Apache Spark
Technology, Information And Internet
Berkeley, Ca, United States
12 employees
- Employees
- 12
Apache Spark Overview
- Headquarters
- Berkeley, Ca, United States
- Website
- spark.apache.org
- Industry
- Technology, Information And Internet
- Employees
- 12
About Apache Spark
Apache Spark™ is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. Key Features - Batch/streaming data Unify the processing of your data in batches and real-time streaming, using your preferred language: Python, SQL, Scala, Java or R. - SQL analytics Execute fast, distributed ANSI SQL queries for dashboarding and ad-hoc reporting. Runs faster than most data warehouses. - Data science at scale Perform Exploratory Data Analysis (EDA) on petabyte-scale data without having to resort to downsampling - Machine learning Train machine learning algorithms on a laptop and use the same code to scale to fault-tolerant clusters of thousands of machines. The most widely-used engine for scalable computing Thousands of companies, including 80% of the Fortune 500, use Apache Spark™. Over 2,000 contributors to the open source project from industry and academia. Ecosystem Apache Spark™ integrates with your favorite frameworks, helping to scale them to thousands of machines.
Apache Spark Contact Details
- People in AeroLeads
- 4
Apache Spark Org Chart
Sample employees and titles| Name | Title | Location | Contact |
|---|---|---|---|
| Hyukjin Kwon | Asf Member, Apache Spark Pmc Member and Committer. I Am Not Interested in Switching Companies. I Believe This Company Has Great Potential |
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| Yaohua Zhao | Senior Software Engineer at Databricks |
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| Shivam Bellale | Data Engineer | Nagpur, Maharashtra, India |
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| Calili Dos Santos Silva | Data Engineer @ Xp Inc. - Data Science - Machine Learning Engineer - Python - SQL - R - Spark - Databricks - Devops | Jequié, Bahia, Brazil |
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Employees by Management Level
Individual contributor
3 profiles
Senior / Lead
1 profile
Apache Spark Tech Stack
Data / AI
2 profiles
Engineering
1 profile
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