Data Pipelines with Apache Airflow
Focused View
10:21:58
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00001 Part 1. Getting started.mp4
02:11
00002 Chapter 1 Meet Apache Airflow.mp4
07:47
00003 Chapter 1 Pipeline graphs vs. sequential scripts.mp4
05:17
00004 Chapter 1 Introducing Airflow.mp4
09:10
00005 Chapter 1 When to use Airflow.mp4
06:16
00006 Chapter 2 Anatomy of an Airflow DAG.mp4
10:40
00007 Chapter 2 Running a DAG in Airflow.mp4
06:41
00008 Chapter 2 Running at regular intervals.mp4
06:03
00009 Chapter 3 Scheduling in Airflow.mp4
06:22
00010 Chapter 3 Cron-based intervals.mp4
05:30
00011 Chapter 3 Processing data incrementally.mp4
09:12
00012 Chapter 3 Understanding Airflow s execution dates.mp4
06:39
00013 Chapter 3 Best practices for designing tasks.mp4
06:10
00014 Chapter 4 Templating tasks using the Airflow context.mp4
09:31
00015 Chapter 4 Templating the PythonOperator.mp4
08:59
00016 Chapter 4 Hooking up other systems.mp4
10:41
00017 Chapter 5 Defining dependencies between tasks.mp4
08:18
00018 Chapter 5 Branching.mp4
09:19
00019 Chapter 5 Conditional tasks.mp4
05:05
00020 Chapter 5 More about trigger rules.mp4
06:56
00021 Chapter 5 Sharing data between tasks.mp4
08:13
00022 Chapter 5 Chaining Python tasks with the Taskflow API.mp4
07:19
00023 Part 2. Beyond the basics.mp4
02:07
00024 Chapter 6 Triggering workflows.mp4
06:09
00025 Chapter 6 Polling custom conditions.mp4
06:25
00026 Chapter 6 Triggering other DAGs.mp4
11:34
00027 Chapter 7 Communicating with external systems.mp4
09:47
00028 Chapter 7 Developing locally with external systems.mp4
09:19
00029 Chapter 7 Moving data from between systems.mp4
12:29
00030 Chapter 8 Building custom components.mp4
12:00
00031 Chapter 8 Building a custom hook.mp4
09:12
00032 Chapter 8 Building a custom operator.mp4
10:17
00033 Chapter 8 Packaging your components.mp4
08:59
00034 Chapter 9 Testing.mp4
11:41
00035 Chapter 9 Setting up a CI CD pipeline.mp4
11:08
00036 Chapter 9 Testing with files on disk.mp4
07:51
00037 Chapter 9 Working with external systems.mp4
07:18
00038 Chapter 9 Using tests for development.mp4
07:11
00039 Chapter 10 Running tasks in containers.mp4
05:22
00040 Chapter 10 Introducing containers.mp4
10:48
00041 Chapter 10 Containers and Airflow.mp4
06:13
00042 Chapter 10 Creating container images for tasks.mp4
10:02
00043 Chapter 10 Running tasks in Kubernetes.mp4
05:41
00044 Chapter 10 Using the KubernetesPodOperator.mp4
07:49
00045 Part 3. Airflow in practice.mp4
01:12
00046 Chapter 11 Best practices.mp4
07:37
00047 Chapter 11 Manage credentials centrally.mp4
08:12
00048 Chapter 11 Use factories to generate common patterns.mp4
05:58
00049 Chapter 11 Designing reproducible tasks.mp4
05:18
00050 Chapter 11 Handling data efficiently.mp4
08:14
00051 Chapter 11 Managing your resources.mp4
06:04
00052 Chapter 12 Operating Airflow in production.mp4
05:05
00053 Chapter 12 Which executor is right for me.mp4
07:33
00054 Chapter 12 A closer look at the scheduler.mp4
07:52
00055 Chapter 12 Installing each executor.mp4
08:34
00056 Chapter 12 Setting up the KubernetesExecutor.mp4
11:17
00057 Chapter 12 Capturing logs of all Airflow processes.mp4
05:39
00058 Chapter 12 Visualizing and monitoring Airflow metrics.mp4
09:18
00059 Chapter 12 Creating dashboards with Grafana.mp4
07:13
00060 Chapter 12 How to get notified of a failing task.mp4
05:59
00061 Chapter 12 Scalability and performance.mp4
08:37
00062 Chapter 13 Securing Airflow.mp4
07:07
00063 Chapter 13 Encrypting data at rest.mp4
10:25
00064 Chapter 13 Encrypting traffic to the webserver.mp4
08:36
00065 Chapter 13 Fetching credentials from secret management systems.mp4
08:18
00066 Chapter 14 Project - Finding the fastest way to get around NYC.mp4
09:12
00067 Chapter 14 Extracting the data.mp4
09:35
00068 Chapter 14 Structuring a data pipeline.mp4
06:01
00069 Part 4. In the clouds.mp4
01:47
00070 Chapter 15 Airflow in the clouds.mp4
07:55
00071 Chapter 15 Google Cloud Composer.mp4
08:21
00072 Chapter 16 Airflow on AWS.mp4
10:42
00073 Chapter 16 AWS-specific hooks and operators.mp4
08:39
00074 Chapter 16 Building the DAG.mp4
05:29
00075 Chapter 17 Airflow on Azure.mp4
09:37
00076 Chapter 17 Overview.mp4
10:50
00077 Chapter 18 Airflow in GCP.mp4
09:36
00078 Chapter 18 Integrating with Google services.mp4
06:29
00079 Chapter 18 GCP-specific hooks and operators.mp4
06:06
00080 Chapter 18 Getting data into BigQuery.mp4
05:50
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Manning Publications
View courses Manning PublicationsManning Publications is an American publisher specializing in content relating to computers. Manning mainly publishes textbooks but also release videos and projects for professionals within the computing world.
- language english
- Training sessions 80
- duration 10:21:58
- Release Date 2023/11/06
