You Need Data Now, Not Later
Modern analytics, data science, AI, machine learning…your analysts, data scientists and business innovators are ready to change the world. If you can’t deliver the data they need, faster and with confidence, they’ll find a way around you. (They probably already have.) That is why many companies are migrating data into cloud data lakes for more centralized access and control.
The challenge to the provisioning of continuous data is the unexpected, unannounced, and unending changes to data that constantly disrupt dataflow. That’s data drift, and it’s the reason why, sometimes when you go fast, things break. But when you take your time, you fall behind.
The StreamSets DataOps Advantage
StreamSets offers a powerful, yet simple DataOps Platform to speed data integration for data lakes using smart data pipelines for continous data ingestion and ETL pipelines that execute on Apache Spark.
How It Works
Rapid Data Ingestion
StreamSets Data Collector delivers the right data the right way into your data lake or data store. Drag-and-drop from a rich library of connectors and components in support of a variety of dataflow patterns for fast data ingestion:
- Streaming data ingestion
- Change data capture
- Bulk data loading
- Micro-batch integration
Operationalize and Scale Data Pipelines
StreamSets Control Hub gives you one place to monitor and manage all your pipelines, regardless of design pattern or where the workload is being executed. Sleep easy at night with end-to-end real-time dashboards into data flows across your enterprise, enforceable data performance SLAs, and security policies for your data in motion.