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
Hourly Consulting Support, Expertise When You Need
Agility isn’t just a buzzword—it’s a requirement. Businesses are continuously trying to scale, adapt, and deliver results faster than ever. Traditional fixed-scope software contracts, while historically reliable, are proving to be too rigid for the pace of modern...
Creating Executive Dashboards That Drive Real Decisions
In today’s analytics environment, executives are overwhelmed with data but underwhelmed with insight. Dashboards are everywhere—but true decision-making power is not. A well-designed executive dashboard should be more than a digital bulletin board. It should be a...
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...
We Audited 10 Dashboards and Found the Same 3 Mistakes
The business world runs on data, but data alone isn't enough—companies need actionable insights presented clearly and accurately. Dashboards have become essential tools for decision-making, empowering everyone from frontline employees to top executives. Yet, most...
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...
Why We Recommend Python Over Tableau Prep for Data Pipelines
When it comes to building scalable, efficient data pipelines, we’ve seen a lot of businesses lean into visual tools like Tableau Prep because they offer a low-code experience. But over time, many teams outgrow those drag-and-drop workflows and need something more...
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...
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...
Automation
Python Code to Begin Part-of-Speech Tagging Using a Web Scrapped Website
Part-of-speech tagging, also known as POS tagging or grammatical tagging, is a method of annotating words in a text with their corresponding grammatical categories, such as noun, verb, adjective, adverb, and sometimes this is referred to as data mining. This process...
Collaboration Across the Company: Driving Reliability, Performance, Scalability, and Observability in Your Database System
Partnering with teams across the company to drive reliability, performance, scalability, and observability of the database system is essential for ensuring the smooth operation of the system. In this article, we will discuss the benefits of partnering with other teams...
Creating an Efficient System for Addressing High-Priority Issues: Building a Tooling Chain
Building a tooling chain to help diagnose operational issues and address high-priority issues as they arise is crucial for ensuring the smooth operation of any system. In this article, we will discuss the steps that you can take to build a tooling chain that can help...
Business
How to Identify and Remove “Zombie Data” from Your Ecosystem
“Zombie Data” lurks in the shadows—eating up storage, bloating dashboards, slowing down queries, and quietly sabotaging your decision-making. It’s not just unused or outdated information. Zombie Data is data that should be dead—but isn’t. And if you're running...
Real Use Cases Where ELT Outperformed ETL
In the ever-evolving world of data architecture, decision-makers are often faced with a foundational choice: ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform)? For years, ETL was the gold standard—especially when on-prem systems and batch processing...
Data Governance for Strategic Decision-Making: A Business Perspective
Companies are generating more data than ever before. But with this surge in information comes a critical question: are we using our data strategically, or just storing it? The difference between data hoarding and data empowerment often comes down to one foundational...
TableauHelp
Improving Tableau Server Meta Data Collection with A Template
Tableau Dashboard development and end user usage dictates meta data creation or lack thereof. We have a template for you. It helps you formulate a large amount of navigation from a single landing page. A large journey that increases views per visit. This is helpful...
Create a Trailing Period over Period logic in Tableau Desktop
Today, we would like to highlight the functionality of Date Buckets, which is how we like to think of it mentally, and others call it Period-over-Period Analysis within Tableau Desktop. Both periods are buckets of dates and work great with min(1) kpi dashboards and...
Tableau Pricing | Three New Tableau Prices Explained!
Tableau Pricing has simplified to 3 different user purchases and Tableau aka Salesforce increased their price. The Tableau pricing does change, so be aware of what they are offering! The Tableau price is broken into the users ability to access the Tableau Desktop...
Solutions
Microservice Telemetry Aggregation Patterns for Real-Time Insights
In the rapidly evolving landscape of software architecture, microservices have emerged as a powerful way to build scalable, manageable, and robust applications. However, with dozens or even hundreds of services operating simultaneously, capturing real-time insights...
Top 5 Data Mistakes Found in Startups This Year
In today's ultra-competitive environment, startups need more than innovative ideas – they require a rock-solid data foundation to scale success. Yet, even the most promising startups often stumble, overlooking critical data practices that can differentiate explosive...
What’s it like Hiring Engineers Focused On Improving Your Data Environment
Hiring engineers specifically dedicated to enhancing your data landscape isn't just a staffing decision—it's an investment in the future of your organization. The right data engineer transforms your entire business ecosystem, turning fragmented information into...
SQL
REVOKE: Revoking Privileges, Managing Access Control in SQL
The REVOKE statement in SQL is used to remove specific privileges and permissions from users or user roles within a database. It allows you to revoke previously granted privileges and restrict user access to database objects. By using the REVOKE statement effectively,...
CREATE VIEW: Creating Virtual Tables with Query Results in SQL
The CREATE VIEW statement in SQL allows you to define a virtual table based on the results of a query. A view is a saved SQL query that can be treated as a table, providing a convenient way to simplify complex queries, encapsulate business logic, and enhance data...
CREATE INDEX: Enhancing Data Retrieval with Indexing in SQL
The CREATE INDEX statement in SQL allows you to create an index on one or more columns of a table. Indexing is a powerful technique used to improve the performance and speed of data retrieval operations. By creating indexes, you can efficiently locate and access data...