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Berkeley Data Science Group uses 10 technologies like Apache Hadoop, Apache Impala, and Apache Kafka. View Berkeley Data Science Group's complete Tech Stack.

Berkeley Data Science Group Business Intelligence And Analytics Technology

Hadoop is an open-source software framework written in Java for distributed storage and distributed processing of very large data sets.
Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Apache Spark MLlib is an open source, scalable machine learning library, with APIs in Java, Scala, Python, and R.
Apache Storm is a distributed, fault-tolerant, open-source computation system for processing large volumes of high-velocity data.

Berkeley Data Science Group Programming Languages And Frameworks Technology

Apache Impala is an open source MPP (Massively Parallel Processing) SQL query engine for data stored in a computer cluster running Apache Hadoop.
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
MySQL is an open source database that supports scalable web-based and embedded database applications.
NoSQL is an approach to database management system that provides a mechanism for data storage and retreival that is modeled in means other than tabular relations.
Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.

Berkeley Data Science Group Finance And Accounting Technology

Ethereum is an open-source, blockchain-based public distributed computing platform and operating system they are used to codify, decentralize, secure and trade just about anything

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