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All Blog Posts Tagged 'RDBMS' (9)

Celebrate the Big Data Problems – #1

Celebrate the Big Data Problems – #1

Daily we are facing many big data problems in production, PoC, and more perspective. Do we have any common repo to collect and share?  No, as we know we don’t have any. As always dataottam is looking forward to share the learnings with community to celebrate their similar, same kind of problems.  And…

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Added by Kumar Chinnakali on January 15, 2016 at 11:30pm — No Comments

Just When You Thought You Understood RDBMS and NoSQL Databases – This Happens

Summary:  Just when you thought you had a handle on the database market it fragments again.  Here’s an overview to help you keep up.…

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Added by William Vorhies on December 3, 2015 at 9:30am — No Comments

The Need for Speed: In-Memory and the Marriage of RDBMS and NoSQL

Summary:…

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Added by William Vorhies on November 5, 2015 at 10:00am — No Comments

SQL: An Introduction

As the amount of the data grows exponentially and terms such as big data become mainstream, the need to handle all this data has increased. Database skills have become some of the most sought-after in the job market today. SQL, which stands for Structured Query Language and is used for relational databases (RDBMS), is one of those skills. In fact,…

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Added by Divya Parmar on September 8, 2015 at 9:26am — No Comments

Data Integrity - A Sequence of Words Lost in the World of Big Data

The subject of this blog might seem rather rudimentary for those who fully understand the importance of properly managing data. For those people, hopefully, you will find the post worth reading and provide constructive feedback and augment the discussion. The purpose of this post is to highlight the necessity to keep data clean and orderly so that the results of the analysis are reliable and trustworthy - if data integrity is intact, information derived from this data will be trustworthy…

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Added by Randall Shane on March 8, 2015 at 12:00pm — No Comments

Temporal Databases: Why you should care and how to get started (Part 3 of 3)

This is the third article in a series.  The first article is available here. The second article is available here.

Not every database requires a temporal database implementation, but some do. We can help…

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Added by Sullexis LLC on January 12, 2015 at 8:00am — No Comments

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: the ideal data structure

We have been using tables in the relational database, mostly for the transactional purposes, and that proves effective. Considering the data size and analytic purpose, however, the data structure might need to be redesigned for better efficiency.

To determine how to decompose the complexity of big data, we have observed the way the organisms function. In the physical world, the universe is organized into a hierarchy of…

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Added by Yuanjen Chen on November 3, 2013 at 10:29pm — 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

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