Auckland, ANZ Centre

Level 33, ANZ Centre, 23-29 Albert Street, , Auckland, new zealand, 1010
The Regus Business Centre is located on the 33rd floor of the ANZ building which is one of Auckland's most recognisable landm...

Explore Our Courses

Talend Data Stewardship

14 Hours
This instructor-led, live training in Auckland (online or onsite) is aimed at beginner to intermediate-level data analysts who wish to deepen their understanding and skills in managing and improving data quality using Talend Data Stewardship. By the end of this training, participants will be able to:
  • Gain a comprehensive understanding of the role of data stewardship in maintaining data quality.
  • Use Talend Data Stewardship for managing data quality tasks.
  • Create, assign, and manage tasks within Talend Data Stewardship, including workflow customization.
  • Use the tool's reporting and monitoring capabilities to track data quality and stewardship efforts.
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Talend Administration Center (TAC)

14 Hours
This instructor-led, live training in Auckland (online or onsite) is aimed at system administrators, data scientists, and business analysts who wish to set up Talend Administration Center to deploy and manage the organization's roles and tasks. By the end of this training, participants will be able to:
  • 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.
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Talend Big Data Integration

28 Hours
This instructor-led, live training in Auckland (online or onsite) is aimed at technical persons who wish to deploy Talend Open Studio for Big Data to simplifying the process of reading and crunching through Big Data. By the end of this training, participants will be able to:
  • 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.
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Talend Cloud

7 Hours
This instructor-led, live training in Auckland (online or onsite) is aimed at data administrators and developers who wish to manage, monitor, and operate data integration processes using Talend Cloud services. By the end of this training, participants will be able to:
  • 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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Talend Open Studio for ESB

21 Hours
In this instructor-led, live training in Auckland, participants will learn how to use Talend Open Studio for ESB to create, connect, mediate and manage services and their interactions. By the end of this training, participants will be able to
  • 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.
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Testimonials (1)

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

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