Online or onsite, 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 "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Data Integration training can be carried out locally on customer premises in Kazakhstan or in NobleProg corporate training centers in Kazakhstan.
NobleProg -- Your Local Training Provider
Testimonials
★★★★★
★★★★★
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
All the examples of sensor fusion systems on the market.
Denise Bernier-Pineault, Defence Research and Development Canada
Course: Sensor Fusion Algorithms
It's a hands-on session.
Vorraluck Sarechuer - Total Access Communication Public Company Limited (dtac)
Course: Talend Open Studio for ESB
wiedza, wzorcowe prowadzenie szkolenia
Krzysztof Kantorski - Sebastian Kotulski, Santander
Course: Oracle GoldenGate
Tempo zajęć, pilnowanie czasu dobry kontakt z prowadzącym
This instructor-led, live training in Kazakhstan (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 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
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.
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.
Sensor Fusion is the combination and integration of data from multiple sensors to provide a more accurate, reliable and contextual view of data.
Sensor Fusion implementations require algorithms to filter and integrate different data sources.
Audience
This course is targeted at engineers, programmers and architects who deal with multi-sensor implementations.
In this instructor-led, live training in Kazakhstan, 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.
This instructor-led, live training in Kazakhstan (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.
This instructor-led, live training in Kazakhstan (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 Kazakhstan (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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is growing fast!
We are looking for a good mixture of IT and soft skills in Kazakhstan!
As a NobleProg Trainer you will be responsible for:
delivering training and consultancy Worldwide
preparing training materials
creating new courses outlines
delivering consultancy
quality management
At the moment we are focusing on the following areas:
Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
SOA, BPM, BPMN
Hibernate/Spring, Scala, Spark, jBPM, Drools
R, Python
Mobile Development (iOS, Android)
LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
You need to have patience and ability to explain to non-technical people
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