Articles.
In 2016, DEV3LOPCOM, LLC began sharing informative articles and technical tutorials about software, methodologies, research and programming languages. Our articles are designed to be accessible and informative, drawing readers interested in solving technical problems and understanding concepts. Dive into our collection to learn how these technical articles may benefit you. Click a button transition to the content or start with a recent read.
Recent Articles
Ports & Adapters: Going Hexagonal with Your Pipeline
In today's digitally connected economy, your data pipeline is not simply an operational asset—it is the lifeblood of informed decisions, innovation, and competitive advantage. Yet many organizations continue to grapple with monolithic pipeline architectures that...
Bloom Filters & HyperLogLog: Fast Probabilistic Structures
In today's data-driven world, speed, efficiency, and accuracy aren't merely desirable—they're essential. As data volumes explode exponentially, traditional strategies to manage vast datasets encounter significant bottlenecks. Enter probabilistic data structures like...
Multimedia Pipelines: Extracting Metadata from Binary Blobs
In a digital-first world, multimedia is a core foundation of nearly every business-savvy decision—whether you're streaming high-definition videos, analyzing user-generated photos, or processing audio files for marketing insights, extracting and managing metadata from...
Strangler Fig Refactor: Modernizing Legacy Batch Systems
Imagine a bustling city where modern skyscrapers coexist with aging structures, their foundations creaking under the weight of time. Legacy batch systems in your technology stack are much like these outdated buildings—once strong and essential, now becoming...
Tumbling vs Sliding: Choosing the Right Streaming Windows
Stream processing—where data flows continuously and demands instant analysis—is the heartbeat of modern, real-time data ecosystems. As decision-makers in today’s dynamic business landscapes, your organization's ability to interpret data at the speed it arrives...
Saga Pattern: Orchestrating Long-Running Transactions
Imagine guiding an orchestra through a complex symphony—each musician performing their part seamlessly, harmonized into a coherent masterpiece. The Saga Pattern brings this orchestration to software architectures, enabling organizations to confidently manage...
JSON Hell: Schema Validation for Semi-Structured Payloads
JSON has become the lingua franca of data interchange on the web. Lightweight and flexible, JSON is undeniably powerful. Yet this very flexibility often encases applications in a schema validation nightmare—what software engineers sometimes call "JSON Hell."...
Scatter-Gather: Distributing Work and Reassembling Results
In a digitally transformed world, the volume of data organizations encounter daily is staggering. Decision-makers grapple with exponentially increasing complexities, requiring innovative solutions to effectively distribute workloads and synthesize outcomes. Enter the...
Homomorphic Computing Primer: Crunching Encrypted Bits
Imagine a world where your organization's most sensitive data could remain encrypted at all times, yet still be actively computed, analyzed, and transformed. This is the bold promise homomorphic computing offers — a future-proof approach that allows insight generation...
Fan-Out / Fan-In: Parallel Processing Without Chaos
Imagine orchestrating the morning rush hour in a bustling city, each commuter representing a piece of data heading rapidly through interconnected streets, all converging towards well-defined destinations. Without careful planning and management, chaos reigns supreme....
Precision Loss & Accumulation Errors in Numeric Workloads
Numbers have shaped our world. From building skyscrapers, enabling space exploration to precise forecasting, numeric accuracy ensures decisions are reliable and downtime is minimal. Today, as data-driven companies increase reliance on precision-intensive numeric...
Event Sourcing 101: Rebuilding State from Logs
Imagine having the power to move backward and forward in time at will, effortlessly reconstructing the complete state of your data at any moment—all from a meticulously recorded log of historical events. Event sourcing offers just such a transformative capability to...
Binary at Scale: Bit-Level Tricks for Massive Files
The digital world revolves around data—data capturing, storage, movement, and analysis. As file sizes balloon into terabytes and petabytes, managing massive data efficiently isn't just a preference; it’s a strategic imperative. Every inefficiency amplifies at scale,...
Poison Pill Messages: Stopping Bad Data Before It Spreads
Imagine data as the bloodstream of your organization—essential to keeping operations healthy, decisions accurate, and innovation flowing. Just like toxins circulating unchecked in your bloodstream can threaten your health, bad data can quietly seep into systems,...
Variable-Length Records in Fixed-Width Lands
In the intricate world of data management, the manner by which you structure your information can make or break the efficiency of your technology stack. As decision-makers strive to harness the power of their growing data assets, understanding variable-length and...
Back-Pressure & Rate Limiting: Protecting Downstream Systems
In today's hyperconnected, innovation-driven digital landscape, companies across every industry grapple with immense volumes of data streaming through intricate software architectures. Decision-makers face the imperative to build robust and resilient digital...
Windowed Joins: State Stores Done Right
In today's data-driven landscape, the ability to harness event streams in real-time is a growing must-have business capability. Analytics capabilities that once were the domain of specialized "big data" teams are now expected to deliver value immediately. Amidst this...
Bulkhead Pattern: Fault Isolation for Streaming Apps
In today’s complex digital ecosystems, streaming applications have shifted from being beneficial tools to mission-critical platforms. Businesses increasingly rely on these real-time data integrations to deliver insights, automate processes, and predict operational...
Multi-Tenant Workloads: Isolation Without Losing Performance
Picture orchestrating a bustling city where thousands of tenants live harmoniously within a limited space. Each resident expects privacy, security, and individualized services, even as they share common infrastructures such as electricity, water, and transportation....
Keep It Local: Data Locality Principles for Faster Analytics
In the fast-paced arena of data-driven decision-making, organizations can't afford sluggish data analytics that hinder responsiveness and innovation. While computation power and storage scale has exploded, just throwing processing horsepower at your analytics won't...
Exactly-Once vs At-Least-Once: Error Recovery Trade-Offs
In the fast-paced, data-centric business landscape of today, leaders stand at the crossroads of complex decisions affecting systems reliability, efficiency, and data integrity. Understanding how data moves and how it recovers from errors can mean the difference...
The Memory Wall: Working Sets Larger Than RAM
In today's data-driven landscape, performance bottlenecks become painfully obvious, especially when handling datasets larger than system memory. As your analytics workload grows, the gap between the sheer volume of data and the speed at which your hardware can access...
Irregular Intervals: Wrangling Messy Time-Series
Imagine navigating unfamiliar terrain armed with nothing more than a vague map and inconsistent landmarks placed unpredictably along your path. That's precisely how working with messy, irregularly spaced time-series data can feel. Yet—as daunting as irregular...
Circuit Breakers: Designing Fail-Safe Stream Drivers
The rapid evolution of real-time data analytics has ushered in an era where milliseconds matter more than ever. Imagine overseeing streaming analytics for your organization's critical operations, only to watch helplessly as streams falter under unexpected workloads or...
High-Cardinality Categories: Encoding Strategies That Scale
When diving deep into analytical and machine learning projects, organizations inevitably encounter the challenging realm of high-cardinality categorical variables. Whether you're trying to analyze customer data across thousands of regions or categorize products from...
Long-Running Jobs vs JVM GC: A Love-Hate Story
If you work in data-intensive environments, the phrases "long-running job" and "JVM garbage collection" probably stir both admiration and frustration. They're like those pairs of coworkers who, despite occasional tension, can deliver remarkable results when...
Choreography vs Orchestration: Coordinating Complex Workflows
Imagine watching a symphony perform without a conductor—each musician intuitively knowing precisely when to begin playing and seamlessly harmonizing their contribution with the group. Now, picture the same orchestra, this time guided meticulously by a conductor who...
Network Effects: Bandwidth Pitfalls in Distributed Engines
In the hyper-connected landscape of today's data-driven business ecosystem, distributed engines promise scalability, agility, and the power of real-time analytics. Yet, hidden beneath these compelling advantages lies a subtle and often underestimated challenge:...
Sparse Datasets: Techniques When Most Values Are Null
Picture a grand library filled with books—but as you open them, you realize most pages are blank. Welcome to the complex yet exciting world of sparse datasets. In today's data-driven world, datasets are enormous, expansive, and, quite frequently, sparse—filled with...
Cold-Start Optimization: Bootstrapping New Pipelines Fast
In the hyper-competitive digital landscape, being first isn't always about having the biggest budget or dedicated research departments; it's about velocity—how quickly your organization can define needs, develop solutions, and deploy into production. Decision-makers...
Automation
Send Tiktok Data to Google BigQuery Using Node.js
Here is an explanation of the code for sending TikTok data to Google BigQuery using Node.js: const { BigQuery } = require('@google-cloud/bigquery'); This line imports the BigQuery class from the @google-cloud/bigquery library. The BigQuery class provides a client for...
8 Reasons to Data Warehouse Your Social Media Data in Google BigQuery
Connecting social media platforms like Twitter, Instagram, LinkedIn, and Facebook to Google BigQuery can provide a number of benefits for businesses and organizations. Here are just a few reasons why you might want to consider integrating these platforms with...
Send Twitter Data to Google BigQuery Using Node.js
To export data from Twitter to Google BigQuery using Node.js, you can use the Twitter API and the BigQuery API. Here's a high-level overview of the process: First, you'll need to register as a developer on the Twitter API platform and obtain an access token and access...
Business
How to Prioritize Analytics Projects with Limited Budgets
When the budget is tight, every dollar counts. In the world of analytics, it's easy to dream big — AI, predictive dashboards, advanced automation — but the reality often demands careful prioritization. For organizations striving to innovate without overspending, the...
Stop Blaming the Data Team — It’s Your Project Management
You’ve likely uttered these words: “Our data team just doesn’t deliver.” This maybe true if they have no experience delivering. However, before pointing fingers at your analysts or engineers, it's worth looking deeper. More often than not, ineffective data practices...
The Role of Human-Centered Design in Data Analytics
In today’s data-saturated world, analytics projects fail not because of bad data or flawed algorithms, but because they miss the mark on people. The success of any analytics or software initiative hinges on whether the end users can understand, trust, and act on the...
TableauHelp
Tableau Logo – Finding the correct Tableau Logo Built Dev3lop.
Need help Finding the Tableau Logo? Want to learn about the data that helped us build Dev3lop? We explain everything below. Here, you can quickly grab the Tableau logo and many other logos related to the same Tableau Software developed by Tableau partners. Learn about...
6 Quick Steps, How to Make a Tableau Sparkline
Welcome; let's discuss making a sparkline chart on Tableau desktop. If this is your first time creating a sparkline in Tableau Desktop and you're breaking into the data industry, maybe you're still learning the power of data visualization in data science; know you're...
The Tableau definition from every darn place on the internet.
The Tableau definition from every darn place on the internet. Why did we consider this? Because a lot of people are interested, what does Tableau mean? We know the tableau definition means; visualizing and understanding data. We are Tableau consultants and have...
Solutions
Building a Data Engineering Career Path: Skills and Progression
Data engineering is no longer just a support function—today, it's a strategic cornerstone that powers innovative insights and drives business growth. However, constructing a successful data engineering career path takes more than just coding skills or academic...
Building Self-Service Analytics Platforms
The landscape of business intelligence has rapidly shifted toward enabling users to take control of data insights independently. Gone are the days when requests for data took weeks to traverse bureaucratic approval processes only to deliver outdated information....
Career Transitioning: From Software Engineering to Data Engineering
In a rapidly evolving technological landscape, software engineering professionals looking to bolster their skill set and amplify their career potential increasingly consider transitioning into data engineering. Fueled by the exponential growth of data-driven...
SQL
UPDATE: Modifying Existing Data in a Table
The UPDATE statement in SQL allows you to modify existing data within a table. It is a crucial command that plays a significant role in updating and maintaining the accuracy and integrity of your database. By understanding how to use the UPDATE statement effectively,...
The Power of INSERT INTO: Adding New Rows of Data to a Table in SQL
In SQL, the INSERT INTO statement is a fundamental command that allows you to add new rows of data into a table. This statement plays a vital role in maintaining and updating the data within your database. Understanding how to use the INSERT INTO statement effectively...
Harnessing the Power of Logical Operators in SQL: Exploring AND, OR, and NOT
Structured Query Language (SQL) provides powerful logical operators—AND, OR, and NOT—that allow for flexible querying and filtering of data in a database. These operators enable you to construct complex conditions and retrieve specific subsets of data based on logical...