Following is the slides for my talk at WSO2Con San Francisco 2013. It talks about how to use WSO2 BAM and WSO2 CEP to build big data solutions that handles both realtime processing as well as batch processing.
View, Act, and React: Shaping Business Activity with Analytics, BigData Queries, and Complex Event Processing from Srinath Perera
Following is the abstract.
Sun Tzu said “if you know your enemies and know yourself, you can win a hundred battles without a single loss.” Those words have never been truer than in our time. We are faced with an avalanche of data. Many believe the ability to process and gain insights from a vast array of available data will be the primary competitive advantage for organizations in the years to come.
To make sense of data, you will have to face many challenges: how to collect, how to store, how to process, and how to react fast. Although you can build these systems from bottom up, it is a significant problem. There are many technologies, both open source and proprietary, that you can put together to build your analytics solution, which will likely save you effort and provide a better solution.
In this session, Srinath will discuss WSO2’s middleware offering in BigData and explain how you can put them together to build a solution that will make sense of your data. The session will cover technologies like thrift for collecting data, Cassandra for storing data, Hadoop for analyzing data in batch mode, and Complex event processing for analyzing data real time.
Following is the abstract.
Sun Tzu said “if you know your enemies and know yourself, you can win a hundred battles without a single loss.” Those words have never been truer than in our time. We are faced with an avalanche of data. Many believe the ability to process and gain insights from a vast array of available data will be the primary competitive advantage for organizations in the years to come.
To make sense of data, you will have to face many challenges: how to collect, how to store, how to process, and how to react fast. Although you can build these systems from bottom up, it is a significant problem. There are many technologies, both open source and proprietary, that you can put together to build your analytics solution, which will likely save you effort and provide a better solution.
In this session, Srinath will discuss WSO2’s middleware offering in BigData and explain how you can put them together to build a solution that will make sense of your data. The session will cover technologies like thrift for collecting data, Cassandra for storing data, Hadoop for analyzing data in batch mode, and Complex event processing for analyzing data real time.
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