November 2016

28

Nov'16

Informatica ETL: Favourable Job Opportunities and Payscale on Cards!

“Invention is a mother of necessity” True to its core! ETL tools have been invented to meet the necessities of the modern day businesses that are becoming increasingly data-driven and customer-centric in its nature and approach. Contextually, every business wants to retrieve useful insights from the data collected in order to customize their business policies and strategies. Data-driven businesses are in, so are the ETL tools and data warehousing which harness the power of raw …

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14

Nov'16

MongoDB – An Exceptional NoSQL Database

With huge gamut of unstructured data gripping the systems across the world and with the consequent incompetencies of the overflowing RDBMS’, surged the need of an efficient database that excels in storing infinite data with utmost ease and with well-sustained high-level performance. Thus, came in MongoDB – a NoSQL database, literally translating into a “not only SQL” humongous database that steps beyond SQL limitations and outshines every other traditional relational database in terms of high …

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07

Nov'16

Make your Professional Journey MEANingful with MEAN!

Significance of MEAN Stack In the contemporary digital age, web applications are vibrant enough to hypnotize you for a moment. Have you ever thought from where do these applications gain such magnetic powers? It is usually the enthusiastic web developers and mobile app developers who make use of myriad technologies available in the market to make robust applications which are truly engaging and dynamic. One such wondrous stack of technologies is MEAN Stack that makes …

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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