
NDP004: Querying with NoSQL
05/16/16 • 32 min
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In this podcast episode I'm joined by colleagues, Keshav Murthy who is the Director of Query and Prasad Varakur who is the Product Manager for N1QL at Couchbase.
The goal of this episode is to discuss how querying works in a NoSQL database, what options are available to you, and how it differs from that of a relational database.
For any questions related to this episode, direct them to [email protected].
In this podcast episode I'm joined by colleagues, Keshav Murthy who is the Director of Query and Prasad Varakur who is the Product Manager for N1QL at Couchbase.
The goal of this episode is to discuss how querying works in a NoSQL database, what options are available to you, and how it differs from that of a relational database.
For any questions related to this episode, direct them to [email protected].
Previous Episode

NDP003: Switching from a Relational Database to NoSQL
In this episode I am joined by a company that was once using an Oracle RDBMS and has since switched entirely to using NoSQL. I am joined by Tom Coates, who is a Senior Principal Architect at Nuance.
I interview Tom to find out more information regarding how they were using Oracle at Nuance and what were the driving factors in why they switched completely to a new and completely different database platform. In this episode you'll learn more about the type of data being stored, the complete transition process, and any difficulties that came up along the way.
If you have questions regarding todays episode or for the guest speaker, send an email to [email protected]. You'll either receive a response via email or have your question answered in a future episode.
You can learn more about Nuance by visiting http://www.nuance.com
Next Episode

NDP005: Big Data and Where it Fits with NoSQL
In this episode I'm joined by Anand Iyer from Cloudera and we chat about widely used Big Data platforms and technologies. For example, we discuss Hadoop and its underlying MapReduce technology. We also talk about Apache Spark and what it brings to the table in comparison to Hadoop.
Anand does a great job at getting into the fine technical details for all the technologies discussed in the episode.
If you have any questions regarding this episode, send them to [email protected].
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