“Loblaw is Canada's food and pharmacy leader, and we are excited to be an early adopter of Dataplex. Kumar Menon, SVP, Data Fabric & Decision Science Technology, Equifax. Dataplex aligns well with our enterprise data strategy and we are excited to partner with Google Cloud on this.”
Its built-in data discovery and data quality features will ensure that our data scientists and analysts always have access to high quality data that they can trust.
“Dataplex will greatly simplify the existing analytics workflows within Equifax with its unified data fabric and single interface for policy management and governance across all our analytics data. Take advantage of the built-in data intelligence using Google’s best in class AI/ML capabilities to automate much of the manual toil around data management and get access to higher quality data.Įarly customers like Equifax, Loblaw, and ANZ are excited about using Dataplex to address data management complexity. With built-in data intelligence using Google Artificial Intelligence (AI) and machine learning (ML) capabilities and a flexible consumption model, you can now spend less time wrestling with infrastructure and more time focused on driving business outcomes.Īchieve freedom of choice to store data wherever you want for the right price/performance and choose the best analytics tools for the job, including Google Cloud and open source analytics technologies such as Apache Spark and Presto.Įnforce consistent controls across your data to ensure unified security and governance Today we are excited to announce Dataplex, an intelligent data fabric that provides a way to centrally manage, monitor, and govern your data across data lakes, data warehouses and data marts, and make this data securely accessible to a variety of analytics and data science tools.ĭataplex provides an integrated analytics experience, bringing together the best of Google Cloud and open source tools, so you can rapidly curate, secure, integrate, and analyze data at scale. They are often forced to make tradeoffs-to move and duplicate data across silos to enable diverse analytics use cases or leave their data distributed but limit the agility of decisions.
Enterprises are struggling to make high quality data easily discoverable and accessible for analytics, across multiple silos, to a growing number of people and tools within their organization.
0 kommentar(er)
