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I. What is DuckDB? DuckDB is an open-source analytical database (OLAP) designed to optimize large-scale data processing on personal computers. Often referred to as “SQLite for analytics,” DuckDB offers convenience and efficiency in data processing, allowing users to quickly harness data without complex setup. III. Key Features of DuckDB Simplicity and Ease of Use: DuckDB doesn’t require complex server setup, making it easy to integrate into existing projects. High Performance: Built for data analysis, DuckDB supports complex queries and handles large datasets with impressive speed. Full SQL Support: DuckDB provides a rich SQL environment, supporting most standard SQL commands. Easy Integration: It integrates with popular programming languages like Python, R, and C++, enabling users to interact and analyze data seamlessly. III. Benefits of Using DuckDB No Complex Setup: Unlike other database systems, DuckDB doesn’t need intricate configuration—just download and use. Personal Computer Processing: DuckDB performs well on personal computers, allowing users to analyze data without requiring powerful server resources. High Integration Capability: DuckDB can be integrated into existing tools and applications, allowing seamless use in data analysis workflows. IV. How to Use DuckDB 1. Installation Installing DuckDB is straightforward, especially in Python: ...

Event streaming is a pattern for capturing data in real time from event sources such as databases. In this post, we will discuss how to use Kafka with Rails to create real-time data pipelines and streaming applications.

Apache Kafka is a distributed streaming platform that is used to build real-time data pipelines and streaming applications. It is horizontally scalable, fault-tolerant, and extremely fast. In this post, we will discuss how to use Apache Kafka in real-world scenarios.

Keyword ThreadGroup in Ruby

Keyword Queue in Ruby

Keyword Lazy in Ruby

This article explores the Command Query Responsibility Segregation (CQRS) pattern and how it can be used to design a system. CQRS separates the read and write operations of a data store into two separate components: the command side and the query side. This allows you to optimize the read and write operations independently and improve the performance, scalability, and consistency of the system.

MVCC (Multi-Version Concurrency Control) is a technique used in MySQL and PostgreSQL to manage concurrent access to the database. In this article, we will explore how MVCC works in MySQL and PostgreSQL and its benefits for developers and users.

MVCC (Multi-Version Concurrency Control) is a technique used in databases to manage concurrent access to the database. In this article, we will explore how MVCC works in databases like PostgreSQL and MySQL and its benefits for developers and users.

The BASE principle is a set of design principles that help developers create more scalable and available distributed systems. In this article, we will explore the concept of the BASE principle, its origins, and its applications in distributed systems.