![]() VISUAL PARADIGM USE CASE DIAGRAM TUTORIAL SOFTWAREConfluent offers a cloud-native foundational platform for real-time data streaming from multiple sources designed to be the “intelligent connective tissue” for software-driven backend operations that delivers rich front-end user functions.Ĭontextualization and clarification here is needed: This is complex software engineering and data science now brought towards the wider class of developers who may not have read Narkhede’s Kafka: The Definitive Guide every night with their bedtime cocoa. This is a point-and-click UI that is hoped to be something of an advancement toward making data streams accessible to developers beyond specialized Apache Kafka experts.Īpache Kafka is an open source distributed event streaming platform created by Confluent co-founder and CEO Jay Kreps and his colleagues Neha Narkhede and Jun Rao while the trio worked at LinkedIn. Designing data streamsĬonfluent offers a simple point-and-click user interface, but it’s not necessarily a point-and-click UI for you and your favorite auntie or uncle. As complex as data streaming engineering sounds, the team has now created Confluent Stream Designer, a visual interface that is said to enable software developers to build streaming data pipelines in minutes. What it doesn’t do is give us a lifejacket or help us navigate the stream.Ĭonfluent is a data streaming platform with a self-proclaimed mission to set data in motion. It might even get us into the canoe and offer us a paddle. Where this brief history of data movement gets us to is enough knowledge to know that the river is moving. SEE: Hiring Kit: Database engineer (TechRepublic Premium) A close cousin to the concept of computing events, where asynchronous log files are created for every keyboard stroke, mouse click or IoT sensor reading, data streaming oversees system activity related to areas where data flows are generally rich and large. Today we know that data flows to such an extent that we now talk about data streaming, but what is it and how do we harness this computing principle? What is data streaming?Ī key information paradigm for modern IT stacks, data streaming denotes and describes the movement of data through and between the above-referenced channels in a time-ordered sequence. But data obviously also moves between applications and operating systems, between application components, containers and microservices - and, in the always-on era of cloud and the web - between application programming interfaces. ![]() When data is in motion, it typically moves between applications and their dependent services. ![]() ![]() ![]() Even when data comes to rest, gets sent to backup and possibly finds itself in difficult-to-retrieve long-term storage retirement locations, data generally flows from one place to another during its lifetime. Today we know that data flows to such an extent that we now talk about data streaming, but what is it and how do we harness this computing principle? Image: Mark/Adobe Stockĭata flows. Current 2022: Confluent creates data pipeline lifeline ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |