The Torch tower

Doha, Qatar

Subcategories (5)

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Master Data Management (MDM)
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Data Integration
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Data Protection
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Data Architecture
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Data Quality

Explore Our Courses

DP601: Implementing a Lakehouse with Microsoft Fabric

21 Hours
This instructor-led, live training in Qatar (online or onsite) is aimed at intermediate-level data professionals who wish to implement a lakehouse solution using Microsoft Fabric.By the end of this training, participants will be able to:
  • Understand the architecture and components of Microsoft Fabric.
  • Configure and manage a Lakehouse using Microsoft Fabric.
  • Ingest and transform data using Apache Spark.
  • Utilize Delta Lake tables for versioning and managing data.
  • Implement data ingestion pipelines with Dataflows Gen2.
  • Orchestrate data pipelines using Data Factory.
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Dataprep Fundamentals

14 Hours
This instructor-led, live training in Qatar (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills required to effectively prepare data for analysis, ensuring accuracy, consistency, and reliability in diverse datasets. By the end of this training, participants will be able to:
  • Gain a thorough understanding of data preparation's significance in ensuring high-quality, reliable data for analysis and modeling purposes.
  • Acquire hands-on proficiency in data collection, cleaning, transformation, and integration techniques using real-world datasets.
  • Develop the ability to identify and address data-related challenges, discrepancies, and inconsistencies effectively.
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Data Catalog Fundamentals

14 Hours
This instructor-led, live training in Qatar (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain in-depth knowledge and practical skills necessary for understanding, implementing, and leveraging the power of data catalogs within organizational settings. By the end of this training, participants will be able to:
  • Learn to implement and manage data catalogs effectively within an organization.
  • Utilize data catalogs for effective data governance and compliance.
  • Develop skills for effective data discovery and search capabilities using data catalogs.
  • Integrate data catalogs with existing data systems for seamless functionality.
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Personal Data Protection Officer - Advanced Level

14 Hours
Purpose of the Training
  • Gaining practical knowledge on how to perform the tasks of the Inspector
  • Gaining practical knowledge of how to audit and how to assess risk
  • Providing practical knowledge about the new rules for the processing of personal data
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Queue Data Structure

7 Hours
This instructor-led, live training in Qatar (online or onsite) is aimed at developers who wish to learn how to implement queues on the data structure. By the end of this training, participants will be able to:
  • Learn about the algorithms that are commonly used in the data structure.
  • Understand the applications of queue data structure.
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Talend Data Stewardship

14 Hours
This instructor-led, live training in Qatar (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.
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Oracle GoldenGate

14 Hours
This instructor-led, live training in Qatar (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.
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Personal Data Protection Officer - Basic Level

21 Hours
Purpose of the Training
  • Acquainting the audience with systematized, comprehensive issues of the functioning of personal data protection on the basis of Polish and European law
  • Providing practical knowledge about the new rules for the processing of personal data
  • Presentation of the areas of the greatest legal risks in connection with the entry into force of the GDPR
  • Practical preparation for independent performance of the duties of a Personal Data Protection Officer
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Certified Data Management Professional (CDMP)

35 Hours
This 5-day course addresses all the information management disciplines as defined in the DAMA body of knowledge (DMBoK). Taught by an industry recognized DAMA DMBoK (2.0) author and CDMP(Fellow) this course provides a solid foundation across all of the disciplines across the complete Information management spectrum. By attending the course, delegates will get a firm grounding of the core Information Management concepts and illustrate their practical application with real examples of how Information architecture is applied.
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Data Management

35 Hours
Audience
  • Programmers
  • Beginner IT professionals
Format of the course
  •     Part lecture, part discussion, heavy hands-on practice
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Data Quality: Data Quality Management for Developers

28 Hours
This course is for 10.x. Learn how to automate a data quality assurance process using the Informatica Data Quality platform. Define, standardize, and enhance data while testing and debugging Data Quality solutions.
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DMBK3: Data Quality Management

21 Hours
The course covers Data Quality Management within the DAMA Body of Knowledge (DMBoK®) in depth. It discusses the many different parts of Data Quality and why validity is often confused with quality. It discusses the dimensions of Data Quality as well as the policies, procedures, metrics, technology, and resources for ensuring Data Quality. It looks at a specific reference model, as well as root cause analysis, tools that helps support Data Quality Management, creation and monitoring of Data Quality measures, and various myths and pitfalls around Data Quality Management.
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DSpace

21 Hours
This instructor-led, live training in Qatar (online or onsite) is aimed at repository managers, SysAdmins, and developers who wish to install, configure, and monitor the DSpace platform to manage their content assets. By the end of this training, participants will be able to:
  • Set up DSpace to manage and preserve various types of digital content.
  • Manage the DSpace platform to store, preserve, and share document libraries online.
  • Configure DSpace user interface, metadata, and database to suit organizational needs.
  • Use analytics services to monitor user traffic and metrics and generate useful statistics for the organization.
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MarkLogic Data Hub

14 Hours
This instructor-led, live training in Qatar (online or onsite) is aimed at system administrators, database administrators, data architects, and developers who wish to install, configure, and manage MarkLogic Data Hub to organize and manage their data from various silos. By the end of this training, participants will be able to customize, secure, track, and manage their enterprise data using MarkLogic Data Hub capabilities and tools.
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MarkLogic Server

14 Hours
This instructor-led, live training in Qatar (online or onsite) is aimed at system administrators, database administrators, data architects, and developers who wish to install, configure, and manage MarkLogic Server to optimize their database systems. By the end of this training, participants will be able to implement, develop, manage, and secure their enterprise data and database systems using MarkLogic Server.
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Data Engineering Integration for Developers

21 Hours
This course is for software 10.5. Learn to speed up Data Engineering Integration with large ingestion, incremental loading, transformations, complicated file processing, dynamic mappings, and Python. Examine how to reuse application logic for Data Engineering use cases while monitoring, troubleshooting, and best practices. Objectives After successfully completing this course, students should be able to:
  • Mass ingest data to Hive and HDFS
  • Perform incremental loads in Mass Ingestion
  • Perform initial and incremental loads
  • Integrate with relational databases using SQOOP
  • Perform transformations across various engines
  • Execute a mapping using JDBC in Spark mode
  • Perform stateful computing and windowing
  • Process complex files
  • Parse hierarchical data on Spark engine
  • Run profiles and choose sampling options on Spark engine
  • Execute Dynamic Mappings
  • Create Audits on Mappings
  • Monitor logs using REST Operations Hub
  • Monitor logs using Log Aggregation and troubleshoot
  • Run mappings in Databricks environment
  • Create mappings to access Delta Lake tables
  • Tune performances of Spark and Databricks jobs
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KNIME Analytics Platform for BI

21 Hours
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
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Platforma analityczna KNIME - szkolenie kompleksowe

35 Hours
The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analytics platform. The program includes an introduction to data processing and analysis, KNIME installation and configuration, workflow building, 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, Neo4j. The conclusion includes an overview of reporting, integration with BIRT and KNIME WebPortal.
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Pentaho Open Source BI Suite Community Edition (CE)

28 Hours
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.
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Pentaho Data Integration Fundamentals

21 Hours
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
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CDP - Certificate in Data Protection

35 Hours
There is a need to provide adequate training on the Data Protection Act 1998 "the Act" and its implications for both organisations and individuals. There are important differences between the Act and its predecessor, the Data Protection Act 1984. In particular, the Act contains important new obligations in relation to manual records and transborder data flows, a new notification system and amended principles. It is important to understand the Act in the European context. Those experienced in data protection issues, as well as those new to the subject, need to be trained so that their organisations are confident that legal compliance is continually addressed. It is necessary to identify issues requiring expert data protection advice in good time in order that organisational reputation and credibility are enhanced through relevant data protection policies and procedures. Objectives The aim of the syllabus is to promote an understanding of how the data protection principles work rather than simply focusing on the mechanics of regulation. The syllabus places the Act in the context of human rights and promotes good practice within organisations. On attaining the certificate, award holders will possess:
  • appreciation of the broader context of the Act
  • understanding of the way in which the Act and the Privacy and Electronic Communications (EC Directive) Regulations 2003 work a broad understanding of the way associated legislation relates to the Act an understanding of what has to be done to achieve compliance a recognised qualification in data protection
Course Synopsis The syllabus comprises three main parts, each with many sub-sections! Context - this will address the origins of and reasons for the Act together with consideration of privacy in general. Law – Data Protection Act - this will address the main concepts and elements of the Act and subordinate legislation. Application - this will consider how compliance is achieved and how the Act works in practice.
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CIPP/E – Certified Information Privacy Professional/Europe

14 Hours
The CIPP/E training course provides an in-depth review of the GDPR and critical data protection concepts. Principles of Data Protection in Europe covers the essential pan-European and national data protection laws, as well as industry standard best practices for corporate compliance with these laws.
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Data Protection

35 Hours
This is an Instructor led course, and is the non-certification version of the "CDP - Certificate in Data Protection" course Those experienced in data protection issues, as well as those new to the subject, need to be trained so that their organisations are confident that legal compliance is continually addressed. It is necessary to identify issues requiring expert data protection advice in good time in order that organisational reputation and credibility are enhanced through relevant data protection policies and procedures. Objectives: The aim of the syllabus is to promote an understanding of how the data protection principles work rather than simply focusing on the mechanics of regulation. The syllabus places the Act in the context of human rights and promotes good practice within organisations. On completion, you will have:
  • an appreciation of the broader context of the Act.
  • an understanding of the way in which the Act and the Privacy and Electronic Communications (EC Directive) Regulations 2003 work
  • a broad understanding of the way associated legislation relates to the Act
  • an understanding of what has to be done to achieve compliance
Course Synopsis: The syllabus comprises three main parts, each sub-sections.
  • Context - this will address the origins of and reasons for the Act together with consideration of privacy in general.
  • Law – Data Protection Act - this will address the main concepts and elements of the Act and subordinate legislation.
  • Application - this will consider how compliance is achieved and how the Act works in practice.
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Pimcore PIM/MDM

21 Hours
This instructor-led, live training in Qatar (online or onsite) is aimed at engineers who wish to use Pimcore to manage product, customer, vendor, etc. data across multiple domains. By the end of this training, participants will be able to:
  • Consolidate complex master data across heterogeneous systems.
  • Configure complex multi-domain data models from multiple sources and formats.
  • Model, store and manage the hierarchy and structure of data within an organization.
  • Cleanse, match, verify, and standardize master data.
  • Integrate PIM data with digital asset management (DAM), content management (CMS), and user experience / customer experience design (UX / CX).
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Data Architecture Fundamentals

28 Hours
This instructor-led, live training in Qatar (online or onsite) is aimed at computer engineers, data analysts, and project managers who wish to design, manage and evaluate organizational data systems. By the end of this training, participants will be able to:
  • Design data systems that fit an organization's needs.
  • Evaluate data assets to craft an effective data processing system.
  • Implement risk mitigation methods to build a solid enterprise data architecture.
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Data Quality: Advanced Techniques

21 Hours
Learn how to use Developer to profile, cleanse, standardize, de-duplicate, and consolidate data across a business. Building custom Classifier and Probabilistic Models, automating Associating and Consolidating matching data, applying Parameters in mappings, and more. This course covers all 10 releases.
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Sensor Fusion Algorithms

14 Hours
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.    
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Talend Administration Center (TAC)

14 Hours
This instructor-led, live training in Qatar (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.
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Talend Big Data Integration

28 Hours
This instructor-led, live training in Qatar (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.
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Talend Cloud

7 Hours
This instructor-led, live training in Qatar (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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Testimonials (12)

The instructor was very simple and clear on the point of the course

Mohamed - Dubai Government Human Resources Department - DGHR
Course - Certified Data Management Professional (CDMP)

Practical knowledge of the trainer

Faisal - StarLink
Course - Certified Data Management Professional (CDMP)

The Trainer was knowledgeable and had a very good experience along with a very good way of teaching. thank you Gaurave for that training i am really enjoyed.

Walid
Course - Certified Data Management Professional (CDMP)

practical application of the concepts & knowledge sharing amongst participants and OfCourse by the Instructor as well.

Noosi
Course - Certified Data Management Professional (CDMP)

Trainer made sure that everybody aligned on knowledge area and tried best for explanation.

narayanan - Saudi Accreditation Center
Course - Certified Data Management Professional (CDMP)

Who stopped to explain to us when someone was late and update us

Paul Bermúdez - CompuEduacion SA de CV
Course - Data Catalog Fundamentals

Machine Translated

Jhon showed a lot of effort to make the topic to be discussed clear, through examples and exercises. He always showed a willingness to resolve doubts, even those that involved an investigation outside of course hours. He was punctual, attentive and friendly.

Karla Melina Parra Sanchez - CompuEduacion SA de CV
Course - Data Catalog Fundamentals

Machine Translated

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

I was benefit from the discussion and exchange of ideas.

RAYMOND JACKSON PAJARILLO
Course - Data Protection

I enjoyed the interaction and facts gained / learn.

Monna Liza Mengullo
Course - Data Protection

The ability to Engauge on a 1:1 basis and ensure I had clarity and understanding on the concepts discussed.

Dave - Sea
Course - Data Architecture Fundamentals

wiedza, wzorcowe prowadzenie szkolenia

Krzysztof Kantorski - Santander
Course - Oracle GoldenGate

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