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As the importance of our data continues to grow, so does our need to scale its use, be it for performance, resilience or reasons of data locality, the need to architect solutions and find technologies to support this demand for data at scale is increasingly important. If we look at the way cloud giants use their data, it's clear that "traditional" database methods are not going to be suitable and of course it's not just "cloud giants" who need their data at scale, today, enterprises of all types need to be able to present their data with the same scale, flexibility and resilience. One widely adopted way of doing this is using Apache Cassandra as a database technology. But why? and how does Cassandra differ from our traditional on-prem solutions such as SQL and Oracle? That is the topic of this week's Tech Interviews as Patrick Callaghan, Solutions Architect at Datastax joins me to provide an intro to Cassandra as a database technology, how it works and why it's becoming the database of choice in the modern webscale world. In this episode we discuss; *Cassandra's beginning at Facebook * Why you may need a scalable, distributed database * What challenges does it bring * Why automation at your busiest times is perhaps not the answer * Webscale database use cases * Where Datastax can help Patrick is a great guest and provided a fantastic intro to the world of Cassandra and what it can mean for the way we handle data in this distributed, webscale world. Next week we start a brief series talking with Cloud Architects and Migration specialists about making a success of Public Cloud Projects, too make sure you catch that show then please subscribe in all of the usual podcast places and until next time, Thanks for listening. Full show notes are here:


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