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  • Matt Schumpert on Datameer Smart Execution

    Datameer, a big data analytics application for Hadoop, introduced Datameer 5.0 with Smart Execution to dynamically select the optimal compute framework at each step in the big data analytics process. InfoQ spoke with Matt Schumpert from Datameer team about the new product and how it works to help with big data analytics needs.

    Srini Penchikala
    on Nov 13, 2014

  • Stats Anomalies Detector

    The article describes the general outline of the Stats Anomalies Detector we developed at MyHeritage and provides a detailed explanation of how to enhance the code (will be available soon at MyHeritage GitHub) to meet your company’s needs.

    Yonatan Harel Ran Levy
    on Nov 07, 2014

  • SQL Server Source Control and Deployment with Visual Studio

    The holy grail of database development is the ability to treat database objects (tables, views, stored procedures, etc.) as if they were just like any other form of source code. While SQL Server Data Tools doesn’t quite that level, it gets very close.

    Jonathan Allen
    on Nov 04, 2014

  • Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics

    Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics book by Brenda L. Dietrich, Emily C. Plachy, and Maureen F. Norton is a collection of experiences by analytics practitioners in IBM. InfoQ spoke with the authors about the lessons learned from the book, the arsenal of technologies IBM has about Big Data and the future of Analytics.

    Alex Giamas
    on Oct 27, 2014

  • How to Effectively Map SQL Data to a NoSQL Store

    Sytze Harkema explains how to save and retrieve relational SQL data into a NoSQL key-value store as implemented by FoundationDB, an open source, scalable, fault tolerant and ACID database.

    Sytze Harkema
    on Oct 23, 2014

  • A Rails Enthusiast’s take on MEAN.js

    John looks at AngularJS and the MEAN stack as an alternative to Ruby on Rails as a productive stack for building typical web applications.

    John Troxel
    on Oct 03, 2014

  • Introduction to Red Gate’s SQL Source Control

    It’s unthinkable for modern application developers to work without source control. The benefits it brings to software development are so well and so long understood that even lone hobbyist developers will tend to employ a source control system. Yet somehow, databases are often left out. David Atkinson shows how this doesn’t have to be the case with Red Gate’s SQL Source Control.

    David Atkinson
    on Oct 01, 2014

  • 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.

    Ian Robinson
    on Sep 29, 2014

  • 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.

    Srini Penchikala
    on Sep 25, 2014

  • Improving Data Management with the DMM

    The CMMI Institute has launched the Data Management Maturity (DMM)SM model. It can be used to improve data management, helping organizations to bridge the gap between business and IT. Using the DMM, organizations can evaluate and improve their data management practices. The model leverages the principles, structure, and proven approach of the Capability Maturity Model Integration (CMMI).

    Ben Linders
    on Sep 15, 2014
  • AI, ML & Data Engineering

    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.

    Kai Wähner
    on Sep 10, 2014

  • 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.

    Srini Penchikala
    on Sep 08, 2014
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