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Top 10 Data Engineering Trends in 2025

Edureka

Stronger data validation checks, cleaning processes, and governance systems are being built into data engineering solutions to make sure that data is correct, safe, and reliable. Companies all over the world will keep checking that they are following global data security rules like GDPR.

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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.

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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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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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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 104
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AWS Shared Responsibility Model – Amazon Web Services

Edureka

Infrastructure as a Service (IaaS) AWS is responsible for the physical infrastructure, network, and virtualization; customers manage OS, middleware, runtime, applications, and data security. Software as a Service (SaaS) Software as a Service offerings deliver fully managed applications, shifting nearly the entire security stack to AWS.