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DP-203

Data Ingestion and Preparation

Brian Roehm

The recommended order of courses to prepare for the DP-203: Data Engineering on Microsoft Azure certification is as follows: * Building an Azure Data Engineer Foundation * Data Ingestion and Preparation * Processing in Azure Using Batch Solutions * Processing in Azure Using Streaming Solutions * Secure, Monitor, and Optimize Data Storage and Processing Finally, use the practice exams to test your understanding for the exam. In this course, *DP-203: Data Ingestion and Preparation*, you’ll learn the foundational knowledge you will need to be successful on the DP-203: Data Engineering on Microsoft Azure exam. First, you’ll explore Azure Synapse, Azure Databricks, Azure Data Factory, and Azure Stream Analytics. Along the way, you'll learn how to import data, split data, Shred JSON, perform data exploratory analysis, and work with pipelines. In addition, you’ll learn how to work with streaming data and deal with issues such as out-of-order data or incomplete data. When you’re finished with the course, you’ll have the data ingestion and preparation skills you need to not only pass critical questions on the DP-203 exam, but you’ll have the foundation needed to have confidence in an interview to be a successful data engineer.

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Good to know

Know what's good
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Explores Azure Synapse, Azure Databricks, Azure Data Factory, and Azure Stream Analytics, which are industry-standard tools for data engineering on Microsoft Azure
Develops foundational skills in data ingestion, preparation, and analysis, which are essential for aspiring data engineers
Taught by Brian Roehm, a recognized expert in data engineering and Microsoft Azure
Provides hands-on labs and interactive materials, which enhance the learning experience and reinforce concepts
Is part of a series of courses designed to prepare learners for the DP-203: Data Engineering on Microsoft Azure certification
Requires learners to have some prior knowledge and experience in data engineering concepts

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Career center

Learners who complete DP-203: Data Ingestion and Preparation will develop knowledge and skills that may be useful to these careers:
Data Architect
A Data Architect is responsible for designing and implementing data solutions. They will be working on projects that involve designing data models and data pipelines. This course may be useful for a Data Architect who wants to learn more about data ingestion and preparation using Azure.
Data Integration Architect
A Data Integration Architect is responsible for designing and implementing data integration solutions. They will be working on projects that involve integrating data from multiple sources. This course may be useful for a Data Integration Architect who wants to learn more about data ingestion and preparation using Azure.
Data Warehouse Architect
A Data Warehouse Architect is responsible for designing and implementing data warehouse solutions. They will be working on projects that involve building data warehouses for data analysis. This course may be useful for a Data Warehouse Architect who wants to learn more about data ingestion and preparation using Azure.
ETL Developer
An ETL Developer is responsible for developing and implementing ETL (Extract, Transform, and Load) solutions. They will be working on projects that involve extracting data from multiple sources, transforming it, and loading it into a data warehouse. This course may be useful for an ETL Developer who wants to learn more about data ingestion and preparation using Azure.
Big Data Architect
A Big Data Architect is responsible for designing and implementing big data solutions. They will be working on projects that involve processing large volumes of data. This course may be useful for a Big Data Architect who wants to learn more about data ingestion and preparation using Azure.
Data Engineer
A Data Engineer is responsible for building and maintaining data pipelines. They will be integrating data from multiple sources, and preparing it for analysis. Companies hire Data Engineers to clean, integrate, and prepare data for use in machine learning. This course may be useful for a Data Engineer who wants to learn more about data ingestion and preparation using Azure.
Data Scientist
A Data Scientist is responsible for developing and deploying machine learning models. They will be using data to build models that can make predictions or classifications. This course may be useful for a Data Scientist who wants to learn more about data ingestion and preparation using Azure.
Business Intelligence Developer
A Business Intelligence Developer is responsible for developing and implementing business intelligence solutions. They will be working on projects that involve building dashboards and reports for data analysis. This course may be useful for a Business Intelligence Developer who wants to learn more about data ingestion and preparation using Azure.
Database Administrator
A Database Administrator is in charge of the performance and security of databases. They will be responsible for creating, maintaining, and optimizing databases. This course may be useful for a Database Administrator who wants to learn more about data ingestion and preparation using Azure.
Database Developer
A Database Developer is responsible for designing and developing database solutions. They will be working on projects that involve creating and maintaining databases. This course may be useful for a Database Developer who wants to learn more about data ingestion and preparation using Azure.
Data Visualization Engineer
A Data Visualization Engineer is responsible for designing and developing data visualization solutions. They will be working on projects that involve creating data visualizations for data analysis. This course may be useful for a Data Visualization Engineer who wants to learn more about data ingestion and preparation using Azure.
Machine Learning Engineer
A Machine Learning Engineer is responsible for building, deploying, and monitoring machine learning models. They will be using data to build models that can make predictions or classifications. This course may be useful for a Machine Learning Engineer who wants to learn more about data ingestion and preparation using Azure.
Data Analyst
A Data Analyst is responsible for analyzing data to help businesses make better decisions. They will be using data to identify trends, patterns, and insights. This course may be useful for a Data Analyst who wants to learn more about data ingestion and preparation using Azure.
Cloud Engineer
A Cloud Engineer is responsible for designing, building, and maintaining cloud-based solutions. They will be working on a variety of projects, from small to large. This course may be useful for a Cloud Engineer who wants to learn more about data ingestion and preparation using Azure.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. They will be working on a variety of projects, from small to large. This course may be useful for a Software Engineer who wants to learn more about data ingestion and preparation using Azure.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in DP-203: Data Ingestion and Preparation.
Provides a comprehensive overview of Azure data services, including Azure Data Lake, Azure Cosmos DB, and Azure Synapse Analytics. It valuable resource for anyone looking to learn more about the Azure data platform.
Introduces data engineering concepts and techniques using Python. It covers data ingestion, transformation, and analysis, providing a practical approach to working with data in Python.

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