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Top 10 Data Engineering Trends in 2025

Edureka

To meet this need, people who work in data engineering will focus on making systems that can handle ongoing data streams with little delay. Cloud-Native Data Engineering These days, cloud-based systems are the best choice for data engineering infrastructure because they are flexible and can grow as needed.

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

Towards Data Science

The Security Angle If we take the security-forward perspective, on the other hand, we have to admit that the larger the quantities of data we have — particularly if there are multiple systems of storage or processes influencing the data — the larger the risk of data breach. What does this table mean?

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AWS Shared Responsibility Model – Amazon Web Services

Edureka

Under this framework, AWS assumes responsibility for securing the cloud infrastructure, encompassing physical facilities, network components, and virtualization layers. Examples include physical security, facility environmental controls, and baseline network infrastructure hardening. AWS trains its staff, while customers train theirs.

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Introduction to AWS Elastic File System (EFS)

Edureka

Amazon Elastic File System (EFS) is a service that Amazon Web Services ( AWS ) provides. It is intended to deliver serverless, fully-elastic file storage that enables you to share data independently of capacity and performance. All these features make it easier to safeguard your data and also keep to the legal requirements.

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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 Migration to the Cloud: Benefits and Best Practices

Precisely

If cloud migration is on your priority list, read on to find out about the benefits, best practices, and more – so you can ensure a smooth and successful journey that keeps your data secure, compliant, and ready for the future. Moving to the cloud comes with a different cost structure than traditional on-prem systems.

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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.

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