Pentaho Data Integration Intermediate Training Course

This course is designed for software engineers working with version 10.5. It equips learners with the skills to accelerate Data Engineering Integration through large-scale data ingestion, incremental loading, transformations, complex file processing, dynamic mappings, and Python scripting. The curriculum explores strategies for reusing application logic in Data Engineering contexts, alongside essential monitoring, troubleshooting techniques, and industry best practices.

Learning Objectives

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

• Ingest large volumes of data into Hive and HDFS
• Execute incremental loads within Mass Ingestion frameworks
• Conduct both initial and incremental data loads
• Integrate with relational databases using SQOOP
• Implement transformations across multiple processing engines
• Execute mappings using JDBC in Spark mode
• Perform stateful computing and apply windowing functions
• Process complex file formats
• Parse hierarchical data structures using the Spark engine
• Run profiles and select sampling options on the Spark engine
• Execute Dynamic Mappings
• Establish audits on mappings
• Monitor logs via the REST Operations Hub
• Monitor logs using Log Aggregation and troubleshoot issues
• Run mappings within a Databricks environment
• Create mappings to access Delta Lake tables
• Optimize the performance of Spark and Databricks jobs

KNIME Analytics Platform stands as a premier open-source solution for driving data-centric innovation. It empowers you to uncover the latent potential within your data, extract fresh insights, or forecast future trends. Boasting over 1,000 modules, numerous pre-configured examples, a wide array of integrated tools, and the most extensive selection of advanced algorithms, KNIME Analytics Platform serves as the ultimate toolkit for data scientists and business analysts alike.

This course on KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME specialists to familiarize themselves with KNIME, enhance their proficiency in using the platform, and learn how to develop clear, comprehensive reports leveraging KNIME workflows.

The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analysis platform. The program includes an introduction to data processing and analysis, KNIME installation and configuration, building workflows, methodology 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 discussions on reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led live training, held at India (online or onsite), is designed for system administrators and developers who aim to set up, deploy, and manage Oracle GoldenGate for data transformation purposes.

By the conclusion 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 a database replication and migration.
• Optimize Oracle GoldenGate performance and troubleshoot issues.

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

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

Upon completing this training, participants will be equipped to:

• Install and configure the Pentaho Open Source BI Suite Community Edition (CE)
• Grasp the core concepts of Pentaho CE tools and their functionalities
• Create reports using Pentaho CE
• Integrate third-party data sources with Pentaho CE
• Handle big data and analytics tasks 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 requests, please reach out to us to make arrangements.

Pentaho Data Integration serves as an open-source solution for orchestrating jobs and data transformations.

This instructor-led live training equips participants with the knowledge to leverage Pentaho Data Integration's robust ETL capabilities and intuitive GUI to oversee the complete big data lifecycle, thereby maximizing the value of data within their organisation.

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

• Create, preview, and execute fundamental data transformations involving steps and hops
• Configure and secure the Pentaho Enterprise Repository
• Consolidate diverse data sources to generate a single, unified version of the truth in a format ready for analytics.
• Deliver results to third-party applications for subsequent processing

Audience

• Data Analysts
• ETL Developers

Course Format

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

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

This instructor-led live training, available either online or onsite, is tailored for advanced engineers aiming to master high-performance, large-scale, and heavily automated PDI solutions.

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

• Architect large-scale ETL pipelines with sophisticated orchestration.
• Optimize intricate transformations to ensure maximum performance.
• Implement scripting, automation, and hybrid integration patterns.
• Design robust, maintainable, and production-ready workflows.

Course Format

• Demonstrations and architectural discussions led by experts.
• Extensive lab sessions focusing on advanced, real-world ETL challenges.
• Practical development work in a production-like environment.

Course Customization Options

• Please reach out to 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-aware representation of the information.

Implementing sensor fusion necessitates the use of algorithms to filter and combine disparate data streams.

Target Audience

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

This instructor-led, live training in India (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 organisation's roles and tasks.

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

• Install and configure Talend Administration Center.
• Understand and implement fundamental Talend management principles.
• Create, deploy, and execute business projects or tasks within Talend.
• Monitor dataset security and develop business routines based on the TAC framework.
• Gain a broader understanding of big data applications.

This instructor-led, live training in India (online or on-site) is designed for technical professionals who wish to deploy Talend Open Studio for Big Data to simplify the process of reading and analysing Big Data.

Upon completion 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 the Big Data components and connectors in Open Studio.
• Configure parameters to automatically generate MapReduce code.
• Use the drag-and-drop interface in Open Studio to run Hadoop jobs.
• Prototype Big Data pipelines.
• Automate Big Data integration projects.

This instructor-led live training in India (available online or onsite) is targeted 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.

This instructor-led live training in India (online or onsite) is tailored for beginner to intermediate-level data analysts who wish to deepen their knowledge and skills in managing and enhancing 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.

During this instructor-led live training conducted at India, participants will learn how to utilize 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.