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Aligning Data Security With Business Productivity To Deploy Analytics Safely And At Speed

Data Engineering Podcast

Summary As with all aspects of technology, security is a critical element of data applications, and the different controls can be at cross purposes with productivity. He also explains why data security is distinct from application security and some methods for reducing the challenge of working across different data systems.

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How Snowflake and Merit Helped Provide Over 120,000 Students with Access to Education Funding 

Snowflake

Merit’s built-in governance features — like user verification, consent-driven sharing, and exportable audit trails — enable data security without compromising efficiency. Snowflake’s Data Cloud was crucial in utilizing data to capture real-time information and effectively allocate funds.

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Cloud Native Data Security As Code With Cyral

Data Engineering Podcast

Summary One of the most challenging aspects of building a data platform has nothing to do with pipelines and transformations. If you are putting your workflows into production, then you need to consider how you are going to implement data security, including access controls and auditing.

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What Is Data Security in Cloud Computing?

U-Next

Most cloud service data breaches are caused by criminal activities, insider threats, malware, weak credentials, and human mistakes. . Generally speaking, the characteristics that make cloud services simple for employees to access through IT systems make it challenging for businesses to prevent illegal access.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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Building A Data Governance Bridge Between Cloud And Datacenters For The Enterprise At Privacera

Data Engineering Podcast

In this episode Balaji Ganesan shares how his experiences building and maintaining Ranger in previous roles helped him understand the needs of organizations and engineers as they define and evolve their data governance policies and practices. Can you describe what Privacera is and the story behind it?

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How to Build a Data Quality Integrity Framework

Monte Carlo

A variety of factors can threaten the integrity of your data, from human error and ineffective training to a lack of security and liberal data access. A data integrity framework is a system of processes and technologies that work together to improve data quality, security, and compliance at scale.