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Amundsen

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What is Connetra?

Connetra functions as a holistic data catalog solution that equips organizations with in-depth insights into their interconnected data ecosystems, allowing them to create alerts that improve their understanding of data integrity. With Connetra, users can map out the complete data lineage in their organization, which empowers even non-technical users to participate in insightful data exploration. The platform also supports the creation of alerts that help track data accuracy, ensuring that users can keep pace with the ever-evolving data landscape. In addition, Connetra features intuitive search functionalities that allow users to quickly locate the data they need. By leveraging specific keyword searches or exploring related datasets, individuals can seamlessly navigate through and discover relevant data assets. This innovative tool not only transforms the way organizations interact with their data but also fosters a culture of data-driven decision-making across all levels of the organization. Ultimately, Connetra enables businesses to fully leverage their data resources, driving efficiency and strategic growth.

What is Amundsen?

Unlock the potential of your data by fostering confidence for more impactful analysis and modeling. By breaking down barriers between information silos, you can significantly boost productivity. Instantly access insights into your data while also observing how your colleagues are utilizing it. Enjoy a seamless search experience for data within your organization using an intuitive text-based interface. The search functionality leverages an algorithm similar to PageRank, allowing for personalized recommendations based on various factors such as names, descriptions, tags, and user interactions with tables and dashboards. Build trust in your data by depending on automated, curated metadata, which offers comprehensive details about tables and columns, insights on frequent users, timestamps of the latest updates, relevant statistics, and, when allowed, previews of the data. Improve data management efficiency by establishing connections to the ETL jobs and code that create the datasets. Provide clear definitions for table and column descriptions to reduce unnecessary debates about which data to use and the meanings of individual columns. Identify which datasets are most frequently accessed, owned, or bookmarked by your peers, thereby enhancing collaboration. Furthermore, gain insights into popular queries linked to a specific table by examining dashboards created from that dataset, which enhances your analytical capabilities. Ultimately, this holistic strategy ensures that your data-driven choices are informed and anchored in trustworthy information, leading to more effective outcomes.