Ingesting raw data into Hadoop is easy, but extracting business value leveraging exploration tools is not. Hadoop is a file system without a data model, data quality, or data governance, making it difficult to find, understand and govern data.
In this webinar, Tony Baer, Principal Analyst of Ovum Research, will address the gaps and offer best practices in the end-to-end process of discovering, wrangling, and governing data in a data lake. Tony Baer will be followed by Oliver Claude who will explain how Waterline Data Inventory automates the discovery of technical, business, and compliance metadata, and provides a solution to find, understand, and govern data.
Attend this webinar if you are:
--A big data architect who wants to inventory all data assets at the field level automatically while providing secure self-service to business users
--A data engineer or data scientist who wants to accelerate data prep by finding and understanding the best suited and most trusted data
--A Chief Data Officer or data steward who wants to be able to audit data lineage, protect sensitive data, and identify compliance issues