Data Engineering with Azure

Data Engineering with Azure and Data Bricks, and Spark

Praveen

Brilliant Academe

Last Update May 9, 2024

0 already enrolled

Curriculum

32 Lessons

Understanding of Azure and Data Bricks

Understanding of Azure and Data Bricks00:00:00

Azure Account Setup00:00:00

Module 2: – Storing Data in Azure

Module 3: – Azure Data Factory

Module 4: – Synapse Analytics

Module 5: – Azure Databricks

Module 6: – Azure Monitoring

Project: – One End to End Project that includes all required components

Interview Preparation

Help in Resume Creation

Your Instructors

Praveen

Azure Data Engineer

0/5

1 Course

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0 Students

Energetic Data Engineer with 10 + years of experience who help firms in designing and executing solutions for complex business problems involving large scale data warehousing, real-time analytics, and reporting solutions. He is a Microsoft Certified Azure Data Engineer & Certification in Data Science and Big Data Analytics.

Brilliant Academe

5.0/5

27 Courses

1 Review

14 Students

Data Engineering with Azure and Data Bricks, and Spark

Tags

Curriculum

Understanding of Azure and Data Bricks

Understanding of Azure and Data Bricks00:00:00

Azure Account Setup00:00:00

Module 2: – Storing Data in Azure

Azure Resource00:00:00

Azure Data Lake Storage00:00:00

Big Data processing00:00:00

Azure Data Lake Storage – GEN200:00:00

Blob types00:00:00

Module 3: – Azure Data Factory

Flow process of Azure Data Factory00:00:00

Integration Runtime in Azure Data Factory00:00:00

ADF Pipeline00:00:00

Moving Data, Transformation, and Analysis in ADF00:00:00

Different Triggers in Azure Data Factory00:00:00

Understand Azure Data Factory00:00:00

Create Link Services00:00:00

Create data factory activities and pipelines.00:00:00

Module 4: – Synapse Analytics

Create and manage Azure Synapse pipeline.00:00:00

Use Azure Synapse notebook to write code.00:00:00

Use Azure Synapse notebook to write code.00:00:00

Synapse SQL00:00:00

Synapse Analytics00:00:00

Manage data pipelines in Data Factory/Synapse Pipelines00:00:00

Create and use serverless SQL pools, dedicated SQL pools, Spark pools00:00:00

Module 5: – Azure Databricks

Azure Databricks00:00:00

Launch Notebooks in Azure Databricks00:00:00

Writing Python and Spark SQL code.00:00:00

Perform Spark, and Pyspark Analysis on Azure Databricks00:00:00

Integrating Azure Databricks with other services00:00:00

Module 6: – Azure Monitoring

Azure Monitor00:00:00

Data collection in Azure Monitor00:00:00

Metrics, Logs, Activity Log, Workbooks00:00:00

Metrics, Logs, Activity Log, Workbooks00:00:00

The flow of Alerts in Azure Monitor00:00:00

Project: – One End to End Project that includes all required components

Interview Preparation

Help in Resume Creation

Your Instructors

Praveen

Brilliant Academe

Microsoft Power BI

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