This is the third and final post in the series of blog posts for MongoDB replica set backups with Point In Time Recovery (PITR). This will be focused on restores, particularly details on PITR using the full and incremental backups….
Read More >This is the second post in the series of blog posts for MongoDB replica set backups. I’ll try to show you how to properly run incremental backups using the oplog.rs collection. Restores with PITR using the full and incremental backups…
Read More >In this series of blog posts for MongoDB replica sets, I will show you how to properly run full backups using lvm snapshot followed by incremental backups using the oplog. I will also cover restores with point in time recovery…
Read More >In a previous post, I discussed that the APEXExport tool may be the best one to use when exporting APEX applications. You may also have experience using this tool. Today, I’d like to present some alternatives to the APEXExport tool….
Read More >I wanted to export 11.2 database schema and import it into a 19c database; creating the database in archive mode to create a backup of all transactions and allow recovery to any point in time. Since the 19c database did…
Read More >Today is World Backup Day, reminding us of the importance of backups. Here at Pythian we LOVE YOUR DATA and as database consultants we are therefore very much focussed on making sure that our client’s data is always secure and…
Read More >Backups of Oracle Databases can be made directly to s3, without licensing additional software.
Read More >Overview There are times when I need to restore a slave from a backup of a master or another slave, but too many times I have taken the typical approach of taking the backup on the source server and then…
Read More >In a previous post I had mentioned that I was doing a bit of digging into Docker in order to get a better grasp of the technology. Part of that was exploring common administrative tasks. I would venture to say…
Read More >Cassandra is a distributed, decentralized, fault-tolerant system. Data is replicated throughout multiple nodes (centers) across various data centers. The fact that Cassandra is decentralized means that it can survive single or even multi-node failures without losing any data. With Cassandra,…
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