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	<title>Venu Anuganti Blog | Venu Anuganti Blog</title>
	
	<link>http://venublog.com</link>
	<description>All About Data, Databases, Data Architecture, Data Analytics, SQL, NoSQL and Big Data</description>
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		<title>Exploring SAP HANA – Powering Next Generation Analytics</title>
		<link>http://venublog.com/2013/05/02/explore-sap-hana-next-gen-analytics/</link>
		<comments>http://venublog.com/2013/05/02/explore-sap-hana-next-gen-analytics/#comments</comments>
		<pubDate>Thu, 02 May 2013 20:19:37 +0000</pubDate>
		<dc:creator>Venu Anuganti</dc:creator>
				<category><![CDATA[BigData]]></category>
		<category><![CDATA[Data Analytics]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[Database]]></category>
		<category><![CDATA[ETL]]></category>
		<category><![CDATA[Predictive Analytics]]></category>
		<category><![CDATA[Reporting]]></category>
		<category><![CDATA[SAP HANA]]></category>
		<category><![CDATA[Good and Bad about HANA]]></category>
		<category><![CDATA[Hana Analytical Platform Overview]]></category>
		<category><![CDATA[Hana History time travel table]]></category>
		<category><![CDATA[Hana how to use for real time analytics]]></category>
		<category><![CDATA[Hana MDX]]></category>
		<category><![CDATA[Hana Predictive Analysis LIbrary]]></category>
		<category><![CDATA[Hana R integration]]></category>
		<category><![CDATA[Hana Rest API]]></category>
		<category><![CDATA[Important features of SAP HANA]]></category>
		<category><![CDATA[Pros and Cons of HANA]]></category>
		<category><![CDATA[SAP HANA ANALYTICS]]></category>
		<category><![CDATA[SAP HANA features]]></category>
		<category><![CDATA[Sap Predictive Analytics How to]]></category>

		<guid isPermaLink="false">http://venublog.com/?p=1207</guid>
		<description><![CDATA[SAP HANA , having entered the data 2.0/3.0 space at the right time, has been getting traction lately; and there will be lot of users like me who wants to[...]]]></description>
		<wfw:commentRss>http://venublog.com/2013/05/02/explore-sap-hana-next-gen-analytics/feed/</wfw:commentRss>
		<slash:comments>9</slash:comments>
		</item>
		<item>
		<title>How To Extract Events From Splunk – For Analytics &amp; Reporting</title>
		<link>http://venublog.com/2013/04/05/how-to-extract-events-from-splunk/</link>
		<comments>http://venublog.com/2013/04/05/how-to-extract-events-from-splunk/#comments</comments>
		<pubDate>Fri, 05 Apr 2013 08:05:44 +0000</pubDate>
		<dc:creator>Venu Anuganti</dc:creator>
				<category><![CDATA[BigData]]></category>
		<category><![CDATA[Data Analytics]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[Database]]></category>
		<category><![CDATA[ETL]]></category>
		<category><![CDATA[Log processing]]></category>
		<category><![CDATA[Reporting]]></category>
		<category><![CDATA[Scalability]]></category>
		<category><![CDATA[Splunk]]></category>
		<category><![CDATA[Extract events from splunk]]></category>
		<category><![CDATA[How to extract events from splunk]]></category>
		<category><![CDATA[How to generate real-time analytics]]></category>
		<category><![CDATA[How to implement real-time analytics]]></category>
		<category><![CDATA[how to logstash to mysql]]></category>
		<category><![CDATA[how to process events]]></category>
		<category><![CDATA[How to use splunk for real-time stats]]></category>
		<category><![CDATA[how to use splunk rest API]]></category>
		<category><![CDATA[Logstash how to use for parsing specific events]]></category>
		<category><![CDATA[logstash to elasticsearch]]></category>
		<category><![CDATA[logstash to mongodb]]></category>
		<category><![CDATA[logstash to splunk]]></category>
		<category><![CDATA[logstash with splunk]]></category>
		<category><![CDATA[splunk analytics]]></category>
		<category><![CDATA[splunk analytics example]]></category>
		<category><![CDATA[Splunk architecture]]></category>
		<category><![CDATA[Splunk ETL]]></category>
		<category><![CDATA[splunk events extract real-time]]></category>
		<category><![CDATA[Splunk REST API]]></category>
		<category><![CDATA[splunk rest API aggregate functions]]></category>
		<category><![CDATA[splunk rest api curl example]]></category>
		<category><![CDATA[Splunk REST API example]]></category>
		<category><![CDATA[splunk rest api filters]]></category>
		<category><![CDATA[Splunk REST API get event stats]]></category>
		<category><![CDATA[splunk REST API SDK example]]></category>
		<category><![CDATA[splunk search filters]]></category>

		<guid isPermaLink="false">http://venublog.com/?p=1044</guid>
		<description><![CDATA[Splunk is a leading discovery platform used by majority of small-to-medium companies as operational and/or application discovery service. Last week; I was trying to get login stats exposed to BI[...]]]></description>
		<wfw:commentRss>http://venublog.com/2013/04/05/how-to-extract-events-from-splunk/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Data Science vs. Data Analytics</title>
		<link>http://venublog.com/2012/12/10/data-science-vs-data-analytics/</link>
		<comments>http://venublog.com/2012/12/10/data-science-vs-data-analytics/#comments</comments>
		<pubDate>Mon, 10 Dec 2012 19:33:54 +0000</pubDate>
		<dc:creator>Venu Anuganti</dc:creator>
				<category><![CDATA[BigData]]></category>
		<category><![CDATA[Data Analytics]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[Database]]></category>
		<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[MySQL]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[DataAnalytics]]></category>
		<category><![CDATA[DataScience]]></category>
		<category><![CDATA[Difference between data science and data analytics]]></category>
		<category><![CDATA[How to hire data scientist]]></category>
		<category><![CDATA[ROle of data analytics]]></category>
		<category><![CDATA[Role of Data Scientist]]></category>
		<category><![CDATA[What is Data science]]></category>

		<guid isPermaLink="false">http://venublog.com/?p=1002</guid>
		<description><![CDATA[As this topic came up a few times this week for discussion at various places, I thought of composing a post on “Data Scientist vs. Data Analytics Engineer”; even though[...]]]></description>
		<wfw:commentRss>http://venublog.com/2012/12/10/data-science-vs-data-analytics/feed/</wfw:commentRss>
		<slash:comments>59</slash:comments>
		</item>
		<item>
		<title>Distributed Clustering Services</title>
		<link>http://venublog.com/2012/12/02/distributed-clustering-services/</link>
		<comments>http://venublog.com/2012/12/02/distributed-clustering-services/#comments</comments>
		<pubDate>Mon, 03 Dec 2012 06:38:51 +0000</pubDate>
		<dc:creator>Venu Anuganti</dc:creator>
				<category><![CDATA[BigData]]></category>
		<category><![CDATA[Database]]></category>
		<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[MySQL]]></category>
		<category><![CDATA[NoSQL]]></category>
		<category><![CDATA[PostgreSQL]]></category>
		<category><![CDATA[Co-orinating systems]]></category>
		<category><![CDATA[Distributed Clustering]]></category>
		<category><![CDATA[Distributed co-ordination]]></category>
		<category><![CDATA[Distributed systems]]></category>
		<category><![CDATA[HA using Zookeeper]]></category>
		<category><![CDATA[MySQL HA using Zookeeer]]></category>
		<category><![CDATA[Spread]]></category>
		<category><![CDATA[Zookeeper]]></category>

		<guid isPermaLink="false">http://venublog.com/?p=957</guid>
		<description><![CDATA[Apart from my consulting as part of ScaleIn, I also invest to bootstrap companies with really disruptive ideas; and in the process met few database specific companies who are already[...]]]></description>
		<wfw:commentRss>http://venublog.com/2012/12/02/distributed-clustering-services/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>Typical “Big” Data Architecture</title>
		<link>http://venublog.com/2012/11/30/typical-big-data-architecture/</link>
		<comments>http://venublog.com/2012/11/30/typical-big-data-architecture/#comments</comments>
		<pubDate>Fri, 30 Nov 2012 22:15:10 +0000</pubDate>
		<dc:creator>Venu Anuganti</dc:creator>
				<category><![CDATA[BigData]]></category>
		<category><![CDATA[Cloudera]]></category>
		<category><![CDATA[Data Analytics]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[Database]]></category>
		<category><![CDATA[ETL]]></category>
		<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[Mapreduce]]></category>
		<category><![CDATA[MySQL]]></category>
		<category><![CDATA[NoSQL]]></category>
		<category><![CDATA[PostgreSQL]]></category>
		<category><![CDATA[Reporting]]></category>
		<category><![CDATA[Scalability]]></category>
		<category><![CDATA[Big Data Architecture]]></category>
		<category><![CDATA[Big Data Warehouse]]></category>
		<category><![CDATA[Data Architecture]]></category>
		<category><![CDATA[druid]]></category>
		<category><![CDATA[HBase]]></category>
		<category><![CDATA[Hive]]></category>
		<category><![CDATA[Impala]]></category>
		<category><![CDATA[Kognitio]]></category>
		<category><![CDATA[NoSQL and BigData]]></category>
		<category><![CDATA[SAS]]></category>
		<category><![CDATA[sql]]></category>
		<category><![CDATA[Vertica]]></category>

		<guid isPermaLink="false">http://venublog.com/?p=920</guid>
		<description><![CDATA[Here is the typical “Big” data architecture, that covers most components involved in the data pipeline. More or less, we have the same architecture in production in number of places[...]]]></description>
		<wfw:commentRss>http://venublog.com/2012/11/30/typical-big-data-architecture/feed/</wfw:commentRss>
		<slash:comments>113</slash:comments>
		</item>
		<item>
		<title>Microsoft Surface–Quick Review</title>
		<link>http://venublog.com/2012/10/28/microsoft-surfacequick-review/</link>
		<comments>http://venublog.com/2012/10/28/microsoft-surfacequick-review/#comments</comments>
		<pubDate>Mon, 29 Oct 2012 05:55:19 +0000</pubDate>
		<dc:creator>Venu Anuganti</dc:creator>
				<category><![CDATA[Microsoft]]></category>
		<category><![CDATA[Mobile]]></category>
		<category><![CDATA[Surface]]></category>
		<category><![CDATA[Tablet]]></category>
		<category><![CDATA[Windows]]></category>
		<category><![CDATA[Windows8]]></category>
		<category><![CDATA[Microsoft surface review]]></category>
		<category><![CDATA[Surface good and bad things]]></category>
		<category><![CDATA[surface pros & cons]]></category>
		<category><![CDATA[Surface review]]></category>
		<category><![CDATA[Why surface will lead tablet market]]></category>
		<category><![CDATA[Windows 8]]></category>
		<category><![CDATA[Windows RT]]></category>

		<guid isPermaLink="false">http://venublog.com/?p=859</guid>
		<description><![CDATA[Today I brought Microsoft Surface with Windows RT from Microsoft store in Valley Fair mall, Santa Clara, CA. As everyone wrote elsewhere, surprised to see more crowd in Microsoft store[...]]]></description>
		<wfw:commentRss>http://venublog.com/2012/10/28/microsoft-surfacequick-review/feed/</wfw:commentRss>
		<slash:comments>6</slash:comments>
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