小红书【Dots】大模型数据工程

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大数据处理的主要流程包括数据收集、数据存储、数据处理、数据应用等主要环节。

With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.

Hadoop 为庞大的计算机集群提供可靠的、可伸缩的应用层计算和存储支持，它允许使用简单的编程模型跨计算机群集分布式处理大型数据集，并且支持在单台计算机到几千台计算机之间进行扩展。

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.

Apache Spark 是用于大规模数据处理的统一分析引擎。

This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.

Apache Flink 是一个分布式计算框架，它能够对有界和无界的数据流进行高效的处理。

This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.

Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.

Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

In this video, I'll teach you everything you need to know about Apache Ray!

Using powerful machine learning algorithms is easy using Ray.io and Python.

Parallel and Distributed computing sounds scary until you try this fantastic Python library.

HBase is a data model that is similar to Google's big table designed to provide quick random access to huge amounts of structured data. This tutorial provides an introduction to HBase, the procedures to set up HBase on Hadoop File Systems, and ways to interact with HBase shell.

Learn how to ingest and query data in ClickHouse using the New York City taxi example dataset.

ClickHouse is an open-source column-oriented DBMS for online analytical processing that allows users to generate analytical reports using SQL queries in real-time.

What is Apache Cassandra?

This book step-by-step guides developers to understand what Cassandra is, how Cassandra works and how to use the features and capabilities of Apache Cassandra 2.0.

In this tutorial I will introduce you to Apache Cassandra, a distributed, horizontally scalable, open-source database.

Apache Cassandra is an open source NoSQL distributed database.

Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.

This guide will get you up and running with Apache Iceberg™ using Apache Spark™, including sample code to highlight some powerful features.

This tutorial will discuss Apache Iceberg, a popular open table format in today’s big data landscape.

You’ve probably heard about Apache Iceberg™—after all, it’s been getting a lot of buzz.

This guide helps you quickly explore the main features of Delta Lake.

Try out the latest tutorials for the open-source Delta Lake project.

This tutorial introduces common Delta Lake operations on Databricks.

In this Delta Lake course, we will go though all the important concepts of Delta Lake.