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,…Continue
Added by Ritesh Gujrati on May 5, 2016 at 3:30am — No Comments
The Monday edition has six sections: (1) Featured Resources and Technical Contributions, (2) Featured Articles and Case Studies, (3) From…Continue
Added by Vincent Granville on May 4, 2016 at 3:30pm — No Comments
"There is no evidence that anybody has been converted by a pie chart."
So said Martin Palmer, secretary general of the Alliance of Religions and Conservation, on BBC’s Beyond Belief.
He went on to say, "People are converted by stories, by narrative, by emotion, by an appeal to the heart."
This was a discussion about climate change and the Pope’s encyclical on the issue.…Continue
Python is widely used for data analysis and you might have considered learning it yourself (if not, or if you’re still looking for that bit of extra motivation to get started, see why you should be…Continue
According to Wikipedia, MongoDB is a cross-platform document-oriented database. Classified as a NoSQL database, MongoDB avoids the traditional table-based relational database structure in favor of JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster. MongoDB is developed by MongoDB Inc. and is published as free and open-source software. MongoDB is the fourth most popular type of database…Continue
Added by L.V. on May 3, 2016 at 9:00am — No Comments
Here I discuss my prediction about the worst 15-year long (yet unabated) real estate bubble: this is an example where visualizations, when not carefully selected and put into context, can be seriously misleading, even for top experts. Here I also provide some hints to help you avoid these visualization traps. This article shows how data scientists should think, when confronted to charts such as the one below.…Continue
Whether you love or hate politics, one thing…
Added by Larisa Bedgood on May 3, 2016 at 4:30am — No Comments
Getting insights from data are what everybody is looking for. How about getting insights from someone that spent 30 years in digital analytics and understanding data?
Meet Stephane Hamel. Stephane is an experienced digital analytics consultant cumulating a dozen years in the field. He…Continue
Added by George Psistakis on May 3, 2016 at 12:53am — No Comments
As part of my Technology and Innovation MBA program at Ted Rogers School of Management, I took a data and knowledge management course which teaches students the principles and practices of knowledge management. The second part of the course delves on tools used in data management and analytics. Although the theoretical part of the course was a bit dry, the hands-on…Continue
In April, Gil Press posted a list of top 10 hot big data technologies in Forbes Magazine. The technologies being featured as hot were:
Guest blog post by Jason O’Rawe – ODSC data science team contributor.
Data science is an interdisciplinary endeavor, and it serves the purpose of extracting insight from varying sources of information. Various communities come together at Data Science Conferences to share their knowledge and promote innovation. It is not surprising, then, that the tools showcased by data scientists at ODSC East are myriad, but what are the most valued and popular programming languages in a…Continue