Embark on a comprehensive journey to become adept in designing and implementing data solutions using Microsoft Azure data services with the Microsoft Azure Data Engineering Associate (DP-203) course. This Professional Certificate equips data engineers and developers with the expertise to integrate, transform, and consolidate data from diverse sources into structures suitable for building analytics solutions using Azure data services.
Throughout the course, you will delve into various modules, commencing with understanding the diverse data platform technologies available and how to leverage them for organizational benefit. You will master data storage management in Azure, data integration with Microsoft Azure Data Factory, and delve into Microsoft Azure Synapse Analytics to build Data Warehouses using modern architecture patterns. Additionally, you will explore operational analytics with Microsoft Azure Synapse Analytics, Microsoft Azure Databricks for Data Engineering, and Azure Data Lake Storage Gen2 and Data Streaming Solution. The program culminates with preparation for the DP-203: Data Engineering on Microsoft Azure Exam, ensuring that you are fully equipped to demonstrate proficiency in the skills measured in the exam.
Enroll in the Microsoft Azure Data Engineering Associate (DP-203) course to elevate your expertise and proficiency in the realm of data engineering with Microsoft Azure.
Certificate Available ✔
Get Started / More Info
Master the design and implementation of data solutions using Microsoft Azure data services with 10 comprehensive courses, including Microsoft Azure for Data Engineering, Data Storage in Microsoft Azure, Data Integration with Microsoft Azure Data Factory, and more.
You will learn the various data platform technologies available and how to take advantage of this technology to an organization's benefit. Choose Microsoft Azure data technologies that meet different business needs and scale to meet demands securely. Describe common data engineering practices and explain the differences between on-premises and cloud data solutions.
Delve into 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, develop data processing, and monitor and optimize data storage and data processing.
Learn to create and manage data pipelines in the cloud and integrate data at scale with Azure Synapse Pipeline and Azure Data Factory.
Discover how to use Azure Synapse Analytics to build Data Warehouses using modern architecture patterns, describe its features and components, and use Azure Synapse Studio application to interact with the various components of Azure Synapse Analytics.
Explore how to design a Modern Data Warehouse using Azure Synapse Analytics, manage, optimize, and secure a data warehouse, and design a multidimensional schema to optimize analytical workloads.
Learn to perform data engineering with Azure Synapse Apache Spark Pools to boost the performance of big-data analytic applications, ingest data using Apache Spark Notebooks, transform data using DataFrames in Apache Spark Pools, and monitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics.
Discover how to perform operational analytics against Azure Cosmos DB using the Azure Synapse Link feature within Azure Synapse Analytics, query Azure Cosmos DB with SQL Serverless/Apache Spark, configure and enable Azure Synapse Link, and use hybrid transactional and analytical processing to perform operational analytics with Azure Synapse Analytics.
Gain insights into working with large amounts of data from multiple sources in different raw formats, creating production workloads on Azure Databricks with Azure Data Factory, building and querying a Delta Lake, and performing data transformations in DataFrame.
Learn to use Azure Data Lake Storage to make processing Big Data analytical solutions more efficient, set up a stream analytics job to stream data and manage a running job, describe the concepts of event processing and streaming data, and use Advanced Threat Protection to proactively monitor your system and upload data to Data Lake Storage Gen2.
Refresh and test your knowledge of the skills mapped to all the main topics covered in the DP-203 exam, demonstrate proficiency in the skills measured in Exam DP-203: Data Engineering on Microsoft Azure, outline the key points covered in the Microsoft Data Engineer Associate Specialization, and describe best practices for preparing for the Exam DP-203: Data Engineering on Microsoft Azure.
Creating a Looker Modeled Query and Working with Quick Start
Harnessing the Power of Data with Power BI equips learners with essential data analysis skills using Microsoft Power BI, leading to data-driven decisions and successful...
Redes neuronales convolucionales con Keras es un curso práctico para aprender a generar redes convolucionales con Python y Keras en menos de 2 horas.
Data Visualization is essential for understanding complex data. This course equips students with skills to create compelling visualizations using R.