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Data Ingestion

Data Ingestion Orchestration

Provide a unified process for consuming data from multiple sources. Enable efficient data loads while keeping data observability and lineage in mind.
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What are the key features of successful data ingestion process?

In today's data-driven world, businesses thrive on the insights gleaned from vast pools of information. However, the journey from raw data to actionable insights can take time and effort. At C&F we understand the importance of robust data ingestion processes. We build our solutions based on top market data ingestion standards, which are often open source and provide good flexibility and solid scalability features while not forgetting about security, compliance, and monitoring capabilities. Our data ingestion platforms aim to empower clients to effortlessly ingest and integrate data from a broad spectrum of data sources, including structured, semi-structured, or unstructured data from their source systems landscape.

Fast and cost effective data delivery

With cloud-based managed services and scalability, efficient data loading is ensured while adhering to budget constraints.

Better data observability

Having unified ingestion process helps to take better control of data loading and provide insight into data lineage.

Handling multiple load modes

Whether it is batch or near real time – effective data ingestion allows for both load modes to keep data most up to date.

Error handling and notifications

Robust data ingestion pipelines should support error handling capabilities and sending of notification events in case of pipeline failures.

C&F supports its clients in unifying their data ingestion processes by providing platforms that handle multiple data formats and workloads. Proven open-source industry standards and flexible cloud solutions are the foundation for robust data ingestion platforms. Data orchestration platforms should offer the best performance at a predictable cost. It is equally important to provide a clear, declarative way of creating and enhancing data ingestion processes. Our solutions are preceded by solid data analysis and result in improvement of data ingestion processes and data observability.

Overview

Data Ingestion is an essential step in data pipelines that involves collecting and loading data from various sources into a target system where it can then be cleaned, enriched, and used by data analysis tools. Our Data Ingestion Orchestration solutions are designed to help you effortlessly ingest data while prioritizing scalability, data security, and data governance. The aim is to prevent siloed data, enhance data management processes, and take better control of data loading. The data orchestration process involves moving data from multiple locations to a centralized repository, such as data warehouses. Effective data orchestration streamlines data workflows, eliminates data silos, and ensures data quality.

Experts in the field

Dariusz Król
Senior Solutions Architect
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Michał Majkowski
Principal Software Architect
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