Data Engineering on English AI Terms Dictionary

Streaming

Sat, 18 Jul 2026 10:16:56 +0000

Definition

Streaming refers to the continuous ingestion and processing of data in real-time or near-real-time as it is generated. Unlike batch processing, which handles fixed datasets, streaming systems manage unbounded data flows with limited memory constraints. This requires algorithms capable of incremental updates and approximate results. Common technologies include Apache Kafka and Flink. Streaming is critical for applications requiring immediate insights, such as fraud detection, live monitoring, and dynamic recommendation engines, ensuring low latency and high throughput in distributed environments.

LlamaIndex

Sat, 18 Jul 2026 10:05:29 +0000

Definition

Originally known as GPT Index, LlamaIndex is a powerful data framework that enables LLMs to ingest and interact with structured and unstructured data. It provides tools for indexing, querying, and managing data pipelines, making it easier to build applications that leverage private or domain-specific information. By integrating seamlessly with various vector databases and embedding models, LlamaIndex simplifies the implementation of Retrieval-Augmented Generation (RAG), allowing developers to create context-aware AI assistants with minimal boilerplate code.

Knowledge integration

Sat, 18 Jul 2026 10:03:55 +0000

Definition

Knowledge integration involves merging data from diverse origins, such as databases, ontologies, and unstructured text, into a coherent schema. It addresses issues of semantic heterogeneity and inconsistency to create a single source of truth. This unified view enables more robust inference and decision-making by leveraging complementary information across different domains and formats.

Summary

The process of combining heterogeneous knowledge sources into a unified, consistent representation for enhanced reasoning.

Key Concepts

Data fusion
Ontology alignment
Semantic interoperability
Schema mapping

Use Cases

Enterprise data warehousing
Multi-source medical diagnosis systems
Integrating IoT sensor data with historical records

Batch Processing

Sat, 18 Jul 2026 09:47:51 +0000

Definition

Batch processing involves aggregating data inputs into a group, or batch, before executing a computation or model inference. This approach contrasts with real-time streaming processing by allowing for higher throughput and better resource utilization through parallel execution. It is commonly used in offline training scenarios, historical data analysis, and scheduled tasks where immediate results are not required, optimizing hardware usage by maximizing GPU/TPU occupancy.

Summary

A computational method where data is collected over time and processed in groups rather than individually.

Data Engineering on English AI Terms Dictionary

Streaming

Definition

LlamaIndex

Definition

Knowledge integration

Definition

Summary

Key Concepts

Use Cases

Related Terms

Batch Processing

Definition

Summary