Data Management培訓

This instructor-led, live training in 台灣 (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.

Audience

- Programmers
- Beginner IT professionals

Format of the course

-

Part lecture, part discussion, heavy hands-on practice

This instructor-led, live training in 台灣 (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 台灣 (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 台灣 (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數據集成是一個開源數據集成工具，用于定義作業和數據轉換。 在這種有指導性的現場培訓中，與會者將學習如何使用Pentaho Data Integration強大的ETL功能和豐富的GUI來管理整個大數據生命周期，從而最大限度地提高組織的數據價值。 在培訓結束後，參與者將能夠： 創建，預覽和運行包含步驟和跳躍的基本數據轉換配置和保護Pentaho Enterprise Repository 利用不同來源的數據，並以分析已准備好的格式生成單一統一版本的真相。 向第三方應用程序提供結果以供進一步處理 聽衆 數據分析師 ETL開發人員 課程的格式 部分講座，部分討論，練習和沈重的練習

Pentaho開源BI套件社區版（CE）是一個商業智能包，提供數據集成，報告，儀表板和加載功能。 在這個有指導意義的現場培訓中，與會者將學習如何最大限度地發揮Pentaho開源BI套件社區版（CE）的功能。 在培訓結束後，參與者將能夠： 安裝並配置Pentaho開源智能套件社區版（CE） 了解Pentaho CE工具及其功能的基本原理使用Pentaho CE構建報告將第三方數據整合到Pentaho CE中在Pentaho CE中使用大數據和分析 聽衆 程序員 BI開發人員 課程的格式 部分講座，部分討論，練習和沈重的練習 注意 要請求本課程的定制培訓，請聯系我們安排。

KNIME Analytics Platform是數據驅動創新的領先開源選項，可幫助您發現隱藏在數據中的潛力，挖掘新的見解或預測新的未來。 KNIME Analytics Platform擁有1000多個模塊，數百個可立即運行的示例，全面的集成工具以及最廣泛的高級算法選擇，是任何數據科學家和業務分析師的理想工具箱。

KNIME分析平台的這門課程是向KNIME介紹初學者，高級用戶和KNIME專家的理想機會，學習如何更有效地使用它，以及如何基於KNIME工作流程創建清晰，全面的報告

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.

傳感器融合是來自多個傳感器的數據的組合和整合，以提供更准確，可靠和上下文的數據視圖。 傳感器融合實施需要算法來過濾和集成不同的數據源。 聽衆 本課程面向處理多傳感器實施的工程師，程序員和架構師。

Talend Open Studio for ESB是一個用於服務中介和路由的開源實時應用程序集成工具。它簡化了企業級系統，服務和應用程序的集成。通過支持服務的應用程序和遺留系統，它可以創建面向服務的體系結構（SOA）。

在這個由講師指導的實時培訓中，參與者將學習如何使用Talend Open Studio for ESB來創建，連接，調解和管理服務及其交互。

在培訓結束時，參與者將能夠

- 在各種部署環境中將ESB技術集成，增強和交付為單個軟件包。
- 了解並利用Talend Open Studio最常用的組件。
- 集成任何應用程序，數據庫，API或Web服務。
- 無縫集成異構系統和應用程序。
- 嵌入現有Java代碼庫以擴展項目。
- 利用社區組件和代碼來擴展項目。
- 在拖放式Eclipse環境中快速集成系統，應用程序和數據源。
- 通過生成優化的可重用代碼，減少開發時間和維護成本。

課程形式

- 部分講座，部分討論，練習和繁重的實踐練習

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

描述： 有必要就1998年“數據保護法”“該法”及其對組織和個人的影響提供充分的培訓。該法與其前身1984年的“數據保護法”之間有著重要的區別。特別是，該法包含了與人工記錄和跨境數據流有關的重要新義務，新的通知制度和經修正的原則。在歐洲範圍內了解該法是很重要的。 需要對那些在數據保護問題方面經驗豐富的人員以及對這個問題有所了解的人員進行培訓，以使他們的組織有信心持續遵守法律合規。有必要及時發現需要專家數據保護建議的問題，以便通過相關的數據保護政策和程序提高組織的聲譽和可信度。 目標： 教學大綱的目的是促進對數據保護原則如何工作的理解，而不是僅僅關注監管機制。教學大綱將該法納入人權範疇，並促進組織內的良好實踐。獲得證書時，獲獎者將擁有： 對該法的更廣泛背景的欣賞。 了解該法和隱私和電子的方式通信（EC指令）條例2003年工作對相關立法與該法有關的方式有廣泛的理解了解爲達到合規要做些什麽公認的數據保護資格課程簡介： 教學大綱包含三個主要部分，每個部分都有很多小節！ 上下文將討論該法的起源和原因，同時考慮到一般的隱私。 “法律 - 數據保護法”將解決該法和下屬立法的主要概念和要素。 應用程序將考慮如何實現合規以及該法如何在實踐中發揮作用。

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.

密碼術是一種用於保護數據的軟件技術。

這種由講師指導的現場培訓（現場或遠程）面向希望學習密碼學基礎知識的工程師，並應用這些知識來保護他們的軟件應用程序和系統。

在培訓結束時，參與者將能夠：

- 生成共享密鑰以在雙方之間安全地進行通信
- 理解並採用眾多安全協議
- 分析現有系統中的安全漏洞
- 當有害方訪問私人數據時採取適當措施
- 檢查涉及不需要的數據訪問的實際案例並實施適當的響應。

課程格式

- 互動講座和討論。
- 大量的練習和練習。
- 在實時實驗室環境中親自實施。

課程自定義選項

- 要申請本課程的定制培訓，請聯繫我們安排。

本課程旨在爲那些希望簡要概述GDPR - 2018年5月25日發布的通用數據保護條例的人員提供幫助。對于需要了解GDPR基本知識的經理，部門負責人和員工而言，這是理想選擇。

這對于那些與GDPR有很大關系並且可以被任命爲GDPR團隊的人來說更爲深刻。這對于IT，人力資源和市場營銷人員來說是理想的，他們將廣泛處理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 台灣 (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 台灣 (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 台灣 (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.