In this talk we will discuss opportunities and challenges of data processing in the context of the Internet of Things (IoT). As the uptake of IoT applications increases, practitioners start to document best practices in terms of processing data from IoT sources from constraint devices to smart phones.
Based on reviews of real-world use cases as well as discussions with peers in the domain, we will discuss requirements for IoT data processing platforms including the ability to process the stream of data from IoT devices natively, dealing with the raw data from said devices, the capability to ensure business continuity as well as to enforce security and privacy. Finally, we will dissect a number of IoT applications, such as the case of a manufacturer offering pro-active maintenance, optimisations of waste management as well as streamlining a supply chain.
This talk is sponsored by MapR Technologies
Michael works at MapR Technologies in the role of Chief Data Engineer EMEA, where he helps people to tap the potential of Big Data. He has a background in large-scale data integration, the Internet of Things, and Web applications and is experienced in advocacy and standardisation. Michael has been using NoSQL datastores and Hadoop in a number of use cases and he shares his experiences with polyglot persistence at public events and via blogs. Michael contributes to Apache Drill, a distributed system for interactive, ad-hoc analysis and query
of large-scale datasets.
For exhibition and sponsorship opportunities, email firstname.lastname@example.org
For information on trade opportunities with O'Reilly conferences, email email@example.com
For media-related inquiries, contact Maureen Jennings at firstname.lastname@example.org
View a complete list of Strata + Hadoop World contacts
©2015, O’Reilly UK Ltd • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com
Apache Hadoop, Hadoop, Apache Spark, Spark, and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries, and are used with permission. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event, which is managed by O'Reilly Media and/or Cloudera.