8 रिपॉजिटरी
Techniques for extracting, filtering, and aggregating data from relational tables using SQL.
Distinguishing note: None of the candidates focus on the general educational practice of writing retrieval queries; they focus on loaders or distributed engines.
Explore 8 awesome GitHub repositories matching data & databases · SQL Data Retrieval. Refine with filters or upvote what's useful.
DataX is a distributed data integration framework and plugin-based ETL tool designed for synchronizing large datasets between heterogeneous sources and destinations. It functions as a JDBC data migration engine and offline synchronization tool, enabling the movement of data between relational databases, NoSQL stores, and object storage. The system utilizes a plugin-based connector architecture that decouples reader and writer logic, allowing it to map and transform data types across different storage engines using a standardized internal representation. This design supports heterogeneous data
Implements techniques for filtering and extracting specific data from relational tables using SQL WHERE clauses.
RisingWave is a cloud-native streaming database and real-time analytics engine that uses standard SQL to process continuous data streams. It functions as a streaming data lakehouse, combining the capabilities of a streaming SQL database with a platform that integrates streaming ingestion with open table formats. The system is distinguished by its use of the PostgreSQL wire protocol, allowing it to integrate with existing SQL tools and drivers. It employs a decoupled compute and storage architecture, persisting streaming state and materialized views in cloud object storage to enable independen
Queries real-time data directly using a built-in serving layer and standard SQL.
hello-sql is a collection of educational resources and practical guides designed for mastering relational database design, SQL query writing, and schema mapping. It provides a set of lessons and exercises for practicing the creation and manipulation of data within relational databases. The project includes a database schema workbook for designing tables and mapping relationships, alongside a dedicated SQL query guide for writing selection, filtering, and aggregation statements. These resources are delivered through a relational database tutorial and a broader SQL learning resource. The mater
Provides guides on writing queries to extract and aggregate specific information from relational tables.
Connect is a Kafka data integration platform and stream processing engine used to build declarative pipelines that move and transform messages between Kafka topics and external sources. It functions as a Kafka Connect framework and a change data capture tool, streaming real-time database modifications to synchronize data across distributed environments. The project differentiates itself through a dedicated mapping language for mutating and reshaping message payloads and the ability to execute custom processing logic within a sandboxed WebAssembly runtime. It also provides an observability pip
Extracts, filters, and aggregates data from relational tables using standard SQL query language.
This project provides a SQL interface for Elasticsearch, serving as a translator and database layer that allows users to retrieve, filter, and manipulate indices using structured query language. It functions by converting standard SQL statements into the native JSON query language used by the search engine. The system includes a geospatial SQL engine for executing location-based searches and distance calculations. It also features a query debugger used to visualize the translation process from SQL to search engine request bodies to verify the logic and accuracy of data retrieval. The capabil
Provides the ability to retrieve, filter, sort, and group data from indices using standard SQL syntax.
Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
Exposes a tabular data model for retrieving and analyzing information using standard SQL syntax.
Trailbase is a backend-as-a-service platform delivered as a single executable that integrates a realtime database engine, an identity and access manager, and a type-safe API generator. It provides a comprehensive backend environment including a SQLite-backed storage engine and a WebAssembly runtime server for executing custom logic. The platform distinguishes itself by automatically transforming database schemas into JSON APIs with cross-language client bindings and by allowing the execution of portable components for server-side rendering and custom HTTP routes. It further incorporates vecto
Allows direct execution of SQL queries for complex data modeling and retrieval.
Biopython पायथन के लिए एक बायोइनफॉरमैटिक्स लाइब्रेरी है जो जैविक अनुक्रमों, आणविक संरचनाओं और फाइलोजेनेटिक पेड़ों को पार्स, मैनिपुलेट और विश्लेषण करने के लिए टूल्स प्रदान करती है। यह कई उद्योग-मानक फ़ाइल फॉर्मेट्स में जीनोमिक और प्रोटिओमिक डेटा के लिए एक जैविक अनुक्रम पार्सर के रूप में कार्य करती है और NCBI Entrez रिपॉजिटरी से जैविक डेटा और उद्धरणों को क्वेरी करने के लिए एक इंटरफेस के रूप में कार्य करती है। यह प्रोजेक्ट प्रोटीन संरचना विश्लेषण और फाइलोजेनेटिक ट्री निर्माण के लिए विशेष टूलकिट्स के माध्यम से खुद को अलग करता है। इसमें आणविक ज्यामिति की गणना करने के लिए PDB और mmCIF फ़ाइलों को प्रोसेस करने के लिए एक प्रोटीन संरचना एनालाइज़र, और प्रजातियों के बीच विकासवादी संबंधों का विश्लेषण करने के लिए एक फाइलोजेनेटिक ट्री टूलकिट शामिल है। यह लाइब्रेरी बायोइनफॉरमैटिक्स क्षमताओं की एक विस्तृत श्रृंखला को कवर करती है, जिसमें ट्रांसक्रिप्शन और अनुवाद के लिए जीनोमिक अनुक्रम विश्लेषण, अनुक्रम संरेखण का प्रबंधन और जनसंख्या आनुवंशिक गणना शामिल है। यह 3D परमाणु समन्वय हेरफेर के लिए संरचनात्मक विश्लेषण टूल्स, साथ ही जीनोमिक फीचर विज़ुअलाइज़ेशन और जैव-भौगोलिक डेटा मॉडलिंग के लिए यूटिलिटीज भी प्रदान करती है। यह सिस्टम टूल रैपिंग के माध्यम से बाहरी बायोइनफॉरमैटिक्स बाइनरीज के साथ एकीकृत होता है और SQL-समर्थित अनुक्रम भंडारण के माध्यम से निरंतर जैविक रिकॉर्ड भंडारण का समर्थन करता है।
Extracts biological records from relational databases on demand as sequence record objects.