Here, in alphabetical order, are some of our favorite newsletters. Some come from event organizers, some from news aggregators, and some from topic-specific news outlets. We’ve found all of these handy, however, as we assemble our blog and try to keep ahead of the latest news. Hopefully you’ll find a similar benefit!
Big data has gone mainstream with 67% of executives reporting that they have big data initiatives running in production, up from 32% last year. A remarkably rapid adoption rate, since only two years ago 85% of the respondents had a big data initiative “planned or in progress.” While a third of respondents in 2012 had big data investments of $1 million or more, 45% reported big data spending of greater than $10 million this year, and 74% estimated that their companies will spend that amount in 2017. 82% of the executives surveyed said big data is already integrated into the mainstream of their organizations while only 12% said it is managed as a separate environment.
with 400 pages, and 296,601 total words (11,995 unique words).Searching a medium website
with 60,000 pages, and 5,638,632 total words (256,874 unique words).Searching an large website (CGI and ASP.NET only)
with 125,000 pages, and 10,532,537 total words (360,023 unique words).
Searching an huge website (FastCGI, CGI and ASP.NET only)
with 1,000,000 pages, and 369,293,182 total words (2,817,237 unique words).
The team has announced that its next major version will be a complete re-write with no backwards compatibility. We can expect a release to happen at least a year from now, and it's said that support for 1.3 will continue for 18-24 months from that point.
"Our goal with Angular 2 is to make the best possible set of tools for building web apps not constrained by maintaining backwards compatibility with existing APIs." —Angular blog
It doesn’t matter whether you are using R or Python or Weka – the best approach to learn data science is to learn the basics of the tool you are using (e.g. How is data stored? How can you access specific data points? How to make data manipulations? etc.) and then just start working on a data science problem / project.
Data visualization simply means the creation and analysis of data represented visually. Data abstraction and representation is done in various forms with several attributes and variables serving as units of information.
There are myriad of free Data Visualization Tools available over Internet, amongst them we have compiled a list of 20 Free Data Visualization Tools to serve your purpose, following tools allow end user to view all types of data and to better understand this data provided within a visually defined manner – and this is the definitive purpose