Organizations with complex data landscapes use Neebo and Looker to connect and find data and other analytics assets, create new data sets, and open these assets in Looker for visualization and further analysis.
Join Bob Page, Neebo Chief Product Officer, and Steve Egan, our Data & Analytics Solutions Engineer on how to empower your analytics team to discover, and find any data in the enterprise, collaborate, and perform ad-hoc analytics with any BI or data science tool.
Neebo, the Virtual Analytics Hub, is a cloud native self-service solution that allows teams of analytics professionals to create, discover, use and share trusted assets in hybrid landscapes. Watch this 1-minute explainer video of Neebo.
This report targets business and technical managers who are responsible for modernizing data environments that consolidate traditional enterprise data and modern big data using on-premises and cloud-based tools and platforms,
Enterprise data management is impossible if you can’t manage, access, and process large amounts of data. Cataloging is one of the key methods used to make search faster, gather “native” knowledge about how the data correlates and interacts in one place, provide a unified view of all datasets, and form a basis for data governance.
Data virtualization is an approach to data management in which all of an organization’s data—including both structured and unstructured data sets (e.g., social media posts, images, videos, rich media, and audio files)—is accessible via a centralized data layer interface.
Very simply, data profiling is the process of analyzing data to understand how it’s structured, what it contains, the relationships between data sets, and how it could potentially be used most effectively.
The core need for collaborative analytics is to increase the analytics team’s knowledge around data. A greater understanding of the analytics assets at their disposal facilitates greater trust, brings new ideas on how to use the analytics, and generally produces faster insights with greater detail and accuracy.