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.

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    Golang Developer for German Technology Company in Real Estate Sector (2000 EUR - 4500 EUR p. month) We are building an all-in-on-plattform for property management companies based in Germany. The project is running since 1 year and we are close to expanding into the market. We are looking for a strong BackEnd engineer as an addition to our team who will allow us to speed up our feature development process. What we are looking for: - Advanced skills in Backend Golang development - We use a Postgres Database with SQL and little NoSQL - Good general understanding of database design and system architecture - Basic DevOps knowledge (everything around CI/CD) - Fluent English – communication is key to make fast progress as a team - University degree is preferred, but not a must - Reference...

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    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 ...

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