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Getting Started with Azure Data Workloads

Henry Been

This course will teach you about core data concepts including the different types of data, databases, and workloads, and the differences between batch and streaming data.

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This course will teach you about core data concepts including the different types of data, databases, and workloads, and the differences between batch and streaming data.

Are you wondering how to get started in the field of data? Do you want to build a foundational understanding of types of data and data workloads? In this course, Getting Started with Azure Data Workloads, you’ll learn to differentiate between different types of data, databases, and data workloads. First, you’ll explore the difference between structured and unstructured data. Next, you’ll discover different types of databases and data workloads. Finally, you’ll learn how to differentiate between batch data and streaming data. When you’re finished with this course, you’ll be able to decide if a problem is best solved using batch data or streaming data, and you'll have the skills and knowledge to become a successful data engineer.

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What's inside

Syllabus

Course Overview
Types of Data, Databases, and Workloads
Batch Data and Streaming Data

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops a foundational understanding of different data types, databases, and workloads, which are core skills for data engineers
Taught by Henry Been, who are recognized for their work in data engineering
Covers core data concepts that are highly relevant in industry
Explores the difference between batch data and streaming data, which is standard in industry

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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 Getting Started with Azure Data Workloads with these activities:
Organize course resources and notes
Enhance your understanding of course materials by organizing and reviewing notes, assignments, and other resources.
Show steps
  • Create a dedicated folder or notebook for course materials.
  • Organize resources by topic or module.
  • Summarize key concepts and insights from each resource.
Connect with experienced data engineers
Gain valuable insights and guidance from experienced data engineers to accelerate your learning journey.
Show steps
  • Attend industry events or join online communities to connect with data engineers.
  • Reach out to potential mentors and express your interest in learning from them.
  • Schedule regular meetings or discussions to gain insights and advice.
Review Python programming basics
Strengthen your Python programming skills to enhance your ability to work with and analyze data effectively.
Browse courses on Python Programming
Show steps
  • Review Python syntax and data structures.
  • Practice writing Python code for data manipulation tasks.
  • Complete coding exercises on platforms like Codecademy or HackerRank.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Complete tutorials on data ingestion methods
Gain hands-on experience with different data ingestion methods to enhance your understanding of data acquisition techniques.
Browse courses on Data Ingestion
Show steps
  • Find tutorials on Azure Data Factory or similar tools.
  • Follow the tutorials to create data pipelines and ingest data from various sources.
  • Experiment with different data formats and ingestion methods.
Attend a workshop on data visualization techniques
Expand your knowledge of data visualization techniques and best practices to effectively communicate insights from data.
Browse courses on Data Visualization
Show steps
  • Find and register for a workshop on data visualization.
  • Attend the workshop and actively participate in discussions.
  • Apply the learned techniques to your own data analysis projects.
Solve data engineering challenges on coding platforms
Enhance your problem-solving skills and deepen your understanding of data engineering concepts through coding challenges.
Browse courses on Algorithm Design
Show steps
  • Find coding challenges related to data engineering on platforms like LeetCode or HackerRank.
  • Attempt to solve challenges involving data structures, algorithms, and data manipulation techniques.
  • Review solutions and learn from best practices.
Develop a data storage strategy for a real-world scenario
Apply your knowledge of data storage options and design principles to create a practical data storage strategy.
Browse courses on Data Architecture
Show steps
  • Identify a specific business scenario that requires data storage.
  • Analyze data requirements, including data volume, access patterns, and performance needs.
  • Evaluate different data storage options (e.g., relational databases, NoSQL databases, cloud storage).
  • Design a data storage architecture and create a detailed implementation plan.

Career center

Learners who complete Getting Started with Azure Data Workloads will develop knowledge and skills that may be useful to these careers:
Data Architect
Data Architects design, manage, and implement data systems. They ensure that data is structured and organised in a way that meets business needs. This course will help you build a foundation in data concepts that is necessary for a role as a Data Architect.
See salaries and explore the career path for Data Architect
Data Engineer
You may be interested in becoming a Data Engineer. Data Engineers are responsible for managing data within a company's infrastructure. They use data to solve problems, such as improving efficiency and automating processes. This course may be helpful for you as it helps build a foundation for understanding data, databases, and workloads.
See salaries and explore the career path for Data Engineer
Data Analyst
Those with a more business-oriented and communicative approach to data may find success as a Data Analyst. Data Analysts interpret data and share it with stakeholders. This course will help you understand data and data workloads, which can help you succeed as a Data Analyst.
See salaries and explore the career path for Data Analyst
Database Administrator
Database Administrators maintain and optimise data storage systems. This can include working with cloud-based and on-premise databases. This course introduces foundational data concepts such as databases and data workloads. It may be useful as you begin your career as a Database Administrator.
See salaries and explore the career path for Database Administrator
Machine Learning Engineer
Those with an interest in the intersection of data and software may find success as a Machine Learning Engineer. Machine Learning Engineers develop, implement, and maintain machine learning models. This course can help you build a foundation for understanding real-world data applications, which can help you as a Machine Learning Engineer.
See salaries and explore the career path for Machine Learning Engineer
Data Scientist
If you are drawn to a more analytical and mathematical career path in data, consider becoming a Data Scientist. Data Scientists use mathematical models to derive insights from data. Taking this course may be useful for you because it will help you gain a foundational understanding of data concepts.
See salaries and explore the career path for Data Scientist
Data Warehouse Architect
Data Warehouse Architects design and build data warehouses, which are used to store and manage large amounts of data. This course will help you understand data and data workloads, which can help you succeed as a Data Warehouse Architect.
See salaries and explore the career path for Data Warehouse Architect
Data Integration Engineer
Data Integration Engineers build and manage the infrastructure that connects and integrates data from multiple sources. This course will help you build a foundation for understanding data and data workloads, which can be helpful for a role as a Data Integration Engineer.
See salaries and explore the career path for Data Integration Engineer
Software Engineer
If you are interested in a career as a software engineer with a focus on data-intensive applications, you may be interested in becoming a Software Engineer. This course can help you understand data and data workloads, which can be useful for building data applications.
See salaries and explore the career path for Software Engineer
Data Management Consultant
This course can help you develop a foundation for data concepts that may be useful if you are looking to enter the field of data management consulting.
See salaries and explore the career path for Data Management Consultant
Business Analyst
If you are interested in a career that focuses on analysing business data and developing solutions, consider becoming a Business Analyst. This course can help you build a foundation in data concepts, including types of data and data workloads.
See salaries and explore the career path for Business Analyst
Cloud Architect
Cloud Architects who work with data-intensive applications could benefit from this course. This course can help build your understanding of data concepts.
See salaries and explore the career path for Cloud Architect
Data Governance Analyst
Data Governance Analysts ensure that an organisation's data usage complies with regulations and standards. They also develop policies and procedures for data management. This course may be helpful for building a foundation in data concepts.
See salaries and explore the career path for Data Governance Analyst

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started with Azure Data Workloads.
Cover image
Database Systems: The Complete Book
Save
Provides a comprehensive textbook-level treatment of database systems concepts and technologies.
Database Systems: The Complete Book
Kindle Edition
$$$
Database Systems The Complete Book
Paperback
$$
Database Systems: The Complete Book
Hardcover
$$$$
Goal Student Access Code Card for Database Systems:...
Printed Access Code
$$
Cover image
Python for Data Analysis
Save
Provides a practical introduction to using Pandas for data analysis and manipulation in Python.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
Data Mining
Save
Provides a broad overview of data mining techniques and their applications.
Data Mining: Practical Machine Learning Tools and...
Paperback
$$$
DATA MINING, 4TH EDITION
Paperback
$$
Data Mining: Practical Machine Learning Tools and...
Kindle Edition
$$
Cover image
Managing Cloud Native Data on Kubernetes
Save
Provides a comprehensive guide to Cassandra, a wide-column, distributed database system.
Managing Cloud Native Data on Kubernetes:...
Paperback
$$
Managing Cloud Native Data on Kubernetes
Kindle Edition
$$
Cover image
Learning Spark
Save
Introduces the Spark framework and its use for large-scale data processing and analysis.
Learning Spark: Lightning-Fast Big Data Analysis
Paperback
$$
Cover image
Data-Intensive Text Processing with MapReduce
Save
Covers the use of the Hadoop MapReduce framework and related tools for data-intensive text processing.
Data-Intensive Text Processing with MapReduce...
Paperback
$$
Cover image
SQL: A Beginner's Guide, Fourth Edition
Save
Offers a beginner-friendly introduction to SQL, the standard language for accessing and manipulating relational databases.
SQL: A Beginner's Guide, Fourth Edition
Paperback
$$
SQL: A Beginner's Guide, Fourth Edition
Kindle Edition
$$
Cover image
Care Trajectory Management for Nurses - E-Book
Save
Offers a non-technical, easy-to-understand introduction to data management concepts and best practices.
Care Trajectory Management for Nurses - E-Book
Kindle Edition
$$
Care Trajectory Management for Nurses - Elsevier E...
Printed Access Code
$$

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Course image
Time
42 hours
Level
Introductory
Via
Pluralsight
Instructor
Henry Been
Language
English
Good to know
Develops a foundational understanding of different data types, databases, and workloads, which are core skills for data engineers
Taught by Henry Been, who are recognized for their work in data engineering
Covers core data concepts that are highly relevant in industry
Explores the difference between batch data and streaming data, which is standard in industry
Share and help others discover this course.
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