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Enterprise-ready Python
for Big Data

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Open Data Science

Accelerate Time-to-Value with the Leading Open Data Science Platform

Open Data Science leverages the power and innovation from open source communities to supercharge today’s modern data science teams for faster experimentation and results.

  • 720+ data science packages for interactive data visualizations, machine learning, deep learning and Big Data
  • World-class package, dependency and environment management
Learn more about Open Data Science

Data Science for Big Data

Exploit all your data to drive game changing insights

Data Science for Big Data gives your data science team a way to easily harness your Big Data to identify new and emerging patterns. Now you can exploit the power of your Hadoop and Spark ecosystems with Python through:

  • Cloudera CDH Parcels that make it a snap to deploy Anaconda to Cloudera Clusters
  • Native access to data in HDFS and Amazon S3
  • Distributed computing for data science workloads with native Python using Dask with in-memory persistence/caching

Data Science Intelligence

Supercharge your Data Science with Artificial Intelligence

Data Science Intelligence that empowers your data science team to leverage the latest innovation in deep learning, machine learning, image processing and natural language processing to rapidly discover value from your data.

  • Get easy access to deep learning packages including: theano, tensorflow, neon, h2o, keras plus many more
  • Infuse your data science applications with GPU supercharged deep learning packages

Data Science Collaboration

Empower the data science team with cross-collaboration

Data Science Collaboration makes the team more productive by facilitating reusability and reproducibility of data science assets and models with notebooks. The Anaconda platform streamlines work processes by managing your data science assets - packages, notebooks and conda environments - in a central location providing the team with:

  • Agile & fast experimentation data science
  • Secure & controlled environment
  • Lightweight, interactive collaboration that produces faster results
Learn more about Data Science Collaboration

Self-Service
Analytics

Arm Citizen Data Scientists with Intelligent Applications

Self-Service Data Science empowers business analysts with familiar technology and solutions backed by modern data science, so that analysts can independently contribute to groundbreaking discoveries, new revenue, streamlined operations and much more, driving game-changing results.

  • Use Microsoft Excel® to perform predictive analytics with machine learning on Big Data, along with interactive visualizations
  • Query and transform Big Data leveraging power of Python and R from Microsoft Excel®
  • Explore and interact with data through powerful, easy to understand visualizations using Microsoft Excel®

Data Science Deployment

Move Data Science into Production to Get Results

Data Science Deployment is about getting results that move the needle for your organization and deliver faster time-to-insight.

  • Easily and rapidly deploy, manage and scale models into production
  • Manage and control models, notebooks, packages and environments
  • Boost performance by maximizing all your computational power

Data Science Governance

Control and Manage Data Science Assets

Data Science Governance means enterprises can rest assured that their policies and controls can be complied with for their data science assets. With Anaconda, enterprises can:

  • Authorize access to data science projects and assets
  • Manage and control versions of data science assets
  • Integrate Anaconda platform with your enterprise authentication
  • Leverage a security-vetted Open Data Science platform
  • Access detailed logging of system actions for auditing
Learn more about Data Science Governance