The Beginning: The Power of IT Fundamentals

The Beginning: The Power of IT Fundamentals

Patrick Müller
by Patrick Müller
26.04.2025
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“A long time ago, in a galaxy far, far away…”

This is not only how the epic Star Wars saga begins but also marks my personal journey back to writing. After dedicating myself to other topics for some time, I recently rediscovered the joy of writing. It helps me organize my thoughts and explore topics more deeply.

In the coming days, I'll be exploring the "Power of Learning." In anticipation of the upcoming Star Wars Day on May 4th ("May the force/4th be with you"), I'm participating in a countdown, starting with this post focusing on the "Power of Fundamentals."


Episode I – The Phantom Menace

In Episode I – The Phantom Menace, Jedi Master Qui-Gon Jinn and his Padawan Obi-Wan Kenobi are dispatched to Naboo to resolve a conflict with the Trade Federation. There, they discover the young Anakin Skywalker, who has an extraordinary connection to the Force. This episode marks the beginning of the Skywalker saga and sets the stage for future events.

Anakin Skywalker's journey starts with discovering his abilities and mastering the fundamentals of the Force. Similarly, every learning journey begins with understanding fundamentals, which form the foundation for deeper knowledge.


From Buzzword to Everyday Global Innovation

Buzzwords fill presentations. However, the digital shift becomes truly evident as an increasing number of high-tech devices become available at prices affordable for mass consumers. Nearly 900 million smart home gadgets, ranging from 20-euro Wi-Fi sockets to 50-euro security cameras, were shipped worldwide in 2024, according to IDC as of October 2024.


A Look at the German Market

Germany's enthusiasm for technology is evident not just in buzzwords, but also in tangible products that have become affordable for average households. From intelligent thermostats developed in Munich to delivery drones operating in Hesse, many flagship examples originating directly from Germany demonstrate how rapidly high-tech is becoming mainstream here.


Smart Home Ecosystem "Made in Germany"

The Munich-based startup tado° launched its new tado° X series in 2024, offering smart radiator valves with Matter support starting at just €149. Concurrently, Bosch now provides its climate control starter set at around €230, lowering the barrier to fully integrated smart home systems. According to an August 2024 Bitkom survey, 46% of Germans use at least one smart home application, a trend that's steadily increasing.


Wearables: Health Data and Health Insurance Bonuses

The wearables boom in Germany is also driven by health insurers. Programs such as AOK BONUS fit subsidize Apple Watches and fitness trackers, with some regional health insurance providers offering up to €600 per device.

This approach is clearly effective: in 2024, the German wearables market generated revenues exceeding USD 7.8 billion, with double-digit growth projected to continue. Consumers can expect an increasingly diverse range of fitness watches, ECG-enabled smartwatches, sleep sensors, and more, accompanied by ongoing competition to introduce innovative features at lower prices.


Autonomous Delivery Drones in Hesse

While DHL Parcelcopter pioneered fundamental research, Wingcopter from Weiterstadt demonstrates how regular operations can look in practice. Since 2024, the pilot project LieferMichel has been delivering groceries and non-prescription medicines to remote areas in the Odenwald region. Packages arrive at drone ports located outside the villages and are delivered emissions-free by cargo bikes directly to residents’ doors—a blueprint for regional e-commerce. Wingcopter has already received the first national type approval for its delivery drone.


3D Printing at the Discount Store

High-tech reaches the bargain bin: Aldi repeatedly offered 3D printers such as the Bresser Rex for under €250 in 2023 and 2024—a price point transforming what was once a hobbyist’s dream into a household appliance. This significantly lowers the barrier to entry for maker communities and hobbyists.

In March 2025, Chip conducted a 3D printer test, concluding that "affordable 3D printers for beginners are now cheaper than an annual streaming subscription for Bundesliga football [...] and deliver impressively precise printing quality."


Why Solid Fundamentals Matter Twice as Much

All the examples mentioned—smart homes, wearables, drones, and 3D printing—are built upon the same foundational technologies:

  • Interface standards (Matter, Bluetooth LE, Wi-Fi 6) for networked devices.
  • Secure cloud backends with scalable data pipelines.
  • Embedded analytics and Edge AI, analyzing sensor data directly at the source.


Mastering these fundamentals allows faster integration of new products, confident navigation of data privacy hurdles, and the ability to innovate independently—for instance, developing one's own AI-driven energy optimization in smart homes. This is precisely the "power of fundamentals": transforming trend users into active architects of digital transformation.


Common Denominators and Hidden Fundamentals

Whether it's AI agents or digital twins, all trends share three technological constants:

  1. Data as a Resource: Without clean data models, basic SQL knowledge, normalization, and metadata management, even the most advanced neural networks can't be trained effectively. The principle "garbage in, garbage out" remains as valid as ever!
  2. Networks as Circulatory Systems: Understanding IP protocols, routing, latency, and throughput is essential for seamless collaboration among edge nodes, sensors, and cloud services.
  3. Computer Architecture & Operating Systems as Platforms: Knowing how memory hierarchies, container isolation, and process scheduling work allows optimization of workloads, cost reduction, and closure of security vulnerabilities.

Beneath these lie the "tools of the trade" for every computer scientist and analyst: binary logic, file systems, shell commands, fundamental data structures (arrays, hash maps), control structures (loops, conditions), and debugging techniques.

The tech world of 2025 demands universal fundamentals. Yet, it concretizes itself through clear tools, principles, and learning paths. Python, Git, and VS Code dominate practice and job listings, while concepts such as memory locality, container isolation, and Big-O thinking determine the quality of any solution. Starting with a streamlined set like Python + SQL, Git, Linux shell, and "Clean Code," you can rapidly gain practical proficiency through completely free courses from CS50, openHPI, or Kaggle.


Sample Links to Free, Short-Term Online Courses:


Core Principles and Standard Functions

Beyond frameworks and tools, ultimately mastering timeless IT principles determines whether code remains robust, secure, and performant. Early learning about error handling, securing connections, and optimizing hardware limits allows you to transition smoothly between technology waves without reinventing your skills.

The central idea is clear: good software or products arise not simply from trendy programming languages, but from clean craftsmanship—from clear error messages and basic security practices to sensible management of processor time and memory.


Maintainable, Clean Code

Breaking problems into small components: Developers speak about "functions" and "modules." The DRY principle ("Don't Repeat Yourself") suggests writing each solution idea only once—then improving or correcting it at just that single location. Recommended reading: What is DRY principle?

Graceful error handling: Instead of crashing at the first problem, the program catches the error, provides an understandable message, or retries the operation. This error handling prevents crashes and data loss. Recommended reading: Error Handling in Programming

Automated self-tests: Small test programs ("unit tests") run after every change and immediately report unintended breaks—like a digital safety net. Recommended reading: Intro to Unit Tests


Effective Data Design & Input/Output

Order in tables: Databases follow simple organizational rules ("normalization"). This ensures each piece of information appears only once, queries run quickly, and inconsistencies are avoided. Recommended reading: Normalization in SQL (1NF - 5NF)

Sending packets instead of parcels: Writing data to the database in batches ("batch inserts") or streaming it saves considerable time—comparable to a bulk order rather than multiple individual deliveries. Recommended reading: Individual Inserts vs. Bulk Inserts


Simple Yet Effective Security Principles

Core IT security principles help translate abstract technical requirements into relatable, everyday analogies.

One essential principle is "Least Privilege." Processes and users should only receive the minimum necessary permissions—much like an apartment key that only opens your own door, preventing intruders from accessing all areas. Learn more.

Another central concept is the "Zero Trust" approach, where no one is granted trust by default—similar to always having to show your ID, even in your own workplace. Every access request and action is continually verified to ensure security through constant monitoring. Guide to Zero Trust Security, additional perspectives.

A third significant principle is "Role-Based Access Control (RBAC)," assigning permissions to roles rather than individuals. This is akin to a hotel key card, which only grants guests access to their booked rooms. Centralized management of permissions simplifies administration and security. More about RBAC.

Finally, "Secrets Management" is essential. This involves securely storing sensitive data, such as passwords, in a centralized vault instead of leaving them exposed on Post-it notes. Additionally, secrets management enables automatic rotation, enhancing ongoing security. Secrets Management Cheat Sheet.


The ABC of Memory and Computing Time

Thinking Big vs. Small: "Big-O analysis" roughly estimates whether an algorithm takes twice as long or four times as long with double the data volume. This is crucial for managing costs and wait times in the cloud. Recommended reading: Big O Notation Tutorial – A Guide to Big O Analysis

Short Paths in Computer Memory: Modern processors work extremely fast when required data resides in the small, direct cache. Programs that access data sequentially (row by row) rather than randomly typically hit the cache consistently, greatly enhancing speed. Recommended reading: Locality of Reference and Cache Operation in Cache Memory

Parallel Instead of Sequential: With "asynchronous I/O," the program initiates file or network operations and immediately moves to other tasks until a response is received. It's like grinding coffee beans while waiting for the water to heat. Traditional threads are useful when multiple CPU cores need to process tasks simultaneously. Recommended reading: Async IO Tasks vs. Threads


    Getting Started – Recommended Tools for Beginners

    There is no one-size-fits-all curriculum for entering the world of data and analytics—something we experience daily at Mr. 01 Analytics. Industry, company size, team responsibilities, and individual prior knowledge vary significantly, making personalized learning paths essential. Nonetheless, several "starter tools" consistently help beginners achieve rapid progress. Below, we explain these tools while emphasizing that your starting point and pace can (and should) vary. We gladly support you with tailored training or coaching on the job.

    Why No Path is Like Another

    • Diverse starting points: A marketing team has different data sources and access requirements compared to production management or controlling.
    • Different maturity levels: Some companies or departments already handle billions of data records, others are just beginning with clean Excel lists.
    • Individual goals: Some want to detect anomalies, others automate reporting or develop self-service platforms.

    This is why at Mr. 01 Analytics Tailor-Made Solutions, we design customized learning and implementation packages ranging from C-level sparring to operational developer coaching.


    Selected Typical "Starter Tools"

    • Python + SQL: Python automates workflows and processes data; SQL performs targeted database queries. Together, they solve most analytical tasks.
    • Git + Visual Studio Code: Git records every file version; VS Code is a free code editor with built-in Git integration. Changes remain traceable even within teams, eliminating the search for the "latest correct" programming version.
    • Docker: Packages applications along with dependencies into containers, ensuring consistent operation across all environments.
    • Introductory Algorithms Course: Teaches breaking down problems into logical steps and estimating code performance with large data volumes; reduces waiting time and costs.

    Editorial note: This list is not prescriptive. For instance, someone proficient in SQL but unfamiliar with version control might reasonably start with Git and VS Code—or vice versa.


    Finding Your Personal Learning Path

    1. Clarify tasks and objectives: Do you want to support decisions, build dashboards, detect fraud, or monitor machine data in real-time?
    2. Assess existing knowledge: A brief skill check reveals if fundamentals (e.g., table structures) or advanced topics (e.g., model monitoring) are appropriate.
    3. Select a learning format: Self-paced modules, team workshops, or project-related coaching—based on your time availability and learning style.
    4. Set small milestones: Achieve weekly mini-goals such as a Git commit, an SQL query, or a Docker container.


    Outlook

    The true "Power of Fundamentals" determines whether you merely consume or actively shape new technologies. For instance, mastering Python and SQL today enables you to build AI workflows, manage scalable data pipelines, and implement new security standards tomorrow.

    In other words, just as Anakin Skywalker first learned lightsaber blocking before mastering the Force, we too must master essential IT building blocks to advance in the galaxy of digital transformation. The power of fundamentals serves as a springboard for deeper knowledge and skills. Whether in a galaxy far, far away or in the world of IT: taking the first step is decisive!


    Your Next Step with Mr. 01 Analytics

    We gladly support you with personalized learning plans, practical coaching, and customized toolkits to spark your enthusiasm for IT—no matter where you currently stand.

    Interested?

    Together, we will find the learning path suited to your tasks, pace, and business model.

    Patrick Müller
    Patrick Müller
    Lecturer & Author | Data Analytics, IT Forensics, and Fraud Detection | Building & Training In-House Analytics Teams & Architectures in Corporations

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