Data Integration Training in Belgrade

Pentaho Data Integration is a robust platform designed for creating enterprise-grade ETL and data pipelines.

This instructor-led, live training (available both online and on-site) is tailored for advanced-level engineers who aim to excel in developing high-performance, scalable, and highly automated PDI solutions.

After completing this course, participants will be able to:

• Design large-scale ETL pipelines with sophisticated orchestration.
• Optimize complex transformations for maximum performance.
• Implement scripting, automation, and hybrid integration techniques.
• Create robust, maintainable, and production-ready workflows.

Format of the Course

• Expert-led demonstrations and in-depth architectural discussions.
• Extensive hands-on lab work addressing advanced real-world ETL challenges.
• Practical development experience in a production-like environment.

Course Customization Options

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

Pentaho Data Integration is a platform for data extraction, transformation, and loading.

This training, led by an instructor and conducted either online or on-site, is designed for intermediate-level professionals who want to enhance their PDI skills for more complex transformation scenarios.

Upon completing this training, participants will be able to:

• Design multi-step transformations with enhanced performance.
• Work effectively with variables, parameters, and reusable components.
• Integrate PDI with databases, APIs, and external systems seamlessly.
• Apply best practices for creating maintainable and scalable ETL pipelines.

Format of the Course

• Interactive demonstrations and detailed explanations by the instructor.
• Guided exercises and scenario-based practice sessions.
• Hands-on work in a real-world ETL project environment.

Course Customization Options

• If you require a customized version of this course, please contact us to tailor it to your needs.

This instructor-led, live training in Belgrade (online or onsite) is aimed at 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 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.

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

In this instructor-led, live training, participants will learn how to leverage Pentaho Data Integration's robust ETL capabilities and user-friendly interface to manage the entire big data lifecycle within their organization, thereby maximizing the value of their data.

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

• Create, preview, and execute basic data transformations that include steps and hops
• Configure and secure the Pentaho Enterprise Repository
• Integrate disparate data sources into a single, unified format suitable for analytics.
• Deliver results to third-party applications for further processing

Audience

• Data Analysts
• ETL Developers

Format of the course

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

This instructor-led, live training in Belgrade (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.

This course is designed for software version 10.5, focusing on accelerating Data Engineering Integration. You will learn techniques for handling large data ingestions, incremental loading, transformations, complex file processing, dynamic mappings, and Python scripting. The course also covers how to reuse application logic for various Data Engineering scenarios while emphasizing monitoring, troubleshooting, and best practices.

Objectives

Upon successfully completing this course, students will be able to:

• Ingest large volumes of data into Hive and HDFS
• Conduct incremental loads within the mass ingestion process
• Perform both initial and incremental data loads
• Integrate with relational databases using SQOOP
• Execute transformations across multiple processing engines
• Run mappings using JDBC in Spark mode
• Carry out stateful computing and windowing operations
• Process complex file formats
• Parse hierarchical data using the Spark engine
• Conduct profiling and select sampling options on the Spark engine
• Execute dynamic mappings
• Create audits for mappings
• Monitor logs through the REST Operations Hub
• Use Log Aggregation to monitor logs and troubleshoot issues
• Run mappings in a Databricks environment
• Create mappings to access Delta Lake tables
• Optimize the performance of Spark and Databricks jobs

The KNIME Analytics Platform stands out as a premier open-source solution for data-driven innovation, enabling you to uncover the hidden potential within your data, extract fresh insights, or forecast new possibilities. With over 1,000 modules, numerous pre-built examples, a wide array of integrated tools, and an extensive selection of advanced algorithms, KNIME Analytics Platform serves as the ideal toolkit for any data scientist or business analyst.

This course on KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME experts alike. It introduces you to KNIME, helps you use it more effectively, and teaches you how to create clear and comprehensive reports based on KNIME workflows.

The "KNIME Analytical Platform" training offers a comprehensive overview of this free data analysis platform. The program covers data processing and analysis introduction, KNIME installation and configuration, building workflows, business model creation methodology, and data modeling. The course also discusses advanced data analysis tools, workflow import and export, tool integration, ETL processes, data exploration, visualization, extensions, and integrations with tools such as R, Java, Python, Gephi, Neo4j. The conclusion includes a discussion on reporting, BIRT integration, and the KNIME WebPortal.

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

In this instructor-led, live training, participants will learn how to fully utilize the features of Pentaho Open Source BI Suite Community Edition (CE).

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

• Install and configure Pentaho Open Source BI Suite Community Edition (CE)
• Grasp the core functionalities of Pentaho CE tools and their features
• Create reports using Pentaho CE
• Integrate external data sources into Pentaho CE
• Work with big data and analytics in Pentaho CE

Audience

• Programmers
• BI Developers

Format of the course

• The course combines lectures, discussions, practical exercises, and extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

Sensor Fusion involves the combination and integration of data from various sensors to provide a more accurate, reliable, and contextually rich view of the information.

The implementation of Sensor Fusion requires algorithms that can effectively filter and integrate data from different sources.

Audience

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

This instructor-led, live training in Belgrade (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.

This instructor-led, live training in Belgrade (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 Belgrade (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.

In this instructor-led, live training in Belgrade, 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.