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

Towards Data Science

I am the first senior machine learning engineer at DataGrail, a company that provides a suite of B2B services helping companies secure and manage their customer data. An aside about regulation The growth in data security regulations in recent years has increased the challenges of the scenario I describe for businesses.

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On-Prem vs. The Cloud: Key Considerations 

phData: Data Engineering

Prior to making a decision, an organization must consider the Total Cost of Ownership (TCO) for each potential data warehousing solution. On the other hand, cloud data warehouses can scale seamlessly. Vertical scaling refers to the increase in capability of existing computational resources, including CPU, RAM, or storage capacity.

Cloud 52
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Data News — Week 23.24

Christophe Blefari

The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times. Privitar will bring "data security" stuff. It covers simple SELECT and advanced concepts. This is neat.

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Complying with Quebec’s Data Privacy Laws Is Easier with the Data Cloud

Snowflake

Among the many reasons Snowflake is integral to an organization’s data strategy is the out-of-the-box security-related features. In today’s rapidly changing regulatory and compliance landscape, use of these features allows customers to keep critical data secure and monitor that data for auditing purposes.

Cloud 108
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Why a Solid Data Foundation Is the Key to Successful Gen AI

Snowflake

The ideal solution is to enable usage of the primary, most up-to-date data, without having to copy it from one place to another, all while meeting relevant regulatory requirements, which will continue to evolve with AI. Prioritizing data security and governance How can companies do all this — move fast and stay safe at the same time?

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A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse

Cloudera

Things like in-place schema evolution and ACID transactions on the data lakehouse are critical pieces for organizations as they push to achieve regulatory compliance and adhere to policies like the General Data Protection Regulation (GDPR). ZDU gives organizations a more convenient means of upgrading.

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Snowflake Cortex AI Continues to Advance Enterprise AI with No-Code Development, Serverless Fine-Tuning and Managed Services to Build Chat-with-Data Applications

Snowflake

Additionally, upon implementing robust data security controls and meeting regulatory requirements, businesses can confidently integrate AI while meeting compliance standards. This minimizes data risk and reduces time spent maintaining separate data security frameworks.

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