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

Data Engineering Podcast

In this episode Yoav Cohen from Satori shares his experiences as a practitioner in the space of data security and how to align with the needs of engineers and business users. 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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Cloud Native Data Security As Code With Cyral

Data Engineering Podcast

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. Different databases and storage systems all have their own method of restricting access, and they are not all compatible with each other.

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Data security vs usability: you can have it all

Cloudera

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Quickly onboard data.

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FedRAMP In Process Designation, A Milestone in Cybersecurity Commitment

Cloudera

I am pleased to announce that Cloudera has achieved FedRAMP “In Process”, a significant milestone that underscores our commitment to providing the public sector with secure and reliable data management solutions across on-prem, hybrid and multi-cloud environments.

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5 Big Data Challenges in 2024

Knowledge Hut

This implies two things, one, the data coming from one source is out of date when compared to another source. Two, it creates a commonality of data definitions, concepts, metadata and the like. Organizations often have to setup the right personnel, policies and technology to ensure that data governance is achieved.

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Cloudera wins Risk Markets Technology Award for Data Management Product of the year

Cloudera

I am pleased to announce that Cloudera was just named the Risk Data Repository and Data Management Product of the Year in the Risk Markets Technology Awards 2021. . Supporting the industry’s risk data depository and data management needs. End-to-end Data Lifecycle.

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How Much Data Do We Need? Balancing Machine Learning with Security Considerations

Towards Data Science

Taking a hard look at data privacy puts our habits and choices in a different context, however. Data scientists’ instincts and desires often work in tension with the needs of data privacy and security. Anyone who’s fought to get access to a database or data warehouse in order to build a model can relate.