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Tim Matteson

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Originally posted on Analytic Bridge
The big data blast has given rise to a host of information technology software and tools and abilities that enable companies to manage, capture, and analyze large data sets of unstructured and structure data for…
Guest blog post by Khushbu Shah.
Hadoop has continued to grow and develop ever since it was introduced in the market 10 years ago. Every new release and abstraction on Hadoop is used to improve one or the other drawback in data processing, storage a…
Guest blog post by Bill Vorhies
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.
It’s taken a lot of effort to keep up with the changes in RDBMS and NoSQL data base…
Guest blog post by Bill Vorhies
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.
It’s taken a lot of effort to keep up with the changes in RDBMS and NoSQL data base…
Guest blog post by Bernard Marr
Basically Spark is a framework - in the same way that Hadoop is - which provides a number of inter-connected platforms, systems and standards for Big Data projects.
Like Hadoop, Spark is open-source and under the wing…
tutorialspoint
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of mac…
Guest blog post by Bernard Marr
Hadoop – the software framework which provides the necessary tools to carry out Big Data analysis – is widely used in industry and commerce for many Big Data related tasks.
It is open source, essentially meaning that…
Guest blog post by Bernard Marr
Hadoop – the software framework which provides the necessary tools to carry out Big Data analysis – is widely used in industry and commerce for many Big Data related tasks.
It is open source, essentially meaning that…
Guest blog post by Bernard Marr
With an ever-growing number of businesses turning to Big Data and analytics to generate insights, there is a greater need than ever for people with the technical skills to apply analytics to real-world problems.
Compu…
Guest infographics, originally posted on Udemy. It explains the concept, alternatives and career advice.



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Career: Training | Books | Cheat Sheet | Apprenticeship | Certification | Salary Surveys | Jobs
Knowledge: Research | Competit…
Books, certificates and graduate degrees in data science are spreading like mushrooms after the rain.
Unfortunately, many are just a mirage: some old guys taking advantage of the new paradigm to quickly re-package some very old material (statistics,…
Originally posted on Data Science Central

 
The emerging  "Data Stack" or "Data Layer" is in full transition and can be viewed and defined many different ways. The ability to capture, analyze and learn from data generated at unprecedented scale, co…
Guest blog post by Tony Agresta
Technology to store, manage, search and analyze Big Data leaps to the top of the agenda for Financial Institutions as enterprise NoSQL databases come of age.
Financial Institutions are focused on initiatives to surviv…
Originally posted on Data Science Central
Here's a different angle on a much analyzed question at the heart of our professional activities.  In this article, Steve Miller of Inquidia tackles how NoSQL has changed our traditional understanding of Pre…
Originally posted on Data Science Central




What is Hadoop:
Hadoop is a framework written in Java for running applications on large clusters of commodity hardware and incorporates features similar to those of the Google File System and of MapReduc…