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
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,...
Seasonality Effects: Adapting Algorithms to Cyclical Data
In the dynamic landscape of data analytics, seasonality is an undeniable force shaping your strategic decisions. Businesses confronting cyclical data variations—whether daily, monthly, or annual trends—must adapt algorithms intelligently to uncover impactful insights...
Hot, Warm, Cold: Choosing the Right Temperature Tier for Your Bits
In the digital age, data is the lifeblood flowing through the veins of every forward-thinking organization. But just like the power plant supplying your city’s electricity, not every asset needs to be available instantly at peak performance. Using temperature tiers to...
Trees, Graphs, and Other Recursive Nightmares in Hierarchical Workloads
If you’ve ever ventured into the realm of hierarchical data, you've surely encountered the bittersweet reality of recursive relationships—those intricate, repeating patterns embedded within trees, graphs, and nested structures that both fascinate and frustrate data...
The Metadata Maze: Extracting Schemas from Unstructured Blobs
In today's data-driven landscape, the volume and variety of unstructured information flowing daily into organizations can quickly become overwhelming. With business leaders and technologists recognizing the immense potential hidden in unstructured data—such as images,...
Data on a Shoestring: Open Source vs Enterprise Pipeline Costs
Every organization aims to become data-driven, but not every organization enjoys unlimited resources to achieve that vision. Leaders tasked with managing data-rich environments find themselves confronting a perennial question: Should we embrace cost-effective...
Sampling Isn’t Dead: Modern Stats Techniques for Big-Data Workloads
When the term “big data” emerged, many tech leaders believed that traditional statistical strategies such as sampling would quickly become extinct. However, rather than fading away, sampling has evolved, keeping pace with rapid innovation and the massive data influxes...
Graceful Degradation: Surviving When Everything Goes Wrong in Batch Jobs
Picture this: your data-driven enterprise relies heavily on nightly batch processing to power critical business decisions, but one evening, disaster strikes—pipelines break, dependencies fail, and your morning analytics dashboard starts resembling an empty canvas....
Parquet vs ORC vs Avro: The File-Format Performance Showdown
In today's data-driven landscape, selecting the right file format isn't merely a technical detail; it's a strategic business decision. It affects query performance, storage efficiency, ease of data transformation, and, ultimately, your organization's competitive edge....
Unicode Nightmares Solved: Processing Multi-Language Text
In the digital era, data doesn't speak a single language—it's a multilingual symphony playing across global applications, databases, and interfaces. This multilingual reality brings with it complexities, intricacies, and sometimes outright nightmares in the form of...
Lineage Tracking at Scale Without Sacrificing Throughput
As digital environments grow increasingly complex, tracking data lineage becomes vital for organizations aiming for transparency, trust, and operational efficiency. Implementing scalable lineage tracking without compromising throughput is a unique challenge businesses...
Hot Partitions: The Hidden Curse in Distributed Pipelines
In the fast-paced world of data pipelines and analytics, companies turn to distributed systems to achieve scalability, efficiency, and performance. However, hidden beneath these layers of scalability lurks an insidious challenge known as "hot partitions." These...
Quantum Internet Visualization: Entanglement Network Mapping
As quantum computing edges closer to reshaping entire industries, one particularly intriguing aspect of this emerging technology is the quantum internet. Unlike traditional data networks, quantum networks make use of quantum entanglement—a phenomenon Einstein famously...
Data Fabric Visualization: Stitching Hybrid Workloads
Imagine your hybrid data workloads as a symphony orchestra—each instrument valuable on its own, but truly transformative only when harmonized by the conductor. In the music of modern analytics, your data strategy serves as the conductor, managing diverse data sources,...
Brain-Computer Interface Analytics: Neural Signal Visualization
Imagine a world where our brains directly communicate with technology, bridging cognition and computation seamlessly. Brain-computer interfaces (BCIs) are evolving from futuristic concepts to transformative realities, unlocking profound potential in healthcare,...
Dark Data Discovery: Illuminating Unused Information Visually
In today's rapidly evolving data-driven world, organizations sit atop mountains of information, yet vast quantities of data remain hidden in obscurity—unused, unseen, and untapped. Termed "dark data," these overlooked data assets hold tremendous potential to deliver...
Metaverse Analytics: Virtual World Data Visualization Platforms
Welcome to the new age of analytics, a place where immersive experiences meet precise insights—the Metaverse. As virtual worlds continue to expand, businesses have begun leveraging these digital ecosystems for more than just gaming or social connections—they're...
Real-Time Dashboard Performance: WebGL vs Canvas Rendering Benchmarks
In today's hyper-competitive market, visually compelling and responsive real-time dashboards are no longer simply attractive enhancements—they're mission-critical tools empowering strategic business decisions. Whether monitoring operational metrics in manufacturing,...
Executive Data Storytelling: Converting Analytics into Business Action
Decision-makers need compelling stories backed by insightful analytics. Powerful executive data storytelling is the bridge between complex data analyses and decisive, impactful business actions. Through strategic visualizations and compelling narratives, organizations...
Visualization Ethics: Preventing Misleading Chart Design in Corporate Reports
In the era of digitization, data has become the lifeblood of corporations aiming to innovate, optimize processes, and strategically enhance decision-making. Corporate communication teams depend heavily on visualizations—charts, graphs, and dashboards—to simplify...
Edge Computing Visualization: Rendering Analytics at the Data Source
The exponential surge in data volume is transforming how businesses strategize, compete, and innovate. Today, capturing insights in real-time has shifted from being a nice-to-have capability to a critical necessity. The conventional model of centralized analytics,...
Processing Temporal Data: Dealing with Late-Arriving Events
Imagine your analytics system as a tightly choreographed dance performance. Every performer (data event) needs to enter the stage precisely on cue. But real-world data seldom obeys our neatly timed schedules. Late-arriving data, events that report well beyond their...
The Economics of Data Deduplication: Storage vs Compute Trade-offs
In the age of big data, modern businesses rely heavily on collecting, storing, and analyzing massive amounts of information. Data deduplication has emerged as a vital technology in managing this growing demand, achieving cost reductions and performance efficiency....
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
The Art and Science of Data Storytelling
Data is the lifeblood of informed business decisions, a potent force behind modern enterprises. Yet, structured spreadsheets and complex dashboards alone rarely motivate meaningful actions. Companies today don't just need raw data—they need compelling narratives that...
Cloud Data Warehousing: Comparing BigQuery, Redshift, and Snowflake
In today's hyper-connected, data-driven age, organizations seeking competitive advantage increasingly lean toward cloud data warehouses for agility, scale, and ease of maintenance. With business analytics playing a crucial role in strategic decision-making, selecting...
How to Optimize Database Performance for Analytical Queries
In the era of big data, analytics, and real-time insights, your database's ability to deliver fast, reliable performance for analytical queries can significantly impact business outcomes. Imagine being able to answer critical business questions immediately, fueling...
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...