IngKart - NextGen Ingestion Framework
Transform Your Data into Actionable Insights
Efficiently managing and processing data is critical for organizations to derive valuable insights and make informed decisions. Our NextGen Ingestion Framework Solution is designed to streamline the process of ingesting, transforming, and storing data from diverse sources, enabling you to unlock the full potential of your data assets.
What Sets us Apart
Streamline Data Ingestion
Our framework provides a comprehensive suite of tools and features to simplify the data ingestion process. It supports various data sources, including databases, file systems, APIs, and more. With our solution, you can effortlessly collect data from multiple sources and bring it into a data lake or data warehouse for further processing and analysis.
Flexible Data Transformation
Data often needs to be transformed and prepared before it can be used effectively. Our NextGen Ingestion Framework Solution offers powerful data transformation capabilities, allowing you to check, validate, enrich, and shape your data to meet your specific requirements. Whether you need to merge datasets, perform aggregations, apply complex business rules, or handle schema evolution, our framework provides a flexible and intuitive interface to define and execute data transformation workflows.
Real-time and Batch Processing
We understand that organizations deal with both real-time and batch data processing requirements. Our NextGen Ingestion Framework Solution seamlessly integrates with streaming platforms, enabling you to ingest and process data in real-time as it arrives. Additionally, it supports batch processing for larger datasets that require periodic ingestion and analysis. This flexibility empowers you to handle both real-time streaming data and historical data with ease, ensuring you have the right insights at the right time.
Data Quality
Maintaining data quality and ensuring data governance are crucial aspects of any data management solution. Our NextGen Ingestion Framework Solution offers built-in data validation and cleansing capabilities to identify and correct data quality issues. It also provides robust security and access controls, ensuring that sensitive data is protected, and access is granted only to authorized individuals. With our solution, you can establish and enforce data governance policies, ensuring compliance with regulatory requirements and maintaining data integrity.
Scalability and Performance
As your data volumes and processing requirements grow, scalability becomes vital. Our NextGen Ingestion Framework Solution is built to handle large-scale data ingestion and processing with ease. It leverages distributed computing technologies, such as Apache Spark, to ensure high performance and scalability, enabling you to process massive datasets efficiently.
Integration and Ecosystem Compatibility
We understand that organizations have diverse technology ecosystems. Our NextGen Ingestion Framework Solution is designed to seamlessly integrate with various data storage and processing platforms, such as data lakes, data warehouses and cloud storage providers and other tools. It supports industry-standard data formats and protocols, allowing you to leverage your existing infrastructure and tools while seamlessly incorporating our framework into your data architecture.
User-friendly Interface and Monitoring
Our NextGen Ingestion Framework Solution provides an intuitive and user-friendly interface that simplifies the management and monitoring of your data ingestion workflows. You can easily configure and monitor data ingestion pipelines, track the status of ongoing jobs, scheduled with tools and receive alerts for any potential issues or bottlenecks. The comprehensive monitoring and reporting capabilities enable you to gain insights into the performance and health of your data ingestion processes.
Product features
- NextGen Ingestion Framework for transforming, integrating and catch data issues quickly with data pipelines having tasks to transform data using following data engines Python, SQL and Spark.
- Effortlessly integrate, synchronize data and validate data to ensure the correctness of raw/transformed data with Low/No Code solution. Designed from the ground up specifically for running data-intensive tasks.
- Tasks are unit blocks to execute extract and load data ingestion, SQL transformation, spark transformations and data quality checks.
- A pipeline contains collection of tasks orchestrated for execution, like data sources, SQL, transformations on data frames and organizes the dependency between each task.
- Very friendly UI with great developer experience, saving time in developing tasks in data pipelines, with Drag n Drop to create tasks as DAGs in data pipelines. Build and deploy data pipelines to GitHub/Bitbucket. Save projects like a repository in GitHub/Bitbucket.
- Preview built-in for data sources, immediately see raw data or transformed data.
- Analyze and process tasks with large data quickly for rapid iteration. Tasks to transform very large datasets through a native integration with Spark. Transform very large datasets directly in your data warehouse or data lake using batch processing or native integration with Spark. Run hundreds of pipelines simultaneously.
- Deployed to Cloud or on-premise as server-less or as a container cluster.
Design Objectives
Easy developer experience
Framework that comes with a UI for building data pipelines.
Engineering best practices
Low Code/No Code solution to build and deploy data pipelines.
Data is a first-class citizen
Designed from the ground up specifically download and use minimal code to execute data intensive pipelines.
Scaling is made simple
Processes data-set larger than Memory.
Core Objectives
Programs and Projects
Programs oversee a group of related projects. Projects is collection of pipelines. Like a repository in GitHub. Where all the object configuration stored.
Pipelines
Defined as batch process, collection of tasks with dependency defined among task like a DAG (Directed Acyclic Graph).
Tasks
Block of code to Ingest, Data Quality Checks or Transform data via SQL or Code.
Connections
Collection attributed need to connect to Data source’s like Databases, REST APIs, Cloud or local or remote file storages.
contact us now
Unlock the true potential of your data with our NextGen Ingestion Framework Solution
Contact us today to learn more about how our solution can help you streamline your data ingestion, transformation, and processing workflows, empowering you to make data-driven decisions with confidence.