Remove AWS Remove Data Architecture Remove Unstructured Data
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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Snowflake Unistore consolidates both into a single database so users get a drastically simplified architecture with less data movement and consistent security and governance controls.

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Mastering Multi-Cloud with Cloudera: Strategic Data & AI Deployments Across Clouds

Cloudera

A prominent public health organization integrated data from multiple regional health entities within a hybrid multi-cloud environment (AWS, Azure, and on-premise). A leading meal kit provider migrated its data architecture to Cloudera on AWS, utilizing Cloudera’s Open Data Lakehouse capabilities.

Cloud 82
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What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools

Monte Carlo

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Let’s examine a few.

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

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Apache Ozone – A Multi-Protocol Aware Storage System

Cloudera

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? S3 Any cloud-native S3 workload built to access S3 storage using either the AWS CLI, Boto S3 client, or other S3 client library can access Ozone via the S3 protocol.

Systems 105
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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

Additionally, the optimized query execution and data pruning features reduce the compute cost associated with querying large datasets. Scaling data infrastructure while maintaining efficiency is one of the primary challenges of modern data architecture.

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The Future Is Hybrid Data, Embrace It

Cloudera

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. Fuel growth with speed and control.

IT 112