A sound data lake architecture is great for capturing vast amounts of structured and unstructured data, and for exploring data company-wide. But your data lake’s clear waters can become murky if the data isn’t cleaned and organized. If you’re using Amazon or Azure data lakes, conflicting definitions, duplicate values, orphaned bits of gibberish, and disconnected data can prevent your users from seeing below the surface to find the data they need. Use the power and scale of Inzata’s AI to auto-structure and organize your data lake to keep data flowing effectively from source to user. If you’re considering a data lake vs. data warehouse decision, ensure your data lakes organization with powerful and fast AI tools from Inzata.
- Automatically clean data upon ingest – keep bad data out.
- Auto-generate data dictionaries and profiling logs, help users locate the data they need without endless searching.
- Connect any existing data lakes: Azure data lakes, Hadoop data lakes, Cloudera data lakes.