The Young DBA

The database developers/DBAs go through the task of database migration very often in various projects. Most of the times, such tasks have source and destination using the same technology, for example, MS SQL Server to MS SQL Server or MySQL to MySQL, etc. But, in some challenging projects, we encounter some situations in which, the source and destination technologies differ, leaving us in a mess, for example, MySQL to MongoDB, etc. Even this situation can be handled, where we have to migrate from structured to non-structured database technology. But, when it comes to move data from non-structured to structured technology, it becomes a tedious task, for example, MongoDB to MySQL.  As a database developer, I was working on one such project where I was required to migrate data from MongoDB to MySQL. I tried the following steps at the initial level for connecting the source (MongoDB) to destination (MySQL) using Python Requirements : 1. Python 2.7 2. MongoDB 3.2 3. MySQL 5.7 4. My

Friends after a long time, I am writing a blog. I was away for last 3 months, due to one of the critical projects assigned to me from the client. Recently, we have moved a young elephant into a new and big room. Yes friends, elephant is a single Big-table of around 700+ GB data size and the room is of 5 TB storage with SQL Server 2014 version. Earlier, we had limited resources, older SQL version and huge data, which were altogether making system hell .