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Amit Piplani

Wednesday, December 29, 2010. Day out with the MongoDB! Non Relational datastore’s have been introduced to provide indexed data storage that is much in higher performance than existing relational database products like MySQL, Oracle, DB2 and SQL Server. They seek to break down the rigidity of the relational model, in exchange for leaner model that can perform and scale at higher levels. 1 Key-value Stores: These systems store values and an index to find them, based on a programmer-defined key. MongoDB is...

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Wednesday, December 29, 2010. Day out with the MongoDB! Non Relational datastore’s have been introduced to provide indexed data storage that is much in higher performance than existing relational database products like MySQL, Oracle, DB2 and SQL Server. They seek to break down the rigidity of the relational model, in exchange for leaner model that can perform and scale at higher levels. 1 Key-value Stores: These systems store values and an index to find them, based on a programmer-defined key. MongoDB is...
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Amit Piplani | amitpiplani.blogspot.com Reviews

https://amitpiplani.blogspot.com

Wednesday, December 29, 2010. Day out with the MongoDB! Non Relational datastore’s have been introduced to provide indexed data storage that is much in higher performance than existing relational database products like MySQL, Oracle, DB2 and SQL Server. They seek to break down the rigidity of the relational model, in exchange for leaner model that can perform and scale at higher levels. 1 Key-value Stores: These systems store values and an index to find them, based on a programmer-defined key. MongoDB is...

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Amit Piplani: Day out with the MongoDB!!!!

http://www.amitpiplani.blogspot.com/2010/12/day-out-with-mongodb.html

Wednesday, December 29, 2010. Day out with the MongoDB! Non Relational datastore’s have been introduced to provide indexed data storage that is much in higher performance than existing relational database products like MySQL, Oracle, DB2 and SQL Server. They seek to break down the rigidity of the relational model, in exchange for leaner model that can perform and scale at higher levels. 1 Key-value Stores: These systems store values and an index to find them, based on a programmer-defined key. MongoDB is...

2

Amit Piplani: December 2010

http://www.amitpiplani.blogspot.com/2010_12_01_archive.html

Wednesday, December 29, 2010. Day out with the MongoDB! Non Relational datastore’s have been introduced to provide indexed data storage that is much in higher performance than existing relational database products like MySQL, Oracle, DB2 and SQL Server. They seek to break down the rigidity of the relational model, in exchange for leaner model that can perform and scale at higher levels. 1 Key-value Stores: These systems store values and an index to find them, based on a programmer-defined key. MongoDB is...

3

Amit Piplani: September 2009

http://www.amitpiplani.blogspot.com/2009_09_01_archive.html

Sunday, September 27, 2009. Posting an article written in Sept 2008 regarding WS-Security and WS-Policy comparison after going through Policy Driven SOA by Sreedhar Kajeepeta. WS-Policy - Will describe the capabilities and constraints of the security (and other business) policies on intermediaries and endpoints (e.g. required security tokens, supported encryption algorithms,privacy rules). WS-Security - Coded as message handler using SAAJ API’s. 4Integrating policies with services. WS-Policy-A policy enf...

4

Amit Piplani: U Pick 2 Selection for NoSQL Providers

http://www.amitpiplani.blogspot.com/2010/05/u-pick-2-selection-for-nosql-providers.html

Thursday, May 6, 2010. U Pick 2 Selection for NoSQL Providers. As per CAP theorem, there are three primary concerns you must balance when choosing a data management system: consistency, availability, and partition tolerance. Consistency means that each client always has the same view of the data. Availability means that all clients can always read and write. Partition tolerance means that the system works well across physical network partitions. Subscribe to: Post Comments (Atom). View my complete profile.

5

Amit Piplani: Features and pitfalls of Google App engine - My perspective

http://www.amitpiplani.blogspot.com/2010/01/features-and-pitfalls-of-google-app.html

Monday, January 25, 2010. Features and pitfalls of Google App engine - My perspective. After migrating Pet Store(Sun's Web application) with JDBC calls to Google App engine with schemalass datastore entities and then re- developing the same as GWT application for Google App engine platform, here are the features and pitfalls from that perspective. 1Components of Google App engine - Sandbox enviornment, DataStore and Services scales independently of each other. 7Logging jars and configurations are part of...

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Migrating Traditional n-tier Web Application Architecture to Amazon AWS | Blue Star Infotech - The Writer's Blog

https://blogs.bsil.com/2010/11/23/migrating-traditional-n-tier-web-application-architecture-to-amazon-aws

Migrating Traditional n-tier Web Application Architecture to Amazon AWS. November 23, 2010. Posted by Tejas Bavishi in Distributed Engineering. Everything Under The Cloud. Traditional n-tier web application architecture. Key Components of AWS Architecture:. The above diagram shows the key components of web application deployment on Amazon Web Services and how they differ from a traditional web hosting architecture. Amazon Cloud Front provides simple caching mechanism for static application assets stored ...

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Now ISO 9001:2008 certified Call : 91 98251 26846 Email : amittube@yahoo.com and info@amitpipetube.com. Amit Pipe and Tube is one of the leading stockist and Dealers for JINDAL, ASIAN, TATA, SURYAPRAKASH, MSL, IMPORTED and OTHER MAKE For the products PIPE and TUBE (ERW/SEAMLESS) ,MS / GI, CARBON STEEL (CS)/ HDPE/ STAINLESS STEEL (SS) .

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Amit Piplani

Wednesday, December 29, 2010. Day out with the MongoDB! Non Relational datastore’s have been introduced to provide indexed data storage that is much in higher performance than existing relational database products like MySQL, Oracle, DB2 and SQL Server. They seek to break down the rigidity of the relational model, in exchange for leaner model that can perform and scale at higher levels. 1 Key-value Stores: These systems store values and an index to find them, based on a programmer-defined key. MongoDB is...

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