Tag Cassandra

Facebook Open Source with Tom Occhino

http://traffic.libsyn.com/sedaily/fb_oss_edited_fixed.mp3Podcast: Play in new window | Download Facebook’s open source projects include React, GraphQL, and Cassandra. These projects are key pieces of infrastructure used by thousands of developers–including engineers at Facebook itself. These projects are able to gain traction because Facebook takes time to decouple the projects from their internal infrastructure and clean up the code before releasing them into the wild. Facebook has high standards for what they are

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FiloDB with Evan Chan

http://traffic.libsyn.com/sedaily/Filodb_Edited.mp3Podcast: Play in new window | Download “The world is becoming more and more interactive, and people want answers right away, so you’re seeing the rise of stream processing and real-time.” Big data is yesterday–fast data is now. FiloDB is a reactive columnar OLAP database that is built on Cassandra and Spark. Today’s guest is Evan Chan, creator of FiloDB. In our discussion today, we talk about the use cases

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Cassandra with Tim Berglund

http://traffic.libsyn.com/sedaily/Cassandra_Edited.mp3Podcast: Play in new window | Download “There isn’t any central node in Cassandra. Every node is a peer, there is no master – there is no single point of failure.” Apache Cassandra can serve as both the real-time data store for online transactional applications, as well as the read-intensive database for data warehousing operations. In order to combine these two use cases into a single database, Apache Cassandra required

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How to Compare Databases

From Chris Schrader’s answer via Quora: Someone could write a 5000 page book on this subject but I’ll do my best at a high level. SQL Databases I break these down into to three basic groups:  Traditional, MPP, columnar,  and an emerging technology called NewSQL. Traditional These are the usual databases that we’ve seen for years.  Some vendors might includeMySQL, PostgreSQL, SQL Server (product), Sybase, Oracle Database, etc.  They comply with

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Architecting Distributed Databases with Fangjin Yang

“The more you’re comfortable with this idea that everything is going to fail, the more you realize that it’s a natural process of distributed systems, and it helps you write and architect better code.”

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Transactions and Analytics with VoltDB’s Ryan Betts

http://traffic.libsyn.com/sedaily/voltdb_rbetts.mp3Podcast: Play in new window | DownloadStreaming pipelines and in-memory analytics are difficult to support with old database systems. VoltDB provides streaming analytics with transactions.     Questions How does VoltDB exemplify Michael Stonebraker’s thesis that one size does not fit all? What is the difference between OLTP and Streaming? How does VoltDB serve the common Zookeeper-Kafka-Storm-Cassandra stack? What trends and requirements among OLTP and OLAP systems are changing most

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