
Online or onsite, instructor-led live Data Integration training courses demonstrate through interactive hands-on practice the fundamentals and advanced concepts of Data Integration.
Data Integration training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Data Integration trainings in Ireland can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course: KNIME Analytics Platform for BI
All the examples of sensor fusion systems on the market.
Denise Bernier-Pineault, Defence Research and Development Canada
Course: Sensor Fusion Algorithms
It's a hands-on session.
Vorraluck Sarechuer - Total Access Communication Public Company Limited (dtac)
Course: Talend Open Studio for ESB
wiedza, wzorcowe prowadzenie szkolenia
Krzysztof Kantorski - Sebastian Kotulski, Santander
Course: Oracle GoldenGate
Tempo zajęć, pilnowanie czasu dobry kontakt z prowadzącym
Sebastian Kotulski, Santander
Course: Oracle GoldenGate
Data Integration Subcategories in Ireland
Data Integration Course Outlines in Ireland
- Install and configure Oracle GoldenGate.
- Understand Oracle databases replication using the Oracle GoldenGate tool.
- Understand the Oracle GoldenGate architecture.
- Configure and perform a database replication and migration.
- Optimize Oracle GoldenGate performance and troubleshoot issues.
- Create, preview, and run basic data transformations containing steps and hops
- Configure and secure the Pentaho Enterprise Repository
- Harness disparate sources of data and generate a single, unified version of the truth in an analytics-ready format.
- Provide results to third-part applications for further processing
- Data Analyst
- ETL developers
- Part lecture, part discussion, exercises and heavy hands-on practice
- Install and configure Pentaho Open Source BI Suite Community Edition (CE)
- Understand the fundamentals of Pentaho CE tools and their features
- Build reports using Pentaho CE
- Integrate third party data into Pentaho CE
- Work with big data and analytics in Pentaho CE
- Programmers
- BI Developers
- Part lecture, part discussion, exercises and heavy hands-on practice
- To request a customized training for this course, please contact us to arrange.
- Integrate, enhance and deliver ESB technologies as single packages in a variety of deployment environments.
- Understand and utilize Talend Open Studio's most used components.
- Integrate any application, database, API, or Web services.
- Seamlessly integrate heterogeneous systems and applications.
- Embed existing Java code libraries to extend projects.
- Leverage community components and code to extend projects.
- Rapidly integrate systems, applications and data sources within a drag-and-drop Eclipse environment.
- Reduce development time and maintenance costs by generating optimized, reusable code.
- Install and configure Talend Open Studio for Big Data.
- Connect with Big Data systems such as Cloudera, HortonWorks, MapR, Amazon EMR and Apache.
- Understand and set up Open Studio's big data components and connectors.
- Configure parameters to automatically generate MapReduce code.
- Use Open Studio's drag-and-drop interface to run Hadoop jobs.
- Prototype big data pipelines.
- Automate big data integration projects.
- Install and configure Talend Administration Center.
- Understand and implement Talend management fundamentals.
- Build, deploy, and run business projects or tasks in Talend.
- Monitor the security of datasets and develop business routines based on the TAC framework.
- Obtain a broader comprehension of big data applications.
- Navigate the Talend Management Console to manage users and roles in the platform.
- Evaluate data to find and understand relevant datasets.
- Create a pipeline to process and monitor data at rest or in action.
- Prepare data for analysis to generate insights relevant to the business.
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