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Category: Data Warehouse

HANA

BigData · Data Analytics · Data Warehouse · Database · ETL · Predictive Analytics · Reporting · SAP HANA

6

Exploring SAP HANA – Powering Next Generation Analytics

  • May 2, 2013

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[...]

whats_new2_dashboards

BigData · Data Analytics · Data Warehouse · Database · ETL · Log processing · Reporting · Scalability · Splunk

2

How To Extract Events From Splunk – For Analytics & Reporting

  • April 5, 2013

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[...]

datanalytics_thumb2.png

BigData · Data Analytics · Data Science · Data Warehouse · Database · Hadoop · MySQL

59

Data Science vs. Data Analytics

  • December 10, 2012

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[...]

bigdata-scalein-architecture

BigData · Cloudera · Data Analytics · Data Science · Data Warehouse · Database · ETL · Hadoop · Mapreduce · MySQL · NoSQL · PostgreSQL · Reporting · Scalability

114

Typical “Big” Data Architecture

  • November 30, 2012

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[...]

Data Warehouse · Database · Performance · PostgreSQL · Scalability

5

PostgreSQL : Slony Replication Lag – Manual Log Tables Cleanup

  • March 12, 2012

If you using slony for PostgreSQL replication for more than one node (multiple replicas or cascading); then occasionally you might experience delays in replication if any one node is lagging[...]

Data Warehouse · Database · MySQL · NoSQL · Scalability

1

Why Kickfire is a fail in MySQL Data warehouse

  • August 4, 2010

Even though Data warehouse is picking very rapidly in the last year or so, but few companies who are already made a right mark in the right time could not[...]

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