Data Processing

Automate data workflows and accelerate insights with Data Processing 

Data Processing
Request Callback

Overview

Cloud Data Processing streamlines and automates your total workflows, allowing organisations to free themselves from time-consuming, labour-intensive processes. With an easy-to-use environment, you can easily build and keep data pipelines from multiple sources, leveraging built-in connectors to read, parse, enrich, and transform data according to your business needs.

The platform enables you to apply advanced business logic, automate routine tasks, and shape data for consumption and present it in the right format. Not only reducing operational overhead, but it also removes the risk of human error, allowing your teams to focus on analysis and innovation. Scalable and secure, Data Processing does everything from routine data integration to next-generation analytics and AI workloads. With end-to-end monitoring and governance features, your data is always secure and compliant at every stage—allowing your business to gain actionable insights and stay ahead of the competition in a data-driven world.

Pricing

To know more about the SKUs and pricing click below.

Core Features at a Glance 

Plug and Play
Easily integrate third-party tools via a web console and create pipelines with simple drag-and-drop functionality.
Superior Data Processing
Perform comprehensive data engineering operations with a highly configurable solution that adapt to evolving metrics and KPIs.
Run Pipelines
Initiate data flows with an integrated ‘Run' option.
Intuitive UI
Quickly locate category through a streamlined UI that simplifies job creation and execution within minutes.
Robust Error Handling
Detect and resolve pipeline errors automatically to ensure uninterrupted data processing.
Scalable Architecture
Scale processing capacity to accommodate growing data volumes and complex workloads.
Real-Time Monitoring
Track pipeline performance and data flow using integrated dashboards and alerts.

What You Get

Improved Productivity
Save time and effort by visualizing logs, data flows, and lineage in a single pane
No Code/Low Code
Leverage a unified batch and streaming engine with low-code orchestration for simplified data processing.
Bird’s Eye View
Gain complete visibility of your data, from ingestion to output, and monitor pipelines from initiation to execution.
Accelerated Insights
Generate faster and actionable insights with real-time or near-real-time data processing.

Still have questions?

Data processing involves collecting, manipulating, and transforming raw data into meaningful information. It uses a series of steps and techniques that convert data into a usable format for decision-making, analysis, or further computation.
Data processing includes the following steps:
Identifying datasets that add value to your analysis.  Cleansing data by removing errors, duplicates, and inconsistencies.  Transforming data into the desired format for analysis, such as normalizing numerical data or splitting data into training and test sets. 
Data Connectors are standardized components or interfaces that connect, extract, and sometimes load data from various sources into a processing or curation system. They serve as bridges between your system and external and internal data sources.
A job is a task that performs specific data-related actions such as:
Reading from a source Transforming data Writing to a destination Running machine learning models Validating or profiling data

System or users can schedule, trigger, or manually start jobs, which typically run in batch, micro-batch, or streaming modes.

A data pipeline automates the movement of data between systems by extracting, transforming, and loading it—commonly known as ETL or ELT.

Ready to Build Smarter Experiences?

Please provide the necessary information to receive additional assistance.
image
Captcha
By selecting ‘Submit', you authorise Jio Platforms Limited to store your contact details for further communication.
Submit
Cancel