NoSQL time-series applications built with MongoDB frequently need to remove expired or unwanted data. This is especially true in the world of big data. Sub-optimization in this area leads to unnecessary database growth and decreased performance. In addition, the Time To Live (TTL) Index capabilities found in MongoDB may cause significant performance issues.
Register Now!
SPEAKER: Zardosht Kasheff
DATE: Tuesday, May 13th
TIME: 1pm EDT/10am PDT
MongoDB DBAs and database developers facing time-series challenges should attend this webinar to:
- Learn more about the limitations of TTL indexes in MongoDB
- Learn more about the advantages of partitioned collections as used in MySQL
- Discover TokuMX 1.5, a full distribution of MongoDB that uses partitioned collections to improve time-series data collection and increase performance
After attending this webinar, you will be able to optimize your use of TTL indexes and understand the possible performance gains that can be realized with partitioned collections.
