InfoQ Homepage NoSQL Content on InfoQ
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Polyglot Persistence Powering Microservices
At Netflix, the cloud database engineering team is responsible for providing several flavors of data persistence as a service to microservice development teams. Roopa Tangirala explained how her team has created self-service tools that help developers easily implement the appropriate data store for each project's needs.
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Introducing FaunaDB Serverless Cloud
FaunaDB Serverless Cloud is the managed version of FaunaDB, a serverless, object-relational, globally replicated, strongly consistent, temporal database, that can be deployed on multiple clouds, such as AWS, GCP, and Azure, or on premises.
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Introducing Reladomo - Enterprise Open Source Java ORM, Batteries Included! (Part 2)
Goldman Sachs is widely known as a leader in investment banking, but they are very much a leading technology firm as well. Continuing our exploration of Reladomo, the primary Java ORM used at GS and now open source, GS Technology Fellow, Mohammad Rezaei looks at advanced features, such as sharding, caching, bitemporal access, performance, and testing.
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Pascal Desmarets on NoSQL Data Modeling Best Practices
NoSQL databases are specialized to store different types of data like Key Value, Documents, Column Family, Time Series, Graph, and IoT data. Pascal Desmarets talks about how to perform data modeling in NoSQL databases compared to the modeling in Relational databases.
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Big Data Processing Using Apache Spark - Part 6: Graph Data Analytics with Spark GraphX
In this article, author Srini Penchikala discusses Apache Spark GraphX library used for graph data processing and analytics. The article includes sample code for graph algorithms like PageRank, Connected Components and Triangle Counting.
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Analysis and Mitigation of NoSQL Injections
NoSQL data storage systems lack the security measures and awareness that are required for data protection. Because code analysis alone is insufficient to prevent attacks in today's typical large-scale deployment, certain mitigations should be done throughout the entire software life cycle.
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Cassandra: The Definitive Guide, 2nd Edition Book Review and Interview
Cassandra: The Definitive Guide, 2nd Edition book authored by Jeff Carpenter and Eben Hewitt covers the Cassandra NoSQL database version 3.0. Authors discuss several different important topics related to this popular database, including data modeling and Cassandra architecture. InfoQ spoke with Jeff Carpenter about the book and Cassandra database current features and future roadmap.
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From Raw Data to Data Science: Adding Structure to Unstructured Data to Support Product Development
With unstructured database technologies like Cassandra, MongoDB and even JSON storage in Postgres, unstructured data has become remarkably easy to store and to process. Software and data engineers alike can succeed in a world (mostly) free from data modelling, which is no longer a prerequisite to collecting data or extracting value from it.
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Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines
InfoQ Interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline
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Virtual Panel: Current State of NoSQL Databases
NoSQL databases have been around for several years now and have become a choice of data storage for managing semi-structured and unstructured data. These databases offer lot of advantages in terms of linear scalability and better performance for both data writes and reads. InfoQ spoke with four panelists to get different perspectives on the current state of NoSQL databases.
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Martin Van Ryswyk on DataStax Enterprise Graph Database
DataStax recently announced a new product called DataStax Graph to store graph data models. It's based on open source Titan graph database and uses Apache Tinkerpop framework's Gremlin query language. InfoQ spoke with Martin Van Ryswyk about the new product.
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Unified Data Modeling for Relational and NoSQL Databases
Current enterprise data architectures include NoSQL databases co-existing with relational databases. However, NoSQL data management currently lacks mature methods and tools to manage NoSQL data. In this article, author discusses a solution for managing both NoSQL and relational databases using Unified Data Modeling techniques.