September 08 to 10 2014, Santa Clara, USA.


Speaker "Alvaro Agea" Details

Name :
alvaro agea
Company :
Title :
Big Data Architect
Topic :

META: An Efficient Distributed Data Hub with Batch and Streaming Query Capabilities

Abstract :

Big Data analysis is commonly associated with batch processing of data stored in distributed file systems. The advent of streaming data is exposing the shortcomings of the traditional data analysis. Users aiming to combine both worlds - batch processing and streaming - had to turn to unreliable in-house developments. We propose Stratio META to meet this new need. META is a technology based on a structured NoSQL datastore with advanced indexing capabilities. META includes an efficient query planner designed from scratch. The planner determines which is the optimal path to execute a query and which components should be involved.

Profile :
Alvaro is a specialist in distributed technologies and participates in the design, development and implementation of new architectures that solve Big Data problems. He uses technologies such as Hadoop, Spark, stream processing systems as Storm, NoSQL databases like Cassandra and enterprise search systems like Solr and ElasticSearch. Currently he is in charge of design and architecture at Stratio.

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