Azure Databricks and Spark SQL (Python)

专注于使用 Spark SQL 在 Azure Databricks 上进行数据工程和分析的实践课程

发表于 2022 年 11 月
MP4 | 视频：h264、1280×720 | 音频：AAC，44.1 KHz，2 Ch
类型：eLearning | 语言：英语 | 时长：76 节课（6 小时 59 米）| 大小：2.94 GB

你会学到什么

Azure Databricks
Data Lakehouse
Delta Lakes
Spark SQL
PySpark
大数据
真实世界场景

要求

基本 SQL
基本 Python

描述

Databricks 是最受欢迎的大数据工具之一。它是一种基于 Spark 的快速、简单和协作的大数据分析服务，专为数据科学、ML 和数据工程工作流而设计。

该课程包含讲座、代码视频和专门的挑战部分。这应该足以让您保持参与和学习！作为额外的奖励，您还可以终生访问所有讲座……我提供了详细的笔记本作为可下载的资产，笔记本将包含分步文档以及其他资源和链接。

我确保课程的交付引人入胜且简洁，课程内容广泛但以有效的方式交付。该课程将为您提供使用各种不同数据集的实践培训。

本课程旨在教您 PySpark、Python 中的 Spark SQL 和 Databricks Lakehouse 架构。

除了 Azure Data Lake Storage Gen 2 等其他服务之外，您还将主要在 Microsoft Azure 上使用 Databricks。

该课程将涵盖多个领域，包括

设置和概述

Azure Databricks 笔记本

火花 SQL

读取和写入数据

在 Python 中使用 Spark SQL 进行数据分析和转换

Databricks Notebooks 中的图表和仪表板

Databricks 奖章架构

访问 Cloud Object Storage 中的数据

Hive 元存储

Databricks 中的数据库、表和视图

Delta 湖 / Databricks Lakehouse Architecture

本课程面向的对象
任何对使用大数据和 Spark
感兴趣的人 任何对使用 Databricks
感兴趣的人 任何对使用云平台感兴趣的人

Hands-on course focusing on data engineering and analysis on Azure Databricks using Spark SQL

Published 11/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 76 lectures (6h 59m) | Size: 2.94 GB

What you’ll learn

Azure Databricks
Data Lakehouse
Delta Lakes
Spark SQL
PySpark
Big Data
Real World Scenarios

Requirements

Basic SQL
Basic Python

Description

Databricks is one of the most in demand big data tools around. It is a fast, easy, and collaborative Spark based big data analytics service designed for data science, ML and data engineering workflows.

The course is packed with lectures, code-along videos and dedicated challenge sections. This should be more than enough to keep you engaged and learning! As an added bonus you will also have lifetime access to all the lectures… and I have provided detailed notebooks as a downloadable asset, the notebooks will contain step by step documentation with additional resources and links.

I have ensured that the delivery of the course is engaging and concise, the curriculum is extensive yet delivered in an efficient way. The course will provide you with hands-on training utilising a variety of different data sets.

The course is aimed at teaching you PySpark, Spark SQL in Python and the Databricks Lakehouse Architecture.

You will primarily be using Databricks on Microsoft Azure in addition to other services such as Azure Data Lake Storage Gen 2.

The course will cover a variety of areas including

Set Up and Overview

Azure Databricks Notebooks

Spark SQL

Reading and Writing Data

Data Analysis and Transforation with Spark SQL in Python

Charts and Dashboards in Databricks Notebooks

Databricks Medallion Architecture

Accessing Data in Cloud Object Storage

Hive Metastore

Databases, Tables and Views in Databricks

Delta Lake / Databricks Lakehouse Architecture

Who this course is for
Anyone interested in working with Big Data and Spark
Anyone interested in working with Databricks
Anyone interested in working with cloud platforms