In this course, the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics.
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
This training is set up in a way to ensure you can put everything you learn directly into practice. The highly experienced and certified trainer from Computrain will cover the theory and show you practical demonstrations. The hands-on lab exercises help you in optimally processing the subject matter. The ratio between theory and practice is approximately 50-50.
Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
AZ-900 - Azure Fundamentals
DP-900 - Microsoft Azure Data Fundamentals
This training uses the official, digital, Microsoft Official Courseware (MOC) in English. You also get access to our modern online learning environment, e-Connect. This environment contains all information needed for the training as well as some additional information. With e-connect, you can easily communicate with the other participants.
Je volgt de bijeenkomsten uit dit programma klassikaal op een locatie naar keuze. Omdat je binnen een groep veel van elkaar leert, bieden we je een alternatieve locatie aan wanneer er voor jouw voorkeurslocatie onvoldoende aanmeldingen zijn. Onze leslocaties zijn gevestigd door heel Nederland. Voor meer informatie over onze opleidingsvarianten, zie de pagina !!GEEN VERWIJZING!! op onze website.