Spark is a widely adopted open source framework that provides a unified interface for analytics and machine learning workloads. Alluxio, originating from the UC Berkeley AMPLab – the same lab as Spark, is an open source data orchestration platform that empowers compute frameworks like Spark by providing stateful caching to enable efficient data sharing between multiple jobs and improving resilience against job failures as well as bringing data together from many different sources, be it remote HDFS or cloud object stores.
Alluxio partnered with IBM to deliver a Spark-based solution to provide fast data analytics. With the integration of IBM Spectrum Conductor, an advanced workload and resource management platform that maximizes hardware utilization to speed results and cut infrastructure costs, Alluxio and IBM delivered a solution that powers leading telecom company’s applications to support 320 million subscribers. In this online meetup, we will present the benefits of the fast analytics stack of Spark on Alluxio and IBM and dive into a leading telecom’s use case of leveraging Spark and Alluxio to process massive amounts of mobile data.
In this online meetup, you will learn about:
- Why the leading companies are moving towards a decoupled compute and storage architecture, and the associated challenges and requirements.
- Why Spark and Alluxio together can solve the challenges and fulfill the requirements
- How leading telecom leverages Spark with Alluxio for fast data processing at scale on top of object store and HDFS
Spark is a widely adopted open source framework that provides a unified interface for analytics and machine learning workloads. Alluxio, originating from the UC Berkeley AMPLab – the same lab as Spark, is an open source data orchestration platform that empowers compute frameworks like Spark by providing stateful caching to enable efficient data sharing between multiple jobs and improving resilience against job failures as well as bringing data together from many different sources, be it remote HDFS or cloud object stores.
Alluxio partnered with IBM to deliver a Spark-based solution to provide fast data analytics. With the integration of IBM Spectrum Conductor, an advanced workload and resource management platform that maximizes hardware utilization to speed results and cut infrastructure costs, Alluxio and IBM delivered a solution that powers leading telecom company’s applications to support 320 million subscribers. In this online meetup, we will present the benefits of the fast analytics stack of Spark on Alluxio and IBM and dive into a leading telecom’s use case of leveraging Spark and Alluxio to process massive amounts of mobile data.
In this online meetup, you will learn about:
- Why the leading companies are moving towards a decoupled compute and storage architecture, and the associated challenges and requirements.
- Why Spark and Alluxio together can solve the challenges and fulfill the requirements
- How leading telecom leverages Spark with Alluxio for fast data processing at scale on top of object store and HDFS
Video:
Presentation slides:
Spark is a widely adopted open source framework that provides a unified interface for analytics and machine learning workloads. Alluxio, originating from the UC Berkeley AMPLab – the same lab as Spark, is an open source data orchestration platform that empowers compute frameworks like Spark by providing stateful caching to enable efficient data sharing between multiple jobs and improving resilience against job failures as well as bringing data together from many different sources, be it remote HDFS or cloud object stores.
Alluxio partnered with IBM to deliver a Spark-based solution to provide fast data analytics. With the integration of IBM Spectrum Conductor, an advanced workload and resource management platform that maximizes hardware utilization to speed results and cut infrastructure costs, Alluxio and IBM delivered a solution that powers leading telecom company’s applications to support 320 million subscribers. In this online meetup, we will present the benefits of the fast analytics stack of Spark on Alluxio and IBM and dive into a leading telecom’s use case of leveraging Spark and Alluxio to process massive amounts of mobile data.
In this online meetup, you will learn about:
- Why the leading companies are moving towards a decoupled compute and storage architecture, and the associated challenges and requirements.
- Why Spark and Alluxio together can solve the challenges and fulfill the requirements
- How leading telecom leverages Spark with Alluxio for fast data processing at scale on top of object store and HDFS
Video:
Presentation slides:
Videos:
Presentation Slides:
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Videos
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