StreamSets Data Collector
It is a robust but lightweight tool for managing the data flows of an organization it is called StreamSets Data Collector. It helps you to be capable to ingest, transform and move data from one place to another for different data sources in real time. The tool is quite friendly and offers an easy-to-use interface for constructing data pipelines, and for data transformation, there are many connectors and processors available. In the case of StreamSets, the goal is to provide end-to-end visibility into data flows, guarantee data quality and continuously stream data into and through the pipeline.
Use Case:
Real-time data migration is among the most common solutions for utilizing StreamSets Data Collector. Companies require information to be transitioned from old applications and databases to more advanced ones while still functioning. By employing StreamSets, data can be effectively taken from legacy systems, transformed in the process to fit new systems and loaded without long interruptions.
Case Study:
A multinational logistics company recently employed StreamSets Data Collector for the purpose of transitioning to a more advanced method of data handling. It became vital to transfer data from their local databases to a data warehouse that resided in the cloud while making them readily accessible all the time. StreamSets was used to develop the pipeline and pipeline data was being extracted from on-premises databases, cleaned so that it fits the schema of the cloud data warehouse and loaded in real-time. Such above benefits enabled the company to achieve a successful migration of their data without affecting their normal functioning as they transition to the new data platform. The real-time data migration also empowered the company to adopt the exceptionally usual analytics and reporting facilities provided by the cloud-based data warehouse.
Top Data Ingestion Tools for 2024
To capture data for utilising the informational value in today’s environment, the ingestion of data is of high importance to organisations. Data ingestion tools are especially helpful in this process and are responsible for transferring data from origin to storage and/or processing environments. As enterprises deliver more diverse data, the importance of the right ingestion tools becomes even more pronounced.
This guide focuses on the top data ingestion tools 2024 detailing the features, components, and fit for organization applications to help organizations make the right choice for their data architecture plan.
Table of Content
- Apache NiFi
- Apache Kafka
- AWS Glue
- Google Cloud Dataflow
- Microsoft Azure Data Factory
- StreamSets Data Collector
- Talend Data Integration
- Informatica Intelligent Cloud Services
- Matillion ETL
- Snowflake Data Cloud
- MongoDB Atlas Data Lake
- Talend Data Integration
- Azure Synapse Analytics
- IBM DataStage
- Alteryx
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