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In this course, the students will implement various data platform technologies into solutions that are in-line with business and technical requirements, including on-premises, cloud, and hybrid data scenarios incorporating both relational and NoSQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.
The students will also explore how to implement data security, including authentication, authorization, data policies, and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing, and streaming data solutions.
TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.
Attendees to DP-200: Implementing an Azure Data Solution will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 4 days
Course Outline:
Azure for the Data Engineer
Working with Data Storage
Enabling Team Based Data Science with Azure Databricks
Building Globally Distributed Databases with Cosmos DB
Working with Relational Data Stores in the Cloud
Performing Real-Time Analytics with Stream Analytics
Orchestrating Data Movement with Azure Data Factory
Securing Azure Data Platforms
Monitoring and Troubleshooting Data Storage and Processing
Prerequisites :
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use
The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries
Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.
By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.
This hands-on course provides an intensive overview of fundamental UNIX commands that are common to all flavors of UNIX, but the focus is on RedHat. At the end of this course students will have a firm grasp of how the UNIX operating system works, how to accomplish powerful functions using multiple commands & most importantly of all, how to think UNIX. With the skills gained in this course, students can move on to RedHat System Administration I or Linux System Admnistration I.
Attendees of TN-125: Introduction to UNIX and Linux will receive course materials and expert Instruction.
