How can we do big data automation in uipath

Help Activities
,
1

Wanna perform operations as we perform on SQL.
but in my use case, I need to work with big data automation.

Any resources are worthy.

thanks & Regards
Suraj

2

Automating big data processes with UiPath can be achieved by integrating UiPath with big data technologies and leveraging UiPath’s capabilities for workflow automation, data manipulation, and integration. Here’s a high-level overview of the steps you can take to automate big data tasks with UiPath:

  1. Data Extraction:
  • Connect to Big Data Sources: UiPath supports various data connectors and APIs, so you can connect to big data sources such as Hadoop, Spark, databases like HBase or Hive, or cloud-based solutions like Amazon S3, Azure Data Lake Storage, or Google BigQuery.
  • Extract Data: Use UiPath to extract data from these sources. You can use activities like “Read Range” for structured data, or custom code and scripts to interact with unstructured or semi-structured data.
  1. Data Transformation:
  • Data Cleansing and Transformation: Apply data cleansing and transformation activities to prepare the data for analysis. UiPath provides a wide range of activities for data manipulation, including filtering, sorting, and aggregating data.
  1. Data Analysis:
  • Integration with Big Data Tools: If your big data processing requires the use of specialized tools and libraries, you can use custom code activities or invoke external scripts from UiPath to perform analytics using tools like Apache Spark or Hadoop MapReduce.
  1. Data Loading:
  • Store or Load Data: After processing the data, use UiPath to store the results back in your big data repository or load the transformed data into the desired destination, such as a database, data warehouse, or cloud storage.
  1. Schedule and Monitoring:
  • Schedule Automation: If your big data automation tasks need to run on a regular basis, schedule your UiPath workflows to execute at predefined intervals using Orchestrator, UiPath’s automation scheduling and management tool.
  • Monitoring and Error Handling: Implement error handling and logging mechanisms within your automation to monitor the progress and detect issues during data processing.
  1. Security and Compliance:
  • Ensure Data Security: When dealing with sensitive or private data, ensure that your UiPath automation adheres to data security and compliance standards. Utilize security features and encryption methods to protect data in transit and at rest.
  1. Reporting and Visualization:
  • Generate Reports: Use UiPath to generate reports and dashboards from the processed big data, or integrate UiPath with other reporting and visualization tools to present the results in a user-friendly format.
  1. Scaling and Optimization:
  • Scalability: As your big data automation processes grow, consider using UiPath Orchestrator for managing and scaling your automation infrastructure.
  • Performance Optimization: Continuously optimize your automation workflows to improve performance and efficiency.

It’s important to note that while UiPath can automate various aspects of big data processing, for more complex or specialized tasks, you may need to integrate with other big data technologies and use custom code. The level of integration and complexity will depend on your specific big data automation requirements.

3

Hi @suraj.l

Can You explain what is the big data is it excel

4

Basically, I need to perform big data queries as I do with SQL activity.

5

@suraj.l ,can use LinQ quries and also by .Net through Invoke code we can perform!!

6

@suraj.l yes we can perform by using linq queries

7

is there any other way to excluding linq query

9

@hope i think no… through .net we can invoke here

10

If possible share xaml file

11

@suraj.l
share and sample input nd output so that can create flow with linQ