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How Does Twitter Use Scribe, Hadoop/Pig, HBase, Cassandra, and FlockDB for Data Analytics?

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How Does Twitter Use Scribe, Hadoop/Pig, HBase, Cassandra, and FlockDB for Data Analytics?

· Database Zone ·
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Compliant Database DevOps and the role of DevSecOps DevOps is becoming the new normal in application development, and DevSecOps is now entering the picture. By balancing the desire to release code faster with the need for the same code to be secure, it addresses increasing demands for data privacy. But what about the database? How can databases be included in both DevOps and DevSecOps? What additional measures should be considered to achieve truly compliant database DevOps? This whitepaper provides a valuable insight. Get the whitepaper

Here’s some interesting NoSQL stuff guys. It’s a presentation about how Twitter uses NoSQL for analytics by Kevin Weil (@kevinweil), Analytics Lead, Twitter.

About the presentation

Collecting data (Scribe)
Storing and Analyzing data (Hadoop)
Rapid Learning over Big Data (Pig)

.. and Cassandra, HBase, FlockDB.

For those who are not aware of the said technologies…

Scribe – Log collection framework over Thrift, built and open sourced by Facebook
Hadoop – A software framework that supports data-intensive distributed applications from Apache
Pig – A platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs.
Cassandra – An open source distributed database management system
HBase – An open source, non-relational, distributed database modeled after Google’s BigTable and is written in Java
FlockDB – An open source distributed, fault-tolerant graph database for managing data at webscale

 


 

 

 

Compliant Database DevOps and the role of DevSecOps DevOps is becoming the new normal in application development, and DevSecOps is now entering the picture. By balancing the desire to release code faster with the need for the same code to be secure, it addresses increasing demands for data privacy. But what about the database? How can databases be included in both DevOps and DevSecOps? What additional measures should be considered to achieve truly compliant database DevOps? This whitepaper provides a valuable insight. Get the whitepaper

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