Microsoft
Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate
Microsoft

Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate

Launch Your Career in Data Engineering. Master designing and implementing data solutions that use Microsoft Azure data services

 Microsoft

Instructor: Microsoft

40,789 already enrolled

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Earn a career credential that demonstrates your expertise
4.3

(1,016 reviews)

Intermediate level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.3

(1,016 reviews)

Intermediate level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Industry certification
Taught in English

See how employees at top companies are mastering in-demand skills

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Earn 50% off your Microsoft Azure Data Fundamentals DP-203 Certification Exam

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Professional Certificate - 10 course series

What you'll learn

  • You will learn the various data platform technologies available, and how to take advantage of this technology to an organizations benefit.

  • Choose Microsoft Azure data technologies that meet different business needs and scale to meet demands securely

  • Describe common data engineering practices

  • Explain the differences between on-premises and cloud data solutions

Skills you'll gain

Category: Microsoft Azure
Category: Data Warehousing
Category: Data Security

What you'll learn

  • You will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for your data.

  • Design and implement data storage and data security

  • Design and develop data processing

  • Monitor and optimize data storage and data processing

Skills you'll gain

Category: Microsoft Azure
Category: Data Integration
Category: Data Pipelines

What you'll learn

  • How to create and manage data pipelines in the cloud

  • How to integrate data at scale with Azure Synapse Pipeline and Azure Data Factory

Skills you'll gain

Category: Microsoft Azure
Category: Information Engineering
Category: Data Processing
Category: Data Management

What you'll learn

  • How to use Azure Synapse Analytics to build Data Warehouses using modern architecture patterns

  • How to describe the features and components of Azure Synapse Analytics

  • How to use Azure Synapse Analytics to build your analytical solutions in one place

  • How to use Azure Synapse Studio application to interact with the various components of Azure Synapse Analytics

Skills you'll gain

Category: Microsoft Azure
Category: Data Security
Category: Information Engineering
Category: Cloud Data Solutions

What you'll learn

  • How to use Azure Synapse Analytics to build Data Warehouses using modern architecture patterns

  • How to design a Modern Data Warehouse using Azure Synapse Analytics

  • How to manage, optimize, and secure a data warehouse

  • How to design a multidimensional schema to optimize analytical workloads

Skills you'll gain

Category: Microsoft Azure
Category: Analytics
Category: Apache Spark

What you'll learn

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

  • How to ingest data using Apache Spark Notebooks in Azure Synapse Analytics

  • How to transform data using DataFrames in Apache Spark Pools in Azure Synapse Analytics

  • How to monitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics

Skills you'll gain

Category: Microsoft Azure
Category: Data Analysis
Category: Data Warehousing
Category: Data Architecture

What you'll learn

  • How to perform operational analytics against Azure Cosmos DB using the Azure Synapse Link feature within Azure Synapse Analytics

  • How to query Azure Cosmos DB with SQL Serverless/Apache Spark for Azure Synapse Analytics

  • How to configure and enable Azure Synapse Link to interact with Azure Cosmos DB

  • How to use hybrid transactional and analytical processing to perform operational analytics with Azure Synapse Analytics

Skills you'll gain

Category: Microsoft Azure
Category: Big Data
Category: Upload
Category: Complex Event Processing (CEP)
Category: Data Streaming

What you'll learn

  • How to work with large amounts of data from multiple sources in different raw formats

  • How to create production workloads on Azure Databricks with Azure Data Factory

  • How to build and query a Delta Lake

  • How to perform data transformations in DataFrame. How to understand the architecture of an Azure Databricks Spark Cluster and Spark Jobs

Skills you'll gain

Category: Test Preparation
Category: Microsoft Azure
Category: Information Engineering

What you'll learn

  • How to use Azure Data Lake Storage to make processing Big Data analytical solutions more efficient.

  • How to set up a stream analytics job to stream data and manage a running job

  • How to describe the concepts of event processing and streaming data and how this applies to Azure Stream Analytics

  • How to use Advanced Threat Protection to proactively monitor your system and describe the various ways to upload data to Data Lake Storage Gen 2

Skills you'll gain

Category: Microsoft Azure
Category: Information Engineering
Category: SQL
Category: Data Management
Category: Apache Spark

What you'll learn

  • How to refresh and test your knowledge of the skills mapped to all the main topics covered in the DP-203 exam.

  • How to demonstrate proficiency in the skills measured in Exam DP-203: Data Engineering on Microsoft Azure

  • How to outline the key points covered in the Microsoft Data Engineer Associate Specialization

  • How to describe best practices for preparing for the Exam DP-203: Data Engineering on Microsoft Azure

Skills you'll gain

Category: Microsoft Azure
Category: Data Security
Category: Data Processing
Category: Data Storage

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Instructor

 Microsoft
Microsoft
185 Courses1,009,287 learners

Offered by

Microsoft

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