![]() ![]() Our solution fits perfectly with every organization’s data integration needs, irrespective of how big it is or the niche it is working in. It is much more than just data migration and allows you to extract the maximum value from a given piece of data. It also helps you to streamline your workflows and configure communications between components and systems. ![]() The platform does not deal only with data migration from one system to another. The platform is scalable and grows with your organization’s growing needs. ![]() Once the data is loaded into the warehouse, it can be transformed into a preferred format via SQL. With our data integration solutions, you can organize your data into standardized schemas and then load it into a warehouse. We have over 100 pre-built connectors that allow you to efficiently source your data from any marketing platform into a data warehouse of your preference. How is the DataChannel ETL platform considered best for Amazon AWS?ĭataChannel offers you a cloud-native SaaS platform that is easy to understand and helps you integrate your data from multiple channels into a warehouse in minutes and that too, without any coding. This will ensure that the tool will provide consistent integration with AWS and spare you from the trouble of starting from scratch every time you run an ETL job. Go for a tool that can efficiently create, configure, and run ETL jobs.The tool must have the capacity to read the source database’s schema, sort the data, and automate the process of query preparations to transform data into AWS data warehouse.When it comes to choosing a highly developed ETL tool for integration with AWS, here are two main considerations to take into accoun t: But the one thing for sure is that the tools help you get rid of the manual processes of hand-coding. Each tool offers similar features based on ease of use, replicability, time of to completion, and the data complexity it can manage. There are multiple tools that you can use to execute ETL with AWS. The process delivers an efficient data transformation, including data aggregating, sorting, filtering, cleansing, mapping, and enriching so that it becomes useful for the organization. This article will help you find the best ETL and data integration for AWS and what factors you should take into account while planning your AWS data integration strategy.ĭataChannel is the only platform that offers integration with the entire Amazon Suite ( Amazon DSP, Amazon Marketing Cloud (AMC), Amazon Ads, Amazon S3, Amazon Marketplace) ETL with AWSĮTL (Extract, Transform, Load) is one of the most common data integration processes that pulls data from multiple sources, transforms it into a suitable format, and then loads it into a target data warehouse. This is when the need for the best ETL tool comes into the picture. Companies who want to migrate to the AWS data integration platform find it challenging to manage the complexities of the integration process. The problem in using AWS standalone, however, lies in the ease of usability in the integration process. In today’s time, AWS has captured 40% of the total IaaS market around the world and serves its benefits to organizations working in different domains. With this solution at your end, you can invest in the right amount of compute resources, data storage, and networking from a hosting provider. In this data-driven business world, every piece of information when utilised properly or not enough can make or break your business, therefore, it becomes crucial to have a robust data infrastructure.Īmazon Web Services (AWS) is one of the most popular IaaS (infrastructure as a Service) solutions used by organizations to simplify their data architectures and reduce costs. The complexity of the data landscape increases with every additional data source and that is the very reason that businesses look for a data infrastructure that can grow with their changing requirements, processes, and regulations. ![]()
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