BT

Facilitating the Spread of Knowledge and Innovation in Professional Software Development

Write for InfoQ

Topics

Choose your language

InfoQ Homepage AI, ML & Data Engineering Content on InfoQ

  • 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.

  • Mike Barlow on Real-Time Big Data Analytics

    "Real-Time Big Data Analytics: Emerging Architecture" white paper authored by Mike Barlow covers big data analytics topic and how real-time big data analytics (RTBDA) are different from traditional analytics. InfoQ spoke with Mike about the current state of real-time big data analytics and the emerging trends in the Big Data space like Decision Science.

  • Interview and Video Review: Working with Big Data: Infrastructure, Algorithms, and Visualizations

    Paul Dix leads a practical exploration into Big Data in this video training series. The first five lessons of the training span multiple server systems with a focus on the end to end processing of large quantities of XML data from real Stack Exchange posts. He completes the training with a lesson on developing visualizations for gaining insights from the macro level analysis of Big Data.

  • The Datomic Information Model

    Rich Hickey, the author of Clojure, explains the information model of Datomic - a new database designed as a composition of simple services, combining the capabilities of RDBMS and scalability of NoSQL.

  • Interview and Book Review: NoSQL Distilled

    InfoQ spoke with both authors of the book, Pramod and Martin Fowler about NoSQL database space, the emerging trends in NoSQL.

  • Hadoop Virtual Panel

    In this virtual panel, InfoQ talks to several Hadoop vendors and users about their views at current and future state of Hadoop and the things that are the most important for Hadoop’s further adoption and success.

  • The Architecture of Datomic

    Rich Hickey, the author of Clojure, explains the architecture of Datomic - a new database designed as a composition of simple services, combining the capabilities of RDBMS and scalability of NoSQL.

  • Julien Nioche on Apache Nutch 2 Features and Product Roadmap

    Open source web-search framework Apache Nutch version 2 supports large scale crawling, link-graph database and HTML parsing. InfoQ spoke with Julien Nioche, VP of Apache Nutch project, about the framework new features and its future roadmap.

  • Blueprint for a Big Data Solution

    In his new article Jonathan Natkins explains how to use components of Apache Hadoop, including Flume, Hive and Oozie to implement a typical Data management system. He also gives a practical example of such architecture to measure Twitter user’s influence.

  • Inside the Complexity of Delivering Cloud Computing

    There's a lot more to cloud computing than meets the eye. This article presents an insider's view on what really is entailed in designing and deploying a cloud-based solution.

  • Hadoop and Metadata (Removing the Impedance Mis-match)

    A new Apache HCatalog project is a table and storage management layer for Hadoop that enables different data processing tools – Pig, MapReduce, and Hive – to more easily inter-operate data. HCatalog’s presents users with a relational view of data and ensures that users need not worry about where or in what format their data is stored – RCFile format, text files, or sequence files.

  • Transitioning from RDBMS to NoSQL. Interview with Couchbase’s Dipti Borkar

    While relational databases have been used for decades to store data, and they still represent a viable solution for many use cases, NoSQL is being chosen today especially for scalability and performance reasons. This article contains an interview with Dipti Borkar, Director of Product Management at Couchbase, on the challenges, benefits and the process of migrating from RDBMS to NoSQL.

BT