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
Multi-Level Data Lineage: Business to Technical Traceability
Imagine a scenario where a vital business report raises eyebrows during an executive meeting. Decision-makers question the validity of data points, and the technical team quickly dives into a frantic root-cause analysis. Without multi-level data lineage, identifying...
Deprecation Policy Implementation for Legacy Data Assets
Imagine steering an old, reliable ship – sturdy, but burdened by countless layers of patched repairs and outdated technologies. Though it still sails, every wave and gust of wind threatens stability. Similarly, legacy data assets often form a hidden backbone of your...
Impact Analysis Automation for Upstream Schema Changes
The pace of digital transformation brings agility, flexibility, and powerful analytics capabilities into the heart of business strategies. Yet, with insightful analytics comes inevitable upstream schema changes that could disrupt your organization's data operations....
Master Data Survivorship Rules Implementation
In today's hyper-competitive landscape, organizations recognize data as their most valuable asset—yet the true power of data lies in its quality, reliability, and timeliness. Master Data Management (MDM) provides a robust framework for organizations to realize these...
Data Retention Policy Technical Implementation Guide
In today's data-driven landscape, how organizations manage their data lifecycle not only impacts compliance and regulation but also shapes competitiveness and innovation. An effective data retention policy is more than just document management—it's a strategic lever...
Data Catalog API Design for Programmatic Metadata Access
In today's fast-paced data-driven landscape, organizations strive to become increasingly agile, responsive, and capable of turning raw data into actionable insights. A well-designed Data Catalog API plays a critical role in streamlining metadata management, boosting...
Enterprise Canonical Data Model Development Methodology
In a rapidly evolving digital landscape, enterprises contend with vast volumes of data flowing across hundreds of disparate applications, databases, and cloud platforms. As data pile-ups grow exponentially, organizations find themselves encumbered by redundant data...
API-Based Data Governance for Decentralized Organizations
In today's rapidly evolving landscape where operations span across various platforms and geographic locations, decentralized organizations encounter unique challenges in governing their vital asset: data. API-based data governance emerges as a robust solution,...
Knowledge Graph Implementation for Enhanced Metadata Discovery
Today's vast digital universe demands intelligent solutions capable of connecting and contextualizing information intuitively. Organizations grappling with mountains of data often find traditional methods of metadata discovery falling short in delivering comprehensive...
Data Asset Certification Process and Technical Implementation
In today's competitive business landscape, anyone can accumulate data, but not everyone transforms that data into a trusted asset capable of guiding their strategic decisions. Business leaders and data professionals must understand that data assets hold incredible...
Role-Based Access Control for Data Platform Services
In today’s data-driven landscape, decision-makers depend on powerful analytics insights, seamless data integrations, and efficient security frameworks to keep their organizations competitive. Yet, despite investing heavily in sophisticated data platforms, many leaders...
Privacy-Preserving Record Linkage Techniques
In today's data-driven world, organizations are increasingly leveraging data analytics to drive critical decisions, streamline operations, and maintain competitive advantages. The ability to accurately link records across datasets is foundational for a robust...
Reference Data Management System Architecture
Reference data stands as the backbone of any robust data-driven organization—offering consistently structured data credentials crucial for analysis, decision-making, compliance, and operational excellence. Architecting an effective Reference Data Management (RDM)...
Data Element Collision Detection in Enterprise Integration
In a bustling digital ecosystem, data flows freely across numerous applications, systems, and platforms. Business leaders understand well the critical need to preserve data integrity and harmonious integration as their organization scales. Imagine data streams as...
Semantic Versioning for Data Schemas and APIs
In today’s rapidly evolving digital landscape, data-driven companies must continuously innovate to stay ahead. As the volume and complexity of data increases, managing data schemas and APIs becomes a critical factor influencing business agility, reliability, and...
Data Quality Rule Expression Language Design
In the realm of data-driven decision-making, good data quality isn't just advantageous—it's essential. Leaders who rely on analytics to refine strategies, streamline operations, and enhance competitiveness know that even small inaccuracies or anomalies in their data...
Homonym and Synonym Resolution in Enterprise Glossaries
Imagine a scenario you've likely encountered: you're in a key strategic meeting, and stakeholders from different departments are converging. They start discussing "repairs"—marketing understands it as customer relationship repair, finance thinks warranty expenses, and...
Golden Record Management in Multi-Source Environments
In today's hyper-connected digital landscape, enterprises face the inherent complexity of operating with diverse data sources. Whether it's customer records, transactional histories, or operational metrics, data redundancy and discrepancies are typical pitfalls that...
Distributed Metadata Management Architecture
Facing the exponential growth of data today, organizations are challenged to maintain efficient, scalable, and trustworthy metadata systems. Metadata is the orchestrator behind the curtain, empowering critical operations such as data exploration, governance, lineage...
Data Ownership vs. Data Stewardship: Technical Implementation
In today’s data-driven environment, organizations perceive data not just as a byproduct of operations, but increasingly as a strategic asset that fuels innovation and competitive advantage. However, alongside the technical evolution comes an important debate: data...
Data Taxonomy Development for Unstructured Content
In today's rapidly evolving digital landscape, organizations are often inundated with overwhelming volumes of unstructured content. Emails, documents, audio files, videos, and social media data can create clutter rather than clarity. To turn this tremendous data...
Inter-Company Data Sharing Governance Framework
Navigating today's incredibly fast-paced digital ecosystems requires businesses not only to leverage their data effectively but also to strategically share and exchange it with external partners. Whether it's supply chain insights, customer behavioral patterns, market...
Column-Level Encryption for Sensitive Data Fields
In today's fast-paced digital environment, businesses are the stewards of increasingly vast amounts of sensitive information, from financial figures and employee personal records, to confidential client data. With great data comes not only great opportunity, but also...
Data Field Deprecation Signals and Consumer Notification
In today's rapidly evolving technology landscape, outdated data strategies can spell doom for data-driven enterprises. Yet, even more insidious than outdated systems are obsolete data fields that silently threaten analytics accuracy and operational workflows....
User-Driven Data Classification Implementation
Imagine meticulously collecting terabytes of data only to discover significant organizational confusion surrounding what it all truly means. In today's competitive landscape, where accurate decisions hinge on speedy data retrieval, understanding the information in...
Granular Access Log Implementation for Data Usage Auditing
Imagine being able to trace the exact path any user takes through your organization's data platforms—understanding in real-time who accessed specific data, how frequently, and for what purpose. With businesses increasingly relying on data-driven decisions, granular...
Data Element Cross-Reference Registry Implementation
In our increasingly interconnected digital world, the complexity of data integration across various systems is evolving rapidly. Business leaders are navigating intricate data landscapes, facing constant challenges of data fragmentation and inconsistency. Implementing...
Propagating Data Classification Tags Through Transformations
In a modern analytics environment, data doesn't stay stationary—it constantly transforms, integrates, and morphs to deliver strategic insights. However, as data moves and evolves, its classification tags—privacy, sensitivity, compliance, and ownership—must remain...
Enterprise-Wide Data Type Standardization Framework
Data is the lifeblood of the modern enterprise, fueling innovation, strategic decision-making, and competitive advantage. Yet, despite recognizing its value, many organizations grapple with inconsistent, fragmented data types that hamper their analytical capabilities...
Time-Limited Access Control Implementation for Data Assets
In the rapidly evolving digital ecosystem, companies accumulate vast volumes of data that hold immense operational, strategic, and competitive value. However, protecting sensitive information while allowing appropriate access to stakeholders remains a constant...
Automation
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...
Increase Website Speeds: DALL·E images from PNG to JPEG or/and WEBP.
In todays article we will teach you how to trim your Dalle images and more than anything increase your load speeds on your websites, applications, and dashboards. Often when you load an image to a software, you're thinking about the load speed because that will...
Using Python for Named Entity Recognition (NER), A NLP Subtask
Named Entity Recognition (NER) is a subtask within natural language processing (NLP) with the objective of recognizing and organizing named entities in text. Think of a persons name, a company name, or a place. The ne_chunk() function in the nltk.chunk module...
Business
If You Use Excel To Solve a Problem, You’re in a Waterfall Project
You’ve probably heard it said that Excel is the “Swiss Army Knife” of business tools. It can crunch numbers, track budgets, and even spin up in-house dashboards. But when your organization relies on spreadsheet pivot tables to make key decisions, there’s a strong...
Driving Value in Quick API Consulting Engagements
In an age dominated by digital transformation, quick API consulting engagements are becoming more crucial than ever. Every organization, from emerging startups to established enterprises, is seeking efficient ways to integrate systems, leverage real-time data, and...
From Gut Feelings to Predictive Models: A Client Journey
Imagine standing on the edge of a data goldmine, uncertain how to tap into its riches. You sense the vast potential, but your instincts alone aren’t enough to navigate the complexities of modern analytics. That’s precisely where our data-focused software consulting...
TableauHelp
You Don’t Need Tableau — You Need to Learn SQL
In today's world, every business buzzword seems to center around Tableau or other visualization tools. Companies often rush towards flashy dashboards and visualization software without first addressing the fundamental foundation—robust data manipulation through SQL....
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...
How to write fast calculations in Tableau Desktop
Are you trying to write faster calculations in Tableau Desktop? Or are you interested in optimizing your calculations for improved speeds in Tableau Desktop? You're in good company. Dev3lop is an advanced analytics consultancy, that started our business helping...
Solutions
Building a Culture of Data Literacy in Your Organization
Imagine an organization where every department, from marketing to supply chain, confidently utilizes data-driven insights to make smarter decisions every day. Today’s most competitive organizations are propelled by robust data literacy, enabling their teams to not...
How to Transition from Traditional ETL to Modern Data Engineering
Businesses today live and breathe data, needing access not just to raw information but sophisticated insights that strategically empower decisions. Historically, companies relied on traditional Extract, Transform, Load (ETL) processes to develop data analytics...
Handling Streaming Data at Scale: Technologies and Patterns
In today's data-intensive landscape, waiting for static batch analyses to deliver actionable insights is no longer sufficient. Competitive businesses rely on real-time processing of data streams to monitor customer interactions, operational efficiency, security...
SQL
Differences between PostgreSQL and SQL Server
Did you know that PostgreSQL and SQL Server are two of the most popular databases for managing relational data worldwide? These databases are commonly used for enterprise edition applications, allowing developers to define primary key constraints and efficiently...
Comprehensive Guide to GROUP BY in SQL
The GROUP BY clause in SQL is a powerful feature that allows you to group rows based on the values in one or more columns. It enables you to perform aggregate functions on groups of data, producing summary results from large datasets. By using the GROUP BY clause...
GRANT: Granting Privileges and Permissions in SQL
The GRANT statement in SQL is a powerful command that allows you to provide specific privileges and permissions to users or user roles within a database. It enables you to control access to database objects and define what actions users can perform on those objects....