Part 4: Conversion Alone Does Not Create Business Assets—STEP 1.5: 6 Steps for Loose Coupling, Containers, and Resolving Technical Debt

Summary of the previous installment As the second half of STEP 1.0, I wrote about how to convert COBOL to Python and verify ...

[Eliminate 3,800 Hours of Waste Annually] The Ultra-Practical Guide to Building 'Custom MCP Servers' to Securely Connect Claude Code and Cursor to Internal Data: A Roadmap to ...

Hello, this is Takumi.The history of AI coding is currently being rewritten.The speed of evolution for 'autonomous AI agents' like Claude Code, Cursor, and Google's Antigravity is staggering. The ...
databricks.com

Your data, your storage, your rules: a 2026 guide to storing Unity Catalog managed tables

Unity catalog managed tables allow you to control the placement of your data when your organization needs separate storage.
HackerNoon

Clean Architecture in Python: Building Maintainable APIs Without the Overkill

Learn how to apply Clean Architecture in Python without overengineering, using domain entities, use cases, Protocols, and ...
Hackaday

Abusing SQL To Play DOOM

Most laypeople who encounter SQL think of it purely as a tool for managing large datasets. While that is certainly what it was designed for, SQL is still a programming language at its core. It ...
HackerNoon

Migrating a Production Django App from Elasticsearch to OpenSearch

How CVE-2025-50181 exposed a urllib3 dependency trap and forced a production migration from the legacy Elasticsearch client ...
Geeky Gadgets

Power Query Prepares Excel Data While PivotTables Analyze It

Power Query, formulas and PivotTables each play a unique role in Excel workflows, addressing different stages of data handling and analysis. Power Query is designed for data preparation, such as ...
habr

Конструктор табличных значений, UNNEST(), TABLE(), STRING_SPLIT(), JSON_TABLE() — замена временным таблицам в SQL

Бывают ситуации, когда есть список значений, и нужно проверить, каких значений из списка нет в БД. Например, есть список: ['5-123', 'zak222', '65_1', '258a ...
KDnuggets

5 Useful DIY Python Functions for JSON Parsing and Processing

Working with JSON in Python is often challenging. The basic json.loads() only gets you so far. API responses, configuration files, and data exports often contain JSON that is messy or poorly ...
IEEE

TC-SQL: Table Completion-Based Optimization of Schema Linking for Text-to-SQL

Abstract: Text-to-SQL, as a hotspot in NLP, is a task of converting natural language text into the structured query language SQL, which makes database interaction more intuitive. This paper presents ...
IEEE

Next-Generation Database Interfaces: A Survey of LLM-Based Text-to-SQL

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...