Key Takeaways from 2024

Learn how AI is transforming document processing and delivering near-instant ROI to enterprises across various sectors.

Access Trial2024-09-19T09:20:05+00:00

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Select the solution that best caters to your use case and with just a few steps, get instant access to Astera's Virtual Environment.

Multiple Solutions

Access a free trial of the Astera solution of your choice. Take the first step to creating a self-sustaining data ecosystem using Astera's unified, zero-code platform.

Create and maintain automated data pipelines that provide accurate and timely data.

Access data from a variety of file sources and database providers.

Access a vast library of 50-plus connectors, enabling seamless integration with various data sources and destinations.

Perform a variety of ETL/ELT operations on data as it moves through the dataflow pipeline.

Load your trusted data to your destinations of choice.

Design dataflows and schedule them for automated and repeated execution.

Process a wide variety of file formats including PDF, text, RTF, and PRN.

Ingest data from a variety of file sources, including email, cloud drives, web services, FTP/SFTP, and more.

Autogenerate an extraction template to capture valuable information from unstructured files.

Use the Data Prep feature to cleanse, transform, and validate the extracted data with point-and-click navigation.

Use this data in automated workflows and export it to your desired destinations, whether they be databases, BI tools, or even ERP/CRM systems.

Run the extraction jobs at specific times, or whenever a document is added to a selected source location.

Ingest data from disparate sources, including databases and unstructured data files, and bring them together for a single source of truth.

Create a data model from scratch or generate a data model for an existing database using the reverse engineer option.

Create and edit entity relationships using a simple point-and-click interface.

Automate the data vault modeling process and create Hubs, Links, and Satellites for every underlying entity.

Assign an entity type to each general entity in a data model to turn it into a dimensional model.

Check and verify if data present in dimension and fact tables is valid or “good”.

Build custom APIs easily, using the drag-and-drop interface.

Enter your request and response parameters to create a flow that’s tailored perfectly to your business needs.

Preview the data flow at every step to make sure your APIs are running smoothly.

Test your APIs in every stage of the API lifecycle to ensure that all necessary requirements are met, and all operations are running smoothly.

Deploy your APIs in seconds in the cloud, on-premises, or hybrid with a single click.

Access a unified view of your APIs so they can be controlled and operated from a centralized wizard.

Build an EDI transaction and validate it against standard and custom validation rules to meet your company’s specific requirements.

Organize and interpret the structured data within EDI documents.

Create detailed trade partner profiles with unique data mapping requirements and custom transaction sets for seamless data exchange with specific trading partners.

Automate EDI processes by defining workflows and automatically generating technical and functional acknowledgments upon receiving an EDI message.

Access a library of built-in transformations to cleanse and integrate EDI data.

Use data preview features to review and validate mappings before finalizing EDI transactions.

Frequently ASKED QUESTIONs

Can I use my personal email to register for the VM trial?

You must register using your company email. This requirement ensures that the trial is accessed by professionals within relevant industries and helps maintain security and compliance standards throughout the trial period.

You can sign up for each tool’s trial individually, but each registration grants access to only one VM per tool. If you wish to explore multiple tools, you will need to register separately for each one.

Yes, we offer the option to extend your trial period if you require additional time to evaluate the tool. Please reach out to our support team, and they will assist you in extending your trial based on your needs.

Absolutely, your progress is automatically saved when you log out of the VM. You can resume your work from where you left off whenever you log back in.

No prior knowledge is required to effectively follow the lab guide. It is designed to be accessible to users of all experience levels, providing clear instructions and guidance throughout the process.

Yes, the limit on the number of concurrent jobs on a server depends on the license you have purchased.

A workflow is the visual illustration of an integration process for automated and iterative execution. It is a process orchestrated to run a sequence of tasks such as running a program, sending an e-mail, executing some SQL query, etc. The tasks are executed according to a pre-defined sequence, following a custom logic which decides what path must be activated under what conditions.

You can also specify what should happen at each step if a task runs successfully or returns an error in a workflow. You can also route the workflow by using a Boolean condition suitable to your scenario. You can even nest another workflow or a dataflow within your workflow.

Once designed, a workflow can be deployed on the server and scheduled to run automatically as per the specified time and frequency.

A Single Instance Data Region is used when the relationship between two regions is a one-to-one relationship. For example, in a dataset of orders, an order can only be placed by one customer. Therefore, we will use Single Instance Data Region to extract details of the customer from the data source.

A Collection Data Region is used when the relationship between two regions is a one-to-many relationship. For example, in a dataset of orders, there can be multiple items in one order. Therefore, we will use Collection Data Region to extract details of the items ordered.

You can preview ‘x’ records by specifying the number in the Source Record Count option present in the Data Preview window. If you want to preview the entire dataset, set the Source Record Count value to zero.

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CASE STUDIES

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