{"id":4816,"date":"2023-04-06T13:36:36","date_gmt":"2023-04-06T12:36:36","guid":{"rendered":"https:\/\/www.architecturemaker.com\/?p=4816"},"modified":"2023-04-06T13:36:36","modified_gmt":"2023-04-06T12:36:36","slug":"what-is-streaming-architecture","status":"publish","type":"post","link":"https:\/\/www.architecturemaker.com\/what-is-streaming-architecture\/","title":{"rendered":"What is streaming architecture?"},"content":{"rendered":"

Streaming architecture is a data processing architecture that supports low-latency processing of data streams. In a streaming architecture, data is processed as it is generated, typically in real-time. This type of architecture is also referred to as stream processing or event processing.<\/p>\n

A streaming architecture is a type of data processing architecture in which data is processed as a continuous stream, rather than in batch mode.<\/p>\n

What is meant by stream architecture? <\/h2>\n

A modern data streaming architecture can help you quickly ingest, process, and analyze high volumes of data from a variety of sources in real-time. This can allow you to build more reactive and intelligent customer experiences.<\/p>\n

This type of architecture is known as a Lambda architecture. It is a data-processing architecture designed to handle massive quantities of data by using a combination of batch- and stream-processing methods.<\/p>\n

What is data architecture for streaming data <\/h3>\n
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A Streaming Data Architecture typically contains the following software components: <\/p>\n

-Data Ingestion: This component ingests streaming data from various sources.
\n-Data Processing: This component processes the data right after it is collected.
\n-Data Storage: This component stores the processed data for future use.
\n-Data Analytics: This component performs analytics on the processed data to generate insights.
\n-Data Visualization: This component visualizes the data insights in an easily understandable format.<\/p>\n

Streaming data is a type of data that is constantly being generated, typically by sensors or devices. This data can be used to monitor and understand real-time conditions or trends. Common applications for streaming data include social media, logistics, financial markets, and IoT.<\/p>\n

What are some advantages of streaming architecture? <\/h2>\n

A modern streaming architecture can bring many benefits to an organization, including the elimination of the need for large data engineering projects, high availability, and built-in fault tolerance. Newer platforms are typically cloud-based and can be deployed quickly with no upfront investment. This can provide organizations with increased flexibility and support for multiple use cases.<\/p>\n

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Kafka Streams is a great way to process data from an Apache Kafka® cluster. It is easy to use and deploy, and has the benefits of Kafka’s server-side cluster technology.<\/p>\n

What architecture does Netflix use? <\/h2>\n

Microservices architecture has become popular in recent years as a way to build cloud-based applications. Netflix has chosen Microservices architecture for their system to manage running both the heavy and lightweight workloads on the same infrastructure. Microservices architecture has small manageable software components on the API level, which enables and serves requests from apps and websites. This architecture provides Netflix with great flexibility and scalability.<\/p>\n

A stream’s flow is controlled by the combination of three main inputs: surface runoff from precipitation or melting snow, daylighted subterranean water, andspring water from underground aquifers. The proportion of each input varies depending on the overall conditions of the watershed. For example, during a drought spell when precipitation is low, groundwater and subterranean water sources may provide a greater proportion of a stream’s flow.<\/p>\n

What are the three components of streaming technology <\/h3>\n

Live streaming requires three basic components: the encoder, the server, and the player.<\/p>\n

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The encoder is responsible for converting video into a format streamed over the internet. The server is what distributes the content to viewers around the world. And the player is the software that viewers use to watch the stream.<\/p>\n

Data architecture is a critical aspect of any data management strategy. It sets the blueprint for how data is collected, processed, and distributed. Data architecture is also foundational to data processing operations and artificial intelligence (AI) applications. In short, data architecture describes how data is managed from collection through to transformation, distribution, and consumption.