Companies of all sizes have huge amounts of disparate data to comb through to answer critical business questions. Data engineering is designed to support the process, making it possible for consumers of data, such as analysts, data scientists and executives, to reliably, quickly and securely inspect all of the data available.
Ingest data from internal and external sources, in real-time or batch. Catalog and secure data so that it’s governed and compliant.Monitor and measure data quality and performance.
Cleanse your data and increase its value and usability. Enrich datasets through joining, mapping, and feature creation.Model for various data consumers.Manage workflows for scheduling, audit, performance, and data quality.
Analyze via tooling for analytics, machine learning, and AI.Serve data to applications, processes, or people.Govern the catalog of data, dictionaries, and mappings