About this Course

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Intermediate Level

Knowledge of data processing languages, such as SQL, Python, or Scala. An understanding of parallel processing and data architecture patterns.

Approx. 7 hours to complete
English

What you will learn

  • How to perform data engineering with Azure Synapse Apache Spark Pools to boost the performance of big-data analytic applications.

Skills you will gain

Ingest data using Apache Spark Notebooks in Azure Synapse AnalyticsTransform data using DataFrames in Apache Spark Pools in Azure Synapse AnalyticsMonitor and manage data engineering workloads with Apache Spark in Azure Synapse AnalyticsIntegrate SQL and Apache Spark pools in Azure Synapse Analytics
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

Knowledge of data processing languages, such as SQL, Python, or Scala. An understanding of parallel processing and data architecture patterns.

Approx. 7 hours to complete
English

Offered by

Placeholder

Microsoft

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Big Data Engineering

4 hours to complete
12 videos (Total 31 min), 14 readings, 4 quizzes
Week
2

Week 2

2 hours to complete

Query pools and manage workloads in Azure Synapse Analytics

2 hours to complete
9 videos (Total 29 min), 6 readings, 3 quizzes
Week
3

Week 3

1 hour to complete

Practice Exam on Perform data engineering with Azure Synapse Apache Spark Pools

1 hour to complete
2 videos (Total 6 min), 2 readings, 1 quiz

About the Microsoft Azure Data Engineering Associate DP-203 Exam Prep Specialization

Microsoft Azure Data Engineering Associate DP-203 Exam Prep

Frequently Asked Questions

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