Join MC Brown, VP Products at Continuent, on August 8th for our new webinar on high availability and disaster recovery for MySQL, MariaDB and Percona Server with Tungsten Clustering.
Missed our Tungsten Clustering 6.0 webinar and technical deep di
Learn how Adobe Sign serves its global e-signature customers in the cloud.
In our deep dive, we take a detailed look at the new deploy
Learn how Samsung ARTIK Cloud secures their SaaS revenue by using Tungsten Clustering on cloud-based services.
Apache Cassandra provides a scalable and fast environment for data processing and capture. Because of the scalable and relatively flexible nature, it is being used for everything from product catalogues to data storage for logging and for IoT to log and analyze data. Moving your data into Cassandra from your traditional store?
We had a great webinar on Wednesday looking at how we can use Tungsten Replicator for moving data into Elasticsearch, whether that's for analytics, searching, or reporting.
Elasticsearch provides a quick and easy method to aggregate data, whether you want to use it for simplifying your search across multiple depots and databases, or as part of your analytics stack. Getting the data from your transactional engines into Elasticsearch is something that can be achieved within your application layer with all of the associated development and maintenance costs.
We had a really great session yesterday during the webinar on Amazon Redshift replication, but sadly ran out of time for questions. So as promised, let's try and answer the questions asked now!
Amazon Redshift has been providing scalable, quick-to-access analytics platforms for many years, but the question remains: how do you get the data from your existing datastore into Redshift for processing? Tungsten Replicator provides real-time movement of data from Oracle and MySQL into Amazon Redshift, including flexible data handling, translation and long-term change data capture.
There are many ways of moving data from source databases into your target system. Historically, the Extract, Transform, and Load (ETL) has been the method for moving data effectively between databases and analytics platforms.
What MySQL replication is, what it's not, and when is Tungsten a better choice? Find out Wednesday 10/11, 9:00-9:30 am PDT, at http://bit.ly/2z4wKPA
We will cover topics such as:
What native replication is (and isn’t),
Fan-in/fan-out topologies,
...
