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HRD Corp Approved Training Provider Malaysia - Industrial 4.0 Certification Training and Education

DP-603T00 Implement a Real-Time Intelligence solution with Microsoft Fabric

The DP-603T00 Implement a Real-Time Intelligence Solution with Microsoft Fabric course provides a deep dive into real-time data processing and analytics. Learn how to ingest, transform, store, and visualize live data using Microsoft Fabric. Explore real-time eventstreams, eventhouse integration, and advanced querying with KQL. Understand how to automate actions and optimize real-time dashboards to gain instant insights from streaming data.

This course covers key components of Microsoft Fabric’s Real-Time Intelligence, equipping you with the skills to create scalable, high-performance data solutions. By the end of the course, you will be proficient in managing eventstreams, utilizing materialized views, and implementing best practices for real-time dashboards, making you a valuable asset in data analytics and business intelligen

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M247

Fee

MYR1,000.00

Course Date

Course Time

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Disclaimer:

The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

We may provide consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1 Get started with Real-Time Intelligence in Microsoft Fabric

  • What is real-time data analytics?
  • Real-Time Intelligence in Microsoft Fabric
  • Ingest and transform real-time data
  • Store and query real-time data
  • Visualize real-time data
  • Automate actions
  • Explore Real-Time Intelligence in Fabric

Topic 2 Use real-time eventstreams in Microsoft Fabric

  • Components of eventstreams
  • Eventstream sources and destinations
  • Eventstream transformations
  • Ingest real-time data with Eventstream in Microsoft Fabric

Topic 3 Work with real-time data in a Microsoft Fabric eventhouse

  • Get started with an eventhouse
  • Use KQL effectively
  • Materialized views and stored functions
  • Work with data in a Microsoft Fabric eventhouse

Topic 4 Create Real-Time Dashboards with Microsoft Fabric

  • Get started with real-time dashboards
  • Advanced features
  • Real-Time Dashboard best practices
  • Get started with real-time dashboards

Course Info

This is a intermediate course. The following knowledge is assumed

  • Basic programming
  • Basic electronics
  • Basic Raspberry Pi

Software Requirement

Please install the following software prior to the class

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1-     HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2-     Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

3-     First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my

Second, Click Application

4-     Click Grant on the left side under Applications

5-     Click Apply Grant on the left side under Applications

6-     Click Apply

7-     Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

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Select your desired training programme.

Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.

Explain the background and objective of this training.

Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.

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Insert MiCAS Application number

13-  Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:

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25-  Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.

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27-  Complete the declaration form and select a desired officer

28-  Add all the required documents, then click Add Attachment. Then, click Save and Submit Application

29-  Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

Job Roles

  • Real-Time Data Engineer
  • Data Streaming Specialist
  • Data Analyst
  • Business Intelligence Developer
  • Cloud Data Engineer
  • Machine Learning Engineer
  • Event-Driven Architect
  • IoT Data Analyst
  • Database Administrator
  • Solutions Architect
  • Data Science Engineer
  • KQL Query Specialist
  • ETL Developer
  • Data Pipeline Engineer
  • AI & Automation Engineer
  • Cloud Solutions Architect
  • Big Data Analyst
  • DevOps Engineer for Data Pipelines
  • Data Governance Specialist
  • IT Infrastructure Manager

Trainers

Nouar AlDahoul: Nouar AlDahoul is a PhD candidate in IIUM Malaysia. She is an AI researcher and developer. She has +6 years of hands-on experience in the machine learning field including deep and reinforcement learning. She has been working as a research assistant in different research centers such as UM, IIUM, MMU universities. She has published many papers in different journals and conferences. Her research interests are: Deep learning, Reinforcement learning, computer vision, Data visualization, Data analysis and embedded system.

Reza Khosravi: Reza Khosravi is the founder and CEO of Skymics Sdn Bhd a High Tech MSC status company in field of IT and Internet of Things Technology. He has over 15 years of experience in IT and Telecomunication. He is the inventor of the C65 embedded device. He graduated from Staffordshire University with MBA degree in IT.

  • More than 5 years of experiance in Smart Cities Solutions
  • Expert on Embedded System Design, Raspberry Pi and Arduino
  • Expert on IBM Blunix and IBM Watson
  • More than 3 years of experiance in filed of IoT solutions.
  • He is the designer of below IoT Projects in last 3 years.
  1. Smart Building System
  2. Energy Monitoring, Controlling and Saving
  3. Environmental Monitoring
  4. Flood detection and prediction system based on IoT and big data
  5. Online Weather Station Based on IoT
  6. Smart Farming System (Long Range Wireless Sensor Networks)
  7. Smart Hydroponic System Based on IoT
  8. IP TV and Digital Signage System
  9. RFID Payment Gateway Solutions
  10. GPS Tracking System
  11. Remote Sensing

Saeid Alizadeh: Saeid Alizadeh is a technopreneur specialized in field of IOT (Internet of things), Building Management System (BMS), Building Automation System (BAS), Automotive Hydroponics Systems, and generally sense, monitor and control mechanical and electrical equipment such as ventilation, lighting, power systems, fire systems, and security systems.

Saeid’s past experience on IoT application include:

  1. Smart Building System
  2. Energy Monitoring, Controlling and Saving
  3. Environmental Monitoring 
  4. Flood detection and prediction system based on IoT and big data 
  5. Online Weather Station Based on IoT
  6. Smart Farming System (Long Range Wireless Sensor Networks)
  7. Smart Hydroponic System Based on IoT
  8. IP TV and Digital Signage System
  9. RFID Solution 
  10. GPS Tracking System
  11. Remote Sensing

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