Data Management 교육

Audience

- Programmers
- Beginner IT professionals

Format of the course

-

Part lecture, part discussion, heavy hands-on practice

This instructor-led, live training in 대한민국 (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.

This instructor-led, live training in 대한민국 (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.

This instructor-led, live training in 대한민국 (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.

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 대한민국 (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.

In this instructor-led, live training in 대한민국, 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 대한민국 (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.

This instructor-led, live training in 대한민국 (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 대한민국 (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.

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.

This is an Instructor led course, and is the non-certification version of the "[CDP - Certificate in Data Protection](/cc/cdp)" 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.

This instructor-led, live training in 대한민국 (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 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 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.

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 instructor-led, live training in 대한민국 (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).

This instructor-led, live training in 대한민국 (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.

This instructor-led, live training in 대한민국 (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.