Ali Ghodsi
E1038742
Ali Ghodsi is a computer scientist and entrepreneur best known as the co-founder and CEO of Databricks, a leading data and AI company built around Apache Spark.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ali Ghodsi canonical | 2 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
entrepreneur ⓘ person ⓘ |
| academicDegree | PhD in Computer Science ⓘ |
| affiliation | AMPLab, UC Berkeley (past) NERFINISHED ⓘ |
| associatedWithProject |
Apache Spark
NERFINISHED
ⓘ
Databricks Lakehouse Platform NERFINISHED ⓘ |
| boardMembership | Databricks board of directors ⓘ |
| businessSector |
cloud computing
ⓘ
data and AI ⓘ enterprise software ⓘ |
| coFounderOf | Databricks NERFINISHED ⓘ |
| countryOfBirth | Iran NERFINISHED ⓘ |
| doctoralAdvisor | Göran Kreitz (approximate / research supervision at KTH) NERFINISHED ⓘ |
| educatedAt | KTH Royal Institute of Technology NERFINISHED ⓘ |
| employer |
Databricks
NERFINISHED
ⓘ
UC Berkeley (past) NERFINISHED ⓘ |
| ethnicOrigin | Iranian ⓘ |
| fieldOfWork |
big data
ⓘ
computer science ⓘ data management ⓘ distributed systems ⓘ machine learning infrastructure ⓘ |
| foundedOrganization | Databricks NERFINISHED ⓘ |
| hasRole |
startup founder
ⓘ
technology executive ⓘ |
| knownFor |
Apache Spark ecosystem
NERFINISHED
ⓘ
Databricks NERFINISHED ⓘ |
| languageSpoken |
English
ⓘ
Persian NERFINISHED ⓘ Swedish ⓘ |
| name | Ali Ghodsi NERFINISHED ⓘ |
| nationality | Swedish ⓘ |
| notableWork |
co-founding Databricks
ⓘ
commercialization of Apache Spark ⓘ |
| occupation |
CEO
ⓘ
university lecturer ⓘ |
| position | CEO of Databricks ⓘ |
| publicSpeakerOn |
data and AI strategy
ⓘ
lakehouse architecture ⓘ open source and commercialization ⓘ |
| researchInterest |
cluster computing
ⓘ
resource management in data centers ⓘ scheduling in distributed systems ⓘ |
| residence |
United States of America
ⓘ
surface form:
United States
|
| roleInCompany |
product vision for Databricks
ⓘ
strategic leadership at Databricks ⓘ |
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.