Best Unstructured Data Analysis Tools for Databricks Data Intelligence Platform

DataChain connects your unstructured cloud files with AI models, APIs and foundational models to enable instant data insights. Its Pythonic stack accelerates the development by tenfold when switching to Python-based data wrangling, without SQL data islands. DataChain provides dataset versioning to ensure full reproducibility and traceability for each dataset. This helps streamline team collaboration while ensuring data integrity. It allows you analyze your data wherever it is stored, storing raw data (S3, GCP or Azure) and metadata in inefficient datawarehouses. DataChain provides tools and integrations which are cloud-agnostic in terms of both storage and computing. DataChain allows you to query your multi-modal unstructured data. You can also apply intelligent AI filters for training data and snapshot your unstructured dataset, the code used for data selection and any stored or computed meta data.

Databricks Unity Catalog, the only open and unified governance solution in the industry for data and AI that is built into the Databricks Data Intelligence Platform, is the only one of its kind. Unity Catalog allows organizations to seamlessly govern structured and unstructured information in any format. This includes machine learning models, notebooks and dashboards as well as files and files stored on any cloud or platform. Data scientists, analysts, engineers, and other professionals can securely discover, access and collaborate on trusted AI assets across platforms. This will boost productivity and unlock full potential of the Lakehouse environment. This open and unified approach to governance accelerates data and AI projects and simplifies regulatory compliance. Discover and classify structured and unstructured information in any format including machine learning models and notebooks.