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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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ThoughtSpot Sage: data security with large language models

ThoughtSpot

Looking more broadly, we’ll also describe the security process we follow during any application iteration or enhancement, so you can see the great lengths we take to keep your data secure. TLDR We use OpenAI hosted on Azure as a service. Azure OpenAI service is SOC 2 compliant.

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Snowflake Announces State-of-the-Art AI to Talk to your Data, Securely Customize LLMs and Streamline Model Operations

Snowflake

It also presents an opportunity to reimagine every customer and employee interaction with data to be done via conversational applications. These opportunities also come with challenges for data and AI teams, who must prioritize data security and privacy while rapidly deploying new use cases across the organization.

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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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Embedded Analytics Insights for 2024

From data security to generative AI, read the report to learn what developers care about including: Why organizations choose to build or buy analytics How prepared organizations are in 2024 to use predictive analytics & generative AI Leading market factors driving embedded analytics decision-making

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Snowflake Data Governance: Ensure Data Security and Compliance

Hevo

The constant increase in the data produced by modern technologies has given rise to significant challenges, such as data complexity, inconsistencies, and breaching issues. You need a structured approach to address these challenges and mitigate the risk of comprising sensitive data. What is Data Governance in Snowflake?

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Snowflake Data Governance: Ensure Data Security and Compliance

Hevo

The constant increase in the data produced by modern technologies has given rise to significant challenges, such as data complexity, inconsistencies, and breaching issues. You need a structured approach to address these challenges and mitigate the risk of comprising sensitive data. What is Data Governance in Snowflake?

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.