Corporate Data Architecture Training Course

Name: Data Architecture Training
Availability: InStock

Edstellar's instructor-led Data Architecture training course equips organizations with the expertise to design and optimize data architectures. Learn best practices in data modeling, database management, and data integration. Unlock the full potential of your data with Edstellar's comprehensive training.

Duration

35 - 40 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

View Course Outline Enquire Now

Looking for multiple trainings? Get a detailed quote for group training

About Learning Outcomes Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Data Architecture Corporate Training

The Data Architecture training course equips your team with the expertise to design, execute, and maintain a robust data architecture that aligns with your business goals. Through this immersive training program, your team will gain a deep understanding of data architecture principles, technologies, and best practices.

Every organization has unique training requirements. That's why we offer onsite and virtual Data Architecture training, allowing you to choose the option that best suits your team's needs and schedule. By investing in Data Architecture instructor-led training, you are empowering your team to harness the power of data to drive innovation, enhance decision-making, and achieve business growth.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Data Modeling Techniques
Data Modeling Techniques involve creating visual representations of data structures and relationships. This skill is important for data analysts and database developers to ensure efficient data management and informed decision-making.
Security Compliance
Security Compliance is the adherence to regulations and standards that protect sensitive data. this skill is important for roles in cybersecurity, risk management, and IT governance, ensuring organizations meet legal requirements and safeguard assets.
Architecture Analysis
Architecture Analysis is the evaluation of system structures and components to ensure they meet design requirements. This skill is important for software architects and engineers to optimize performance, scalability, and maintainability.
Lifecycle Management
Lifecycle Management is the process of overseeing a product's entire lifecycle, from inception to retirement. This skill is important for roles in product development and project management, ensuring efficiency, cost-effectiveness, and alignment with market needs.
Scalability Optimization
Scalability Optimization is the ability to design systems that efficiently handle growth. this skill is important for software engineers and system architects to ensure applications perform well under increased load.
Organizational Alignment
Organizational Alignment is the ability to ensure that all departments and teams work towards common goals. This skill is important for leadership roles, as it fosters collaboration, enhances efficiency, and drives overall success.

What Your Team Will Achieve After This Training

Apply data modeling techniques to ensure data accuracy and integrity
Implement effective data integration strategies for seamless data flow
Analyze and optimize data architectures for scalability and performance
Establish data governance frameworks to ensure compliance and security
Utilize best practices for data quality management and data lifecycle management
Design and develop powerful data architectures to support organizational objectives

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Enterprise Data

Understanding the Enterprise Data Problem
- Identifying data challenges and limitations in the enterprise
- Analyzing data quality issues and data silos
Using Disparate Data Sources
- Integrating data from various sources: databases, APIs, files, etc.
- Data extraction, transformation, and loading (ETL) processes
The Role of BI
- Introduction to Business Intelligence (BI) and its significance in data architecture
- Leveraging BI tools for data analysis and reporting

Architecting Your Data

Making Sense of Architectural Tiers
- Understanding the different tiers in data architecture: presentation, application, data, and infrastructure tiers
- Examining the purpose and interactions of each tier
Logical versus Physical Architecture
- Differentiating between logical and physical data architecture
- Designing logical data models and mapping them to physical database structures
Abstraction versus Isolation
- Understanding the concept of abstraction in data architecture
- Implementing data isolation techniques for security and performance optimization
Security Implications
- Addressing data security concerns in data architecture
- Implementing security measures such as access controls and encryption

Designing a Middle Tier

Modeling your data
- Data modeling techniques and best practices
- Entity-relationship (ER) diagrams and data modeling tools
Creating Entities
- Defining entities and attributes based on business requirements
- Establishing relationships between entities
Evaluating the Design
- Assessing the effectiveness and efficiency of the data architecture design
- Conducting design reviews and incorporating feedback
Scaling Out Technologies
- Strategies for scaling data architecture to accommodate growing data volumes
- Technologies and approaches for horizontal scaling and distributed data processing

Using SQL Server 2005

Using the CLR Integration
- Leveraging Common Language Runtime (CLR) integration for enhanced functionality in SQL Server 2005
- Writing and executing CLR functions and stored procedures
Using the XML Data Type
- Storing and querying XML data in SQL Server 2005
- XML schema validation and manipulation
Scaling out Solutions
- Scaling SQL Server 2005 for improved performance and high availability
- Implementing clustering, mirroring, and replication techniques
SqlCacheDependency
- Utilizing SqlCacheDependency to enable cache synchronization with database changes
- Improving application performance through query result caching

Using ADO.NET 2.0

The Provider Model
- Understanding the ADO.NET provider model for data access
- Exploring different types of data providers (e.g., SQL Server, Oracle, ODBC)
Readers versus DataSets
- Comparing and contrasting the usage of data readers and datasets in ADO.NET
- Understanding the benefits and trade-offs of each approach
Concurrency
- Managing concurrent data access and handling conflicts
- Implementing optimistic and pessimistic concurrency control strategies
Typed DataSets
- Creating and working with typed datasets for strongly-typed data access
- Generating typed dataset classes using Visual Studio or command-line tools
ETL in ADO.NET
- Extracting, transforming, and loading data using ADO.NET
- Performing data transformations and data cleansing operations

Building Business Objects

Basic Object Building
- Creating business objects for data abstraction and encapsulation
- Implementing properties, methods, and relationships in business objects
Relationship management
- Establishing relationships between business objects
- Handling associations, aggregations, and composition
Lazy Loading Schemes
- Implementing lazy loading strategies to optimize object retrieval
- Loading related data on-demand to improve performance
DAL Solutions
- Exploring Data Access Layer (DAL) patterns and frameworks
- Implementing DAL components for data retrieval and persistence
Web Service versus Remoting
- Comparing and contrasting web service and remoting approaches for distributed data access
- Evaluating the pros and cons of each approach in different scenarios
Enabling Data Binding
- Implementing data binding capabilities in business objects
- Integrating with user interface components for seamless data presentation and manipulation

Consuming Data in ASP.NET 2.0

Data Binding
- Understanding data binding concepts and techniques in ASP.NET
- Binding data to web controls for displaying and manipulating data
Understanding DataSources
- Exploring different data sources available in ASP.NET (e.g., databases, XML, objects)
- Configuring and utilizing data source controls for data retrieval and binding
SqlDataSource
- Using the SqlDataSource control for simplified data access in ASP.NET
- Configuring SQL statements, parameters, and data caching
ObjectDataSource
- Leveraging the ObjectDataSource control for binding to business objects
- Defining object methods and mapping to data operations
Custom DataSources
- Implementing custom data sources for specialized data retrieval scenarios
- Creating custom data source controls or providers
GridView, FormView, and DetailView overview
- Exploring key data-bound controls in ASP.NET for tabular and detail views
- Configuring and customizing these controls for data presentation and editing
Caching Data
- Implementing data caching techniques to improve performance and reduce database load
- Configuring cache dependencies and expiration policies

Consuming Data in Windows Forms

Data Binding
- Understanding data binding concepts in Windows Forms applications
- Binding data to controls for displaying and editing data
Binding Sources
- Utilizing binding sources for managing data binding in Windows Forms
- Handling events and synchronization with underlying data objects
Binding Navigator
- Implementing a binding navigator for simplified navigation and manipulation of data
- Adding functionality for record navigation, adding, deleting, and saving data
Change Notification
- Implementing change notification mechanisms to detect and handle data changes
- Notifying UI elements and updating data in response to changes
Simple versus List Binding
- Understanding the differences between simple binding and list binding in Windows Forms
- Selecting the appropriate binding mode based on data scenarios
Working with BindingContext
- Managing data binding using the BindingContext object
- Controlling the behavior and synchronization of multiple data-bound controls
Parent-Child Data Binding
- Binding hierarchical data structures in Windows Forms applications
- Handling master-detail relationships and displaying nested data

Consuming Data in WPF

Data Binding
- Understanding the powerful data binding capabilities in WPF
- Binding data to visual elements for dynamic and responsive UIs
Binding Custom Objects
- Binding to custom objects and complex data structures in WPF
- Defining and mapping properties for data binding
Notification in Data Binding
- Implementing property change notification mechanisms for data binding
- Utilizing the INotifyPropertyChanged interface and dependency properties
Binding Types
- Exploring different types of data binding in WPF (e.g., one-way, two-way, and one-time binding)
- Selecting the appropriate binding mode for different scenarios
Making Sense of Declarative Binding Syntax
- Understanding the XAML syntax for declarative data binding in WPF
- Configuring bindings using markup extensions and path expressions
Using Data Context
- Managing the data context in WPF applications
- Setting the data context for visual elements and their child elements

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Architects
Database Administrators
Data Engineers
IT Architects
Solution Architects
Enterprise Architects
Data Managers
Business Intelligence Developers
Systems Engineers
Information Architects
Data Integration Specialists
Cloud Architects

What are the Prerequisites?

The Data Architecture training course requires basic knowledge of data models, data management concepts, and database familiarity is advantageous.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

View Pricing Options

Enquire now

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

View Pricing Options

Enquire now

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

View Pricing Options

Enquire now

What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"The Data Architecture training provided me with comprehensive capabilities that elevated my expertise. As a Lead Analytics Engineer, I needed to understand practical applications deeply, and this course delivered perfectly. The case studies gave me hands-on experience with industry best practices. My ability to architect solutions and solve complex problems has improved substantially. Highly recommend for anyone serious about this field.”

Carol Gilbert

Lead Analytics Engineer,

Global Technology Solutions Provider

"The Data Architecture training provided critical insights into advanced methodologies that enhanced my consulting capabilities. As a Senior Database Administrator, I now leverage expert-led workshops with expertise to deliver on interactive labs prepared me perfectly for real-world client scenarios. Our solution delivery efficiency and quality have increased substantially across the board, demonstrating immediate value from this investment.”

Huang Liang

Senior Database Administrator,

Technology Consulting Services Company

"This Data Architecture course provided our team with comprehensive strategic frameworks capabilities we immediately put into practice. As a Principal ETL Developer managing complex technical mastery projects, the that significantly enhanced our delivery capacity. We've successfully deployed these methodologies across all regional operations centers. The training fundamentally improved our team's performance metrics and overall efficiency.”

Meera Joshi

Principal ETL Developer,

Enterprise Software Development Firm

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

We have Expert Trainers to Meet Your Data Architecture Training Needs

The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

Raghunathan

Trivandrum, India

Trainer since

August 1, 2009

Corporate Data Architecture Training Course

Drive Team Excellence with Data Architecture Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Enterprise Data

Architecting Your Data

Designing a Middle Tier

Using SQL Server 2005

Using ADO.NET 2.0

Building Business Objects

Consuming Data in ASP.NET 2.0

Consuming Data in Windows Forms

Consuming Data in WPF

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

We have Expert Trainers to Meet Your Data Architecture Training Needs

Explore More Courses