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Getting Started with Azure Data Workloads

Henry Been

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

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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.

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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.

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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.

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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.

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Cover image

Database Systems: The Complete Book

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Provides a comprehensive textbook-level treatment of database systems concepts and technologies.

Database Systems: The Complete Book

Database Systems The Complete Book

Database Systems: The Complete Book

Goal Student Access Code Card for Database Systems:...

Printed Access Code

Cover image

Cover image

Python for Data Analysis

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Provides a practical introduction to using Pandas for data analysis and manipulation in Python.

Python for Data Analysis

Python for Data Analysis

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Cover image

Save

Provides a broad overview of data mining techniques and their applications.

Data Mining: Practical Machine Learning Tools and...

DATA MINING, 4TH EDITION

Data Mining: Practical Machine Learning Tools and...

Cover image

Cover image

Managing Cloud Native Data on Kubernetes

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Provides a comprehensive guide to Cassandra, a wide-column, distributed database system.

Managing Cloud Native Data on Kubernetes:...

Managing Cloud Native Data on Kubernetes

Cover image

Cover image

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Introduces the Spark framework and its use for large-scale data processing and analysis.

Learning Spark: Lightning-Fast Big Data Analysis

Cover image

Cover image

Data-Intensive Text Processing with MapReduce

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Covers the use of the Hadoop MapReduce framework and related tools for data-intensive text processing.

Data-Intensive Text Processing with MapReduce...

Cover image

Cover image

SQL: A Beginner's Guide, Fourth Edition

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Offers a beginner-friendly introduction to SQL, the standard language for accessing and manipulating relational databases.

SQL: A Beginner's Guide, Fourth Edition

SQL: A Beginner's Guide, Fourth Edition

Cover image

Cover image

Care Trajectory Management for Nurses - E-Book

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Offers a non-technical, easy-to-understand introduction to data management concepts and best practices.

Care Trajectory Management for Nurses - E-Book

Care Trajectory Management for Nurses - E-Book

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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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