Understand the technology.
92 plain-English explainers, roadmaps and interview guides for professionals and decision-makers.
What Is Data Engineering? A Plain-English Guide
Data engineering is the discipline of collecting, moving, transforming and storing data so analysts, applications and AI can use it reliably.
Data EngineeringETL vs ELT: What Is the Difference?
Two patterns for moving and transforming data, differing in where the transformation happens.
Data EngineeringData Lake vs Data Warehouse vs Lakehouse
Three architectures for storing analytical data.
Data EngineeringWhat Is Apache Spark and When Should You Use It?
Apache Spark is an open-source engine for processing large datasets in parallel across a cluster.
AI & GenAIGenerative AI vs Traditional AI: What Is the Difference?
Traditional AI mostly predicts or classifies. Generative AI produces new content. Both have a place in the enterprise.
AI & GenAIWhat Is Prompt Engineering?
Prompt engineering is the practice of writing instructions that get reliable, useful output from a language model.
AI & GenAIWhat Is ChatGPT and How Does It Relate to Other AI Assistants?
ChatGPT is a conversational AI assistant from OpenAI, built on large language models. It is one of several similar assistants.
AI & GenAIHow to Compare AI Assistants for Your Team
Several general-purpose AI assistants compete for enterprise use. Rather than chasing rankings, evaluate them against your own needs.
AI & GenAIWhat Is a Large Language Model (LLM)?
A large language model is a neural network trained on large amounts of text to predict the next token, which lets it generate and understand language.
AI & GenAILangChain Explained
LangChain is an open-source framework for building applications on top of large language models.
AI & GenAILangGraph vs LangChain: What Is the Difference?
LangGraph is a library from the LangChain team for building stateful, multi-step agent workflows as graphs.
AI & GenAIWhat Are AI Agents?
An AI agent uses a language model to decide which actions to take, such as calling tools or APIs, in order to complete a goal.
AI & GenAIWhat Is MCP (Model Context Protocol)?
The Model Context Protocol is an open standard for connecting AI applications to external tools and data sources.
AI & GenAIBuilding AI Agents: A Practical Guide for Development Teams
A short guide to designing, building and evaluating AI agents that behave reliably.
AI & GenAIAI Governance in the Enterprise: What L&D Teams Need to Know
AI governance is the set of policies, roles and controls that keep AI use safe, legal and aligned with business goals.
AI & GenAIContext Engineering: Beyond Prompt Writing
Context engineering is the practice of deciding what information goes into a model's context window, and how, for each step of a task.
AI & GenAIFine-Tuning vs RAG vs Prompting: Which Approach to Use?
Three common ways to adapt a language model to your needs, each suited to different problems.
AI & GenAIWhat Is Vector Search?
Vector search finds items by meaning rather than exact keywords, using numerical representations called embeddings.
AI & GenAIWhat Are Foundation Models?
Foundation models are large models pre-trained on broad data that can be adapted to many tasks.
AI & GenAIWhat Is Machine Learning?
Machine learning is a branch of AI in which systems learn patterns from data instead of following explicitly programmed rules.
AI & GenAIMachine Learning with Python: Where to Start
Python is the most popular language for machine learning thanks to its ecosystem of libraries.
AI & GenAIWhat Is Fine-Tuning?
Fine-tuning continues training a pre-trained model on a smaller, task-specific dataset to adapt its behaviour.
AI & GenAIscikit-learn vs TensorFlow vs PyTorch
Three popular Python machine learning libraries with different strengths.
AI & GenAIWhat Is RAG (Retrieval-Augmented Generation)?
RAG combines a search step with a language model so answers are grounded in your own documents.
AI & GenAIWhat Is an AI Assistant?
An AI assistant is an application, usually built on a large language model, that helps people with tasks through natural conversation.
AI & GenAIUsing LLM APIs in Applications
Most AI applications call a language model through a provider's API. Here are the essentials developers need.
AI & GenAIGenerative AI Career Roadmap
A practical path for engineers and analysts moving into generative AI work.
AI & GenAIGenerative AI Project Ideas for Learning
Hands-on project ideas that build practical generative AI skills.
AI & GenAIAgentic AI Interview Questions and Answers
Common interview questions for roles involving AI agents, with concise answers.
AI & GenAIGenerative AI Certifications and Enterprise Adoption Guide
An overview of how to think about generative AI certifications and how they fit into an enterprise adoption plan.
AI & GenAIMachine Learning Engineer Career Roadmap
How to grow into a machine learning engineering role.
AI & GenAIPython Machine Learning Interview Questions
Frequently asked questions in Python and machine learning interviews.
AI & GenAIMachine Learning Project Ideas
Projects that build practical machine learning skills.
AI & GenAIMachine Learning with Python: Career Path
Roles you can grow into with Python machine learning skills, and how to progress.
Data & AnalyticsPython vs SQL for Data Work: Which to Learn First?
SQL and Python solve different parts of data work. Most data professionals need both.
Data & AnalyticsWhat Is Power BI?
Power BI is Microsoft's business intelligence platform for connecting to data, modelling it and building interactive reports.
Data & AnalyticsWhat Is Data Science?
Data science combines statistics, programming and domain knowledge to extract insights and build predictive models from data.
Data & AnalyticsPower BI vs Tableau: Which Should Your Team Learn?
Both are leading BI tools. The best choice usually depends on your existing ecosystem.
Data & AnalyticsPower BI Career Roadmap
A step-by-step path to becoming a capable Power BI developer.
Data & AnalyticsPower BI Project Ideas
Portfolio projects that demonstrate real Power BI skills.
Data & AnalyticsPower BI Certification Guide
An overview of Microsoft's main certification for Power BI analysts.
Data & AnalyticsPower BI Interview Questions and Answers
Commonly asked Power BI interview questions with concise answers.
Data & AnalyticsData Science Career Roadmap
A structured path into data science.
Data & AnalyticsData Science Interview Questions and Answers
Frequently asked data science interview questions.
Data & AnalyticsData Scientist vs Data Analyst
Two related roles with different focus.
Data & AnalyticsData Science Project Ideas
Projects that show applied data science skills.
Data & AnalyticsPower BI vs Excel: When to Use Which
Excel and Power BI overlap but serve different purposes.
Data & AnalyticsWhat Is SQL?
SQL (Structured Query Language) is the standard language for working with relational databases.
Data & AnalyticsWhat Is pandas?
pandas is an open-source Python library for working with tabular data.
Data & AnalyticsData Analyst Career Roadmap
The skills and stages to become a confident data analyst.
Data & AnalyticsTableau Certification Guide
An overview of Tableau's certification options.
Data & AnalyticsWhat Is Power Query?
Power Query is Microsoft's data connection and transformation engine, used in Excel, Power BI and other Microsoft tools.
Data & AnalyticsWhat Is Tableau?
Tableau is a visual analytics platform for exploring data and building interactive dashboards.
Software DevelopmentWhat Is Salesforce?
Salesforce is a cloud-based customer relationship management (CRM) platform.
CloudAWS vs Azure vs Google Cloud: Which Should Your Team Learn?
The three largest public clouds share core concepts but differ in strengths and ecosystem.
CloudServerless vs Containers
Two popular ways to run applications in the cloud, with different trade-offs.
CloudAWS Certifications Explained
An overview of AWS certification levels and how to choose.
CloudWhat Is AWS IAM?
AWS Identity and Access Management controls who can do what in an AWS account.
CloudAWS Project Ideas for Learning
Hands-on AWS projects that build real skills.
CloudAWS Interview Questions and Answers
Common AWS interview questions with concise answers.
CloudAWS Career Roadmap
A path for building a career around AWS.
CloudWhat Is AWS?
Amazon Web Services is Amazon's cloud computing platform, offering on-demand computing, storage, databases, analytics, AI and more.
CloudWhat Is Google Cloud (GCP)?
Google Cloud is Google's public cloud platform offering compute, storage, data, analytics and AI services.
CloudWhat Is BigQuery?
BigQuery is Google Cloud's serverless, fully managed data warehouse.
CloudGoogle Cloud Certifications Explained
An overview of Google Cloud's certification tracks.
CloudWhat Is Microsoft Azure?
Azure is Microsoft's cloud platform for computing, data, AI and application services.
CloudWhat Is the AWS Well-Architected Framework?
A set of best practices from AWS for designing and running reliable, secure, efficient and cost-effective workloads.
CloudAzure Certifications Explained
An overview of Microsoft Azure certifications.
CloudWhat Is Cloud Computing?
Cloud computing is on-demand access to computing resources over the internet, paid for as you use them.
CloudWhat Is the AWS Shared Responsibility Model?
The model defines which security tasks AWS handles and which the customer handles.
CloudAzure Solutions Architect Career Roadmap
The path towards an Azure solutions architect role.
DevOps & SREDocker vs Kubernetes: Understanding the Difference
Docker packages applications into containers; Kubernetes runs and manages many containers across machines.
DevOps & SREWhat Is Kubernetes?
Kubernetes is an open-source system for automating deployment, scaling and management of containerised applications.
Software DevelopmentFrontend vs Backend vs Full Stack
What these software roles mean and how they differ.
CybersecurityWhat Is Ethical Hacking?
Ethical hacking is authorised testing of systems to find security weaknesses before attackers do.
DevOps & SREWhat Is CI/CD?
CI/CD automates building, testing and releasing software.
CybersecurityWhat Is Zero Trust Security?
Zero trust is a security approach that assumes no user or device is trusted by default, even inside the network.
DevOps & SREWhat Is Selenium WebDriver?
Selenium WebDriver is an open-source tool for automating web browsers, widely used for testing web applications.
CybersecurityCybersecurity Career Roadmap
A practical path into cybersecurity.
DevOps & SREDevOps Engineer Career Roadmap
Skills and stages for a DevOps career.
DevOps & SREWhat Is Docker?
Docker is a platform for building, sharing and running applications in containers.
DevOps & SRESRE vs DevOps
Site Reliability Engineering and DevOps share goals but differ in emphasis.
DevOps & SREJenkins vs GitLab CI/CD
Two widely used CI/CD tools with different philosophies.
DevOps & SREWhat Is Terraform?
Terraform is an infrastructure-as-code tool for defining and provisioning cloud and on-premises resources.
DevOps & SREWhat Is Ansible?
Ansible is an open-source automation tool for configuration management, application deployment and orchestration.
DevOps & SREAWS DevOps Tools Explained
An overview of AWS services commonly used in DevOps workflows.
Software DevelopmentWhat Is React?
React is an open-source JavaScript library for building user interfaces.
Software DevelopmentFront-End Developer Career Roadmap
The path to becoming a capable front-end developer.
NVIDIA & GPU ComputingWhat Is CUDA?
CUDA is NVIDIA's parallel computing platform and programming model for running general-purpose code on NVIDIA GPUs.
NVIDIA & GPU ComputingWhat Is NVIDIA RAPIDS?
RAPIDS is a suite of open-source libraries from NVIDIA for GPU-accelerated data science and analytics.
NVIDIA & GPU ComputingWhat Are NVIDIA NIM and NeMo?
NIM and NeMo are parts of NVIDIA's software stack for generative AI: NIM for serving models, NeMo for building and customising them.
NVIDIA & GPU ComputingTensorRT, TensorRT-LLM and Triton Explained
Three NVIDIA technologies for fast, scalable AI inference.