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Beyond the Database, and beyond the Stream Processor: What's the Next Step for Data Management?
Databases have been around forever with the same shape: you make a request to your data and then you receive an answer. Now, stream processors came along with a different approach: data isn’t locked up, it is in motion. Understand how stream processors and databases relate and why there is an emerging new category of databases that focus on data that stays in place as well as data that moves.
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Book Review: Developer, Advocate!
Developer, Advocate! is a set of interviews with prominent technologists, covering what drives their interest and enthusiasm in the industry. The brevity of each interview provides direct information and insight that can be read separately at any time, in any order, enabling those with busy schedules to read, put down, and repeat.
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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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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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Philip Rathle on Neo4j 2.3 Graph Database Features and openCypher Initiative
Neo Technology, the company behind the graph NoSQL database Neo4j, recently released version 2.3 of the database. They also announced openCypher initiative to help with creating a standard graph query language. InfoQ spoke with Philip Rathle, VP of Products at Neo Technology, about the new features in the latest release of Neo4j and openCypher announcement.
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NoSQL For Mere Mortals Review and Author Q&A
Addison-Wesley Professional NoSQL for Mere Mortals provides an introduction to NoSQL databases spanning across the major types of databases that fall under the NoSQL umbrella and explaining both advantages and shortcomings that each database type offers. InfoQ has spoken with the book's author, Dan Sullivan.
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High Tech, High Sec.: Security Concerns in Graph Databases
Graph NoSQL databases support data models with connected data and relationships. In this article, author discusses the security implications of graph database technology. He talks about the privacy and security concerns in use cases like graph discovery, knowledge management, and prediction.
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Full Stack Web Development Using Neo4j
When building a web application there are a lot of choices for the database. In this article, author discusses why Neo4j Graph database is a good choice as a data store for your web application if your data model contains lot of connected data and relationships.
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Let Me Graph That For You
In this article on Graph Databases, author Ian Robinson discusses the problems Graph DBs aim to solve. He also talks about the data, storage, and query models for managing variably structured, densely connected data.
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Data Modeling in Graph Databases: Interview with Jim Webber and Ian Robinson
Data modeling with Graph databases requires a different paradigm than modeling in Relational or other NoSQL databases like Document databases, Key Value data stores, or Column Family databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling efforts when using Graph databases.
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Graph Databases - Book Review and Interview
"Graph Databases" book covers the Graph based NoSQL database technology and different options available for storing "Connected Data" in the real world applications. InfoQ spoke with co-authors Ian Robinson and Jim Webber about the book, role of Graph Databases in the NoSQL database space, and what’s coming up in the Graph Databases.
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Virtual Panel: Security Considerations in Accessing NoSQL Databases
NoSQL databases offer alternative data storage options for storing unstructured data compared to traditional relational databases. Though the NoSQL databases have been getting a lot of attention lately, the security aspects of storing and accessing NoSQL data haven't been given much emphasis. This article focuses on the security considerations and best practices in accessing the NoSQL databases.