สนิทวงศ์ กมลภากรณ์
ปริญญาโท คณะเทคโนโลยีและสารสนเทศ พระจอมเกล้าเจ้าคุณทหารลาดกระบัง
Profile (PDF)Joined IT Genius Institute: 17 สิงหาคม 2556
Many organisations still have data spread across ERP systems, application databases, Excel files and CSV files that must be combined every day for reporting and the data warehouse. This work often starts as scripts or manual copying, which break easily,…
Many business systems keep critical logic in SQL Server: saving orders, deducting stock, calculating commissions and running reports that applications call every day. Stored procedures written without standards often ignore errors and leave data half-written…
Microservices split a large system into smaller services that can be developed, deployed and scaled independently. Each service owns its database and talks to others through APIs or messages. Teams can work in parallel and change one part at a time, but this…
Blazor lets C# developers build interactive web pages using the same language on the front end and the back end, and Blazor WebAssembly runs .NET code directly in the browser. Paired with MongoDB, which stores flexible documents, it makes web applications…
Rust delivers performance on a par with C and C++ while preventing memory errors at compile time, without a garbage collector. That is why it is increasingly used for systems work, command-line tools and backends that need both speed and stability. Beginners,…
Deep learning is the engine behind the AI systems people use every day, from image classification and object detection on camera feeds to sentiment analysis of text and large language models. But the tools move fast: the TensorFlow 1 and Keras 2 style code…
Go, or Golang, is a language developed at Google that has become popular for backend, cloud and DevOps tooling. It compiles to a single file that runs anywhere you copy it, performs well, uses little memory and handles large amounts of concurrent work through…
Web APIs sit at the heart of modern systems, serving single-page web apps, mobile apps, back-office services and integrations between organisations. A well-designed API speaks plain REST, validates data before saving it, reports errors in one consistent…
Elasticsearch is a distributed search and analytics engine widely used both for search inside applications and for storing system logs so they can be investigated later, while Kibana is the interface for exploring that data and building charts and dashboards.…
Elasticsearch is a distributed search and analytics engine built on Apache Lucene. It powers search inside applications, log analytics and vector storage for AI work, while Kibana is used to explore and visualise the data. Both have moved on a long way in…
Inspecting parts, counting products, reading values from images and detecting people or vehicles from a camera all start with sound image processing. OpenCV is the leading open source library for computer vision and works with Python straight away, and OpenCV…
Predictive analytics helps organisations forecast sales, spot customers who are likely to leave or estimate risk from the data they already have. Orange Data Mining is an open source tool that builds this kind of work by dragging widgets onto a canvas and…
Many organisations already hold plenty of data but cannot turn it into forecasting models or customer segments because their teams are not comfortable writing code. KNIME Analytics Platform is an open source tool that builds analytics by connecting nodes into…
Modern applications store data as JSON documents whose structure can change, and users expect to type a search for products, articles or customers and get relevant results immediately, even with typos or different wording. Searching with LIKE in a typical…
FastAPI is a popular framework for building APIs in Python because it is concise, fast, validates data automatically from type hints and generates API documentation straight away. At the same time, many organisations keep their core data in Microsoft SQL…
Gin is a Go web framework widely used by backend teams to build RESTful APIs because it is fast, simple to write and comes with middleware and binding built in. GORM lets you work with a database without writing every line of SQL yourself. Yet many examples…
In many organisations data science work stops at the notebook. A model that forecasts sales or risk is finished but never used, because other systems cannot call it, nobody knows which version is best, and predictions are not kept for later review. Data…
Much of the work in organisations that run Oracle Database involves multi-step data processing, such as payroll calculations, end-of-day closing or moving data between tables. Written as one SQL statement at a time from the application side, this work is…
A good dashboard does more than show what sales were. It should help answer why the numbers changed, which customers are about to leave and which points are unusual enough to need attention now. Power BI has built-in AI visuals that answer these questions…
Many organisations want every department to look at dashboards built on the same data, but are held back by per-user licence costs, data that must stay on their own servers, or a mix of databases their current tools cannot all connect to. Apache Superset is…
