Apache Ignite as MPP Accelerator
In-memory computing technologies have already changed a lot of IT spheres, from relational databases to data science solutions. But can standalone in-memory grids accelerate traditional enterprise data warehouses (DWH)?
In the talk we will show how Apache Ignite can be used together with world's first open source massive-parallel processing database - Greenplum DB - to give 12x acceleration to the queries.
Subtopics of the talk:
- Why do traditional DWH needs in-memory grid
- Integrating Apache Ignite with Greenplum DB: how to integrate one cluster system with another
- Using the power of in-memory computing with MPP RDBMS: solving typical telecom case
- Working with one object as a key-values storage and SQL table
Speakers
Alexander
Ermakov
CTO
at
Arenadata
Last 10 years I was responsible for different implementation projects of complex data architectures in EMEA. Worked in worldwide companies like Pivotal & DellEMC.
Currently CTO of Arenadata (http://arenadata.tech/en/). We are member of ODPi (https://www.odpi.org/projects), committers of Apache Bigtop, Greenplum & PXF (https://github.com/arenadata).
Currently CTO of Arenadata (http://arenadata.tech/en/). We are member of ODPi (https://www.odpi.org/projects), committers of Apache Bigtop, Greenplum & PXF (https://github.com/arenadata).
