In 2011 Martin Fowler introduced the polyglot persistence meme, essentially
suggesting that one size doesn’t fit it all in terms of data storage and processing.
In 2012, Nathan Marz suggested the lambda architecture as a flexible and extensible
tool to build large-scale, distributed data processing systems.
To understand where we are regarding these two new data management philosophies
I will discuss and showcase them, based on case studies from our customer base
and the wider community of practitioners. I will show real-world examples from
the financial industry domain, the energy sector as well as the media industries.
Last but not least I will discuss potential impact in the realm of public data sources,
that is concerning government data. In the talk we will elaborate on opportunities
and challenges of these two new data management and processing memes and experience
where and how they overlap.
This session is sponsored by MapR
Michael Hausenblas 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.
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