Data integration involves combining data residing in different sources and providing users with a unified view of them.
회원 평가
handson 연습은 우리가 Talend의 기능 및 특징을 평가하는 데 좋습니다.
Iverson Associates Sdn Bhd
Course: Talend Open Studio for Data Integration
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훈련에 손 ..
Muraly Muniandy - Iverson Associates Sdn Bhd
Course: Talend Open Studio for Data Integration
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트레이너의 지식과 유연성이 코스 주제에서 약간 벗어난 토론과 함께 ..
Iverson Associates Sdn Bhd
Course: Talend Open Studio for Data Integration
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주제에 대한 방대한 지식과 경험.
Iverson Associates Sdn Bhd
Course: Talend Open Studio for Data Integration
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전체
Szymon Bodak - Bridgestone Stargard Sp. z o.o.
Course: Talend Open Studio for Data Integration
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공구의 커패시턴스
Gerardo Avila - Reckitt Benckizer
Course: KNIME Analytics Platform for BI
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새로운 도구 배우기
MARIA ELENA DOMINGUEZ ESCUDERO - Reckitt Benckizer
Course: KNIME Analytics Platform for BI
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사용자 고유의 함수를 사용 하기 위한 전역 변수와 기능에 대 한 정보.
EduBroker Sp. z o.o.
Course: Talend Open Studio for Data Integration
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실용적인 작업
EduBroker
Course: Talend Open Studio for Data Integration
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연습
EduBroker
Course: Talend Open Studio for Data Integration
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완전히 개인화 된 접근 방식
Peter CHUCK - Satellic NV
Course: Talend Open Studio for Data Integration
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데이터 통합서브 카테고리
데이터 통합코스 개요
코스 이름
Duration
Overview
코스 이름
Duration
Overview
21 시간
Overview
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
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
28 시간
Overview
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.
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.
21 시간
Overview
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 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
35 시간
Overview
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.
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.
14 시간
Overview
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.
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.
28 시간
Overview
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.
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.
21 시간
Overview
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.
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.
28 시간
Overview
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.
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.
14 시간
Overview
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.
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.
7 시간
Overview
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.
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.
향후데이터 통합 코스
2021-07-01 10:00:00
14 hours
2021-07-05 10:00:00
28 hours
2021-07-07 10:00:00
21 hours
2021-08-02 10:00:00
21 hours
2021-08-10 10:00:00
7 hours
Other countries
Consulting
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