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All About Data, Databases, Data Architecture, Data Analytics, SQL, NoSQL and Big Data

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Category: NoSQL

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BigData · Database · Hadoop · MySQL · NoSQL · PostgreSQL

5

Distributed Clustering Services

  • December 2, 2012

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[...]

bigdata-scalein-architecture

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

113

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[...]

Database · Hardware · MySQL · Network · NoSQL · Performance

7

Troubleshooting Database Network Problems Using tshark

  • October 10, 2012

Today, one of the MySQL database server response time has been increased within the pool of servers and noticed it was returning the query in 0.20 secs (randomly) as opposed[...]

Database · MySQL · NoSQL · Performance · Scalability · Zynga

24

MySQL At Scale – Zynga Games

  • December 2, 2010

Recently am part of Zynga‘s database team as I was pretty much impressed with company’s database usage. As everyone knows how popular Zynga games like Farmville, Cafe World, Mafia Wars,[...]

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[...]

BigData · Cloudera · Data Analytics · Data Science · Database · Hadoop · Mapreduce · MySQL · NoSQL · Scalability

8

MapReduce – DBInputFormat – Serialization on readers

  • July 19, 2010

Last week I was working on EC2 MySQL server where one of the slave is taking lot of time to catch-up; and only job that is running on that server[...]

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