October 27, 2022
A data infrastructure depends on pipelines to deliver data seamlessly to the right users, algorithms, and applications at the right time and in the right condition.
Today’s organizations want to tap hundreds if not thousands of data sources, with new sources becoming available all the time. Diverse use cases drive new data curation and processing requirements. Organizations need to control access to sensitive data and ensure adherence to rules and regulations governing data use and sharing.
Data pipelines are essential to delivering data for daily business decisions, analytics (including AI/ML), and data-driven applications. They require continuous modernization so they can take advantage of the latest tools and data processing platforms. Otherwise, pipelines can become difficult and costly legacy problems that thwart data-driven objectives.
This TDWI Playbook focuses on solving data pipeline challenges so you can grow your organization’s data infrastructure with confidence and future-proof it to handle new data and use cases.