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All Blog Posts Tagged 'database' (26)

Introduction to the BigObject® and In-place Computing Model

The BigObject® - A  Computing Engine Designed for Big Data

BigObject® presents an in-place* computing approach, designed to solve the complexity of big data and compute on a real-time basis. The mission of the BigObject® is to deliver affordable computing power, enabling enterprises of all scales to interpret big data. With the advances in what a commodity machine can perform, it…

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Added by Yuanjen Chen on November 20, 2013 at 5:29pm — No Comments

The assumptions on which the RDBMS is based has changed: data and code

In general, computer scientists treats code and data in two very different ways. Virtual memory was originally developed to run big programs (code) in small memory, while data are entities kept in external storage and must be retrieved into memory before computing. As a result, today’s application developers think by instinct the programming model based on storage and explicit data retrieval. This model, referred to as storage-based computing, plays an important role and has done a great job…

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Added by Yuanjen Chen on October 31, 2013 at 7:24pm — No Comments

What is the difference between in-memory and in-place computing approach?

To be short, in-memory computing takes advantage of physical memory, which is expected to process data much faster than disk. In-place, on the other hand, fully utilizes the address space of 64bit architecture. Both are gifts from the modern computer science; both are essences of the BigObject. 

In-place computing only becomes possible upon the introduction of 64bit architecture, whose address space is big enough to hold the entire data set for most of cases we are dealing with today.…

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Added by Yuanjen Chen on October 29, 2013 at 1:00am — No Comments

The BigObject - an Agile Analytic Engine for Big Data

Hi all,

This is my first post here. I'm glad to introduce this newly launched big data analytic engine, the BigObject. In the past 2 years we have been working on an optimal approach to handle big data for analytic purposes and challenging the existed models, some assumptions of which are no longer valid. For example, as the data size grows so rapidly, is it still practical that we stick to the relational models neglecting the time spending in data retrievals? What impact did…

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Added by Yuanjen Chen on October 23, 2013 at 11:30pm — 2 Comments

Top 5 Cloud Computing Myths…That Just Won’t Die

Like “Big Data”, the term “Cloud Computing” has given rise to a number of misconceptions concerning what it is and what it does. While many of these delusions have been sufficiently debunked, a number of mistaken beliefs about the cloud have managed to keep hanging around---attaining mythical status despite being laid bare on more than a few blogs designed to dismiss them once and for all. And so, culled from the blogosphere for your consideration comes this non-biased compilation of the top…

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Added by Gil Allouche on October 14, 2013 at 10:31am — 1 Comment

Database Revolution - The Future of Information Publishing

Here’s a brilliant presentation from Mike Bowers, Principal Engineer at the Church of Jesus Christ of Latter Day Saints.  It accomplishes two major objectives; Mike reviews the strengths and weaknesses of the five major classes of databases today (relational, dimensional, object, graph and document).  He then dissects the major NoSQL databases on the market including MarkLogic, Mongo, Riak, Cloudant/Couch DB and Cassandra.  How do they stack up? Are they enterprise ready?  If developer…

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Added by Tony Agresta on January 4, 2013 at 10:20am — No Comments

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