Encontrar empresa por:

CLOUDERA

Soluções: Banco de dados, BI, Inteligência artificial, Outros
Comercializações: Representação, Prestação de Serviços
Ambientes: Mainframe, Mobile
Mercados: Finanças, Governo, Manufatura, Saúde, Telecomunicação, Outros

Cloudera Enterprise Data Hub

Descrição:
Cloudera delivers an integrated suite of analytic engines ranging from stream and batch data processing to data warehousing, operational database, and machine learning. Cloudera SDX applies consistent security and governance, enabling users to share and discover data for use across workloads. Fueled by open-source innovation, Cloudera’s data platforms deliver ultimate flexibility so you can focus on your data, your applications, and your business.

Principais funções:
-Multi-function analytics on a unified platform that eliminate silos and speed the discovery of data-driven insights
-A shared data experience that applies consistent security, governance, and metadata
-True hybrid capability with support for public cloud, multi-cloud, and on-premises deployments

Cloudera Data Flow

Descrição:
Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable intelligence.

Principais funções:
DataFlow addresses the key challenges enterprises face with data-in-motion:

Processing real-time data streaming at high volume and high scale
Tracking data provenance and lineage of streaming data
Managing and monitoring edge applications and streaming sources

Cloudera Data Science Workbench

Descrição:
With Python, R, and Scala directly in the web browser, Cloudera Data Science Workbench (CDSW) delivers a self-service experience data scientists will love. Download and experiment with the latest libraries and frameworks in customizable project environments that work just like your laptop. Access any data, anywhere—from cloud object storage to data warehouses, Cloudera Data Science Workbench provides connectivity not only to CDH and HDP but also to the systems your data science teams rely on for analysis.

Principais funções:
For data scientists
Experiment faster. Use R, Python, or Scala with on-demand compute and secure access to Apache Spark™ and Apache Impala™

Work together. Share reproducible research with your whole team

Deploy with confidence. Get to production repeatably and without recoding

For IT professionals
Bring data science to your data. Give your team more freedom while reducing the risk and cost of silos

Secure by default. Leverage common security and governance across workloads

Flexible deployment. Run on-premises or in the cloud