With Tableau’s Disaster Recovery method, large deployments can take 10+ hours to backup and same to restore. Even if you back up daily like you should, if disaster strikes you’ll lose a full day of productivity, and a full day of data.
Real-time disaster recovery for Tableau
Palette Rescue continuously streams changes of your active cluster and migrates them to replica clusters (up to five). If there's ever a problem or issue, your team can switch to that second Tableau Server cluster with just one click. Your users are never interrupted by unexpected downtime — they won’t even know there was an issue.
- Eliminate unplanned downtime
- Keep Tableau clusters in sync
- Switchover with no data loss
- Continuously run backups without impacting Tableau performance
- Centralize your backup of multiple clusters
During times of crisis, companies must look at the available data — both internal and external— and try to understand how that data can be used to determine how the business is currently being impacted, how it is likely to be affected in the future, what are most likely scenarios that will play out, what can be done to counter those scenarios and take advantage of hidden opportunities in this rapidly changing environment. The Starschema COVID-19 dataset ingests reliable data from multiple sources and makes it analytics-ready so it can be easily accessed and used.
Keeping your data platforms running with operational efficiency is both paramount and can be a costly and complicated endeavor. Join us and learn how to apply strategies, techniques, and tools to build a reliable and effective DataOps practice in your organization.
During this time of crisis, everyone is searching for answers. Governments, healthcare institutions, non-governmental organizations, and businesses large and small urgently need to make decisions about their future. We believe they should be armed with accurate, easily accessible, analytics-ready data. That’s why we collated, curated, and unified the most credible and reliable public data sets into a single source of truth data set.
In the age of artificial intelligence and machine learning, the standards for data quality have risen but machine learning can aid in cleansing and enriching data. In this webinar, Tamas Foldi, Starschema CTO and Tableau Zen Master presents the latest trends in data quality and enrichment and demonstrates how AI is helping to make cleaning and enriching data easier.