Pentaho Data Integration Intermediate Training Course

KNIME Analytics Platform stands as a premier open-source solution for driving data-centric innovation, empowering you to uncover hidden potential within your data, extract fresh insights, or forecast future trends. With over 1000 modules, numerous ready-to-use examples, a broad suite of integrated tools, and an extensive selection of advanced algorithms, KNIME Analytics Platform serves as the ideal toolkit for data scientists and business analysts alike.

This course on KNIME Analytics Platform offers a valuable opportunity for beginners, advanced users, and KNIME specialists to become familiar with the platform, enhance their proficiency, and learn how to generate clear, comprehensive reports using KNIME workflows.

The 'KNIME Analytics Platform' course offers a comprehensive overview of this free data analysis platform. The program includes an introduction to data processing and analysis, installation and configuration of KNIME, workflow building, methodologies for creating business models and data modeling. The course also covers advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualization, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The conclusion includes a discussion on reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led live training in Turkey (available online or onsite) targets sysadmins and developers who wish to set up, deploy, and manage Oracle GoldenGate for data transformation.

By the end of this training, participants will be able to:

• Install and configure Oracle GoldenGate.
• Understand Oracle database replication using the Oracle GoldenGate tool.
• Understand the Oracle GoldenGate architecture.
• Configure and perform database replication and migration.
• Optimize Oracle GoldenGate performance and troubleshoot issues.

Pentaho Open Source BI Suite Community Edition (CE) is a comprehensive business intelligence package offering capabilities for data integration, reporting, dashboards, and data loading.

Through this instructor-led live training, participants will gain the skills needed to fully leverage the features of Pentaho Open Source BI Suite Community Edition (CE).

Upon completion of this course, participants will be able to:

• Install and configure Pentaho Open Source BI Suite Community Edition (CE)
• Grasp the core principles and functionalities of Pentaho CE tools
• Create reports utilizing Pentaho CE
• Integrate third-party data sources with Pentaho CE
• Manage big data and analytics within Pentaho CE

Target Audience

• Programmers
• BI Developers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• For customized training arrangements, please get in touch with us.

Pentaho Data Integration is an open-source tool designed for data integration, enabling users to define jobs and data transformations.

During this instructor-led live training, participants will master the powerful ETL capabilities and intuitive GUI of Pentaho Data Integration. This knowledge empowers them to manage the entire big data lifecycle and maximize the value of data across their organization.

Upon completion of this training, participants will be able to:

• Create, preview, and execute basic data transformations comprising steps and hops
• Configure and secure the Pentaho Enterprise Repository
• Consolidate disparate data sources into a single, unified version of the truth in an analytics-ready format.
• Deliver results to third-party applications for further processing

Audience

• Data Analyst
• ETL developers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Pentaho Data Integration serves as a robust platform for creating enterprise-grade ETL processes and data pipelines.

This instructor-led live training, available online or onsite, is designed for advanced engineers aiming to master high-performance, enterprise-scale, and highly automated PDI solutions.

Upon completion of this course, participants will be capable of:

• Architecting large-scale ETL pipelines with advanced orchestration capabilities.
• Optimizing complex transformations to ensure peak performance.
• Implementing scripting, automation, and hybrid integration patterns.
• Designing robust, maintainable, and production-ready workflows.

Course Format

• Expert-led demonstrations and architectural discussions.
• Extensive laboratory exercises addressing advanced real-world ETL challenges.
• Hands-on development within a production-like environment.

Course Customization Options

• Please contact us if you require a customized version of this training.

Sensor Fusion involves merging and integrating data from various sensors to deliver a more precise, dependable, and context-rich perspective.

Implementing Sensor Fusion necessitates algorithms that filter and consolidate these diverse data sources.

Audience

This course is designed for engineers, programmers, and architects working with multi-sensor systems.

This instructor-led live training in Turkey (online or onsite) targets system administrators, data scientists, and business analysts who intend to set up Talend Administration Center to deploy and manage organizational 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.

This instructor-led, live training in Turkey (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.

This instructor-led live training in Turkey (online or onsite) targets 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.

This instructor-led, live training in Turkey (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.

In this instructor-led, live training in Turkey, 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 unified packages across various deployment environments.
• Understand and leverage the most frequently used components of Talend Open Studio.
• Integrate any application, database, API, or web services.
• Seamlessly integrate heterogeneous systems and applications.
• Embed existing Java code libraries to extend project capabilities.
• 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.