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Apple continues to ‘double down’ on Siri, the Cupertino-base company has published a new job opening for a Siri Hadoop Operations Engineer.

The job description hints at Apple’s intention to ensure is reliable and ready available to users around the world.

According to the job posting:

[quote] Apple is looking for talented Hadoop Systems Administrators to implement, support, and maintain large-scale infrastructures that support the immensely popular Siri application. This person should be willing to put in the extra effort to bring our environment to the next level. It is also important that this individual works well with others, as the Siri team is a strong, collaborative, and dynamic organization.[/quote]

This IBM article goes into details about what the Hadoop system entails.

According to the post, “Apache Hadoop is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance. Rather than relying on high-end hardware, the resiliency of these clusters comes from the software’s ability to detect and handle failures at the application layer.”

Hadoop enables a computing solution that is:

  • Scalable– New nodes can be added as needed, and added without needing to change data formats, how data is loaded, how jobs are written, or the applications on top.
  • Cost effective– Hadoop brings massively parallel computing to commodity servers. The result is a sizeable decrease in the cost per terabyte of storage, which in turn makes it affordable to model all your data.
  • Flexible– Hadoop is schema-less, and can absorb any type of data, structured or not, from any number of sources. Data from multiple sources can be joined and aggregated in arbitrary ways enabling deeper analyses than any one system can provide.
  • Fault tolerant– When you lose a node, the system redirects work to another location of the data and continues processing without missing a beat.

 

By Staff

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