I’m thrilled to announce that my book, AI for People and Business, is now officially released!…
ContinueAdded by Alex Castrounis on July 25, 2019 at 5:43pm — No Comments
We live in a world where the amount of data has increased on a large scale in various fields. Websites track user activities, marketers collect the customer’s purchasing history, so-called “Quantified-Selfers” collect the user’s sleeping patterns and heart rates, and so on.
With the availability of vast amounts of data, most industries have started focusing on leveraging valuable insights from it. Those insights can give businesses a competitive advantage in the market and…
ContinueAdded by Arya Nalinkumar on May 4, 2019 at 7:00am — 1 Comment
In this post I will share some tips I learned after using the Apache Hadoop environment for some years, and doing many many workshops and courses. The information here considers Apache Hadoop around version 2.9, but it could definably be extended to other similar versions.
These are considerations for when building or using a Hadoop cluster. Some are considerations over the Cloudera distribution. Anyway, hope it…
ContinueAdded by Renata Ghisloti Duarte Souza Gra on May 24, 2018 at 5:00pm — No Comments
Data isn't your business.It's just by-product of doing business.I know you want to get rid of those redundant data which suck up a lot of storage space.From years companies are known to pay extra to eradicate waste leftover from the production process.Times have changed, though. Through genius innovation, many entrepreneurs have taken what was once useless sludge and transmuted it into massive profits.
After yielding their finished product, breweries in the late 19th…
ContinueAdded by vivek upadhyay on January 15, 2017 at 9:30am — No Comments
Does Big Data mean Hadoop? Not really, however when one thinks of the term Big Data, the first thing that comes to mind is Hadoop along with heaps of unstructured data. An exceptional lure for data scientists having the opportunity to work with large amounts data to train their models and businesses getting knowledge previously never imagined. But has it lived up to the hype? In this article, we will look at a brief history of Hadoop and see how it stands today.
Added by Kashif Saiyed on September 30, 2016 at 6:00pm — No Comments
(Source: https://gcn.com/articles/2016/09/07/epa-air-sensor-challenge.aspx)
One of the most significant characteristics of the evolving digital age is the convergence of technologies. That includes information management (databases), data…
ContinueAdded by Kirk Borne on September 18, 2016 at 9:00am — No Comments
For a world, that's churning out and recording infinite volumes of data every second, where dependency on data is steeply rising, the need to implement Big Data architecture becomes natural.
Big Data solutions can resolve specific big data problems and requirements for data analysis, curation, capturing, sharing, searching,…
ContinueAdded by Ritesh Gujrati on May 5, 2016 at 3:30am — No Comments
"The goal is to turn data into information, and information into insight."
The banking and financial services sector has gone through unprecedented change in the last few years, writes Paul Garel-Jones. Now Customers are expecting a more personalized services from their banks however Regulators have reacted to the credit crunch with significant changes to regulation with more intrusive and granular supervision. At the…
ContinueAdded by Anuj Tripathi on March 10, 2016 at 11:40pm — No Comments
"Information is the oil of the 21st century, and Analytics is the combustion engine."
The Volume, Variety and Velocity of data coming into your organization continue to reach unprecedented levels. This phenomenal growth means that not only…
ContinueAdded by Anuj Tripathi on February 26, 2016 at 12:00am — No Comments
Credit analytics is a way to arrive at creditworthiness of a business or an organization i.e. the ability of the Business or organization to meet its financial obligations. In technical terms, the crux of credit risk analysis lies in identifying the appropriate level of default risk associated with investment in a particular entity.…
ContinueAdded by Tanmay Bhandari on February 19, 2016 at 1:19am — No Comments
As worldwide establishments continue to look for ways to make big data actionable, solutions such as speech analytics are well placed to help customers and balance the need of revealing new revenue opportunities, reducing costs and optimizing the customer experience.…
ContinueAdded by Anuj Tripathi on February 18, 2016 at 12:00am — No Comments
Whether you love it or hate it, predictive analytics has already helped elect presidents, discover new energy sources, score consumer credit, assess health risks, detect fraud and target prospective buyers.
Predictive analytics is business intelligence technology that produces a predictive…
ContinueAdded by Anuj Tripathi on February 18, 2016 at 12:00am — No Comments
Imagine a company that lives in the cloud and requires no human interaction at all. What would it look like? Is this possible? What purpose would it have?
Originally posted by sublimecattree
Let’s start with email: What percentage of emails could be eliminated if all your employees shared the same brain? 90%? 99%? You would only need external facing…
ContinueAdded by Eduardo Siman on February 11, 2016 at 3:53am — No Comments
Fortune 500 companies are investing staggering amounts into data visualization. Many have opted for Tableau, Qlik, MicroStrategy, etc. but some have created their own in HTML5, full stack JavaScript, Python, and R. Leading CIOs and CTOs are obsessed with being the first adopters in whatever is next in data visualization.
The next frontier in data visualization is clearly immersive experiences. The 2014 paper "Immersive and Collaborative Data Visualization Using Virtual Reality…
ContinueAdded by Eduardo Siman on February 9, 2016 at 10:30am — 3 Comments
Evolution or Revolution?
The part of enormous information in medication is one where we can construct better wellbeing profiles and better prescient models around individual patients with the goal that we can better analyze and treat sickness.
One of the fundamental restrictions with medicine today and in the pharmaceutical business is our comprehension of the biology of sickness. Huge information becomes an integral factor…
ContinueAdded by Linda Hartman on January 28, 2016 at 4:30am — No Comments
Added by Sandeep Raut on September 20, 2015 at 6:18am — No Comments
Open data repositories are valuable for many reasons, including:
(1) they provide a source of insight and transparency into the domains and organizations that are represented by the data sets;
(2) they enable value creation across a variety of domains, using the data as the “fuel” for innovation, government transformation, new ideas, and new businesses;
(3) they offer a rich variety of data sets for data scientists to sharpen their data mining, knowledge discovery, and…
ContinueAdded by Kirk Borne on August 30, 2015 at 2:09pm — No Comments
I just got back from my vacation in Barcelona, Spain where I spent about 3 days, then rented a car and drove up north through the South of France. My last stop was Nice, France. The trip was a lot of fun and now I intend to find some data to help bring back great memories (hm...it sounds more geeky than I thought but anyway).
Barcelona is located in Catalonia region of Spain famous for its earthy dry reds as well as Cava - world's most delicious bubbly drink. I am a big wine fan which…
ContinueAdded by Tatiana Sorokina on April 12, 2015 at 8:00am — No Comments
This idea came to me out of the blue. I was scrolling through Y Combinator's Hacker News board in search of inspiration. I noticed that some posts (very insightful ones, I thought) ended up at the bottom of the list, other posts were popular but had no comments and some triggered lots of comments but were ranked very low. I can imagine that being popular on Hacker News means a lot to a contributor: s/he gets a ton of views, the post generates…
ContinueAdded by Tatiana Sorokina on March 18, 2015 at 9:30am — 1 Comment
It seems like more and more companies are very interested in either, improving or setting up their analytical capabilities. All these companies are quite attracted to Hadoop, Spark or other similar solutions, not necessarily because they solve real problems they’re facing, but because they are shiny, trendy pieces of technology.
Hadoop, Spark and others are…
ContinueAdded by Anna Anisin on October 28, 2014 at 2:30pm — No Comments
2019
2018
2017
2016
2015
2014
2013
2012
2011
1999
© 2019 Data Science Central ®
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
Most Popular Content on DSC
To not miss this type of content in the future, subscribe to our newsletter.
Other popular resources
Archives: 2008-2014 | 2015-2016 | 2017-2019 | Book 1 | Book 2 | More
Most popular articles