Modernizing Enterprise Data Architecture for Innovation from Pluralsight

This course teaches you how to modernize data architecture for innovation, which will help you as a data professional to better plan out and improve your organization’s data architecture to accommodate the growing need to embrace innovation.

With the importance and competitive edge that data provides to the organization, particularly in how it can be readily used to aid in decision-making, the need to modernize the existing data architecture of most companies for innovation to easily happen is even more heightened. In this course, Modernizing Enterprise Data Architecture for Innovation, you'll be able to gain the skills to improve the existing data architecture in your organization so that it's ready for any innovation project that will be implemented. First, you'll explore enterprise data architecture design. Next, you'll discover what it means to shift from on-premise to cloud-based platforms and to shift from batch to real-time data processing. Then, you'll learn exactly what it means and what it takes to shift from rigid data models to extensible data models, along with understanding the corresponding pros and cons of each option. Finally, you'll delve into how to simplify enterprise data architecture approached with modernization to enable innovation to be implemented easily within your belonging organization. When you’re finished with this course, you’ll have the skills and knowledge of a data architect, particularly the thinking processes that they go through to be able to improve and modernize a company’s existing data architecture so that innovation initiatives and projects can be easily implemented within your belonging organization.

What's inside

Syllabus

Course Overview

Overview of Enterprise Data Architecture Design

Shift from On-premise to Cloud-based Platforms

Shift from Batch to Real-time Data Processing

Rigid Data Models to Extensible Data Models

Simplifying Enterprise Data Architecture Approaches with Modernization

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines how to modernize data architecture for innovation, which is standard in industry for data architects

Taught by Wilvie Anora, who are recognized for their work in data architecture

Provides learners with skills to improve their organization's data architecture to support innovation projects

Develops skills in adapting data architecture to cloud-based platforms, real-time data processing, and extensible data models

Requires students to already have extensive background knowledge in data architecture

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Modernizing Enterprise Data Architecture for Innovation with these activities:

Read articles and research papers on emerging trends in data architecture

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Keeps learners up-to-date on the latest advancements and innovations shaping the field of data architecture.

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Identify reputable sources of information such as industry blogs, academic journals, and conference proceedings
Regularly read and summarize key insights from these sources

Review general data warehouse concepts

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Lessens the learning curve by reinforcing and refreshing basic data warehousing knowledge and skills.

Browse courses on Data Modeling

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Go over the general principles of data warehousing
Review the different types of data models used in data warehousing

Data Architecture Calculations and Exercises

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Sharpen your data architecture skills through hands-on calculations and exercises, solidifying your understanding of key concepts.

Browse courses on Data Architecture

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Calculate data storage requirements for various scenarios.
Design data models for different types of applications.
Optimize data queries for performance.

Six other activities

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Create a mindmap of the major components of a modern data architecture

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Solidfies understanding of the key components of a modern data architecture and their interrelationships.

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Start from the end goal of knowing the modern data architecture components
Brainstorm and jot down ideas, concepts, and notes
Map out and organize the ideas into a visual mindmap

Practice cloud-based data platform fundamentals (e.g., AWS, Azure, GCP)

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Develops familiarity and proficiency in working with cloud-based data platforms, which are essential for modern data architectures.

Browse courses on Cloud Data Management

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Create a free tier account on a cloud provider like AWS, Azure, or GCP
Explore the documentation and tutorials
Experiment with creating and managing data storage, compute, and other services

Join an online forum or community of data architects

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Fosters a sense of community, allows for knowledge sharing, and exposure to diverse perspectives and experiences.

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Search and join online forums or communities specifically for data architects
Introduce yourself and actively participate in discussions

Design and Develop Modern Data Architecture Plan

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Create a step-by-step guide for modernizing an existing data architecture, ensuring alignment with the course concepts and best practices.

Browse courses on Data Architecture

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Research and analyze existing data architecture.
Identify areas for improvement and innovation.
Design a modernized data architecture plan.
Develop a strategy for implementing the plan.

Develop a presentation on a specific aspect of data modernization

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Strengthens communication skills, deepens understanding through explanation, and encourages critical thinking.

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Choose a specific topic within the realm of data modernization
Research and gather relevant information from various sources
Craft a clear and engaging presentation outline
Develop supporting materials such as slides, handouts, or demos

Offer guidance to junior data architects or students

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Reinforces knowledge through teaching, provides opportunities for networking, and contributes to the community.

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Identify platforms or channels where you can connect with junior data architects or students
Offer your support and guidance through mentoring programs or Q&A forums

Career center

Learners who complete Modernizing Enterprise Data Architecture for Innovation will develop knowledge and skills that may be useful to these careers:

Data Architect

Data Architects are responsible for designing, building, and maintaining an organization's data architecture. They work with business stakeholders to understand their data needs and then design and implement a data architecture that meets those needs. This course can help you build the skills you need to become a successful Data Architect. You'll learn about enterprise data architecture design, cloud-based platforms, real-time data processing, and data models.

See salaries and explore the career path for Data Architect

Data Engineer

Data Engineers are responsible for building and maintaining the infrastructure that supports an organization's data architecture. They work with Data Architects to design and implement data pipelines and data warehouses. This course can help you build the skills you need to become a successful Data Engineer. You'll learn about cloud-based platforms, real-time data processing, and data models.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists are responsible for using data to solve business problems. They work with data from a variety of sources to build models that can predict future outcomes or identify trends. This course can help you build the skills you need to become a successful Data Scientist. You'll learn about real-time data processing, data models, and how to use data to solve business problems.

See salaries and explore the career path for Data Scientist

Database Administrator

Database Administrators are responsible for managing and maintaining an organization's databases. They work with Data Architects and Data Engineers to ensure that databases are running smoothly and that data is secure. This course can help you build the skills you need to become a successful Database Administrator. You'll learn about cloud-based platforms, real-time data processing, and data models.

See salaries and explore the career path for Database Administrator

Business Intelligence Analyst

Business Intelligence Analysts are responsible for using data to help businesses make better decisions. They work with data from a variety of sources to create reports and dashboards that can help businesses understand their performance and identify opportunities for improvement. This course can help you build the skills you need to become a successful Business Intelligence Analyst. You'll learn about real-time data processing, data models, and how to use data to solve business problems.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data. They work with data from a variety of sources to identify trends and patterns that can help businesses make better decisions. This course can help you build the skills you need to become a successful Data Analyst. You'll learn about real-time data processing, data models, and how to use data to solve business problems.

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Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. They work with a variety of technologies to build software that meets the needs of users. This course may be useful for Software Engineers who want to learn more about data architecture and data processing.

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Information Technology Manager

Information Technology Managers are responsible for managing an organization's IT infrastructure. They work with a variety of technologies to ensure that IT systems are running smoothly and that data is secure. This course may be useful for Information Technology Managers who want to learn more about data architecture and data processing.

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Project Manager

Project Managers are responsible for planning, executing, and closing projects. They work with a variety of stakeholders to ensure that projects are completed on time and within budget. This course may be useful for Project Managers who want to learn more about data architecture and data processing.

See salaries and explore the career path for Project Manager

Business Analyst

Business Analysts are responsible for understanding the needs of a business and then developing solutions to meet those needs. They work with a variety of stakeholders to gather requirements and develop solutions that meet the needs of the business. This course may be useful for Business Analysts who want to learn more about data architecture and data processing.

See salaries and explore the career path for Business Analyst