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
Turning Business Chaos into Order Using Data Architecture
Businesses are overwhelmed with fragmented tools, excel analytics, siloed data, and then a constant push to innovate faster. Leaders know they have valuable data—but turning that data into something usable feels like chasing a moving target. If your team is stuck in a...
Cross-Domain Data Fabrics: Uniting Siloed Information Assets
Data fuels modern business growth, innovation, and competitive advantage. However, many organizations find themselves tangled in a fragmented world of data silos—isolated repositories of valuable information hidden behind departmental walls. These silos limit...
SQL Overkill: Why 90% of Your Queries Are Too Complicated
You're exploring customer trends, finding sales opportunities, and fine-tuning your business strategy—but what if you're making it harder than it needs to be? Most businesses today extensively rely on SQL for data management and analytics. However, many teams drown in...
How to Innovate Inside Legacy Systems Without Replacing Them
Legacy systems often bear the weight of years—if not decades—of data, workflows, and critical operational insights. Yet, many organizations hesitate to replace them outright for fear of losing valuable historical information or interrupting day-to-day business. Sound...
Understanding the Core Principles of AI Agents
AI Agents are central figures in the evolving landscape of artificial intelligence, designed to observe their surroundings, interpret data, and make decisions with minimal human intervention. In essence, an AI Agent is a software program that can learn from experience...
Building Your CI/CD Pipeline – A Comprehensive Guide
A CI/CD pipeline (Continuous Integration/Continuous Delivery pipeline) is an automated DevOps workflow that streamlines software build, test, and deployment stages for faster and more reliable releases. It merges code changes and runs continuous testing, minimizing...
Most Companies are Fixing their Data Lake in Reporting Software, This is Bad
In our rapidly evolving data landscape, companies rush to harness vast reservoirs of data in their digital lakes. But when confusion sets in, many businesses resort to "quick fixes," using reporting software as their primary tool to manage their data lakes. On the...
Build A Data Warehouse In Your Data Lake To Save Money
Imagine standing at the intersection of your organization's expanding data landscape, overwhelmed with fragmented databases or disjointed analytics tools, racking up unnecessary expenses daily. What if leveraging your existing data lake infrastructure, by...
Working with A Small Data Consultancy, The Advantages
In today's fast-paced, data-driven world, businesses need agile, impactful insights more than ever. Many companies grapple with the decision of engaging a large consulting firm or choosing to partner with a small, specialized data consultancy. While big firms bring...
Why Most Data Engineers Don’t Know How to Architect for Scale
In today's data-driven landscape, the ability to architect scalable data systems has become the cornerstone of organizational success. Businesses eagerly collect terabytes upon terabytes of data, yet many find themselves overwhelmed by performance bottlenecks,...
Batch Is Comfortable, But Stream Is Coming for Your Job
Let’s be frank—batch processing has been our trusted companion for decades: dependable, predictable, slower than modern alternatives, and comfortable. As real-time demands increasingly dominate the business landscape, the shift toward streaming architectures is...
The Most Overrated Tools in Modern Data Engineering
In today's rapidly evolving technology landscape, countless tools promise the world to organizations seeking to harness data for competitive advantage. Bright advertisements, glowing reviews, and enthusiastic communities often paint an alluring picture of latest data...
What We Learned Building an AI Assistant for Client Intake
In today's fast-paced business environment, enhancing client experiences while maintaining operational efficiency is a challenge every organization faces. As experts in data, analytics, and innovation at Dev3lop, we embraced this challenge head-on by developing an...
Working Sessions Reduce Miscommunication in Analytics Projects
Miscommunications in analytics projects can lead to costly delays, compromised quality, and frustration for stakeholders. At Dev3lop, we understand firsthand how critical clarity and shared understanding are to success when dealing with complex data analytics tasks....
Working with a Grassroots Consultancy VS an Enterprise Consultancy
Choosing between grassroots consultancies and enterprise-level firms is a defining decision for organizations aiming to harness the full potential of their data capabilities. While the allure of household names in enterprise consulting often promises stability,...
Real-World Applications of Artificial Intelligence in Business
My name is Tyler Garrett, I'm a Senior Consultant and founder of dev3lop. I'm excited to talk to you about how artificial intelligence, is used, in the real world. Artificial Intelligence (AI) has moved far beyond futuristic concepts. Today, AI is actively...
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...
How to Spot Data Silos Holding Your Business Back
Data silos quietly undermine business efficiency, yet many organizations don't realize the extent of the damage until profitability starts to slip. Isolated pockets of data create blind spots, disrupt collaboration, and slow down decision-making. For companies aiming...
What Is a Data-Driven Culture and Why Does It Matter?
In today's competitive landscape, organizations are constantly searching for ways to sharpen their edge and improve profitability. One powerful yet often misunderstood strategy is adopting a data-driven culture. But what exactly does that mean, and why is it so...
The Differences Between a Data Engineer and a Data Analyst
Understanding the distinct roles within the data ecosystem is crucial for businesses aiming to harness data effectively. Two often-confused positions—data engineer and data analyst—serve very different purposes, yet both play pivotal roles in transforming raw data...
Data Quality: The Overlooked Factor in Profitability
In today’s data-driven business landscape, information is often described as the "new oil." Yet, not all data is created equal and most are still stuck in spreadsheet land. While many companies invest heavily in analytics tools and data platforms, one critical factor...
Why Data Warehouses Are Critical for Breaking Free from Manual Reporting Loops
There’s a strange irony in how many businesses chase AI-powered insights while still relying on spreadsheets and CSV files for critical reporting. Everyone’s eager to talk about machine learning, automation, and next-gen analytics, but behind the scenes, many...
Why Data Modeling Is the Blueprint for Data-Driven Success
Data modeling might sound complex, however it’s a blueprint for making smarter business decisions and increased profit. Imagine constructing a building without a clear design—walls in the wrong places, missing rooms, and chaos. That's exactly what happens when...
Spotting Patterns: How Machine Learning Enhances Fraud Detection
Fraud detection is no longer just about reacting to incidents; it’s about predicting and preventing them before they escalate. At the heart of this proactive approach is machine learning (ML)—a powerful tool that enables systems to spot patterns and anomalies in ways...
The Role of Data Streaming, Stopping Fraud Before It Happens
Fraud detection is no longer about reacting after the damage is done—it’s about prevention, powered by real-time insights. With open-source tools like WebSockets and Node.js, businesses can build scalable, efficient fraud detection systems without breaking the bank....
Webhooks 101: A Game-Changer for Real-Time Fraud Detection
Fraud prevention is all about speed and precision. In a digital world where transactions happen in milliseconds, businesses can no longer afford delays. Enter webhooks—the silent game-changers that enable real-time alerts and actions. This article will break down what...
From Spreadsheets to Streaming: How Fraud Detection Has Evolved
Fraud detection has come a long way. What once relied on manual reviews and endless spreadsheets is now powered by real-time streaming data, automation, and advanced engineering techniques. Let’s explore this journey, highlighting why businesses must evolve their...
Real-Time Presence Indicators to Improve Apps
Real-time presence indicators is a cool feature request coming to your backlog. If you need to improve your companies software, DEV3LOP is here to discuss real-time presence indicators! I spent many nights creating a new software Vugam, but now I need to make my...
Automation
Send LinkedIn Data to Google BigQuery Using Node.js
In order to export data from LinkedIn to Google BigQuery using Node.js, it is necessary to utilize both the LinkedIn API and the BigQuery API. This process can be broken down into the following high-level steps: first, register as a developer on the LinkedIn API...
Send Instagram Data to Google BigQuery Using Node.js
Are you eager to start sending Instagram data to Google Big Query using Node.js and have not found snippets of code needed to connect the dots? First, you'll need to register as a developer on the Instagram API platform and obtain an access token. You can use this...
Send Facebook Data to Google BigQuery Using Node.js
To transfer data from Facebook to Google BigQuery, you can use the Facebook Graph API to obtain the data and then utilize the Google Cloud API to load it into BigQuery. This is a general overview of the steps involved in this process: Create a Facebook developer...
Business
Turning Business Chaos into Order Using Data Architecture
Businesses are overwhelmed with fragmented tools, excel analytics, siloed data, and then a constant push to innovate faster. Leaders know they have valuable data—but turning that data into something usable feels like chasing a moving target. If your team is stuck in a...
Understanding the Core Principles of AI Agents
AI Agents are central figures in the evolving landscape of artificial intelligence, designed to observe their surroundings, interpret data, and make decisions with minimal human intervention. In essence, an AI Agent is a software program that can learn from experience...
Real-World Applications of Artificial Intelligence in Business
My name is Tyler Garrett, I'm a Senior Consultant and founder of dev3lop. I'm excited to talk to you about how artificial intelligence, is used, in the real world. Artificial Intelligence (AI) has moved far beyond futuristic concepts. Today, AI is actively...
TableauHelp
Tableau Desktop is your Data Extract BI Software
Tableau Desktop is freedom from the traditional business intelligence projects, waiting around to get started because the data is not prepared, one data source is not clean enough to use in a report, the data needs further classification to add more value, and then...
Tableau Server – A Quick Guide To Success in BI
Tableau Server is the stomping ground for Tableau Desktop Dashboards! Also, welcome to the fastest growing business intelligence tool ever. Tableau Server has very natural user functionality and security measures for any enterprise setup. We have experience...
Learn how to optimize images in Tableau Desktop
Learn how to optimize images or Tableau Desktop is slower. Optimize images in Tableau Desktop before publishing to Tableau Server. Before Tableau Server, have ground rules, bare minimums or maximums for image file sizes, similar to this image below, a stock image from...
Solutions
Hyperdimensional Computing Approaches to Analytics
Businesses confront immense volumes of complex and multi-dimensional data that traditional analytics tools sometimes struggle to fully harness. Enter hyperdimensional computing (HDC), a fresh paradigm offering breakthroughs in computation and pattern recognition. At...
Immutable Data Architectures: Benefits and Implementation Patterns
In today's fast-moving landscape of data innovation, harnessing the power of your organization's information assets has never been more crucial. As companies ramp up their analytical capabilities, decision-makers are grappling with how to ensure their data...
Edge Analytics Mesh: Processing Data Where It’s Generated
Imagine a world where information is transformed seamlessly into actionable insights at the exact point where it originates. No waiting, no latency, no unnecessary routing back and forth across countless data centers—only real-time analytics directly at the data...
SQL
Mastering Range Filtering with the SQL BETWEEN Operator
In SQL, the BETWEEN operator provides a powerful mechanism for filtering data within a specified range. It allows you to retrieve records that fall within a given range of values, inclusive of the endpoints. Whether you need to query date ranges, numerical intervals,...
Mastering the SQL WHERE Clause: Filtering Data with Precision
The WHERE clause in SQL is a powerful tool for filtering data and retrieving specific information from a database. By using conditional statements and logical operators, the WHERE clause allows you to narrow down your query results based on specified conditions. In...
The SQL IN Operator: Efficient Filtering of Multiple Values
In SQL, the IN operator is a powerful tool for filtering data based on multiple values. It allows you to specify a list of values to match against a column, providing a concise and efficient way to filter data. Whether you need to retrieve specific records or perform...