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
Exploring Four Important Python Libraries for Enhanced Development in 2023
Python's versatility and rich ecosystem of libraries make it a powerful programming language for various domains. In this blog, we will delve into four important Python libraries that are widely used and highly regarded in the development community. These libraries...
Exploring Four Popular Visualization Products for Data Analysis in 2023
Data visualization plays a pivotal role in understanding complex datasets, enabling us to extract valuable insights and make informed decisions. With an abundance of visualization tools available, new players enter the data visualization consulting arena daily, and it...
Leveraging Social Media Data: The Pros and Cons for Business Insights
Social media has become an integral part of people's lives. It has not only transformed the way we interact with each other but has also revolutionized the way businesses operate. Social media platforms have enabled businesses to communicate with their customers...
Building Trust with Users Through Transparent Data Sharing
Data sharing is becoming increasingly common as companies seek to leverage user data to improve their products and services, and in our Tableau Consulting Services it's considered the end game (sharing with end users). While data sharing can bring benefits such as...
Enhancing User Experience with a Clear and Concise Privacy Policy
In today's digital world, privacy has become a major concern for users. With data collection and analysis practices becoming more sophisticated, users want to be assured that their personal information is being handled in a secure and transparent manner. One way to...
Balancing Data Collection and User Privacy with Consent Management Systems
In the digital age, personal data is constantly being collected and processed by companies for various purposes. From online shopping to social media use, users leave behind a trail of personal information that is often used for targeted advertising and other...
5 Software Engineering Ideas to Enhance Ethical Data Collection and Analysis Practices
Business intelligence (BI) refers to the practice of using data to inform business decisions and it's something we help companies understand during our Tableau Consulting Service engagements. With the rise of big data and advanced analytics, BI has become an...
Business Intelligence for Non-Profits
When we think of business intelligence (BI), we often think of it as a tool exclusively for businesses looking to optimize their operations and increase profits, similar to how we help companies with Tableau Consulting Services. However, non-profit organizations can...
The Role of Business Intelligence in Employee Retention
In today's highly competitive job market, retaining top talent is crucial for businesses to succeed. Employee turnover can be costly and disruptive, leading to a loss of institutional knowledge and a decrease in productivity. However, with the help of business...
The Importance of Data Privacy in Fintech: Protecting User Information in a Digital World
Data privacy has become a critical concern, particularly in the financial technology (fintech) industry. Fintech companies handle sensitive financial information, making data privacy a top priority for both consumers and businesses. In this blog, we will explore the...
The Power of Big Data in Fintech: How Analytics is Changing the Financial Landscape
The financial landscape is evolving rapidly, and big data analytics is at the forefront of this transformation. Fintech companies are using data to make more informed decisions, improve operational efficiency, and offer more personalized financial services to...
The Future of Data Processing: How Quantum Computing is Set to Transform the Data Industry
Quantum computing is a new technology that has the potential to transform the way we process and analyze data. Unlike classical computing, which uses binary digits or bits to represent information, quantum computing uses quantum bits or qubits, which can exist in...
Data Regulation: What Businesses Need to Know About Data Ethics and Privacy Standards
In today's digital age, data is often referred to as the "new oil" as it has become a valuable commodity for businesses across various industries. However, as data becomes more ubiquitous, concerns around data ethics and privacy are also on the rise. In this article,...
Unlocking the Power of IoT: How Connected Devices are Driving Business Innovation
The Internet of Things (IoT) is rapidly growing and has already started to transform the way we live and work. With the ability to connect and communicate with each other, IoT devices are generating vast amounts of data that can be used to drive business innovation...
Blockchain’s Potential Impact on the Data Industry: A Look into the Future
Blockchain technology is rapidly gaining popularity across various industries, from finance and healthcare to logistics and supply chain management. This technology is a secure, decentralized ledger that can record and verify transactions, providing a transparent and...
The AI and ML Revolution: How These Technologies are Transforming the Data Industry
Artificial Intelligence (AI) and Machine Learning (ML) are two buzzwords that are becoming increasingly popular in the world of technology. They are two closely related technologies that have the potential to revolutionize the way businesses operate and make...
The Future of Data: Predictions for the Next 5 Years
Data is rapidly becoming one of the most valuable assets in the world. In the coming years, we can expect to see a number of emerging trends and technologies that will shape the data industry. In this article, we will examine some of the key predictions for the future...
Unlocking the Power of Data: 5 Use Cases for Data-Driven Businesses
In today's digital age, data has become a valuable asset for businesses. By leveraging data analytics, businesses can gain valuable insights into their operations and customers, leading to improved decision-making and better business outcomes. In this article, we will...
Sentiment Analysis in Python using the Natural Language Toolkit (nltk) library
Sentiment Analysis, also known as Opinion Mining, is a field of study that deals with the computational treatment of opinions, sentiments, evaluations, and emotions expressed in text. It is used to determine the polarity of a text, whether it is positive, negative, or...
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...
The Basics of Natural Language Processing (NLP)
Processing unstructured text can take various approaches. One way is to split paragraphs based on new lines and break sentences by focusing on spaces. However, this can lead to the need for sourcing your own scoring data to join with your unstructured data source, and...
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...
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...
Streamlining Your Database Management: Best Practices for Design, Improvement, and Automation
Designing, improving, and automating processes like database provision, schema migration, and capacity planning can be a challenging task, but with the right approach, it can be made much simpler. In this article, we will explore some best practices and tools that can...
The Finance Industry’s Over-reliance on Data: The Risks and Drawbacks
Here’s a polished rewrite of the piece with a more modern, consulting-savvy tone, built for blog or LinkedIn visibility—and a few links to dev3lop.com added in naturally to align with your offerings: The Finance Industry's Over-Reliance on Data: The Risks and...
The Role of Data Scientists Will Continue to Evolve
Data science is a rapidly growing field that has seen a significant increase in demand in recent years. With the rise of big data and the increasing need for businesses to make data-driven decisions, data scientists have become essential to organizations of all sizes...
Creating Interactive Dashboards in Tableau
Creating interactive dashboards in Tableau is a powerful way to communicate complex data sets in an easy-to-understand way. Tableau is a popular tool for creating interactive dashboards because of its powerful visualization capabilities and ease of use. We started a...
Investing in the Right Customers: How CLV Analysis Can Help You Optimize Retention Strategies
Customer lifetime value (CLV) analysis is a technique used by businesses to estimate the total value of a customer to a business over their lifetime. By analyzing customer data, businesses can gain valuable insights into customer behavior and spending patterns and use...
Automation
The benefits of using ETL in data warehousing.
ETL, or Extract, Transform, and Load, is a process used in data warehousing to extract data from various sources, transform it into a format that can be loaded into a target system or data warehouse, and then load it into the target system. This process is useful...
A beginner’s guide to ETL (Extract, Transform, Load).
ETL is a process in data warehousing that involves extracting data from various sources, transforming it into a format that is suitable for analysis, and loading it into a target database or data warehouse. This process is commonly used to integrate data from multiple...
Solution: The ability to connect to Google Sheets greater than 10 MB is currently not built into the product.
When building a data source on Google Sheets in Tableau Desktop 10mb is the max per Google Sheet. However, what if we could connect to more than one Google Sheet at the same time? Google Sheets works wonders with Tableau Public because it allows...
Business
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....
What Is a Semantic Layer and Why Should You Care? 🚀
We encounter a common challenge: a company with a lot of truth in spreadsheets, and often desperately in need of a semantic layer. This is a common scenario for even powerful enterprises. Picture this—a fast-growing e-commerce company tracking every critical metric in...
TableauHelp
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Solutions
Creating Accessible Data Visualizations for All Users
In today's data-driven world, compelling visual storytelling is not just an added value— it's a necessity. The challenge many organizations face, however, is ensuring their data visualizations don't just captivate audiences—they also remain accessible and meaningful...
The Role of Data Engineers in the Age of AI
In today's rapidly evolving technological landscape, artificial intelligence (AI) has transitioned from futuristic buzzword to critical business advantage. As organizations race to leverage AI for predictive analytics, automation, decision-making, and innovation, the...
Hexagonal Architecture for Data Platforms: Ports and Adapters
Data has transformed into the lifeline of organizations seeking to maintain technological leadership and innovation. Yet, as data platforms grow increasingly complex, engineers and strategic decision-makers continually face challenges around system modularity,...
SQL
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