Total Training Duration : 10.30 hours
Data Pipelines with Python
Duration: 3h 40m
Chapter: Introduction
Welcome To The Course 02m 52s
About The Author 01m 55s
How To Access Your Working Files 01m 15s
Chapter: Automation 101
Introduction To Automation 02m 47s
Adventures With Servers 06m 37s
Being A Good Systems Caretaker 06m 3s
What Is A Queue? 02m 31s
What Is A Consumer? What Is A Producer? 01m 59s
Chapter: Easy Task Processing With Celery
Why Celery? 01m 48s
Celery Architecture & Set Up 05m 25s
Writing Your First Tasks 07m 48s
Deploying Your Tasks 06m 8s
Scaling Your Workers 08m 52s
Monitoring With Flower 05m 5s
Advanced Celery Features 06m 0s
Chapter: Scaling Data Analysis With Dask
Why Dask? 03m 1s
First Steps With Dask 10m 8s
Dask Bags 10m 18s
Dask Distributed 09m 58s
Chapter: Data Pipelines With Luigi & Airflow
What Are Data Pipelines? What Is Dag? 02m 36s
Luigi And Airflow: A Comparison 05m 49s
First Steps With Luigi 07m 12s
More Complex Luigi Tasks 09m 16s
Introduction To Hadoop 08m 21s
First Steps With Airflow 08m 7s
Custom Tasks With Airflow 09m 15s
Advanced Airflow: Subdags And Branches 11m 17s
Using Luigi With Hadoop 10m 15s
Chapter: Other Workflow Frameworks
Apache Spark 08m 28s
Apache Spark Streaming 06m 31s
Django Channels 09m 38s
And Many More 05m 59s
Chapter: Testing With Pipelines
Introduction To Testing With Python 07m 24s
Property-Based Testing With Hypothesis 06m 8s
Scaling Python for Big Data
Duration: 7h 3m
Welcome To The Course 00:02:53
About The Author 00:01:55
How To Access Your Working Files 00:01:15
Introduction To Automation 00:02:48
Adventures With Servers 00:06:37
Being A Good Systems Caretaker 00:06:03
What Is A Queue? 00:02:32
What Is A Consumer? What Is A Producer? 00:02:00
Why Celery? 00:01:49
Celery Architecture & Set Up 00:05:25
Writing Your First Tasks 00:07:49
Deploying Your Tasks 00:06:08
Scaling Your Workers 00:08:52
Monitoring With Flower 00:05:05
Advanced Celery Features 00:06:00
Why Dask? 00:03:01
First Steps With Dask 00:10:08
Dask Bags 00:10:18
Dask Distributed 00:09:58
What Are Data Pipelines? What Is Dag? 00:02:37
Luigi And Airflow: A Comparison 00:05:50
First Steps With Luigi 00:07:12
More Complex Luigi Tasks 00:09:17
Introduction To Hadoop 00:08:21
First Steps With Airflow 00:08:07
Custom Tasks With Airflow 00:09:16
Advanced Airflow: Subdags And Branches 00:11:17
Using Luigi With Hadoop 00:10:15
Apache Spark 00:08:28
Apache Spark Streaming 00:06:32
Django Channels 00:09:39
And Many More 00:05:59
Introduction To Testing With Python 00:07:24
Property-Based Testing With Hypothesis 00:06:09
What's Next? 00:03:57
Introduction to PySpark
Introduction And Course Overview 00:02:01
About The Author 00:01:02
Installing Python 00:04:38
Installing iPython And Using Notebooks 00:06:28
How To Access Your Working Files 00:01:15
Download And Setup 00:03:24
Running The Spark Shell 00:05:35
Running The Spark Shell With iPython 00:06:38
What Is A Resilient Distributed Dataset - RDD? 00:04:54
Reading A Text File 00:03:34
Actions 00:02:13
Transformations 00:02:30
Persisting Data 00:04:11
Map 00:03:04
Filter 00:03:56
Flatmap 00:03:16
MapPartitions 00:04:07
MapPartitionsWithIndex 00:01:51
Sample 00:02:36
Union 00:01:11
Intersection 00:01:28
Distinct 00:02:02
Cartesian 00:03:17
Pipe 00:03:40
Coalesce 00:02:12
Repartition 00:02:29
RepartitionAndSortWithinPartitions 00:03:58
Reduce 00:04:19
Collect 00:01:56
Count 00:03:05
First 00:01:20
Take 00:01:05
TakeSample 00:03:03
TakeOrdered 00:02:10
SaveAsTextFile 00:04:09
CountByKey 00:02:40
ForEach 00:03:11
GroupByKey 00:02:31
ReduceByKey 00:03:30
AggregateByKey 00:03:44
SortByKey 00:02:47
Join 00:04:16
CoGroup 00:02:09
WholeTextFile 00:03:15
Pickle Files 00:03:59
HadoopInputFormat 00:05:35
HadoopOutputFormat 00:05:31
Broadcast Variables 00:04:17
Accumulators 00:05:08
Using A Custom Accumulator 00:04:52
Partitioning 00:07:56
Spark Standalone Cluster 00:04:26
Mesos 00:03:38
Yarn 00:02:28
Client Versus Cluster Mode 00:02:41
Spark Streaming 00:04:21
Dataframes And SQL 00:03:28
MLlib 00:04:29
Resources And Where To Go From Here 00:01:02
Wrap Up 00:01:28
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This DVDs are only suitable for a PC/laptop/Mac; it WILL NOT play on a TV
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