Data Governance

Showing 1 - 10 of 121 pages tagged with: Data Governance

First Republic Bank Takes the Denodo Platform Company-Wide to Gain a Unified View over All Lines of Business, with Unprecedented Agility

First Republic prides itself on delivering reliable, personalized service across a diverse variety of financial products, every day.For years, First Republic grew naturally, acquiring and integrating a variety of companies to expand its portfolio, but recently, upper management began to see the need for better collaboration between the bank’s myriad lines of business.First Republic implemented the Denodo Platform, a logical data management platform powered by data virtualization, to centralize data by enabling real-time, logical connections to disparate data sources, without replication....

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Enabling Data Catalog users with advanced usability

Data catalogs are increasingly important in any modern data-driven organization. They are essential to manage and make the most of the huge amount of data that any organization uses. As this information is continuously growing in size and complexity, data catalogs are key to providing Data Discovery, Data Governance, and Data Lineage capabilities.Join us for the session driven by David Fernandez, Senior Technical Account Manager at Denodo, to review the latest features aimed at improving the usability of the Denodo Data Catalog.Watch on-demand & Learn:Enhanced search capabilities using...

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DBTA Report: Data Mesh Adoption: Challenges & Opportunities

Right now, nearly two-thirds of DBTA subscribers have budgeted for initiatives related to modernizing their data platforms and data mesh is at the forefront of many data architecture discussions. Given the ongoing challenges data teams have faced in democratizing data at scale, this is not surprising. More and more enterprises are adopting a “data-as-a-product” mindset, and this means getting data out of silos and into the hands of data consumers through greater self-service capabilities. The decentralized approach of data mesh has emerged as a popular choice for organizations hungry to...

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Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Services Layer

In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.  Tune in and learn:How to use a logical data fabric to build an enterprise-wide...

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Denodo Partner Connect: Technical Webinar - Architect Associate Certification Preparation

The purpose of the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam is to provide organizations that use Denodo Platform 8.0 with a means of identifying suitably qualified data architects who understand the role and position of the Denodo Platform within their broader information architecture.This exam covers the following technical topics and subject areas:Denodo Platform functionality, includingGovernance and metadata managementSecurityPerformance optimizationCachingDefining Denodo Platform use scenariosAlong with some sample questions, a Denodo Sales Engineer will help...

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Gartner Hype Cycle for Finance Data and Analytics Governance 2023

According to this report, “Through 2026, 80% of finance organizations’ advanced analytics investments will fall short of expected ROI because they failed to adapt and modernize their enterprise data governance and management.” It also mentions that, “By 2026, 20% of large enterprises will use a single data and analytics governance platform to unify and automate discrete governance programs.”Are you able to keep up with the changing data governance landscape? Download this report to understand out of these twenty-five (25) technologies compared in this report, which ones will fit your data and...

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Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for the Denodo Platform

This Denodo session explores the power of data virtualization, shedding light on its architecture, customer value, and a diverse range of use cases. Attendees will discover how the Denodo Platform enables seamless connectivity to various data sources while effortlessly combining, cleansing, and delivering data through 5 differentiated use cases.Architecture: Delve into the core architecture of the Denodo Platform and learn how it empowers organizations to create a unified virtual data layer. Understand how data is accessed, integrated, and delivered in a real-time, agile manner.Value for the...

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TDWI Data Points: Internal Data Marketplaces

As many companies use more data for analytics and insights, they want to enrich their data sets for analysis and make data more easily accessible and understandable. One solution to these needs is an internal data marketplace.An internal data marketplace is a platform where data and analytics within an organization are organized, managed, and made accessible to various business units and teams. It collects metadata and provides a centralized location where users can come and find data, promoting collaboration and knowledge sharing among teams.There are several benefits to using internal data...

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TDWI Data Points: Internal Data Marketplaces

As many companies use more data for analytics and insights, they want to enrich their data sets for analysis and make data more easily accessible and understandable. One solution to these needs is an internal data marketplace.An internal data marketplace is a platform where data and analytics within an organization are organized, managed, and made accessible to various business units and teams. It collects metadata and provides a centralized location where users can come and find data, promoting collaboration and knowledge sharing among teams.There are several benefits to using internal data...

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Achieving Scalable Agile Comprehensive Data Management and Governance

Data demands are exploding as organizations democratize access and expand into advanced analytics, artificial intelligence (AI), and machine learning (ML). Distributed data environments are putting stress on data integration, turning today’s labyrinth of pipelines and transformation processes into bottlenecks that affect downstream applications. Pressure is growing on legacy systems and practices, driving higher costs and reducing business value.Data-driven business initiatives depend on scalable, agile, and comprehensive data management and data governance. Fortunately, AI/ML-infused...

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