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All Blog Posts Tagged 'architecture' (9)

Blockchain emerging as Next-Generation Data and Model Governance Framework

Introduction and Motivation

The blockchain technology has led to a strong foundation for different applications related to asset management, medical/health, finance, and insurance. Data analytics provided by…
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Added by Sharmistha Chatterjee on December 28, 2020 at 1:30am — No Comments

Genius Tool to Compare Best Time-Series Models For Multi-step Time Series Modeling

Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…

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Added by Sharmistha Chatterjee on October 17, 2020 at 10:30pm — No Comments

Unleash the power of your data to reduce your technical debt

Since technical debt has become a central part of my recent professional challenges, I started writing a series of installments regarding this topic.

Do not expect any extensive and detailed work in here, if you need it you can get it googling it or from your favourite online content source.

Just expect more a light work crafted from…

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Added by David Martinez on April 26, 2020 at 5:20am — No Comments

What are Data Pipelines ?

If you have learned temporal parallelism used to speed up CPU execution, you came across instruction pipelines aka pipeline processing. In pipeline processing, you will have many instructions in different stages of execution. The term "Data Pipeline" is a misnomer representing a high bandwidth communication channel used for data transportation between a source system and a destination. In certain cases the destination is called a sink. Pipelines by definition allow flow of a fluid…

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Added by Janardhanan PS on March 14, 2020 at 6:51am — No Comments

Topic detection

Introduction to topic model:

In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for discovery of hidden semantic structures in a text body. 

In topic modeling, a topic is defined by a cluster of words with each word in the cluster having a probability of occurrence for the given topic, …

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Added by fatma gadelrab on March 31, 2019 at 10:06am — No Comments

Market Shifts in Data Integration Technology

It wouldn’t take a genius to notice the evolution of modern technology. In just the past ten years, we’ve watched the flip-phone transform into the smartphone and the automobile inch towards autonomy. Within our own space, we’ve noticed similar shifts, as the resurgent process of data virtualization is growing in importance within the larger data integration market. To further understand the nature of this shift, we take to Gartner:

As data…

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Added by Amy Flippant on April 10, 2017 at 10:30am — No Comments

Anatomy of Data Analytics – Part I

Years ago, when I made a switch from procedural to object oriented programming, concepts such as function overloading fascinated me. The simplicity a single function changing and behaving based on the types of values passed to it spoke volumes to its simplicity and elegance. Being a bit nostalgic I am going to say “those were the good old days!”.  Today, the word Analytics is certainly an overloaded term in the data world!  It is used to define work done by data scientists to…

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Added by Naghman Waheed on November 3, 2015 at 7:42am — No Comments

Lambda Complexity: Why Fast Data Needs New Thinking

The Unix Philosophy, summarized by Doug McIlroy in 1994:

Write programs that do one thing and do it well. Write programs to work together. Write programs to handle text streams, because that is a universal interface.

This is considered by some to be the greatest revelation in the history of computer science, and there’s no debate that this philosophy has been instrumental in the success of Unix and its derivatives. Beyond Unix, it’s easy to see how this philosophy has…

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Added by John Hugg on April 6, 2015 at 7:30am — No Comments

History, Music, and the Depth of Data

Like many students about to finish their undergraduate degree, I decided to artificially inflate my grades by taking some "bird courses." These are not courses about birds. Other students assured me that the courses were designed to bolster my marks and to help me complete my program requirements. Considering the many bird courses available, I decided to take introductory music, which was essentially a history course focused on music. It required a lot of…

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Added by Don Philip Faithful on December 6, 2014 at 8:52am — No Comments

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