UC Berkeley AMPLab
E705277
UC Berkeley AMPLab was a research lab at the University of California, Berkeley, known for pioneering large-scale data analytics and cluster computing systems that led to influential open-source projects like Apache Spark.
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic research laboratory
ⓘ
big data research lab ⓘ computer science research lab ⓘ |
| abbreviation | AMPLab NERFINISHED ⓘ |
| aim | build scalable, usable data analytics systems ⓘ |
| campus | UC Berkeley campus ⓘ |
| collaboratedWith |
industry partners
ⓘ
open-source communities ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| developed |
Alluxio
NERFINISHED
ⓘ
Apache Mesos NERFINISHED ⓘ Apache Spark NERFINISHED ⓘ BDAS (Berkeley Data Analytics Stack) NERFINISHED ⓘ |
| field |
cloud computing
ⓘ
cluster computing ⓘ computer science ⓘ data analytics ⓘ distributed systems ⓘ machine learning ⓘ |
| focus |
big data systems
ⓘ
large-scale data analytics ⓘ open-source data platforms ⓘ |
| hostInstitution | University of California, Berkeley NERFINISHED ⓘ |
| influenced |
Apache Spark ecosystem
NERFINISHED
ⓘ
modern big data processing frameworks ⓘ |
| knownFor |
Alluxio
NERFINISHED
ⓘ
Apache Mesos NERFINISHED ⓘ Apache Spark NERFINISHED ⓘ BDAS (Berkeley Data Analytics Stack) NERFINISHED ⓘ influential open-source software projects ⓘ pioneering cluster computing systems ⓘ pioneering large-scale data analytics systems ⓘ |
| languageOfWork | English ⓘ |
| locatedIn |
Berkeley
ⓘ
surface form:
Berkeley, California
|
| name | Algorithms, Machines, and People Laboratory NERFINISHED ⓘ |
| notableProject |
GraphX
NERFINISHED
ⓘ
MLlib (Spark machine learning library) NERFINISHED ⓘ Spark SQL NERFINISHED ⓘ |
| partOf |
UC Berkeley Department of Electrical Engineering and Computer Sciences
NERFINISHED
ⓘ
University of California, Berkeley ⓘ |
| researchModel | integration of algorithms, machines, and people ⓘ |
| sponsor |
government research grants
ⓘ
industrial partners ⓘ |
| status | defunct ⓘ |
| successor | RISELab NERFINISHED ⓘ |
| website | https://amplab.cs.berkeley.edu/ ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.