What is the most dangerous food at Olive Garden?

Olive Garden is one of the favorite destination for Italian food and today we got hold of the entire Olive Garden menu along with their nutrition data.

A typical meal at Olive Garden starts with a drink, appetizers [free bread sticks], main dish and finally the desert.

So going in the same sequence let see what the data menu for Wine and Beer has to offer.

Amount of Carbs per serving in your favorite Wine at Olive Garden

Read more at: http://www.infocaptor.com/dashboard/what-is-the-most-dangerous-food-at-olive-garden

List of acquisitions by Microsoft a data journey

If we look into the SEC data for Microsoft and other tech companies, Microsoft spends the most in Research and Development from [by dollar]

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Read more at: http://www.infocaptor.com/dashboard/list-of-acquisitions-by-microsoft-a-data-journey

Popularity of Tea, Coffee, Beer and Wine Visualization

If number of searches were an indicator for gauging the popularity of a drink between Tea, Coffee, Beer and Wine then who wins the contest?

Which drink is gaining popularity and which is losing?

Read more at: http://www.infocaptor.com/dashboard/popularity-of-tea-coffee-beer-and-wine-visualization

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Cloudera certifies InfoCaptor for Big Data analytics on Hadoop

Cloudera welcomes InfoCaptor as a certified partner for data analytics and visualization. InfoCaptor delivers self-service BI and analytics to data analysts and business users in enterprise organizations, enabling more users to mine and search for data that uncovers valuable business insights and maximizes value from an enterprise data hub


Rudrasoft, the software company that specializes in data analytics dashboard solutions, announced today that it has released an updated version of its popular InfoCaptor software, which includes integration with Cloudera Enterprise. The integration takes advantage of Impala and Apache Hive for analytics.


"Our clients are increasingly looking to adopt Hadoop for their data storage and analytics requirements and their common concern is the lack of an economical web-based platform that works with their traditional data warehouses, RDBMS and with Cloudera Enterprise,"

Cloudera-certified InfoCaptor, adds native Impala functionality within Visualizer so users can leverage Date/time functions for date hierarchy visualizations, time series plots and leverage all the advanced hierarchical visualization natively on Cloudera Enterprise.


"Impala is the fastest SQL engine on Hadoop and InfoCaptor can render millions of data points into beautiful visualizations in just a blink of an eye," said Nilesh Jethwa [founder]. "This is a great promise for the big data world and affordable analytics with sub-second response time, finally CEOs and CIOs across industries can truly dream of cultivating a data driven culture and make it a reality."


"Cloudera welcomes InfoCaptor as a certified partner for data analytics and visualization. InfoCaptor delivers self-service BI and analytics to data analysts and business users in enterprise organizations, enabling more users to mine and search for data that uncovers valuable business insights and maximizes value from an enterprise data hub," said Tim Stevens, vice president of Business and Corporate Development at Cloudera.


InfoCaptor is an Enterprise Business Analytics and Dashboard software meant for:

  • Data Discovery
  • Visualizations
  • Adhoc Reports
  • Dashboards


InfoCaptor brings the power of d3js.org visualizations and the simplicity of Microsoft Excel and puts it in the hands of a non-technical user. This same user can build Circle Pack, Chord, Cluster and Treemap/Sunburst visualizations on top of Cloudera Enterprise using simple drag and drop operations.
InfoCaptor can connect with data from virtually any source in the world, including SQL database from Microsoft Excel, Microsoft Access, Oracle, SQL Server, MySQL, Sqlite, PostgreSQL, IBM DB2 and now Impala and Hive. It supports both JDBC and ODBC protocols.


InfoCaptor also serves as a powerful visualization software and it includes over 30 vector-based map Visualizations, close to 40 types of chart visualizations, over 100 flowchart icons and other HTML widgets. InfoCaptor also provides a free style dashboard editor that allows quick dashboard mockups and prototyping. With this ability users can place widgets directly anywhere on the page and use flowchart style icons and connectors for annotation and storytelling.


Users can download the application and install it within their firewall.
Alternatively, a cloud offering is also available at https://my.infocaptor.com or Download dashboard software

 

InfoCaptor is a very modestly priced Analytics and Visualization software
" Personal Dashboard License can be purchased for $149/year
" Server license starts at $599/year
" Cloud based subscription starts at $29/user/month


Visit http://www.infocaptor.com or email bigdata(at)infocaptor(dot)com for Demo and Price list

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Reddit 10 year growth analysis and visualization

In this article we will analyze the 10 year growth history of Reddit using simple visualizations.

Read more http://www.infocaptor.com/dashboard/reddit-10-year-growth-analysis-and-visualization

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Marriage and Divorce Rates Analysis Dashboard CDC Data set

Marriage rates by Census region

Read more at: www.infocaptor.com/dashboard/marriage-and-divorce-rates-analysis-dashboard-cdc-data-set

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NFL Play by play analysis using Cloudera Impala

Who won the most games against which losing team?

 

Read More at: www.infocaptor.com/dashboard/nfl-play-by-play-analysis-using-cloudera-impala

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Perform Big Data Analytics with Cloudera Impala and InfoCaptor

InfoCaptor now officially works with Cloudera's Hadoop distribution and specifically with Hive and Impala.

Once you get connected to either Impala or Hive you can perform drag and drop visualization just like with any other data source.

InfoCaptor adds native Impala and Hive functionality within the Visualizer so you can leverage Date/time functions for date hierarchy visualizations.

Read the details about InfoCaptor does big data with Impala and Hive

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VC Investment Data visualization and analytics

Using the data from pwcmoneytree.com and easy to use dashboard software we perform analytics on a huge dataset that spans 20 years of Venture capital investment data from 1995 onward. Having data that goes far into the history should give us enough to extract the necessary analytical juice out of it.

 

VC investment by industry

Change in investment pattern between 2000 and 2014

The year 2000 was definitely the peak for VC investment craziness. A whopping 105 Billions was pumped into startups and bringing them quickly for IPO. Ever since after the crash of 2000... Continue reading the original article

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