Article presenting PyMongo basics with MongoDB
NoSQL, which stand for "not only SQL," is a database that provides a mechanism for storage and retrieval of data. It can accommodate a wide variety of data models, including document, graph stores such as Giraph and Neo4J, key-value like Redis and Riak, and wide-column. NoSQL is an alternative to relational databases or where data is modeled in tabular format.
NoSQL databases have become a preferred approach for a variety of reasons. Aside from its flexibility, its advantage also lies on its high scalability. NoSQL can handle huge amount of data since it supports automatic database partitioning, compared to SQL databases which need complex arrangements for sharding to be possible. It is also the preferred type for application that require multi-row transactions since SQL is table-based. NoSQL is also used when data is changing and growing over time and lacks structure.Thuê NoSQL Experts
Hello, I am looking for expert Ruby on Rails developer. You should have minimum of 4+ years of experience. Also you should have worked on Database Schema Design, NoSQL, Heroku, Amazon Aurora. Bid only if you can work in my budget and have expertise in above skills needed. You will have to undergo technical discussion to get this work. Looking for long term partnership.
Connect an existing Android App to the iMotions platform using their API (). The Android App is connected to a Firestore NoSQL cloud database. A new functionality for data processing and storing must be developed for the App. Data is coming from the API and is inserted into the Firestore after processing. The existing Android App must be updated.
An existing app needs to rebuild with a new, modern infrastructure. Dashboard app layout with subscription plans and notifications(sms) system. Stack: , Nodejs, AWS, MUI, GitHub, Redux Services: Payment, Mails, Notifications We have details app specification documents and mockups.
Web Application Inventory management POS Invoice Generation Dashboard
Looking for a Data Engineer from India for our Enterprise Client (INDIVIDUALS ONLY). Teams/Enterprises/Consultancies/Agencies please stay away. Project Duration: 3-6 months Location: Remote/WFH Hours Required: 40 hrs/week Responsibilities • Diverse Data Engineering activities using best of the breed commercial and in-house platforms both cloud and on-premise solutions • Build & Deliver Data pipeline connecting various enterprise data sources both RDBMS, NoSQL & APIs to process structured, semi-structured and unstructured data • Develop data mappings to existing data sources, Lead the data identification, data analysis efforts for data sources and work directly with data owner teams • Design and development of data extraction, data ingestion, data ...