I recently completed a full iron-distance triathlon (2.4 mile swim, 112 mile bike, 26.2 mile run) after 9 months of training. There are similarities between my experience as a triathlete and as a Big Data Analytics team member at SAP. Elements of success are the same in both venues.
(1) The first similarity is acquisition of multiple skill sets. While triathlons involve swimming, biking and running, the Big Data Analytics team must have skills in machine…Continue
Added by Patti Tillotson on October 22, 2015 at 7:49am — No Comments
You may think that all big data experts are created equal, but nothing could be further from the truth. However, the terms “data scientist” and “business analyst” are often used interchangeably. It’s a common and confusing use of terminology, which is why [email protected], a masters in business analytics, created this infographic to help create further clarity about the two…Continue
Added by Taylor Meadows on October 22, 2015 at 4:30am — No Comments
We created a Data Science position test.
This short test includes few multiple choice questions to check your knowledge.
This test includes the following skills:
More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet unrecognized science, whose subject of interest was learning from data, or ‘data analysis’. Ten to twenty years ago, John Chambers, Bill Cleveland and Leo Breiman independently once again urged academic statistics to expand its boundaries beyond the classical domain of theoretical statistics; Chambers called for more emphasis on…Continue
Added by Vikram Jayaram on October 22, 2015 at 4:21am — No Comments
As a hiring manager for data analytics positions, I often complain that there are not enough qualified resumes. Most of the resumes that do get passed on to me from recruiters quickly get filed away. Those job candidates belong to one of five high-risk types that I have identified over the years.
These high-risk candidates do not make the cut despite having technical degrees or technical work experience. If your resume falls into one of these types, you should make an effort to remove…Continue
The weekly digest now has 6 sections: (1) Featured Articles and Case Studies, (2) Featured Resources and Technical Contributions, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.
The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday.…Continue
Added by Vincent Granville on October 21, 2015 at 9:30am — No Comments
Summary: Stream Processing and In-Stream Analytics are two rapidly emerging and widely misunderstood data science technologies. In this article we’ll focus on their basic characteristics and some business cases where they are useful.
There are five relatively new technologies in data science…Continue
Added by Algolytics on October 21, 2015 at 5:29am — No Comments
Note: We address real time analytics in the Data Science for IoT practitioner’s course
I am a fan of Twitter - but Twitter is in the news…Continue
Added by ajit jaokar on October 21, 2015 at 3:44am — No Comments
The Internet Governance (IG) Barometer methodology presents a quantitative summary of the main developments in the Internet Governance arena based on computational text and data-mining approaches. The IG Barometer is based on the statistical modeling of large collections of textual documents: thus, it essentially presents an advanced discourse processing system. These collections - called text corpora - are obtained by querying various online media sources with…Continue
Added by Goran S. Milovanović on October 20, 2015 at 11:00pm — No Comments
Added by Teglor on October 20, 2015 at 8:00am — No Comments
Guest blog by Alleli Aspili at Infinit Datum
Big data became more than a buzzword when industries discovered its huge potential. And…Continue
Added by William Vorhies on October 20, 2015 at 7:30am — No Comments
Added by William Vorhies on October 20, 2015 at 7:00am — No Comments
This article describes the approach undertaken by data scientists at Axibase to calculate the Cloud Cover using satellite imagery from the Japanese Himawari 8 satellite.
Today, cloud cover is measured using automated weather stations, specifically the ceilometer and the sky imager instruments. The ceilometer is an upward pointed laser that calculates the time required for the laser to reflect from the clouds, determining the height of the cloud base.…Continue
Added by Axibase Corp on October 20, 2015 at 6:21am — No Comments
The big data analytics space is evolving at a tremendous speed, so is the terminology used in the space. This terminology is sometimes really hard to understand. Here is a list of some of the big data terminologies simplified.…Continue
Added by Aureus Analytics on October 19, 2015 at 10:00pm — No Comments
These are quotes by a well known data scientist, posted on his Facebook account and elsewhere, over the last three years. It includes both quotes related to data science as well as on how to become successful and happy.…Continue
Added by L.V. on October 19, 2015 at 4:30pm — No Comments
A few months ago, we posted this…
Added by Larisa Bedgood on October 19, 2015 at 9:22am — No Comments
If you’re fortunate enough to have a quantitative PhD, you…Continue
This announcement is a very exciting prospect for some but may strike fear into others. In my blog, I will entertain some of the interesting prospects of bringing together these technologies. I also hope to allay some fears as well.
One of the biggest announcements at Teradata Partners 2015 is that Aster will run on Hadoop. Many of our customers have already…Continue
Added by John Thuma on October 19, 2015 at 5:30am — No Comments
Added by Demnag on October 19, 2015 at 2:00am — No Comments