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ONLC Training Centers See all classes by this school @ Online Classroom
Build foundational knowledge of cloud concepts, core Azure services, security, compliance, and pricing, with a focus on Microsoft's cloud solutions. A strong fit for IT professionals broadening their grasp of cloud computing and Azure offerings.
ONLC Training Centers See all classes by this school @ Online Classroom
Azure is a comprehensive suite of cloud services that system administrators, developers, and IT pros use to build, deploy, and manage applications across a global network of datacenters. Integrated tools, DevOps, and a marketplace support you in efficiently creating anything from simple mobile apps to internet-scale solutions.
ONLC Training Centers See all classes by this school @ Online Classroom
Build a solid foundation in cloud data services with a focus on storage, security, and accessibility. Get hands-on with managing cloud data and explore the latest tools to sharpen your data skills.
ONLC Training Centers See all classes by this school @ Online Classroom
Tap into Microsoft Azure for administering relational databases. Build expertise in deploying, securing, and optimizing SQL Server databases across cloud, on-premises, and hybrid environments. Strengthen your skills to meet the demands placed on data management pros and developers in today's evolving technological landscape.
ONLC Training Centers See all classes by this school @ Online Classroom
Learn how to design and apply effective DevOps processes and practices in this comprehensive course from ONLC Training Centers. Build the knowledge and skills to plan for DevOps, use source control, set up continuous integration, and more. A strong fit for anyone rolling out DevOps or pursuing the Microsoft Azure DevOps Solutions certification.
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In Data Engineering on Microsoft Azure Associate (Data Engineer) 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. In Data Engineering on Microsoft Azure Associate (Data Engineer) training 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.
Course Objectives
Prerequisites (Required):
Target Audience
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 course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
A student who cancels within 7 days of signing the enrollment agreement but before instruction begins receives all monies returned with the exception of the non-refundable registration fee.
Thereafter, a student will be liable for:
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