We share Squerall a software for querying large and heterogeneous data

Dear Semantic Webbers,

We are glad to share with you Squerall [1,2] v0.2, a software solution
implementing the so-called Semantic Data Lake. It allows the uniform
querying of heterogeneous and large data directly where it is stored,
without prior data materialization of transformation. Squerall implements
a virtual ontology-based data integration whereby data schemata are mapped
to ontology terms creating a semantic middleware, which is then queried
using SPARQL.

Squerall (from Semantic QUERy ALL) uses two popular query engines for
large scale query execution: Apache Spark and Presto. It uses RML and FnO
for mapping creation. It supports out-of-the-box several data sources,
from CSV to Parquet to so called NoSQL stores e.g. MongoDB and Cassandra
(but also Couchbase and Elasticsearch, experimentally). It is built from
the ground-up with extensibility in mind [3]; more data sources can be
'programmatically' supported with minimal effort and other query engines
can be integrated (e.g., Alluxo, Drill, Impala).

Finally, Squerall comes with a GUI [4] allowing to connect to the data,
create mappings from data schemata, and guide non-SPARQL experts build
correct and supported [5] queries.

We will be happy to help anyone wanting to try it out, and even more
happier, in case someone would like to deploy it in a real use-case.
Contact channels are provided for that purpose, or for any general
feedback.

Kind regards,
Mohamed Nadjib Mami
Fraunhofer IAIS & Bonn University

PS: for those among you who will be attending The WebConf, please come by
to our poster session scheduled on Wednesday 14:00 for a real demonstrator
[2] of Squerall.

[1] [Squerall | Query heterogeneous big data using one query
language](https://eis-bonn.github.io/Squerall/)
[2] [Querying Data Lakes Using Spark and
Presto](https://dgraux.github.io/publications/Squerall_WWW_2019_Demo.pdf)
[3] [Extending Squerall · EIS-Bonn/Squerall Wiki ·
GitHub](https://github.com/EIS-Bonn/Squerall/wiki/Extending-Squerall)
[4] [GitHub - EIS-Bonn/Squerall-GUI: The user interface of Squerall
project](https://github.com/EIS-Bonn/squerall-gui)
[5] [Squerall Basics · EIS-Bonn/Squerall Wiki ·
GitHub](https://github.com/EIS-Bonn/Squerall/wiki/Squerall-Basics#3-sparql-query-interface)

Received on Tuesday, 14 May 2019 15:48:06 UTC