According to a new press release, Baffle has introduced enterprise-grade data security for Amazon Relational Database Service (Amazon RDS) and Amazon Aurora, addressing the need for organizations to maintain compliance with privacy regulations while handling sensitive data across locations. Traditional methods like transparent data encryption (TDE) are no longer sufficient, especially with the evolving demands […]
Data Governance Metrics: How to Measure Success
The use of Data Governance metrics as a measurement system promotes the efficient use and management of data. Establishing key performance indicators (KPIs) is normally the first step in monitoring and measuring the effectiveness of a Data Governance program. These indicators allow organizations to assess and adjust their Data Governance strategies. A measurement system allows […]
DAS Webinar: How Do Data Governance and Data Architecture Support Each Other?
Download the slides here>> About the Webinar The definition of Data Governance can vary, depending on the audience. To many, Data Governance consists of committees and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both of these aspects, and a robust Data Architecture can be the “glue” […]
Human-AI Collaboration: How AI Can Enhance Human Capabilities and Ethical Considerations
Artificial intelligence is here to change the world, and it is up to us to embrace this technology and use it responsibly to reap its full potential. Although critics have expressed some valid concerns about the potential harm that AI technology could bring about, fostering an AI-human collaboration can allow us to use this powerful […]
Automated Data Management Tools
“Why?” a chief technology officer (CTO) may ask when the subject of automated Data Management tools arises. After all, their organization has probably already been storing, archiving, and backing up enterprise data day after day with success. For example, setting up a Database-as-a-Service (DBaaS) from a reputable cloud computing provider, with appropriate access to data, […]
Soda Demo: Getting Control on Data Quality
Download the slides here >> Meet Janet and Eric, embodying the roles of a data consumer and data engineer, as they navigate the complexities of ensuring data reliability and quality through real-world scenarios and hands-on examples. They’ll showcase how Soda empowers data teams to proactively identify, prevent, and resolve data quality issues. From testing and […]
Collibra Demo: Make Data-Driven Decisions With Collibra Data Quality & Observability
Download the slides here >> Modern stacks are complicated, making it hard to keep track of data quality. Luckily, there’s a solution. Collibra Data Quality & Observability monitors data quality and data pipeline reliability to help you rapidly remediate anomalies. Join Hariprasad Ashwene, Senior Sales Engineer, at Collibra, to see how Collibra Data Quality […]
Precisely Demo: Data Quality Strategies: Confident Decision Making in an AI-Driven World
Download the slides here >> The acceleration of AI adoption impacts how businesses make decisions. Every organization leveraging AI’s capabilities requires quality data that is accurate, trustworthy, and fit for purpose. This webinar dives into the data quality strategy built for this future and what specific attributes to consider when implementing a data quality solution. […]
RWDG Webinar: Metadata Management’s Impact on Data Governance
Download the slides here>> About the Webinar Explore the powerful synergy between metadata management and Data Governance to elevate your governance efforts to new heights. Learn how to leverage metadata management to strengthen your Data Governance framework and ensure data-driven success. Join Bob Seiner for an engaging webinar where he will explore the pivotal role […]
Good Data Quality Is the Secret to Successful GenAI Implementation
You wouldn’t build a house without a concrete foundation. So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy. Incomplete or inconsistent data prompts GenAI models to propose equally unreliable outputs, calling the basic […]