Microsoft Azure Big Data Analytics and Solutions Certification Training Course

Course Outline

Module 1: Introduction to Azure for Big Data

ü  The components of the Azure big data ecosystem

ü  Comparing different Azure services for data processing

ü  Understanding the role of a data engineer

ü  Setting up your Azure subscription and resource groups

ü  Practical Session: Navigating the Azure Portal and Creating Key Resources

Module 2: Azure Data Lake Storage

ü  The purpose of a data lake

ü  Understanding Data Lake Storage Gen2 (ADLS)

ü  Tiering storage and cost management

ü  Managing access control and security

ü  Practical Session: Ingesting Data into ADLS and Managing Permissions

Module 3: Azure Synapse Analytics - Part 1

ü  An overview of Azure Synapse Analytics

ü  Synapse SQL pools and serverless options

ü  Designing a data warehouse in Synapse

ü  Loading data into a dedicated SQL pool

ü  Practical Session: Building a Dedicated SQL Pool and Running Queries

Module 4: Azure Synapse Analytics - Part 2

ü  Using Synapse Spark for data processing

ü  The Synapse Studio environment

ü  Working with notebooks and Spark

ü  Analyzing data with Spark pools

ü  Practical Session: Using a Spark Pool to Process Data from a Data Lake

Module 5: Azure Databricks Fundamentals

ü  The Databricks platform and its use cases

ü  Understanding Spark and its architecture

ü  Working with Databricks notebooks and clusters

ü  Using Python, Scala, and SQL

ü  Practical Session: Running a Basic Data Transformation in a Databricks Notebook

Module 6: Advanced Databricks for Data Engineering

ü  Delta Lake for data reliability

ü  Streaming data with Structured Streaming

ü  The Medallion architecture (Bronze, Silver, Gold)

ü  Optimizing Spark jobs for performance

ü  Practical Session: Building a Data Lakehouse with Delta Lake

Module 7: Azure Data Factory and Data Orchestration

ü  The purpose of an ETL/ELT tool

ü  Creating and scheduling pipelines

ü  Using copy data and data flow activities

ü  Monitoring and debugging pipelines

ü  Practical Session: Building a Data Factory Pipeline to Automate a Workflow

Module 8: Streaming Data with Azure Services

ü  An overview of streaming data scenarios

ü  Using Azure Event Hubs and IoT Hub

ü  Real-time processing with Azure Stream Analytics

ü  The role of Spark Streaming

ü  Practical Session: Setting Up a Real-Time Data Ingestion Pipeline

Module 9: Data Governance and Security in Azure

ü  The principles of data governance

ü  Using Azure Purview for data discovery

ü  Implementing role-based access control (RBAC)

ü  Securing data at rest and in transit

ü  Practical Session: Configuring Security and Governance for a Big Data Project

Module 10: Monitoring and Performance Optimization

ü  Using Azure Monitor for health and performance

ü  Optimizing Spark and Synapse queries

ü  Cost management and budgeting

ü  Best practices for performance tuning

ü  Practical Session: Analyzing Performance Metrics and Optimizing a Query

Module 11: Integration with Power BI

ü  Connecting Power BI to Azure data sources

ü  DirectQuery vs. Import mode

ü  Creating reports and dashboards from big data

ü  Best practices for Power BI and big data

ü  Practical Session: Creating a Power BI Dashboard from a Synapse Analytics Database

Module 12: Machine Learning on Big Data

ü  An overview of Azure Machine Learning

ü  The role of ML in big data analytics

ü  Using Databricks for machine learning

ü  Building and deploying a simple ML model

ü  Practical Session: Training a Machine Learning Model on Big Data

Module 13: Introduction to Data Mesh on Azure

ü  The principles of data mesh

ü  Data domains and self-service data platforms

ü  Implementing a data mesh on Azure

ü  Organizational and cultural changes

ü  Practical Session: Designing a Data Mesh Architecture for a Hypothetical Company

Module 14: Data Warehousing vs. Data Lakehouse

ü  A deep dive into the pros and cons of each architecture

ü  When to use a data warehouse vs. a data lakehouse

ü  Migrating from a traditional data warehouse to a lakehouse

ü  Hybrid architectures

ü  Practical Session: Evaluating the Best Architecture for a Business Case

Module 15: Big Data Architecture Patterns

ü  The Lambda and Kappa architectures

ü  Reference architectures on Azure

ü  Common design patterns for big data

ü  Scalability, reliability, and security considerations

ü  Practical Session: Designing an Architecture for a Complex Business Scenario

Module 16: Building an End-to-End Solution

ü  A comprehensive review of all services learned

ü  Tying together all the components into a single solution

ü  The importance of documentation

ü  The solution delivery lifecycle

ü  Practical Session: Building a Complete End-to-End Big Data Pipeline

Module 17: Exam Preparation and Certification Overview

ü  The structure and content of the Azure big data certification exam

ü  Study strategies and best practices

ü  Review of key concepts and services

ü  Mock exam questions

ü  Practical Session: A Practice Certification Exam

Module 18: Capstone Project: End-to-End Big Data Pipeline

ü  Participants will build a full-scale big data solution

ü  The project will include ingestion, processing, and analysis

ü  Present their solution and receive expert feedback

ü  Final project review and certification

ü  Practical Session: Presenting a Comprehensive Big Data Solution

About Our Trainers

Our trainers are certified Microsoft Azure professionals and senior data architects with over 15 years of experience in designing and implementing big data solutions for Fortune 500 companies. They have a deep, practical understanding of the Azure ecosystem and have guided countless professionals to successful Azure big data certification. Their expertise ensures the training is not just theoretical but grounded in real-world, enterprise-level application.

Quality Statement

We are committed to delivering a superior training experience. Our Microsoft Azure Big Data Analytics corporate training features a meticulously designed curriculum, expert instruction, and a hands-on approach to ensure you leave with tangible, applicable skills. Our commitment to quality in the Azure big data training ensures your professional development is an excellent investment.

Admission Criteria

ü  Participants should be reasonably proficient in English. 

ü  Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free
2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.
3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.
4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254737296202

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, 5 days to the training.
2. Invoice: We can send a bill directly to you or your company.
3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
2. Participants may cancel attendance 14 days or more prior to the training commencement date.
3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor-Made Courses

We understand that every organization has unique challenges and opportunities as well as unique training needs. Phoenix Training Center offers tailor-made courses designed to address specific requirements and challenges faced by your team or organization. Whether you need a customized curriculum, a specific duration, or on-site delivery, we can adapt our expertise to provide a training solution that perfectly aligns with your objectives. We can customize this Course to focus on your industry, specific risk profile, or internal stakeholder dynamics. Contact us to discuss how we can create a bespoke training program that maximizes value and impact for your team. For further inquiries, please contact us on Tel: +254720272325 / +254737296202 or Email training@phoenixtrainingcenter.com

Accommodation and Airport Pick-up

For physical training attendees, we can assist with recommendations for accommodation near the training venue. Airport pick-up services can also be arranged upon request to ensure a smooth arrival. Please inform us of your travel details in advance if you require these services. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737296202