- • AWS data sources (S3, Kinesis, RDS, DynamoDB)
 - • Data ingestion pipelines (Glue, Athena, Lake Formation)
 
Course Includes:
- Price: $
 - Duration: 8 weeks
 - Enrolled: 950+ students
 - Language: English
 - Certificate: Yes Buy Now
 
                        
                    The digital world runs on data, and at the heart of most critical applications lies a relational database. As organizations rapidly migrate to the cloud, the role of the database administrator (DBA) is evolving. It’s no longer just about managing on-premises servers; it’s about harnessing the power, scalability, and intelligence of the cloud. For professionals looking to lead this transformation, mastering the administration of relational databases on Microsoft Azure is not just a skill—it’s a career accelerator.
Eazzy Learn is proud to demystify this journey with a focused course designed to equip you with the expertise needed to thrive in a cloud-first environment. This isn't just about learning buttons and menus; it's about understanding the philosophy of cloud database management.
A common misconception is that administering databases in Azure simply means installing SQL Server on a virtual machine (IaaS). While that is an option, Azure’s true power lies in its platform-as-a-service (PaaS) offerings, which abstract away much of the hardware and infrastructure management, allowing you to focus on what matters most: the data.
Our course delves deep into the core Azure relational database services:
This course is structured around the critical pillars that define a proficient Azure DBA:
Gone are the days of waiting for hardware procurement. We teach you how to use the Azure Portal, PowerShell, and ARM templates to deploy database resources in minutes. You’ll learn to make critical initial decisions on service tiers, compute sizes (DTUs vCores), and storage types that balance performance, resilience, and budget.
Security in the cloud is a shared responsibility. We move beyond basic logins to implement robust security models. This includes configuring Azure Active Directory authentication, managing firewall rules, implementing always-encrypted technology, using transparent data encryption (TDE), and defining fine-grained access controls with row-level security.
Performance management shifts from reactive firefighting to proactive intelligence. You will learn to leverage built-in Azure tools like Query Performance Insight and Database Advisor to identify bottlenecks. We cover indexing strategies, how to interpret execution plans in the cloud context, and utilize automatic tuning features that allow the platform to self-correct performance issues.
Azure builds resilience into its DNA. We break down the built-in HA/DR features of each service, from automated replicas and failover groups to point-in-time restore and geo-replication. You’ll learn how to design a strategy that meets your organization’s Recovery Time Objective (RTO) and Recovery Point Objective (RPO) without complex infrastructure setups.
Controlling spend is a fundamental admin task in the cloud. We provide practical strategies for monitoring and optimizing costs. You’ll learn to right-size resources, utilize reserved capacity for significant discounts, and understand the cost implications of your architectural choices, ensuring you deliver value without overspending.
The modern DBA is a hybrid professional—part data guardian, part performance engineer, and part cloud economist. This course is meticulously designed to bridge the gap between traditional knowledge and modern cloud requirements. You will gain hands-on experience through guided labs and real-world scenarios, ensuring you can confidently:
Embrace the future of data management. With Eazzy Learn, you won’t just learn to administer Azure databases; you’ll learn to master them, unlocking new levels of efficiency, scalability, and innovation for your organization and your career.
The AWS Certified Machine Learning – Specialty certification validates expertise in designing, implementing, and optimizing machine learning (ML) solutions on AWS. This course prepares professionals for the exam by covering data engineering, ML model development, deployment, and operational best practices using AWS AI/ML services.
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