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Unstructured Data

Processing, analyzing, and creating ML models based on unstructured data is critical because over 80% of all enterprise data is unstructured.

Types of unstructured data

There are many types of unstructured data which have their own special sets of characteristics and challenges. The key to successfully processing unstructured data is to understand these characteristics and use specialized libraries that are designed for these data types.

Video Processing

Video & Audio Processing

Pachyderm’s parallel processing engine lets your team tear through huge audio and video datasets 10 to 100X faster than linear processing.

Whether you’re working in Media & Entertainment doing automatic subtitle generation, or dynamic ad insertion into online videos, or processing closed circuit video feeds, or tracking packages and cargo movements, or monitoring industrial machines on factory floors, Pachyderm can help you do it faster and more reliably.

Unstructured video data includes:

  • Streaming videos
  • TV and movies
  • Closed captioned video feeds
  • Call center audio
  • Meeting recordings
  • Weather data
Images

Image Processing

Images are a challenging machine learning use case because you’re dealing with lots of little files, or big binary files. Shoehorning images into databases meant for highly structured data simply doesn’t work well.

Pachyderm lets you rip through big stores of images fast, feeding them to parallelized workers, so you can do everything from finding hidden streets and buildings in satellite imagery, to spotting pedestrians in autonomous vehicle vision systems, to facial recognition for security.

Unstructured image data includes:

  • Satellite imagery
  • Photographs
  • Medical imagery such as CT
  • MRI scans
  • Microscope images
  • Astronomy images

Unstructured Text

Unstructured Text

We’ve known how to deal with structured text for decades, so it’s no surprise that most companies focus on the tried and true database as their backend. But for the tremendous amounts of unstructured text pouring into datacenters, everything from financial reports, to chat logs, to Tweets and Slack posts, databases just don’t work.

Pachyderm’s file system based approach lets you do next-generation NLP, business analytics, legal document analysis and more.

Unstructured text data includes:

  • Novels
  • Wikipedia Pages
  • Tweets
  • Slack
  • Reddit and Discord posts
  • Meeting minutes
  • Legal contracts
Genonic data

Biosciences and Genonics

Healthcare, biotech and pharmaceutical companies looking to leverage the next generation of machine learning to improve their understanding of genetics look to Pachyderm to unlock hidden insights in the universal code of organic life.

Whether you’re doing advanced drug discovery, risk analysis for trials, repurposing existing drugs, or looking for new targets for existing drugs, Pachyderm can help you dramatically speed up your data pipelines and get drugs and cutting edge-therapies to market faster and more successfully.

Unstructured medical data includes:

  • Health reports
  • Clinical reports
  • DNA data
  • Research
  • Published papers

Proven processing of unstructured data

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Data Driven Pipelines

Wrangling unstructured data easily and effectively

Database driven platforms simply don’t provide the right backend to manage the massive amounts of unstructured data your machine learning teams are struggling with right now. To truly unlock the power of your data you need an AI/ML platform that treats unstructured data as a first-class citizen, not an afterthought.


Pachyderm delivers a number of essential features for processing any data with any language:

Work directly with any file type in your code, no schema or complex queries required

Track every version of your code, models and data with automatic versioning and lineage tracking

Supports any tool, framework or language including Python, R, Rust, Java, C++ or BASH

Scales to petabytes of information with highly parallel processing with no extra code, and incremental processing of only new or changed data

Powerful deduplication of data keeps storage costs low regardless of the number or size of files

Runs on any cloud or on-prem environment using standard object stores like S3, Azure Blob Storage, and Google Cloud Storage

Contact us to learn more about how Pachyderm handles Unstructured Data

Database driven platforms simply don’t provide the right backend to manage the massive amounts of unstructured data your machine learning teams are struggling with right now. To truly unlock the power of your data you need an AI/ML platform that treats unstructured data as a first-class citizen, not an afterthought.

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