Corporate Data Architecture Training Course

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.

35 - 40 hrs
Instructor-led (On-site/Virtual)
Language
English
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Data Architecture Training

Drive Team Excellence with Data Architecture Training for Employees

Empower your teams with expert-led on-site/in-house or virtual/online Data Architecture Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Data Architecture corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Data Architecture group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

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.

Key Skills Employees Gain from Data Architecture Training

Data Architecture skills corporate training will enable teams to effectively apply their learnings at work.

  • Data Modeling Techniques
  • Security Compliance
  • Architecture Analysis
  • Lifecycle Management
  • Scalability Optimization
  • Organizational Alignment

Key Learning Outcomes of Data Architecture Training

Edstellar’s Data Architecture training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Data Architecture workshop, teams will to master essential Data Architecture and also focus on introducing key concepts and principles related to Data Architecture at work.


Employees who complete Data Architecture training will be able to:

  • 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

Key Benefits of the Data Architecture Corporate Training

Attending our Data Architecture classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Data Architecture training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Data Architecture.

  • Nurtures the skills to design, build, and maintain effective data architectures
  • Enhances ability to implement and maintain effective data policies and standards
  • Enables team members to understand and effectively manage complex data systems
  • Encourages creative approaches to using data for business growth and development
  • Develops the team’s expertise in safeguarding sensitive data and adhering to regulatory requirements

Data Architecture Training Topics and Outline

Our virtual and on-premise Data Architecture training curriculum is divided into multiple modules designed by industry experts. This Data Architecture training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Understanding the Enterprise Data Problem
    • Identifying data challenges and limitations in the enterprise
    • Analyzing data quality issues and data silos
  2. Using Disparate Data Sources
    • Integrating data from various sources: databases, APIs, files, etc.
    • Data extraction, transformation, and loading (ETL) processes
  3. The Role of BI
    • Introduction to Business Intelligence (BI) and its significance in data architecture
    • Leveraging BI tools for data analysis and reporting
  1. 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 
  2. Logical versus Physical Architecture
    • Differentiating between logical and physical data architecture
    • Designing logical data models and mapping them to physical database structures
  3. Abstraction versus Isolation
    • Understanding the concept of abstraction in data architecture
    • Implementing data isolation techniques for security and performance optimization
  4. Security Implications
    • Addressing data security concerns in data architecture
    • Implementing security measures such as access controls and encryption
  1. Modeling your data
    • Data modeling techniques and best practices
    • Entity-relationship (ER) diagrams and data modeling tools 
  2. Creating Entities
    • Defining entities and attributes based on business requirements
    • Establishing relationships between entities
  3. Evaluating the Design
    • Assessing the effectiveness and efficiency of the data architecture design
    • Conducting design reviews and incorporating feedback
  4. Scaling Out Technologies
    • Strategies for scaling data architecture to accommodate growing data volumes
    • Technologies and approaches for horizontal scaling and distributed data processing
  1. 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 
  2. Using the XML Data Type
    • Storing and querying XML data in SQL Server 2005
    • XML schema validation and manipulation
  3. Scaling out Solutions
    • Scaling SQL Server 2005 for improved performance and high availability
    • Implementing clustering, mirroring, and replication techniques
  4. SqlCacheDependency
    • Utilizing SqlCacheDependency to enable cache synchronization with database changes
    • Improving application performance through query result caching
  1. The Provider Model
    • Understanding the ADO.NET provider model for data access
    • Exploring different types of data providers (e.g., SQL Server, Oracle, ODBC) 
  2. 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
  3. Concurrency
    • Managing concurrent data access and handling conflicts
    • Implementing optimistic and pessimistic concurrency control strategies
  4. Typed DataSets
    • Creating and working with typed datasets for strongly-typed data access
    • Generating typed dataset classes using Visual Studio or command-line tools
  5. ETL in ADO.NET
    • Extracting, transforming, and loading data using ADO.NET
    • Performing data transformations and data cleansing operations
  1. Basic Object Building
    • Creating business objects for data abstraction and encapsulation
    • Implementing properties, methods, and relationships in business objects 
  2. Relationship management
    • Establishing relationships between business objects
    • Handling associations, aggregations, and composition
  3. Lazy Loading Schemes
    • Implementing lazy loading strategies to optimize object retrieval
    • Loading related data on-demand to improve performance
  4. DAL Solutions
    • Exploring Data Access Layer (DAL) patterns and frameworks
    • Implementing DAL components for data retrieval and persistence
  5. 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
  6. Enabling Data Binding
    • Implementing data binding capabilities in business objects
    • Integrating with user interface components for seamless data presentation and manipulation
  1. Data Binding
    • Understanding data binding concepts and techniques in ASP.NET
    • Binding data to web controls for displaying and manipulating data 
  2. 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
  3. SqlDataSource
    • Using the SqlDataSource control for simplified data access in ASP.NET
    • Configuring SQL statements, parameters, and data caching
  4. ObjectDataSource
    • Leveraging the ObjectDataSource control for binding to business objects
    • Defining object methods and mapping to data operations
  5. Custom DataSources
    • Implementing custom data sources for specialized data retrieval scenarios
    • Creating custom data source controls or providers
  6. 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
  7. Caching Data
    • Implementing data caching techniques to improve performance and reduce database load
    • Configuring cache dependencies and expiration policies
  1. Data Binding
    • Understanding data binding concepts in Windows Forms applications
    • Binding data to controls for displaying and editing data 
  2. Binding Sources
    • Utilizing binding sources for managing data binding in Windows Forms
    • Handling events and synchronization with underlying data objects
  3. Binding Navigator
    • Implementing a binding navigator for simplified navigation and manipulation of data
    • Adding functionality for record navigation, adding, deleting, and saving data
  4. Change Notification
    • Implementing change notification mechanisms to detect and handle data changes
    • Notifying UI elements and updating data in response to changes
  5. 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
  6. Working with BindingContext
    • Managing data binding using the BindingContext object
    • Controlling the behavior and synchronization of multiple data-bound controls
  7. Parent-Child Data Binding
    • Binding hierarchical data structures in Windows Forms applications
    • Handling master-detail relationships and displaying nested data
  1. Data Binding
    • Understanding the powerful data binding capabilities in WPF
    • Binding data to visual elements for dynamic and responsive UIs 
  2. Binding Custom Objects
    • Binding to custom objects and complex data structures in WPF
    • Defining and mapping properties for data binding
  3. Notification in Data Binding
    • Implementing property change notification mechanisms for data binding
    • Utilizing the INotifyPropertyChanged interface and dependency properties
  4. 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
  5. Making Sense of Declarative Binding Syntax
    • Understanding the XAML syntax for declarative data binding in WPF
    • Configuring bindings using markup extensions and path expressions
  6. Using Data Context
    • Managing the data context in WPF applications
    • Setting the data context for visual elements and their child elements

Data Architecture Corporate Training Prices

Our Data Architecture training for enterprise teams is tailored to your specific upskilling needs. Explore transparent pricing options that fit your training budget, whether you're training a small group or a large team. Discover more about our Data Architecture training cost and take the first step toward maximizing your team's potential.

Request for a quote to know about our Data Architecture corporate training cost and plan the training initiative for your teams. Our cost-effective Data Architecture training pricing ensures you receive the highest value on your investment.

Request for a Quote

Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your Data Architecture training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..

Starter Package

125 licenses

64 hours of training (includes VILT/In-person On-site)

Tailored for SMBs

Most Popular
Growth Package

350 licenses

160 hours of training (includes VILT/In-person On-site)

Ideal for growing SMBs

Enterprise Package

900 licenses

400 hours of training (includes VILT/In-person On-site)

Designed for large corporations

Custom Package

Unlimited licenses

Unlimited duration

Designed for large corporations

View Corporate Training Packages

Data Architecture Course Completion Certificate

Upon successful completion of the Data Architecture training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development. This certificate validates the employees' acquired skills and serves as a powerful motivator, inspiring them to further enhance their expertise and contribute effectively to organizational success.

Target Audience for Data Architecture Training Course

Data Architecture training course is for data architects, database administrators, IT managers, data analysts, data scientists, software developers, software engineers, business intelligence professionals, project managers, data governance officers, and compliance officers.

The Data Architecture training program can also be taken by professionals at various levels in the organization.

Data Architecture training for managers

Data Architecture training for staff

Data Architecture training for leaders

Data Architecture training for executives

Data Architecture training for workers

Data Architecture training for businesses

Data Architecture training for beginners

Data Architecture group training

Data Architecture training for teams

Data Architecture short course

Prerequisites for Data Architecture Training

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

Bringing you the Best Data Architecture Trainers in the Industry

The instructor-led Data Architecture 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 Data Architecture Access practices.

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Training Delivery Modes for Data Architecture Group Training

At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online Data Architecture training for companies. This method has proven to be the most effective, outcome-oriented and well-rounded training experience to get the best training results for your teams.

Training Mode
Virtual

Instructor-led Training

Engaging and flexible online sessions delivered live, allowing professionals to connect, learn, and grow from anywhere in the world.

Training Mode
On-Site

Instructor-led Training

Customized, face-to-face learning experiences held at your organization's location, tailored to meet your team's unique needs and objectives.

Training Mode
Off-site

Instructor-led Training

Interactive workshops and seminars conducted at external venues, offering immersive learning away from the workplace to foster team building and focus.

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