October 2016

15

Oct'16

PYTHON: The Most Popular Coding Language

                                                                Python: The Most Popular Coding Language                                                                 Python: 3rd Largest Meetup Community …

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12

Oct'16

Why Informatica Bigdata Edition is gaining Popularity?

  What is Informatica BDE? Informatica BDE is a joint venture of Informatica Corp and Hortonworks. Informatica BDE lays the foundation of modern data architecture with exemplary integration between ETL tools and Hadoop to its credit. The purpose of Informatica BDE is to guarantee effective extracting, transforming, and loading of data in Hadoop, that in its turn and in its characteristic way has facilitated long-term storage of petabytes of data to an exceptional extreme. Why …

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06

Oct'16

AngularJS – The Master Framework

What is AngularJS? Google Product! Huge Open Community! Appropriate Framework Size and Launching Time! These are a few of the many features that have led AngularJS take lead as a master framework that works wonders. AngularJS is indeed a better performer in comparison to other JavaScript Frameworks such as knockout, note, or jquery – if in case we consider it as a framework in the first place. Though the best turns out to be a …

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03

Oct'16

Salesforce: Meeting the Big Daddy of the CRM

Why Salesforce is considered as a Big Daddy when it comes to CRM? The entire business world welcomed Salesforce, the Big Daddy of the CRM with a hearty embrace when it was launched in 1999. Reasons are obvious! As a Daddy in the house, Salesforce eased out the complexities faced by business houses during the pre-salesforce era. Salesforce enacted a saving grace for businesses which were stifling under the burden of massive investments, hardware expenses, …

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15th Dec - Demo Session - P.Saudagar - Hadoop : 4.00 pm | Data Science : 4.00 pm | Python : 4.00 pm | Informatica : 11.00 am | DevOps : 6.00 pm | Digital Marketing : 10.00 am | Angular jS : 11.30 am | Tableau : 5.00 pm | AWS : 4.00 pm | Nal Stop - AWS : 12.30 pm | Data Science : 10.45 am | Hadoop : 3.00 pm | AWS : 12.30 pm | Digital Marketing : 2.00 pm | Python : 4.00 pm | Data Science : 6.30 pm (Friday) | Kharadi - Data Science : 3.00 pm | Tableau : 11.00 am | Digital Marketing : 5.00 pm | Vashi - DevOps : 11.00 am | Data Science : 5.30 pm | Python : 5.30 pm | AWS : 11.00 am