Follow Us on Social!
Kursangebot
- Garantietermine
- Neue Trainings
- Fast Lane LIVE E-Learning
- Digitale Lernlösungen
- Fast Lane Academy»
- Hack Academy
-
Fast Lane IT Workshops»
- IT-Training by Fast Lane
- Garantietermine
- Themen im Fokus
- Professional Services
- Trainingspakete
- Hersteller im Fokus
- Adobe»
- Amazon Web Services»
- Aruba»
- Cisco»
- Citrix»
- EC-Council»
- Google Cloud»
- (ISC)²»
- Microsoft»
- NetApp»
- Palo Alto Networks»
- Red Hat»
- VMware»
-
Weitere Hersteller»
- Apple
- Arista
- Autodesk
- Automation Anywhere
- Barracuda
- Brocade
- CertNexus
- Check Point
- Cloudera
- Commvault
- CompTIA
- CWNP
- Cydrill Software Security
- DataCore
- Dell EMC
- Extreme Networks
- F5
- Fortinet
- Gigamon
- Huawei
- IBM
- Infoblox
- Juniper
- Kaspersky Lab
- KnowBe4 Security Awareness
- Micro Focus
- Nutanix
- Oracle
- Paessler
- Pivotal / Spring
- Ruckus
- Salesforce
- SAP
- ServiceNow
- SoftwareONE Lizenzmanagement
- SonicWall
- Sophos
- Splunk
- SUSE
- Symantec
- TÜV (IT-Security)
- Veritas
- IT- & Projektmanagement»
- Atlassian»
- DevOps Institute»
- ITIL®»
- PRINCE2®»
- Scaled Agile»
- Scrum»
- Themen/Technologien im Fokus
- Artificial Intelligence (AI)»
- Business & Soft Skills»
- Cloud Computing»
- Cyber Security»
- Data Center»
- Kubernetes / Container»
- Linux»
- Network Analysis / Wireshark»
- Software Development»
- Wireless & Mobility»
IBM InfoSphere DataStage Essentials (v11.5) - SPVC
Zielgruppe
- Project Administrators and ETL Developers responsible for data extraction and transformation using DataStage
Voraussetzungen
- Basic knowledge of Windows operating system
- Familiarity with database access techniques
Produktbeschreibung
This course enables the project administrators and ETL developers to acquire the skills necessary to develop parallel jobs in DataStage. The emphasis is on developers. Only administrative functions that are relevant to DataStage developers are fully discussed. Students will learn to create parallel jobs that access sequential and relational data and combine and transform the data using functions and other job components.
Outline
1. Introduction to DataStage2. Deployment3. DataStage Administration4. Work with Metadata5. Create Parallel Jobs6. Access Sequential Data7. Partitioning and Collecting Algorithms8. Combine Data9. Group Processing Stages10. Transformer Stage11. Repository Functions12. Work with Relational Data13. Control Jobs
E-Learning IBM Self-Paced Virtual Class (SPVC)
Preis (exkl. MwSt.)
- 1.290,– €
Nutzungsdauer: 30 Tage
Aktivierungsfrist: 1 Jahr
