Project Voldemort Blog : Building a terrabyte-scale data cycle at LinkedIn with Hadoop and Project Voldemort
Many of LinkedIn’s products are critically dependent on computationally intensive data mining algorithms. Examples of these include some modules like People You May Know, Viewers of This Profile Also Viewed, and much of the Job matching functionality that we give to people who post jobs on the site. To support these data-intensive products we have begun to move many of the largest offline processi
Project Voldemort Blog : Building Voldemort read-only stores with Hadoop
A well-known lesson in scalability is that writes are 40x more expensive than reads and if your application becomes write-intensive as it is easily the case when you are dealing with sufficiently large number of users, you will be in trouble if you don’t design to scale. For example, if you are using MySQL, you will most likely follow the conventional path of scaling by introducing one of many rep
Project Voldemort
Voldemort is a distributed key-value storage system Data is automatically replicated over multiple servers. Data is automatically partitioned so each server contains only a subset of the total data Server failure is handled transparently Pluggable serialization is supported to allow rich keys and values including lists and tuples with named fields, as well as to integrate with common serialization
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