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The NoSQL Ecoystem: A C-Level Guide

As a C-level executive, it’s becoming clear to me that NoSQL databases and Machine Learning toolsets like Spark are going to play an increasingly big role in data-driven business models, low-latency architecture & rapid application development (projects that can be done in 8-12 weeks not years).

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Topics: Spark, analytics, Hadoop, big data, advanced analytics, NoSQL, analytics as a service, Big Data Prescriptions, business perspective solutions

Big Data Performance Anxiety and Data Grids

In Memory Data Grid (IMGD) is a data structure that is being increasingly cited as a solution to the problem of scaling big data applications. Unlike in-memory applications, IMGDs distribute only the data across RAM over multiple servers.  With memory prices continuing to fall and the volume of data for an application continuing to rise, solutions based on memory are looking more attractive to address the performance bottlenecks of applications using Big Data. Should IMGD be on your radar screen for a Big Data application? In order to understand this and other questions on IMGDs, Carpe Datum Rx spoke to Miko Matsumura, VP of Marketing and Developer Relations at Hazelcast, who has seen recent adoption of this technology in banks, telcos and technology companies. Here is an extract from our discussion.

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Topics: analytics, big data, advanced analytics, NoSQL, data analytics infrastructure, Big Data Prescriptions, CIO

Sand Hill Study Reveals What Companies are Really Doing with Hadoop

 

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Topics: Do you Hadoop, big data, NoSQL, Big Data practicioner, data analytics infrastructure, Big Data Prescriptions, business perspective solutions

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