Apache Nifi and Kylo
Master enterprise data flow management with Apache Network Interface (NiFi) and Kylo under expert guidance. Enroll in our comprehensive training program tailored specifically for data engineers and architects seeking to build scalable data lake solutions and streamline complex data processing workflows.
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What you'll learn
- Build and manage data ingestion workflows using NiFi processors and connections
- Integrate Kylo with NiFi for enterprise metadata and feed management
- Apply best practices for optimizing Kylo and Hadoop performance in production
- Create and utilize NiFi templates, process groups, and expression language
- Develop data confidence feeds and implement SLAs for data quality assurance
- Install, configure, and navigate Apache NiFi architecture and components
- Implement data transformation and attribute extraction techniques effectively
Why should you attend?
This comprehensive training program provides hands-on experience with Apache Network Interface (NiFi) and Kylo, two powerful tools for building robust data lake architectures and managing enterprise data flows. Students begin by exploring data lake fundamentals and dive deep into Apache NiFi's architecture, including core components like FlowFiles, processors, connections, and process groups. The course covers essential NiFi operations from installation and configuration to building complex data ingestion and transformation workflows. The curriculum progresses through practical NiFi implementation, covering processor management, data ingestion techniques, attribute extraction, and data transformation capabilities. Students learn to leverage NiFi's expression language, work with templates, and organize workflows using process groups, ports, and funnels. The training then transitions to Kylo integration, exploring its architecture and role in managing NiFi templates and metadata. Advanced topics include building data ingestion feeds through Kylo, implementing data confidence measures and Service Level Agreements (SLAs), and performing data wrangling operations. Students gain practical experience with template import/export processes and learn industry best practices for optimizing both Kylo and Hadoop performance in enterprise environments.
Course Syllabus
Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
FAQs
Why should you attend?
This comprehensive training program provides hands-on experience with Apache Network Interface (NiFi) and Kylo, two powerful tools for building robust data lake architectures and managing enterprise data flows. Students begin by exploring data lake fundamentals and dive deep into Apache NiFi's architecture, including core components like FlowFiles, processors, connections, and process groups. The course covers essential NiFi operations from installation and configuration to building complex data ingestion and transformation workflows. The curriculum progresses through practical NiFi implementation, covering processor management, data ingestion techniques, attribute extraction, and data transformation capabilities. Students learn to leverage NiFi's expression language, work with templates, and organize workflows using process groups, ports, and funnels. The training then transitions to Kylo integration, exploring its architecture and role in managing NiFi templates and metadata. Advanced topics include building data ingestion feeds through Kylo, implementing data confidence measures and Service Level Agreements (SLAs), and performing data wrangling operations. Students gain practical experience with template import/export processes and learn industry best practices for optimizing both Kylo and Hadoop performance in enterprise environments.
What you'll learn
- Build and manage data ingestion workflows using NiFi processors and connections
- Integrate Kylo with NiFi for enterprise metadata and feed management
- Apply best practices for optimizing Kylo and Hadoop performance in production
- Create and utilize NiFi templates, process groups, and expression language
- Develop data confidence feeds and implement SLAs for data quality assurance
- Install, configure, and navigate Apache NiFi architecture and components
- Implement data transformation and attribute extraction techniques effectively
Course Syllabus
Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
FAQs
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