Thorough review of contemporary integration of information tools and their uses
Keywords:
Data integration, ETL tools, ELT tools, data virtualizationAbstract
Perfect & efficient data integration is increasingly important in the fast-developing field of data-centric companies. Modern data integration solutions are designed to meet the difficulties presented by growing the data volumes, many sources & changing actual time analytics demands. Many data integration techniques—including ETL (Extract, Transform, Load) systems, data virtualization, cloud-based solutions & actual time data streaming technologies—are discussed in this article. This article clarifies the unique features, benefits & constraints of the main technologies like Apache Kafka, Talend, Informatica, Apache Nifi & Fivetran. Moreover, covered are data quality, security, scalability & integration issues. The need of selecting technology that fit certain organizational needs and procedures is underlined by this study. According to the study, flexibility, user-friendliness, and adaption to modern data formats define the degree of efficacy of data integration technology. Adopting modern data integration solutions not only meets a technical need but also strategically promotes business development and innovation.
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