The Automated, No-Code Data Stack
Learn how Astera Data Stack can simplify and streamline your enterprise’s data management.
Accelerate AWS S3 Data Transfer with Astera
Amazon S3 data transfer offers scalability and flexibility that legacy storage systems usually do not offer.
It is ideal for storing large volumes of unstructured and structured data. It is also highly secure and durable, promises 99.999% availability, and can help businesses realize operational and cost efficiencies.
Amazon S3 is commonly used to create data lakes, implement legacy modernization initiatives, or with cloud or on-premises databases to form a next-gen enterprise data architecture. Its storage tiers ensure that a company can optimize its storage bill. While Amazon S3 is a great addition to any company’s technology stack, an organization can only leverage its true potential if it can work with the cloud platform in a hassle-free way. It should be easy to access data stored on the cloud storage, upload data on it, and integrate the cloud storage in a data pipeline without writing extensive codes. The code-free tool can make AWS S3 upload easier and more seamless.
Choosing the Right Tool for AWS
Various solutions allow data transfer on Amazon S3, but before choosing one, businesses should analyze what exactly their needs are. Amazon offers data transfer services such as AWS Glue, Amazon S3 Transfer Acceleration, and AWS Data Sync. However, Amazon solutions are compatible with Amazon products only.
Then there are third-party tools that offer similar capabilities and are compatible with other data sources and destinations. Astera Centerprise is one such code-free ETL tool. The product comes with a built-in connector for Amazon S3 along with native providers for various popular sources and destinations, so you can integrate Amazon S3 into your data architecture for S3 upload and other operations with simple drag and drop actions. Because of its no-code interface, the tool significantly cuts down development time by allowing users to build data pipelines on a logical level without any manual scripting and then orchestrate data movements to and from Amazon S3.
AWS S3 Upload with Astera Centerprise
Amazon S3’s scalability and cost efficiency as a storage platform make it ideal in a wide variety of use cases. A business usually uses AWS S3 to upload data when it wants to migrate its legacy systems or use cloud storage to support an OLTP database to store historical data.
In Astera Centerprise, you can move large data sets into Amazon S3 by just building a connection with the cloud browser in a few clicks, then configuring it for use in a data flow through the intuitive layout builder.
Creating a connection
Astera Centerprise’s user-friendly, intuitive interface takes away the complexity of AWS S3 upload. All you have to do is just drag and drop the cloud connection from the resources section and choose the cloud browser you want to connect to from the drop-down menu. With the visual file explorer, you can easily navigate through the files stored on the cloud storage and make new folders.
Astera toolbox has a host of various sources that you can use to upload different types of data on Amazon S3. Whether you want to upload an excel or a delimited file stored on-premises or transfer a file stored in a database to the cloud platform, all you have to do is drag and drop the source from the toolbox, and choose the file you want to upload.
If you are uploading an Excel file, choose an excel destination from the toolbox and just map it. Click on the destination properties to choose the folder you want to store your file in and give it a name.
Move data from Amazon AWS to a Database
Sometimes Amazon S3 is used as a storage layer for a database. Since Amazon S3 doesn’t come with a querying language, data has to be sent to a database for analysis
While Astera Centerprise facilitates AWS S3, you can also use it to orchestrate data from Amazon S3 to Amazon Redshift Database or Snowflake. Just make a connection with the cloud browser like mentioned above. Once you have done that, select the source and then browse the file you want to send to your database.
Once you have retrieved your file, map the source to destination and your data will be transferred to the database.
Astera Centerprise comes with an interesting feature that lets you choose files dynamically. So, if you want to send multiple files to the database you don’t have to repeat the same tasks.
way to perform complex integrations quickly
Automate AWS Data Transfer
It takes a lot of manual effort when you have to deal with a large volume of data. In such a situation, you can utilize Centerprise’s job scheduling features to automatically upload files and objects to and from Amazon S3.
The job scheduler comes with various triggers you can choose from. You can either choose its frequency according to time such as daily, once a week, etc., or you can choose the ‘when the file is dropped’ option and then specify the directory the tool should watch and it will trigger the task.
Meanwhile, the comprehensive workflow module allows you to orchestrate data upload and download from the cloud platform without any manual effort.
You can truly maximize the value you get from Amazon S3 by pairing the cloud platform with an effective data integration solution, such as Astera Centerprise. Centerprise’s intuitive interface and visual mapping make it easier to access and upload data on the cloud platform.
Integrate Amazon S3 in your data pipeline today with Astera Centerprise. Take our 14-day free trial to experience the Centerprise difference.
to Amazon S3
Authors:
Javeria Rahim
