Data Security

Showing 1 - 10 of 31 pages tagged with: Data Security

Expert Panel: Data Democratization - Empowering Every Decision-Maker

In the rapidly evolving landscape of data and analytics, the concept of data democratization has emerged as an important strategy for companies seeking to harness the full potential of their data. By breaking down traditional barriers to data access and understanding, data democratization can catalyze growth and innovation.This TDWI Expert Panel webinar explores the opportunities and challenges for data democratization, focusing on the tools, technologies, and organizational strategies that can facilitate democratization. The discussion will include the key steps and considerations necessary...

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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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How to Build Your Data Marketplace with Data Virtualization?

Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected.By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool acts as a single access...

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The Value of Using a Logical Approach to Data Management in Financial Services and Insurance

In order for Financial Services and Insurance companies to embrace a data and AI-driven future, they must effectively integrate data from a growing array of sources. This necessity has evolved into a critical requirement for establishing a solid, secure, compliant, and robust data foundation. This foundation is pivotal in generating fresh insights, suggestions, and forecasts. By establishing this groundwork, these companies can develop real-time customer profiles, manage credit risks, combat fraud and financial crimes, ensure data security, address cybersecurity concerns, expand their...

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Tackling Data Risks Head-On: The Potential of Data Virtualization

In the face of growing data breaches, mitigating risks is paramount for any organization. This webinar explores how data virtualization, which offers a real-time, unified view of dispersed data, can help navigate these challenges. With insights from key reports, we underline the pivotal role of data virtualization in enhancing data security and regulatory compliance. Moreover, we delve into its ability to eliminate data silos, fostering improved collaboration and decision-making, and ensuring business continuity.In this webinar we underscore the importance of integrating data virtualization...

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Fast track to Law 25 Compliance

Under Quebec’s Law 25, many new obligations come into effect as of September 22, 2023 regarding the handling and governance of personal information. Is your organization ready?Denodo and Data Sentinel are two technology companies that have joined forces to provide a solution to many of the underlying issues associated with personal information stewardship. Please watch this webinar to learn:The provisions that go into effect on September 22 and their impact on your organization.How Automated Data Mapping can help you to implement your privacy program accurately and rapidly by:Automating the...

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Three Strategies for Building an Agile and Adaptable Data Architecture

With the rapidly changing business landscape, growing data volumes and complexity, and the emergence of new technologies and data sources, an agile data architecture is crucial for a company's success. It enables data-driven decision-making, enhances data security and governance, and improves team collaboration and efficiency. The question many have is how to build this agile data architecture.Join Felix Liao, Director of Product Management, APAC at Denodo, as he discusses three strategies that will help any organization on its journey to build a more adaptable and resilient data architecture...

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Surpassing Element by Element Access Control: Semantic-Based Security Policies

Security of data in an organization is becoming more and more important. With a plethora of tools for storing and accessing many different data sets, securing an organization's data assets can quickly become a daunting task. Not only will this be hard on database administrators and data engineers, but it could also lead to mistakes and in the worst case data breaches. An efficient way to simplify the security of the data is to make decisions based on semantic information related to the data sets, instead of each data set itself; having additional information about use or sensitivity of the...

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Semantics in Enhancing Data Governance and Security

Presentation with Demo by Pablo Alvarez, Global Director of Product Management at Denodo.

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Strengthening trust and secure transparency in the government’s use of data

Presented at Aus Government Data Summit 2022In the public sector, wider sets of disparate data holds the key to improving public digital services. Trusting dispersed data and how it is used is high on the list of public requirements, alongside transparency and protection of personal data.For better access, trust and control, an innovative data management framework is required. Single data warehousing or data lakes are not practical. An architecture that integrates seamlessly both traditional and modern data systems, simplifies data complexity, provides unified data governance and enforces...

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