Are you looking to define a development strategy for your organization based on the best practices? Thinking about how to establish a structure for your project? Are you modeling the metadata in the right way?
Join Varun Prasan Keshar (Data Engineer, Denodo) to get directions on how different development strategies can be implemented with Denodo along with the Best Practices.
This session would revolve around the following topics:
- Organizing Projects with Denodo
- Structuring the Metadata
- View Development
What is the best way to manage metadata promotion? How do organizations seamlessly promote the metadata, users, and their permissions? How can administrators guarantee the stability of the service in the event of failure?
Join us for this session with María Sordo, Technical Account Manager, Denodo, and get key insights on how to promote the metadata using Solution Manager and walk away with best practices and practical tips.
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Data Scientists are often in need of data from many datasets to get proper insights for their AI / ML needs. Even if they figure out the location of their datasets, accessing, transforming and having the ability to store in a single place for frequent access is often difficult and time intensive. With Denodo Platform, you can easily apply the transformations and then make it available for your end users. Additionally, you can also automate this process using our Scheduler jobs.
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Self-service Analytics BI is often quoted by many - ie, allow users to discover and access data without having to ask IT to create a data mart, or by allowing users to directly export/copy the data from the data sources themselves into their analytics tools and systems.Watch on-demand
Companies with corporate data lakes also need a strategy for how to best integrate them with their overall data fabric. To take full advantage of a data lake, data architects must determine what data belongs in the Lake vs. other sources, how end users are going to find and connect to the data they need as well as the best way to leverage the processing power of the data lake. This webinar will provide you with a deep dive look at how the Denodo Platform for data virtualization enables companies to maximize their investment in their corporate data lake.Watch on-demand
Achieving the goals of real time analytics in today's increasingly complex enterprise data environments poses numerous challenges. Most organizations today require efficient access to integrated data assets across a wide variety of on-prem and cloud data sources.Watch on-demand
Many businesses are moving to the Cloud. This process can take many years with data spanning On-Prem and Cloud. When Denodo needs to be deployed in a Hybrid Cloud Architecture, how should one implement that?
Join this session to get a deep dive look at how to create a shared Virtual Database that exposes a consistent Semantic Model using Denodo’s Interfaces. Both On Prem and Cloud will have their own Virtual Databases.
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In Gartner's 2020 research paper: Demystifying the Data Fabric, Gartner discusses that the core of the data fabric is able to consolidate many diverse data sources in an efficient manner by allowing trusted data to be delivered from all relevant data sources to all relevant data consumers through one common layer.Watch on-demand
Change is the only constant and it is very important for enterprises to keep up with the changing times in an agile fashion. To ensure faster time to market, quick business insights and rapid data driven decision making, it is important that the Data Delivery channel is optimized in the best way possible.Watch on-demand
Data Scientists spend most of their time looking for the right data and massaging it into a usable format. How can the Denodo platform enable the data scientist and data engineer?Watch on-demand