InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Aerospike NoSQL Database Architecture
Aerospike is an open source distributed Key-Value NoSQL database. It supports flexible data schemas and ACID transactions. InfoQ spoke with Brian Bulkowski, Aerospike co-founder and CTO, about the NoSQL database architecture, advantages and its limitations.
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Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse
This article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), when stream processing makes sense, and what technologies and products you can choose from.
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Nikita Ivanov on GridGain’s In-Memory Accelerator for Hadoop
GridGain recently announced the In-Memory Accelerator for Hadoop, offering the benefits of in-memory computing to Hadoop based applications. It includes two components: an in-memory file system and a MapReduce implementation. InfoQ spoke with Nikita Ivanov, CTO of GridGain about the architecture of the product.
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Apache CouchDB: The Definitive Introduction
Apache CouchDB is an open source document NoSQL database that uses JSON for storing documents. In this article, Jan Lehnardt gives an overview of CouchDB, its architecture and what problems it aims to solve and why it is different from all other databases.
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Practical Cassandra: A Developer's Approach - Book Review and Interview
Practical Cassandra: A Developer's Approach book by Russell Bradberry and Eric Lubow, is a developer's guide to build applications using Cassandra NoSQL database. InfoQ spoke with the authors about the book, Cassandra data model, design considerations and how Cassandra performs concurrency and versioning of the data sets.
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Introducing Spring XD, a Runtime Environment for Big Data Applications
Spring XD (eXtreme Data) is Pivotal’s Big Data play. It joins Spring Boot and Grails as part of the execution portion of the Spring IO platform. Whilst Spring XD makes use of a number of existing Spring projects it is a runtime environment rather than a library or framework, comprising a bin directory with servers that you start up and interact with via a shell.
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Cindy Walker on Data Management Best Practices and Data Analytics Center of Excellence
Cindy Walker spoke at Enterprise Data World Conference about using semantic approaches to augment the data management practices. InfoQ spoke with her about the data management best practices and the data analytics center of excellence initiative.
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Data Modeling with Key Value NoSQL Data Stores – Interview with Casey Rosenthal
In Key Value data stores, data is represented as a collection of key–value pairs. The key–value model is one of the simplest non-trivial data models, and richer data models are implemented on top of it. InfoQ spoke with Casey Rosenthal from Basho team about the data modeling concepts and best practices when using these NoSQL databases for data management.
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Rich Reimer on SQL-on-Hadoop Databases and Splice Machine
SQL-on-Hadoop technologies include a SQL layer or a SQL database over Hadoop. These solutions are becoming popular recently as they solve the data management issues of Hadoop and provide a scale-out alternative for traditional RDBMSs. InfoQ spoke with Rich Reimer, VP of Marketing and Product Management at Splice Machine about the architecture and data patterns for SQL in Hadoop databases.
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Transactional NoSQL Database
Document-oriented NoSQL databases are eliminating the impedance mismatch between developers and traditional data models. However developers have come to believe they need to sacrifice ACID transactions. In this article we will look at how MarkLogic dispels this myth
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Apache Kafka: Next Generation Distributed Messaging System
Apache Kafka is a distributed publish-subscribe messaging system. This article covers the architecture model, features and characteristics of Kafka framework and how it compares with traditional messaging systems.
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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.