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	<title>Database Diary</title>
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		<title>SQLite vs MySQL</title>
		<link>http://dbdiary.com/sqlite-vs-mysql/</link>
					<comments>http://dbdiary.com/sqlite-vs-mysql/#respond</comments>
		
		<dc:creator><![CDATA[Omer Niah]]></dc:creator>
		<pubDate>Tue, 26 May 2015 04:08:03 +0000</pubDate>
				<category><![CDATA[MySQL]]></category>
		<category><![CDATA[SQLite]]></category>
		<guid isPermaLink="false">http://dbdiary.com/?p=8731</guid>

					<description><![CDATA[SQLite is a library that gets embedded inside the application that makes use of. SQLite offers an amazing set of tools to handle all sorts of data. As a self-contained, file-based database SQLite is ease compared to hosted, process based (server) relational databases. On the other hand MySQL is a popular large-scale database server. It [&#8230;]]]></description>
		
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		<title>MySQL: Large VARCHAR vs. TEXT?</title>
		<link>http://dbdiary.com/mysql-large-varchar-vs-text/</link>
					<comments>http://dbdiary.com/mysql-large-varchar-vs-text/#respond</comments>
		
		<dc:creator><![CDATA[Omer Niah]]></dc:creator>
		<pubDate>Mon, 04 May 2015 10:33:16 +0000</pubDate>
				<category><![CDATA[MySQL]]></category>
		<guid isPermaLink="false">http://dbdiary.com/?p=8733</guid>

					<description><![CDATA[If we look at for the first time, then it seems like TEXT and VARCHAR can store the same information. But, there are fundamental differences between the two. The way TEXT fields and VARCHAR fields work are imperative to take into consideration. VARCHAR is actually the part of the ISO SQL: 2003 standard whereas The [&#8230;]]]></description>
		
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		<title>Top 10 query language for JSON</title>
		<link>http://dbdiary.com/top-10-query-language-for-json/</link>
					<comments>http://dbdiary.com/top-10-query-language-for-json/#respond</comments>
		
		<dc:creator><![CDATA[Omer Niah]]></dc:creator>
		<pubDate>Tue, 27 Jan 2015 16:09:36 +0000</pubDate>
				<category><![CDATA[MongoDB]]></category>
		<category><![CDATA[NoSQL]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">http://dbdiary.com/?p=8729</guid>

					<description><![CDATA[JSONiq JSONiq is a query language that is outlined for the widely known JSON data model. The most important conceptions of jSONiq were derived from the hard learnt lesson for over 30 years of relational query systems as well as over 15 years of gained expertise in executing and designing query languages for data that [&#8230;]]]></description>
		
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		<item>
		<title>How does programming language expand itself?</title>
		<link>http://dbdiary.com/how-does-programming-language-expand-itself/</link>
					<comments>http://dbdiary.com/how-does-programming-language-expand-itself/#respond</comments>
		
		<dc:creator><![CDATA[Omer Niah]]></dc:creator>
		<pubDate>Wed, 13 Aug 2014 16:01:25 +0000</pubDate>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Programming]]></category>
		<guid isPermaLink="false">http://dbdiary.com/?p=8724</guid>

					<description><![CDATA[Firstly we need to know that what a programming language is. Group of instructions is known as program. Any language for expressing a set of detailed instructions for a digital computer is a programming language. A programming language is designed to help process certain kinds of data consisting of numbers characters and strings and to [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
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		<item>
		<title>When to use CouchDB over MongoDB and vice versa</title>
		<link>http://dbdiary.com/when-to-use-couchdb-over-mongodb-and-vice-versa/</link>
					<comments>http://dbdiary.com/when-to-use-couchdb-over-mongodb-and-vice-versa/#respond</comments>
		
		<dc:creator><![CDATA[Omer Niah]]></dc:creator>
		<pubDate>Wed, 13 Aug 2014 11:27:15 +0000</pubDate>
				<category><![CDATA[MongoDB]]></category>
		<category><![CDATA[NoSQL]]></category>
		<guid isPermaLink="false">http://dbdiary.com/?p=8726</guid>

					<description><![CDATA[There are number of serious discussions over NoSQL database for the high performance distributed web applications. At present there are only two main contenders in the race. One is the MongoDB and the other one is CouchDB. If you are the one to care about the data and most of the time having the data [&#8230;]]]></description>
		
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		<title>How to Undo the last Git commit</title>
		<link>http://dbdiary.com/how-to-undo-the-last-git-commit/</link>
					<comments>http://dbdiary.com/how-to-undo-the-last-git-commit/#respond</comments>
		
		<dc:creator><![CDATA[Omer Niah]]></dc:creator>
		<pubDate>Mon, 11 Aug 2014 14:22:44 +0000</pubDate>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[git]]></category>
		<category><![CDATA[Java]]></category>
		<category><![CDATA[php]]></category>
		<guid isPermaLink="false">http://dbdiary.com/?p=8720</guid>

					<description><![CDATA[The tutorial discussed below provides with all the necessary skills that are required to work with a software project. In this tutorial we shall learn about undoing the last Git commit. At any stage you may arrive with a query in mind of undoing something. This is a human tendency which makes up the mind [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
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		<item>
		<title>SQL versus noSQL (Speed)</title>
		<link>http://dbdiary.com/sql-versus-nosql-speed/</link>
					<comments>http://dbdiary.com/sql-versus-nosql-speed/#respond</comments>
		
		<dc:creator><![CDATA[Omer Niah]]></dc:creator>
		<pubDate>Tue, 05 Aug 2014 14:13:59 +0000</pubDate>
				<category><![CDATA[NoSQL]]></category>
		<category><![CDATA[SQL]]></category>
		<guid isPermaLink="false">http://dbdiary.com/?p=8718</guid>

					<description><![CDATA[SQL is the abbreviation to Structured Query Language. It is a language widely used to create and manage DataBase Management Systems or DBMS. The use of SQL is a sequel to the relational model databases emerged in the 70’s. SQL databases are essentially relational model databases and they have a relationship between the data. The [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
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		<title>How Massively Parallel Processing databases works?</title>
		<link>http://dbdiary.com/how-massively-parallel-processing-databases-works/</link>
					<comments>http://dbdiary.com/how-massively-parallel-processing-databases-works/#respond</comments>
		
		<dc:creator><![CDATA[Omer Niah]]></dc:creator>
		<pubDate>Sun, 05 Jan 2014 15:27:56 +0000</pubDate>
				<category><![CDATA[Database]]></category>
		<guid isPermaLink="false">http://dbdiary.com/?p=8712</guid>

					<description><![CDATA[MPP in a nutshell is a distributed processing architecture in a data warehouse world what it means is that a cluster of servers work together as single machine to distribute the work load between data nodes thus it speed up processing queries in the server and give you the result faster than a normal data [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
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		<title>Difference between Servlet and JSP</title>
		<link>http://dbdiary.com/difference-between-servlet-and-jsp/</link>
					<comments>http://dbdiary.com/difference-between-servlet-and-jsp/#comments</comments>
		
		<dc:creator><![CDATA[Omer Niah]]></dc:creator>
		<pubDate>Sat, 04 Jan 2014 14:26:10 +0000</pubDate>
				<category><![CDATA[Java]]></category>
		<guid isPermaLink="false">http://dbdiary.com/?p=8710</guid>

					<description><![CDATA[As a newbie programmer with java web world you will be facing this dilemma identifying difference between JSP and Servlet that experience programmer talk about or you read it in books, so let’s get started I’m going briefly over what servlet and JSP gives you individually and their pros and cons. Java Server Pages JSP [&#8230;]]]></description>
		
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			<slash:comments>1</slash:comments>
		
		
			</item>
		<item>
		<title>Key difference between  PIG Latin and SQL</title>
		<link>http://dbdiary.com/key-difference-between-pig-latin-and-sql/</link>
					<comments>http://dbdiary.com/key-difference-between-pig-latin-and-sql/#comments</comments>
		
		<dc:creator><![CDATA[Omer Niah]]></dc:creator>
		<pubDate>Fri, 03 Jan 2014 13:43:28 +0000</pubDate>
				<category><![CDATA[Hadoop]]></category>
		<guid isPermaLink="false">http://dbdiary.com/?p=8707</guid>

					<description><![CDATA[Pig is nothing but “High-level data flow scripting language” what I mean by high-level is that PIG will take care of all those low level programming that you need to write when using MapReduce to run your jobs in Hadoop Cluster as in MapReduce you need to write a lots of Java code to talk [&#8230;]]]></description>
		
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