Fast track - Learn Azure Data Engineering with Mini Project

[LeeAndro]

h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, Stereo | 6h 45mn | 2.52 GB

(2) Visible comparison of Blob and Azure Data Lake Gen2 storage using data analytics through Azure Databricks.

Azure Data Factory V2, Azure Data Lake, Azure Databricks, SQL Synapse Analytics, Azure Storage - Blob + ADLS
What you'll learn

Insights of Azure Data Services - Storage Services, ADF V2, Azure Databricks and SQL DW (Synapse Analytics)

Creating and Managing data related Azure services

Practical experience with able datasets

Design concepts for big data processing on Azure Data Lake

Securing Data on Blob Storage using SAS URLs + Lifecycle Policies to archive data with auto tier change

End to End Data load pipeline (Source -> Raw Layer -> Curated -> Consumption)

Requirements

ETL or Database Knowledge is expected

Basic Azure Knowledge is plus

Spark knowledge will speed up learning Azure Databricks

Description

Recently added sessions (as on Jun/01/20):

(1) Dynamically change DB connection in ADF (Parameterizing linked service)

(3) NY Taxi data files source link added in resources section

Newly added sessions (as on May/14/20):

(1) Integrate Key Vault with Azure Databricks and extract secrets via Secret Scope

(2) Use Blob SDK in Azure Databricks to read/write files on blob like IO operations

(3) Connecting to SQL Server with pyodbc in Azure Databricks

(4) Datasets used in this course are now available to . Visit Azure Data Factory section.

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Learn All in One Azure Data Eeering services along with hands-on (requirement gathering to implementation)

We will execute a small project. It will help you to learn:

1) Design concepts - How to design big data system. Teologies of each components/layers.

2) Hands-on - We will be creating required Azure data services and will look various options available.

3) Tips and Tricks

4) Helps in DP-200 and DP-201 certification preparation.

Technologies you will learn:

Azure Data Factory V2, Databricks (using Standard cluster), Storage Services, SQL Synapse Analytics (DB part)

Course highlights:

1) Resources: Links to external resource for further reading

2) Datasets : and use dataset used in this course. Do more practice.

3) Architecture and Design : Start learning on how to d the data load on cloud platform.

On the way to add more contents:

* Parameterize Linked Services in ADF

* Real data ingestion using Eventhub, Stream analytics and Spark Streaming

* Use Pandas on Azure Databricks

* Visualize data in reporting tool / Azure Databricks

* Pricing and cost calculation

Who this course is for:

Bners to Azure Data World

ETL Developers

Database Professionals



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