Remove Data Storage Remove Systems Remove Utilities
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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Though basic and easy to use, traditional table storage formats struggle to keep up. Track data files within the table along with their column statistics.

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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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A Flexible and Efficient Storage System for Diverse Workloads

Cloudera

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Diversity of workloads.

Systems 86
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Operating System Virtualization – Types, Working, Benefits

Knowledge Hut

OS virtualization is an innovative generation that has changed how we manage and utilize our computational resources. But what precisely is operating system virtualization? This blog will provide you all the information about the Operating System virtualization along with AWS Solution Architect syllabus.

Systems 52
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A Blueprint for a Real-World Recommendation System

Rockset

From his early days at Quora to leading projects at Facebook and his current venture at Fennel (a real-time feature store for ML), Nikhil has traversed the evolving landscape of machine learning engineering and machine learning infrastructure specifically in the context of recommendation systems.

Systems 52
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Building Meta’s GenAI Infrastructure

Engineering at Meta

We focused on building end-to-end AI systems with a major emphasis on researcher and developer experience and productivity. Grand Teton builds on the many generations of AI systems that integrate power, control, compute, and fabric interfaces into a single chassis for better overall performance, signal integrity, and thermal performance.

Building 145
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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

Here are six key components that are fundamental to building and maintaining an effective data pipeline. Data sources The first component of a modern data pipeline is the data source, which is the origin of the data your business leverages. Data storage Data storage follows.