Local, 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 "onsite live training" or "remote live training". Onsite live Data Integration training can be carried out locally on customer premises in India or in NobleProg corporate training centers in India. Remote live training is carried out by way of an interactive, remote desktop.
NobleProg -- Your Local Training Provider
Testimonials
★★★★★
★★★★★
The hands-on exercises are good for us to appreciate the capability and features of Talent.
Iverson Associates Sdn Bhd
Course: Talend Open Studio for Data Integration
I mostly enjoyed the hands-on Training.
Muraly Muniandy - Iverson Associates Sdn Bhd
Course: Talend Open Studio for Data Integration
I liked the trainer's knowledge and flexibility with discussions slightly off course topic.
Iverson Associates Sdn Bhd
Course: Talend Open Studio for Data Integration
I liked the vast knowledge and experience on topic.
Iverson Associates Sdn Bhd
Course: Talend Open Studio for Data Integration
entirety
Szymon Bodak - Bridgestone Stargard Sp. z o.o.
Course: Talend Open Studio for Data Integration
Machine Translated
The capacitance of the tool
Gerardo Avila - Reckitt Benckizer
Course: KNIME Analytics Platform for BI
Machine Translated
Learning a new tool
MARIA ELENA DOMINGUEZ ESCUDERO - Reckitt Benckizer
Course: KNIME Analytics Platform for BI
Machine Translated
Information about global variables and capabilities for using your own functions.
KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst.
This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows
KNIME is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface and use of JDBC allows assembly of nodes blending different data sources, including preprocessing (ETL: Extraction, Transformation, Loading), for modeling, data analysis and visualization without, or with only minimal, programming. To some extent as advanced analytics tool KNIME can be considered as a SAS alternative.
Since 2006, KNIME has been used in pharmaceutical research, it also used in other areas like CRM customer data analysis, business intelligence and financial data analysis.
Pentaho Open Source BI Suite Community Edition (CE) is a business intelligence package that provides data integration, reporting, dashboards, and load capabilities.
In this instructor-led, live training, participants will learn how to maximize 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) - 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
Audience
- Programmers - BI Developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
Pentaho Data Integration is an open-source data integration tool for defining jobs and data transformations.
In this instructor-led, live training, participants will learn how to use Pentaho Data Integration's powerful ETL capabilities and rich GUI to manage an entire big data lifecycle and maximize the value of data within their organization.
By the end of this training, participants will be able to:
- 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
Audience
- Data Analyst - ETL developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training in India, participants will learn how to use the Talend ETL tool to carry out data transformation, data extraction, and connectivity with Hadoop, Hive, and Pig.
By the end of this training, participants will be able to
- Explain the concepts behind ETL (Extract, Transform, Load) and propagation. - Define ETL methods and ETL tools to connect with Hadoop. - Efficiently amass, retrieve, digest, consume, transform and shape big data in accordance to business requirements. - Upload to and extract large records from Hadoop (optional), Hive (optional), and NoSQL databases.
In this instructor-led, live training in India, 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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