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
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...
Custom Serialization Tricks for Ridiculous Speed
Imagine being able to shave substantial processing time and significantly boost performance simply by mastering serialization techniques. In an environment where analytics, big data, and intelligent data processing are foundational to competitive advantage, optimized...
Out-of-Order Events: Taming the Ordering Problem
In the rapidly evolving landscape of data-intensive businesses, event-driven systems reign supreme. Events flow from countless sources—from your mobile app interactions to IoT sensor data—constantly reshaping your digital landscape. But as volumes surge and complexity...
Checkpoints vs Snapshots: Managing State Without Tears
Imagine managing large-scale applications and data environments without ever fearing downtime or data loss—sounds like a dream, doesn't it? As complexity scales, the reliability of your systems hinges on the right strategy for state management. At the intersection of...
The Batch Size Dilemma: Finding Throughput’s Sweet Spot
In today's hyper-paced data environments, organizations face an intricate balancing act: finding the precise batch size that unlocks maximum throughput, optimal resource utilization, and minimal latency. Whether you're streaming real-time analytics, running machine...
Geolocation Workloads: Precision Loss in Coordinate Systems
In an age where precise geospatial data can unlock exponential value—sharpening analytics, streamlining logistics, and forming the backbone of innovative digital solutions—precision loss in coordinate systems may seem small but can lead to large-scale inaccuracies and...
Art of Bucketing: Hash Distribution Strategies That Actually Work
In today's data-driven world, handling massive volumes of information swiftly and accurately has become an indispensable skill for competitive businesses. Yet, not all data distribution methods are created equal. Among the arsenal of techniques used strongly within...
Compression in Motion: Streaming & Working with Zipped Data
In the modern world of rapid digital innovation, effectively handling data is more important than ever. Data flows ceaselessly, driving analytics, strategic decisions, marketing enhancements, and streamlined operations. However, the sheer size and quantity of data...
The Core Paradox: Why More CPUs Don’t Always Mean Faster Jobs
In today's fast-paced IT landscape, the prevailing wisdom is clear: if a process is running slowly, simply throwing more processing power at it—meaning more CPUs or cores—is the immediate go-to solution. After all, more cores should mean more simultaneous threads,...
Automation
10 Examples where ETL is Playing a Key Role in Data Governance and Security.
Below are 10 Examples where ETL is playing a key role in data governance and security. Let's explore each of these examples in more detail: Data Masking for Security:ETL is instrumental in extracting sensitive data, like personally identifiable information (PII) or...
ETL in data analytics is to transform the data into a usable format.
In data analytics, ETL (Extract, Transform, Load) is a process that involves extracting data from various sources, transforming it into a format that is suitable for analysis, and then loading it into a destination for storage and access. This process is critical for...
Case studies of successful ETL implementations in various industries.
ETL (Extract, Transform, and Load) is a critical component of many data analytics and business intelligence systems, and has been successfully implemented in a variety of industries. Here are a few examples of successful ETL implementations in different industries:...
Business
AI-Powered Tools That Transform Decision-Making in 2025
The future of business is driven by data, but the real game-changer lies in how organizations harness that data for better decision-making. As we enter 2025, AI-powered tools have shifted from experimental innovations to core business drivers, transforming how...
Boost Profitability with Data Engineering Trends in 2025
I'm sure you know, data engineering has emerged as a pivotal force driving business profitability and operational efficiency. By effectively managing, pulling, and transforming raw data into actionable insights, organizations can make informed decisions that enhance...
5 Signs Your Business Needs a Data Warehouse Today
In a world where data drives competitive advantage, businesses are often drowning in information but starving for insights. If your organization struggles with fragmented reporting, slow decision-making, or disconnected analytics, it may be time to consider a data...
TableauHelp
Install Tableau Desktop
Let's learn how to Install Tableau Desktop and kick-start your data analyst career. If you're breaking into the data industry, learning that data visualization is important in data science, or unlocking the power of data for the first time... Welcome, or maybe you're...
Download Tableau Desktop
Download Tableau Desktop with these easy steps below. Downloading Tableau Desktop is quick and easy. Start your adventure below and follow along with the steps and screenshots, and begin your Tableau Desktop download in a few minutes. Steps to quickly download Tableau...
Tableau Server Automated Dashboard Image or Images
We show you How to do Tableau Server Automated Dashboard Image or Images using Tab admin. While offering Tableau Services, you're bound to create a few tabcmd solutions! While working at tableau.com, our founder started using PowerShell to bulk automate dashboard...
Solutions
Python vs. SQL: When to Use Each in Data Engineering
In the dynamic landscape of data engineering, selecting the right technology isn't just about preference—it's about aligning each technology's strengths with specific project needs. Python and SQL are two cornerstones of most modern data architectures, each coming...
Spatio-Temporal Indexing Structures for Location Intelligence
In today's hyper-connected digital landscape, understanding "where" and "when" has emerged as a crucial competitive advantage. Spatio-temporal data—the intersection of geographic location (spatial data) and timing (temporal data)—is central to delivering actionable...
Vector Database Selection Criteria for Embedding-Based Applications
Today's transformative organizations are harnessing the unprecedented power of embedding-based applications to unlock valuable insights, deliver smarter recommendations, and enhance their business intelligence capabilities. Behind the scenes, the driving force of...
SQL
Mastering Pattern Matching with the LIKE Operator in SQL
In SQL, the LIKE operator provides a powerful mechanism for performing pattern matching within text data. It allows you to search for values that match specific patterns using wildcard characters. Understanding and effectively utilizing the LIKE operator can...
Harnessing Aggregate Functions in SQL: Utilizing MIN, MAX, AVG, SUM, and More
Structured Query Language (SQL) provides powerful aggregate functions that allow you to perform calculations on a set of values in a database table. These functions, such as MIN, MAX, AVG, and SUM, enable you to retrieve valuable insights and summary statistics from...
Utilizing the SELECT TOP Statement in SQL: Retrieving a Limited Number of Rows
When working with large datasets, it's often necessary to retrieve only a subset of the data that meets specific criteria. SQL provides the SELECT TOP statement, which allows you to limit the number of rows returned by a query. In this guide, we will explore the usage...