Data Management Training Courses

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.

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.

In this instructor-led, live training in the US (online or onsite), 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.

This instructor-led, live training in the US (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.

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.

This instructor-led, live training in the US (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).

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

This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to learn the fundamentals of cryptography and apply this knowledge to secure their software applications and systems.

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

- Generate shared secret keys to communicate securely between two parties
- Understand and adopt numerous security protocols
- Analyze security holes in existing systems
- Take appropriate measures when an unwanted party accesses private data
- Examine real-world cases involving unwanted data access and implement appropriate responses.

This instructor-led, live training in the US (online or onsite) is aimed at system administrators who wish to administer the Informatica environment.

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

- Use PowerCenter to build mappings, tasks, and workflows.
- Maintain repository migration and external version control systems.
- Import and/or export at the metadata level.

This is more in-depth and would be for those working a great deal with the GDPR and who may be appointed to the GDPR team. This would be ideal for IT, human resources and marketing employees, and they will deal extensively with the GDPR.

The PECB Certified Data Protection Officer training course enables you to acquire the necessary knowledge and skills, and develop the competence to perform the role of the data protection officer in a GDPR compliance program implementation.

Why should you attend?

As data protection is becoming more and more valuable, the need for organizations to protect these data is also constantly increasing. Besides violating the fundamental rights and freedoms of persons, not complying with the data protection regulations can lead to risky situations that could harm an organization’s credibility, reputation, and financial status. This is where your skills as a data protection officers come to place.

The PECB Certified Data Protection Officer training course will help you acquire the knowledge and skills to serve as a Data Protection Officer (DPO) so as to help organizations ensure compliance with the General Data Protection Regulation (GDPR) requirements.

Based on practical exercises, you will be able to master the role of the DPO and become competent to inform, advise, and monitor compliance with the GDPR and cooperate with the supervisory authority.

After attending the training course, you can sit for the exam, and if you successfully pass the exam, you can apply for the “PECB Certified Data Protection Officer” credential. The internationally recognized “PECB Certified Data Protection Officer” certificate will prove that you have the professional capabilities and practical knowledge to advise the controller and the processor on how to meet their obligations regarding the GDPR compliance.

Who should attend?

- Managers or consultants seeking to prepare and support an organization in planning, implementing, and maintaining a compliance program based on the GDPR
- DPOs and individuals responsible for maintaining conformance with the GDPR requirements
- Members of information security, incident management, and business continuity teams
- Technical and compliance experts seeking to prepare for a data protection officer role
- Expert advisors involved in the security of personal data

Learning objectives

- Understand the concepts of the GDPR and interpret its requirements
- Understand the content and the correlation between the General Data Protection Regulation and other regulatory frameworks and applicable standards, such as ISO/IEC 27701 and ISO/IEC 29134
- Acquire the competence to perform the role and daily tasks of the data protection officer in an organization
- Develop the ability to inform, advise, and monitor compliance with the GDPR and cooperate with the supervisory authority

Educational approach

- This training course is based on both theory and best practices used in exercising the role of the DPO.
- Lecture sessions are illustrated with practical exercises based on a case study which include role-playing and discussions.
- The participants are encouraged to intercommunicate and engage in discussions and exercises.
- Practice exercises and quizzes are similar to the certification exam.

General Information

- Participants will be provided with the training course material containing over 450 pages of explanatory information and practical examples.
- An Attendance Record worth 31 CPD (Continuing Professional Development) credits will be issued to participants who have attended the training course.

This course is developed primarily with focus on auditors and other administrative roles who are
tasked to ensure compliance of their control systems and IT environment with prevailing laws and
regulations. The course will begin by giving understanding of key GDPR concepts as well as how it is
going to affect the work performed by auditors. Participants will also explore data subjects rights,
data controllers and processors obligations, and enforcement and compliance notions in the
context of the Regulation. The training will also cover the audit program provided by ISACA that will
enable auditors to review GDPR governance and response mechanisms as well as supporting
processes which can help manage the risk associated with noncompliance.

This one-day course is for people looking for a brief outline of the GDPR – General Data Protection Regulations coming out May 25, 2018. This is ideal for managers, department heads, and employees who need to understand the basics of the GDPR.

This instructor-led, live training in the US (online or onsite) is aimed at developers who wish to use EBX5 (TIBCO EBX) to enable a Master Data Management solution within their organization.

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

- Interpret requirements and architect an MDM solution.
- Enable the management and integration of master data.
- Integrate and transfer data across multiple systems.
- Import data into EBX5 using match and merge logic.
- Design, create and document a data model that addresses their organization's business requirements.
- Integrate EBX5 with 3rd party services.

In this instructor-led, live training in the US, 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.