This may involve rewriting certain queries, adapting your data access layer, or making changes to your application logic to take advantage of NoSQL's strengths.
06
Test your application thoroughly to ensure it is functioning correctly with the new NoSQL database. Pay attention to any performance differences or issues that may arise during the testing phase.
07
Monitor and optimize your NoSQL database as needed. NoSQL databases often require different optimization techniques compared to SQL databases, so be sure to familiarize yourself with best practices for performance tuning and scalability.

Who needs bringing SQL to NoSQL?

01
Organizations experiencing rapid data growth and struggling with the scalability limitations of their SQL databases may benefit from migrating to NoSQL. NoSQL databases are typically designed to handle large volumes of data and scale horizontally.
02
Companies with varying data types or unstructured data, such as social media posts or sensor data, can leverage NoSQL databases for their flexibility. NoSQL allows for easier storage and retrieval of diverse data types without the need for rigid table structures.
03
Applications requiring real-time analytics or high-speed data processing can benefit from the distributed nature and low-latency of NoSQL databases. These databases excel in handling massive amounts of data in parallel, which can be crucial for time-sensitive applications like financial systems or IoT platforms.
04
Startups or projects with uncertain or evolving data requirements may find NoSQL databases more suitable. NoSQL's schema-less nature allows for more agile development and easier iteration as data structures can be modified without the need for complex database migrations.
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The merging of SQL and NoSQL technologies to combine the strengths of both relational and non-relational databases.
Database administrators or developers who are implementing the transition from SQL to NoSQL databases.
By following the specific guidelines and steps provided for migrating data from SQL to NoSQL databases.
To take advantage of the scalability and flexibility of NoSQL databases while also retaining the functionality and structure of SQL databases.
Details of the data migration process, any challenges faced, and the final setup of the NoSQL database.
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