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CompTIA DataSys+ (DS0-002) Cert Prep

CompTIA DataSys+ (DS0-002) Cert Prep

8h 11mIntermediate2026-06-04

Authors

Mike Chapple

Mike Chapple

Teaching Professor at the University of Notre Dame

Course details

Prepare for CompTIA DataSys+ certification by reviewing fundamentals and advanced techniques in deployment, security, data integration, SQL, database management, and business continuity planning. Discover nuances of SQL, data types, and schema design to build a strong foundation. Explore advanced database security techniques including encryption, authentication, and data protection against modern threats. Learn how to maintain robust database systems with effective management strategies, including disaster recovery and business continuity plans. Integrate emerging technologies such as AI into your data systems workflows for enhanced performance and insights. Benefit from a curriculum aligned with the latest industry standards to ensure your skills remain relevant and competitive. Whether you aim to strengthen your current expertise or prepare for the CompTIA DataSys+ exam, this course is your gateway to advancement in the data systems field.

Learning objectives
Describe database fundamentals such as data types, SQL, and schemas.
List various database design and deployment methodologies.
Describe the key areas of data security, including encryption, authentication, and incident response.
Maintain database management with backup, disaster recovery, and business continuity planning.
Integrate data using AI, ETL processes, and other modern technologies.

Concepts

Introduction

  • Earning your DataSys+ certification
  • What you should know
  • Study resources

Domain 1 - Database Fundamentals

  • Overview of the database fundamentals domain

Understanding Data

  • The value of data
  • Structured vs. unstructured data
  • Tabular data
  • Key value pairs

Data Storage

  • Relational databases
  • OLTP and OLAP
  • Non-relational databases

Structured Query Language

  • Structured Query Language
  • SELECT statement
  • Sorting results
  • Filtering data
  • Aggregating data
  • String manipulation
  • Working with dates
  • Computed columns
  • Set operations
  • Join operations
  • Inner joins
  • Joining multiple tables
  • Outer joins
  • Windowing
  • Nested queries
  • Transactions and the ACID model
  • The BASE model
  • Table isolation levels

Database Programming

  • Triggers
  • Stored procedures and functions
  • Views
  • Scripting
  • Object-relational mapping

Domain 2 - Database Deployment

  • Overview of the database deployment domain

Database Planning

  • Requirements gathering
  • Database architecture factors
  • Service-level agreements
  • What is the cloud
  • Cloud service categories
  • Database as a service
  • Persistence
  • Database schema
  • Design documentation

Database Implementation and Deployment

  • Acquisition of assets
  • Phases of deployment
  • Client server architecture
  • Domain Name System (DNS)
  • Network ports
  • Load balancing
  • Multizone regions

Database Testing

  • Database quality checks
  • Schema compatibility testing
  • Stress testing
  • Regression testing

Database Validation

  • Data mapping
  • Data values
  • Query validation
  • Index analysis
  • Integrity and scalability validation

Domain 3 - Database Management and Maintenance

  • Overview of the database management and maintenance domain

Monitoring and Reporting

  • Trends to monitor
  • Baseline configuration and trending
  • Activity tracking
  • Transaction logs
  • System logs
  • Deadlock monitoring
  • Connection monitoring

Database Maintenance

  • Query optimization
  • Index optimization
  • Database statistics
  • Patch management
  • Database integrity checks
  • Data corruption checks
  • Audit log review
  • Performance tuning
  • Partitioning
  • Change management

Database Documentation

  • Maintaining data dictionaries
  • Maintenance documentation
  • Standard operating procedure (SOP) documentation

Data Management

  • Data redundancy
  • Data sharing

Domain 4 - Data and Database Security

  • Overview of the data and database security domain

Data Security Concepts

  • Encrypting data
  • Encryption key management
  • Data discovery
  • The data lifecycle
  • Data deidentification
  • Data obfuscation
  • Data suppression
  • Data destruction
  • Monitoring accounts
  • Monitoring connection requests
  • Database forensics
  • Code auditing

Compliance

  • Legal and compliance risks
  • Data privacy
  • General Data Protection Regulation (GDPR)
  • California Consumer Privacy Act (CCPA)
  • Data types
  • Data classification
  • Data loss prevention
  • Security policies
  • Data sovereignty and data residency

Authentication and Authorization

  • Identity and access management
  • Access controls
  • Usernames and access cards
  • Authentication factors
  • Multifactor authentication
  • Single sign-on and federation
  • Kerberos
  • OAuth and OpenID Connect
  • Digital certificates

Physical Security

  • Site and facility design
  • Data center environmental controls
  • Data center environmental protection
  • Physical access control
  • Visitor management

Logical Security

  • Firewalls
  • Port security
  • Zero trust architecture
  • Attack surface management

Data Systems Attacks

  • Preventing SQL injection
  • Data poisoning
  • Social engineering
  • Malware prevention
  • Ransomware

Domain 5 - Business Continuity

  • Overview of the business continuity domain

Disaster Recovery Planning

  • Disaster recovery
  • Disaster recovery documentation
  • Disaster recovery techniques
  • Testing BC DR plans

Backups

  • Backups
  • Restoring backups
  • Database dumping
  • Backup automation and testing
  • Disaster recovery sites
  • Backup retention and archiving

Domain 6 - Data Integration

  • Overview of the data integration domain

Data Acquisition

  • ETL and ELT processes
  • Database connectivity
  • Service connectivity
  • Remote access and file transfer
  • Data sources
  • Text files
  • JSON data
  • XML data

Troubleshooting Data Acqusition

  • Troubleshooting data issues
  • Troubleshooting connectivity issues
  • Troubleshooting encryption issues
  • Troubleshooting infrastructure limitations
  • Troubleshooting programming errors

AI and Emerging Technologies

  • AI and analytics
  • Generative AI
  • Robotic process automation
  • Data manipulation libraries
  • Human-in-the-loop
  • Virtual data warehouses

What's Next

  • Preparing for the exam

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