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This post continues our series in which we want to provide an overview of what we do and how our webinars fit into it. All of our webinars are available on demand, so if we peak your interest with any of these posts, you can request a free recording. Read on and watch the webinars to get convinced. and metaphactory 4.3.
This is in stark contrast to the vast number of organizations that previously utilized on-premise discovery solutions and metadata management tools. More than any other BI metadata management tool out there, cloud automation offers the best way for teams to connect remotely and manage projects.
Organizations are turning to the cloud and automated metadata management tools to successfully manage their business’s data. Hear real use cases of BI teams who are leveraging metadata management automation on the cloud while working remotely Check out our webinar "BI During COVID-19." Watch the Webinar.
Source: AmFam webinar with Alation: Driving Business Value from Governance Programs with Alation. When we began, we had a very technical and archaic tool, an enterprise metadata management platform that cataloged our assets. In other words, we sought to build a data culture and needed some guidance. About American Family Insurance.
Let’s start with automated tools that foster the seamless interaction of multiple metadata best practices, such as data discovery, data lineage and the use of a business glossary. Here is an overview of how automated metadata management makes your business intelligence smarter. Watch the webinar!
Improving data intelligence through the automation, distribution, stewardship, and effective use of business and technical processes and metadata will certainly alleviate many of the pain points associated with governing data. Viewing and interacting with content can be rewarded to encourage people to become more data literate.
They recommend and expand queries, thereby improving the users experience of Sisense NLQ , which allows users to ask questions of their data in straightforward language and interact with it themselves. YL: We’re interested in metadata. New people interact with the data. You can click here to view the entire webinar on demand.
They value NiFi’s visual, no-code, drag-and-drop UI, the 450+ out-of-the-box processors and connectors, as well as the ability to interactively explore data by starting individual processors in the flow and immediately seeing the impact as data streams through the flow. . Interactivity when needed while saving costs.
On January 4th I had the pleasure of hosting a webinar. The webinar was very popular and I was not able to respond to all the questions during the live recording. You can of course listen and watch the webinar from this link. Hopefully this helps, and I hope you enjoy/enjoyed the webinar. It really does. Great idea.
For example, you can provide a more precise definition of what you offer as well as additional metadata such as the countries/regions where you offer your services, screenshots of your products and success stories for consultancies. Within the questionnaire, you will find a form to add and promote your webinars and success stories.
Support for unstructured audio and video data The addition of support for unstructured audio and video content will help enterprises extract and analyze customer data from previously inaccessible audio and video sources like customer calls, training sessions, product demos, feedback surveys, voicemails, and webinars, Auradkar explained.
As use cases matured, we saw the need for both efficient, interactive BI analytics and transactional semantics to modify data. It added metadata that described the logical and physical layout of the data, enabling cost-based optimizers, dynamic partition pruning, and a number of key performance improvements targeted at SQL analytics.
As use cases matured, we saw the need for both efficient, interactive BI analytics and transactional semantics to modify data. It added metadata that described the logical and physical layout of the data, enabling cost-based optimizers, dynamic partition pruning, and a number of key performance improvements targeted at SQL analytics.
Hear from FCSA How Automated Data Lineage and Discovery Accelerated Their Impact Analysis Research One Day instead of One Hundred Watch the Webinar. With Octopai’s suite of metadata management tools in place, the BI team had a central location for data lineage. Manual Data Mapping Slows Progress for BI & Analytics Teams.
It delivers the ability to capture and unify the business and technical perspectives of data assets, enables effective collaboration between a variety of stakeholders, and delivers metadata-driven automation to accelerate the creation and maintenance of data sources on virtually any data management platform. by Quest ®.
The table metadata is stored next to the data files under a metadata directory, which allows multiple engines to use the same table simultaneously. CDW separates the compute (Virtual Warehouses) and metadata (DB catalogs) by running them in independent Kubernetes pods.
To answer this question, I recently joined Anthony Seraphim of Texas Mutual Insurance Company (TMIC) and David Stodder of TDWI on a webinar. Watch the webinar now: Maximize Your Migration – Keys to Successfully Migrate to the Data Cloud. They also added a modern data catalog, so that everyone could see and interact with the data.
This next installment in our series of posts dedicated to Ontotext webinars has been long overdue. All of our webinars are available on demand, so if we pique your interest with any of these posts, you can request a free recording. To be able to interact with such systems, we need the proper tooling for it.
Watch the webinar here.). As an example, let’s consider how a typical business user interacts with data without the right technology: She first asks an analyst for it. Metadata (or data about data) is key. Alation helps you understand your data assets through valuable metadata. Our Joint Solution: How Customers Benefit.
The Azure Analytics browser is an interactive tool offered on the website and includes ALL participants of the Azure Analytics ecosystem. We update the Azure Analytics browser (software, service partners, success story) as well as the webinar database every 2 weeks. Additionally, you can promote your webinars for free.
Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. Additionally, it can be used to create interactive visualizations that illustrate complex trends and make them easier to understand. Research and select the right tools for your organization.
It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. You can see it On Demand here. Moving to Modern. Answer: Better than every other vendor?
For example, you can provide a more precise definition of what you offer as well as additional metadata such as the countries/regions where you offer your services, screenshots of your products and success stories for consultancies. Within the questionnaire, you will find a form to add and promote your webinars and success stories.
Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. Additionally, it can be used to create interactive visualizations that illustrate complex trends and make them easier to understand. Research and select the right tools for your organization.
One must also capture the vast quantity of metadata around the OLTP business requirements that must be reflected. Watch the webinars : erwin Data Modeling 101-401 for the cloud. Hear about product roadmaps, new features/enhancements, interact with product experts, learn about customer successes and build and strengthen relationships.
This dramatically simplifies the interaction with complex databases and analytics systems. Join us as we demystify the methodologies empowering such implementations, shed light on their range of capabilities, and detail how Ontotext is harnessing these technologies to bring transformative enhancements to our data interaction landscape.
As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. Embedded Analytics Drive Successful Consumer Applications Consumer web applications have transformed how people use and interact with data.
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