☁️ Certified Azure Data Analytics Engineer: Big Data and Cloud Analytics Training Course (DP-203 Aligned)

Course Outline

Module 1: Introduction to the Azure Data Ecosystem

ü  Overview of Azure Data Analytics Training Services

ü  Understanding the Modern Data Warehouse Architecture

ü  Defining Azure Big Data Workloads and Use Cases

ü  Key Azure Data Services: Synapse, ADF, ADLS, Purview

ü  Practical Session: Setting up an Azure Data Services Environment

Module 2: Implementing Azure Data Lake Storage Gen2 (ADLS Gen2)

ü  Architecture and Features of ADLS Gen2

ü  Hierarchical Namespace and File System Operations

ü  Data Tiering and Cost Optimization Strategies

ü  Securing Data at Rest in ADLS Gen2

ü  Practical Session: Creating and Configuring ADLS Gen2 with Security

Module 3: Designing and Implementing Azure Synapse Analytics

ü  Introduction to the Azure Synapse Workspace

ü  Components: SQL Pools, Spark Pools, Data Explorer

ü  Use Cases for Synapse Serverless vs. Dedicated SQL Pools

ü  Data Ingestion into Azure Synapse

ü  Practical Session: Provisioning and Exploring the Synapse Workspace

Module 4: Ingesting Data with Azure Data Factory (ADF)

ü  ADF Architecture and Core Concepts (Linked Services, Datasets, Pipelines)

ü  Using the Copy Data Activity for Bulk Ingestion

ü  Triggering and Scheduling ADF Pipelines

ü  Integrating ADF with Azure Key Vault

ü  Practical Session: Building an ETL Pipeline with ADF Copy Activity

Module 5: Data Integration and Transformation with Azure Synapse Pipelines

ü  Introduction to Synapse Pipelines and Data Flows

ü  Data Flow Transformations (Joins, Aggregates, Derived Columns)

ü  Parameterization and Dynamic Content in Pipelines

ü  Mapping Data Flows for Code-Free ETL/ELT

ü  Practical Session: Implementing Complex Data Transformation using Mapping Data Flows

Module 6: Working with Data in Azure Synapse Spark

ü  Introduction to Apache Spark Pools in Synapse

ü  Using Spark Notebooks for Data Exploration and Transformation

ü  Reading and Writing Data to ADLS Gen2 using Spark

ü  Optimizing Spark Performance and Resource Allocation

ü  Practical Session: Data Wrangling using PySpark in Synapse Notebooks

Module 7: Building Data Warehouses with Synapse SQL Pools

ü  Synapse Dedicated SQL Pool Architecture (Massively Parallel Processing - MPP)

ü  Choosing the Optimal Distribution Key and Indexing Strategy

ü  Using PolyBase and COPY command for Data Loading

ü  Best Practices for Query Performance Tuning

ü  Practical Session: Designing Tables and Loading Data into a Dedicated SQL Pool

Module 8: Securing Data in Azure Synapse Analytics

ü  Role-Based Access Control (RBAC) and Security Models

ü  Row-Level Security (RLS) and Column-Level Security (CLS)

ü  Data Masking and Encryption at Rest and in Transit

ü  Auditing and Threat Detection for Synapse

ü  Practical Session: Implementing RLS and CLS in Synapse SQL

Module 9: Monitoring and Optimizing Data Analytics Solutions

ü  Using Azure Monitor and Log Analytics for Solution Monitoring

ü  Performance Tuning for ADF Pipelines and Synapse Queries

ü  Cost Management and Auto-Scaling of Compute Resources

ü  Troubleshooting Common Azure Big Data Training Failures

ü  Practical Session: Configuring Alerts and Monitoring in Azure Monitor

Module 10: Real-Time Analytics with Azure Stream Analytics

ü  Introduction to Stream Analytics and its Query Language (SQL-like)

ü  Defining Inputs (Event Hub, IoT Hub) and Outputs (Power BI, Cosmos DB)

ü  Windowing Functions (Tumbling, Hopping, Sliding)

ü  Geo-Spatial Functions for Real-Time Location Analytics

ü  Practical Session: Creating a Real-Time Dashboard using Stream Analytics and Power BI

Module 11: Event Processing with Azure Event Hubs and IoT Hub

ü  Architecture and Use Cases for Azure Event Hubs

ü  Event Producers, Consumers, and Consumer Groups

ü  Integrating IoT Hub for Device-to-Cloud Messaging

ü  Capturing Events to ADLS Gen2 for Long-Term Storage

ü  Practical Session: Sending and Capturing Events using Azure Event Hubs

Module 12: Implementing Data Governance with Azure Purview

ü  Introduction to Data Governance and Compliance

ü  Auto-Discovering and Cataloging Data Assets with Purview

ü  Data Lineage Tracking and Metadata Management

ü  Securing Access and Data Sharing via Purview

ü  Practical Session: Registering Data Sources and Viewing Data Lineage in Purview

Module 13: Working with NoSQL Data Stores (Azure Cosmos DB)

ü  Core Concepts: Document, Key-Value, Column-Family APIs

ü  Partitioning and Indexing Strategies for Cosmos DB

ü  Consistency Levels and Performance Implications

ü  Integrating Cosmos DB with Synapse Analytics (Synapse Link)

ü  Practical Session: Creating a Cosmos DB Container and Ingesting Data

Module 14: Designing Batch Processing Solutions

ü  Comparing and Choosing between ADF, Databricks, and Synapse Spark for Batch

ü  Implementing Incremental Data Loading Strategies

ü  Handling Late-Arriving and Out-of-Order Data

ü  Designing a Fault-Tolerant Batch Architecture

ü  Practical Session: Implementing a Change Data Capture (CDC) Pipeline

Module 15: Designing Stream Processing Solutions

ü  Comparing Azure Stream Analytics with Spark Structured Streaming

ü  Designing a Low-Latency Real-Time Architecture

ü  State Management in Stream Processing

ü  Monitoring and Alerting for Stream Health

ü  Practical Session: Building a Structured Streaming Application in Synapse Spark

Module 16: Orchestrating Data Movement with Azure Functions

ü  Using Azure Functions for Serverless Data Orchestration

ü  Triggering ADF Pipelines via Azure Functions

ü  Writing Custom Transformation Logic with Python/C#

ü  Cost-Effective Scheduling of Data Tasks

ü  Practical Session: Triggering an ADF Pipeline via an HTTP Triggered Azure Function

Module 17: Data Visualization and Reporting with Power BI

ü  Connecting Power BI to Synapse SQL and Spark

ü  DirectQuery vs. Import Mode for Big Data

ü  Creating Interactive Dashboards and Reports

ü  Implementing Security (RLS) from Synapse to Power BI

ü  Practical Session: Building a Power BI Dashboard from Synapse Data

Module 18: Review and Preparation for Azure Big Data Certification

ü  Comprehensive Review of DP-203 Exam Objectives

ü  Deep Dive into Key Conceptual Areas (Security, Optimization, Design)

ü  Strategies for Answering Scenario-Based Exam Questions

ü  Final Practice Test and Q&A Session

ü  Practical Session: Review and Refinement of Final Data Project Architecture

About Our Trainers

Our trainers are certified Microsoft Data Engineers and Architects with over 15 years of industry experience, specializing in Azure Big Data solutions. They hold multiple advanced Azure Big Data Certification credentials and have personally led the design and implementation of large-scale cloud data analytics platforms for Fortune 500 companies. Their expertise is deeply rooted in real-world challenges, ensuring the azure analytics training is not just theoretical but immediately relevant and practical.

Quality Statement

Phoenix Training Center is committed to providing a leading-edge Azure Data Analytics Training program. Our curriculum is constantly updated to reflect the latest Azure services, features, and best practices. We guarantee a high-quality, hands-on learning experience designed to prepare every participant for their Azure Big Data Certification and professional success.

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