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A Dive into the Basics of Big Data Storage with HDFS

Analytics Vidhya

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers.

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Reflections On Designing A Data Platform From Scratch

Data Engineering Podcast

Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. Time-series data is time stamped so you can measure how a system is changing. Time-series data is relentless and requires a database like TimescaleDB with speed and petabyte-scale.

Designing 100
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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

Then, we’ll dive deeper into how to build data pipelines and why it’s imperative to make your data pipelines work for you. Table of Contents What are Data Pipelines? Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures.

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A Flexible and Efficient Storage System for Diverse Workloads

Cloudera

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 92
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What are the Key Parts of Data Engineering?

Start Data Engineering

Key parts of data systems: 2.1. Data flow design 2.3. Data processing design 2.5. Data storage design 2.7. Introduction If you are trying to break into (or land a new) data engineering job, you will inevitably encounter a slew of data engineering tools. Introduction 2.

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Building Meta’s GenAI Infrastructure

Engineering at Meta

We are sharing details on the hardware, network, storage, design, performance, and software that help us extract high throughput and reliability for various AI workloads. We use this cluster design for Llama 3 training. We have been openly designing our GPU hardware platforms beginning with our Big Sur platform in 2015.

Building 145
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8 Essential Data Pipeline Design Patterns You Should Know

Monte Carlo

Whether it’s customer transactions, IoT sensor readings, or just an endless stream of social media hot takes, you need a reliable way to get that data from point A to point B while doing something clever with it along the way. That’s where data pipeline design patterns come in. Batch Processing Pattern 2.