Talend Data Integration Architecture & Functional Blocks
Updated on Nov 03, 2022 | 6 min read | 7.03K+ views
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Updated on Nov 03, 2022 | 6 min read | 7.03K+ views
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Talend is a unified architecture that meets the data integration and governance needs of modern businesses. This open-source platform is helping companies become more data-driven by turning data into valuable insights and aiding in real-time decision making.
Talend architecture simplifies and automates big data integration projects as its skeletal system facilitates structured data flows. To make optimum use of this software, you should have a complete understanding of its internal and functional architecture. So, let’s begin our learning mission!
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Talend is a vendor that provides multiple software and services for the following:
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Talend stands out as a leading solution for big data and cloud integration because of its rich features. We have listed some of them below:
Today, Talend occupies a leadership position in the integration space. Industry analysts like Gartner, Inc. have recognized it in its “Magic Quadrant for Data Integration Tools” report. And the above characteristics have convinced us that Talend is here to stay. Since entering the market in 2005, Talend has released several products to address varied business requirements. In the next section, we will look at some of these products.
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The Talend Product Suites contain three different kinds of products, namely Talend Enterprise, Talend Open Studio, and Talend Platforms. Let’s look at them one by one.
1. Talend Enterprise: The data integration is based on the Extract, Load, Transform or ELT architecture that can leverage both the target and the source. Talend Enterprise can connect to over 900 databases, files, and applications for the integration tasks. It also has the ability to support complex workflows, team-based collaboration, and remote deployment. Enterprise products are focused on enhancing productivity, which makes them a preferred choice for commercial use, especially among medium-sized businesses.
2. Talend Open Studio: It offers services like big data, data integration, data profiling, cloud integration, etc. It is a graphical user interface with over a thousand pre-built connectors. Open Studio is the best product to get started with Talend as it comes with almost all the data processing functions. It is a 360-degree solution based on the Extract, Transform, Load or ETL architecture.
3. Talend Platform: It helps in importing raw data from varied sources to the data warehouse, and further exporting it to different systems. Talend platforms can be used for linking multiple sources and aggregating the data from email marketing, CRM, and online transaction systems, optimizing the strategic decision-making process of the sales teams.
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Since Talend Open Studio is open-sourced and free to download, it has emerged as the most widely used product. Hence, we have explained it in more detail below.
In today’s big data ecosystem, Talend Open Studio or TOS has emerged as the go-to software tool for data integration. Now, let us dig into its architecture and explore the main components that constitute TOS.
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With this, we have given you a basic introduction about Talend, detailed how the talend architecture works, and also discussed its functional blocks. Talend products are touted as the next-generation tools that hold tremendous promise in the IT market, being chosen worldwide by companies of all sizes. Therefore, this in-demand architecture is recommended for anyone who wants to master IT technologies. The above information will surely help you begin your learning journey!
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Data integration involves the consolidation of data from different sources into a single set of data so that it offers a single combined view of all the data. It also aims to provide users with consistent delivery and access to data to fulfill the data needs of all business processes and applications. Data integration is a critical part of the overall process of data management. There are various data integration methods; each comes with its own features and capabilities to fulfill diverse requirements. The ultimate aim of data integration is to enable independent applications to function together seamlessly and provide consistent output.
ETL or Extract, Transform, Load is a type of data integration process that extracts data from different sources, transforms data into compatible formats, and loads it into a database to provide users with a unified, consistent data view. The process of ETL occurs before the data is stored in a data warehouse. So data integration is the overall process, and ETL is one of its types or methods. There are other methods of achieving data integration, like ELT (Extract, Load, Transform), data replication, data virtualization, streaming data integration, etc. However, ETL is one of the most popular methods and forms a critical step in supporting enterprise reporting and advanced enterprise analytics.
Talend is an open-source application used for data integration and comes loaded with different services and features to support data management and enterprise application integration. Informatica is a versatile and highly sought-after ETL tool ideal for organizing enterprise repositories. It is mainly used to facilitate commercial data integration, whereas Talend is suitable for both commercial and open-source data integration. Talend creates Java code that helps it execute on any platform that supports Java, while Informatica creates metadata stored in the RDBMS repository. Both Informatica and Talend are tremendously popular and offer support for Big Data too.
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Utkarsh Singh is a passionate program strategist and content specialist with a strong foundation in technology and education. A graduate of IIIT Delhi with a minor in Economics, he has over 5 years of...
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