5 use cases for streaming data pipelines
Eliminate the tedious and painful process of moving your company to a cloud-based infrastructure.
Real-Time Change Data Capture to replicate data from dozens of legacy tools to modern data stores.
real-time data streams
Incorporate streaming data such as Kafka and messaging systems.
data warehouse automation
Automating the design, implementation, and updates of data warehouse environments minimize the manual, error-prone scripting processes involved in data modeling, ETL generation, and workflows.
data lake ingestion and transformation
Automatically create and update data lake stores by instantly transforming enterprise data within them, then easily adapt to source and target changes.
Qlik data Integration
What is itQlik Data Integration creates robust data pipelines between applications. This solution is completely source and destination agnostic, covering a wide range of databases, data warehouses, and much more.
What it DoesQDI is a modernizing solution that accelerates deployments and significantly reduces infrastructure costs. The replication and automation of data can all be accomplished with no coding.
What it means-Implementation costs declined 80% vs. budge
-Project completed in 3 months vs 12
-Post-launch, the data team can implement changes monthly rather than twice a year
-Capture over 100 billion data changes monthly into an enterprise data lake
-Thousands of ETL lines of scripting were completed in 2 days
Simplify data integration with analytics-ready data delivery
- Designed from the ground up
- Real-time changed data capture
- Analytics-ready data delivery
- Efficient design resulting in faster delivery
- Seamlessly move real-time
data between heterogeneous systems
- Connect on-premise systems with Cloud
- Move data between Cloud providers
- One platform
- Initial instantiation
- Target table creation
- Automated mappings
- Data Warehouse, Data Mart
and Data Lake creation
- Catalog data assets
- Publish to BI and Data
- Relied on by more than
2,500 customers, including
half of the Fortune 100
- R&D scale to embrace ever changing tech landscape
- Deep expertise in data, data
integration, and analytics