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sqlserverinterviews

NoSQL 26

March 12, 2016

NoSQL: Data Model, What is the Document Based Store Database (Day 6)

March 11, 2016

NoSQL: Data Model, What is the Key Value Store Database (Day 5 )

March 10, 2016

NoSQL: Data Model, What is the Column Family Store (Day 4)

March 9, 2016

NoSQL: Relational Database – RDBMS vs. NoSQL, What do you think? (Day 3)

March 8, 2016

NoSQL: Choose for Better Performance, Scalability, High Availability, and Flexibility (Day 2)

 
March 7, 2016

NoSQL: The latest buzzword in Data Science, What is NoSQL? (Day 1)

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MySQL !
MySQL: The ARCHIVE Storage Engine, store large amounts of unindexed DATA
MySQL: How to Log General and Long Running Queries into Log Table
MySQL: Why InnoDB Engine stores all databases in one file (ibdata1)?
row_number and partition by in Mysql
MySQL 5.5: How to configure and enable Performance Schema Engine?
MySQL Query Cache Part II/II
MySQL: Procedure Variable vs Session specific User Defined Variable (@variable vs variable)
PostgreSQL !
PostgreSQL: Copy Database to another Server in Windows (pg_dump – backup & restore)
PostgreSQL: Track ALL SQL Query Execution Statistics using pg_stat_statements Extension (Day 1/2)
PostgreSQL: Create Audit Trigger, for logging or Auditing your Database DML Transactions
PostgreSQL: Tuning Checkpoint Parameters to Increase the Performance of Bulk Data Load
PostgreSQL 9.6: Introduced pg_config system view to paths and compilation details
PostgreSQL: Network Address Type – INET to IP Addresses (IPv4, IPv6)
PostgreSQL: Stop the new User from creating a new Table
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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