Skip to main content

What are the Impacts JSON bring in technology

This is the 3rd post of my series article "Is it time to revisit PostgreSQL and MySQL with JSON support"  

There are following impacts json bring in the technologies.

  • NoSQL Document database became popular, mongodb was among one of lucky database vendor. 
  • Technology found JSON as an alternate to xml for data interchange on platform independent.
  • Technology found a supporting for RDBMS to keeping variety of data specially non-structured data in one environment and module.
  • Data explosion and big data came into the platform. The cost on data keeping has rapidly decreased over the last several years, which has resulted in the rapid expansion of genomic data acquisition.  While new database technologies have become common to manage big data.
  • Schema less architecture given support in fast and rapid application development.
  • Polyglot persistence increases the technology surface area enough that it can become quite difficult to monitor, manage, develop, and operate such a diverse set of databases.
  • Polyglot Persistence is a fancy term to mean that when storing data, it is best to use multiple data storage technologies, chosen based upon the way data is being used by individual applications or components of a single application. Different kinds of data are best dealt with different data stores.

Thanks for reading
Plz dont forget to like Facebook Page..

Comments

Popular posts from this blog

History of MySQL from AB Corp to Cloud Database

MySQL was created by a Swedish company, MySQL AB, founded by David Axmark, Allan Larsson and Michael "Monty" Widenius. Original development of MySQL by Widenius and Axmark began in 1994. The first version of MySQL appeared on 23 May 1995. Its name is a combination of "My", the name of co-founder Michael Widenius's daughter,and "SQL", the abbreviation for Structured Query Language. ·          23 May 1995 - First internal release ·          Year 1996 - Version 3 o     Simple CRUD operations o     January 1997 Windows version was released on 8 January 1998 for Windows 95 and NT o     production release 1998, from www.mysql.com ·          Year 2002 - Version 4 o     MyISAM o     unions o     Tracking o     B-trees o     s...

How to recover msdb database from suspect mode

 It was Monday 9 th Jun 47 degr. temperature of Delhi-NCR. Temperature was like boiling me and database. When I reached my office( @ 8.45 am) got an alert from one of Server. “MSDB is in suspected mode” At the same time comes in my mind, this issue will boil me today.. I just tried to cool my self through cold drink then connected server from my local system using windows authentication mode..

How to setup automated export on google cloud sql

We can do backup and restore on instance and DB level both. on-demand backup and automatic backup are possible at instance level only which we can configure Google Cloud Console. Database level there is no options and features available for full and differential backup like SQL server in cloud SQL database. We can do this task with Export feature this is similar to full backup and this we can do from console or portal. If we want to do automated DB export (full backup) then we should design ourselves with the help of services . Google provide some services like Google Function and Scheduler which we can use for this purpose as look like following architecture. Here is following steps which we can use to setup Create a bucket in Google Cloud Storage. Create Cloud Function to export a Cloud SQL database Grant Permission for the Cloud Function to access Cloud SQL export Test out the Cloud Function Create Cloud Scheduler Job to trigger the Cloud Function once a week  For detail or step...