Cloud Developer

Cloud platforms refer to online services that provide scalable computing resources, storage, and services over the internet, enabling organizations to deploy, manage, and run applications without the need for on-premises infrastructure. The most commonly used cloud platforms are Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.

Infrastructure as code (IAC) is the practice of managing infrastructure using code. IAC tools, such as Terraform and Cloudformation, make it possible to create, deploy, and manage infrastructure using code.

The command line is the opposite of using something like OS X or Windows; no mouse, no icons, nothing but text. It’s a way for you to type commands to your computer and it’s used for all types of things in programming.

DevOps practices are a set of principles and practices that aim to improve the speed, agility, and reliability of software delivery.

Containerization is a technology that allows you to package your application and its dependencies into a single container image. Containerization is a popular choice for deploying web applications, microservices, and other distributed applications. Popular tools include Docker and Kubernetes.

Orchestration refers to coordinating and automating various components or services in a system to achieve a specific workflow or task.

Cloud security involves protecting data, applications, and resources stored on or accessed through cloud platforms, implementing security measures to safeguard against data breaches, unauthorized access, and other cyber threats.

Network configuration involves setting up and adjusting network settings, such as IP addresses, DNS, and gateways, to enable communication between devices effectively.

CI/CD is a software development practice that automates the process of building, testing, and deploying code. There are a number of CI/CD tools available, such as Jenkins, CircleCI, and Travis CI.

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data, helping businesses make data-driven decisions.

Python is a general-purpose coding language—which means it can be used for other types of programming and software development besides web development.

R is a programming language used for statistical computing and graphics, widely used among statisticians, data scientists, and researchers for data analysis and visualization.

The process of collecting, organizing, summarizing, and interpreting data to draw conclusions, make inferences, and support decision-making.

Machine learning is the process of developing machines, software programs, and other computer systems capable of “learning” and applying learned knowledge without specific instructions.

Deep learning is a type of machine learning that uses artificial neural networks to learn from data.

Data visualization is the process of transforming data into a visual format that is easy to understand and interpret. Data visualization is used to communicate insights from data to stakeholders.

SQL stands for “Structured Query Language” and it is a programming language used to manage data in relational database management systems, creating data structures, and accessing data in web development.

NoSQL databases are non-relational databases that provide flexible data models, suitable for handling large volumes of unstructured or semi-structured data, offering advantages in certain use cases over traditional relational databases.

Big data is a term used to describe data sets that are too large or complex to be processed using traditional data processing methods. Big data is often used to analyze customer behavior, predict trends, and make better decisions.

Data structures are data organizations that allow for efficient access and manipulation of data.

Algorithms are step-by-step procedures or sets of rules designed to solve specific problems or perform tasks in computing and other fields, helping computers process and analyze data efficiently.

Version control is the management of changes to documents, source code, or other files, allowing multiple users to collaborate and track revisions, facilitating teamwork and preventing conflicts.