Des cours de formation Data Warehouse en direct, organisés en local, démontrent par des discussions et des pratiques pratiques comment comprendre, planifier et mettre en place un entrepôt de données La formation Data Warehouse est disponible en tant que «formation en direct sur site» ou «formation en direct à distance» La formation en direct sur site peut être effectuée localement dans les locaux du client France ou dans les centres de formation d'entreprise NobleProg à France La formation en ligne à distance est réalisée au moyen d'un ordinateur de bureau interactif et distant Data Warehouse est également appelé Enterprise Data Warehouse (EDW) ou Data Warehousing NobleProg Votre fournisseur de formation local.
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Nos Clients témoignent
Exemples d'exercices: Partage d'expérience de travail pratique
澳新银行
Formation: Data Vault: Building a Scalable Data Warehouse
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Cube et DV
Alan Xie
Formation: Data Vault: Building a Scalable Data Warehouse
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La connaissance de l'entrepôt de données de l'enseignant est complète, et il en fait l'éloge!
澳新银行
Formation: Data Vault: Building a Scalable Data Warehouse
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L'enseignant a expliqué en détail et discuté de l'atmosphère
澳新银行
Formation: Data Vault: Building a Scalable Data Warehouse
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Application pratique, aide à expliquer de nombreux doutes
SGB-Bank S.A.
Formation: Data Vault: Building a Scalable Data Warehouse
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présenter sous forme graphique et discuter de la prochaine étape, qui sera effectuée en SQL
Volkswagen Financial Services Polska Sp. z o.o.,
Formation: Data Vault: Building a Scalable Data Warehouse
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Sous-catégories Data Warehouse (DW)
Plans de cours DWH (Data Warehouse)
Nom du Cours
Durée
Aperçu
Nom du Cours
Durée
Aperçu
14 hours
The course is part of the Data Scientist skill set (Domain: Data and Technology).
21 hours
Apache Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo.
In this instructor-led, live course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.
Format of the Course
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
In this instructor-led, live course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.
Format of the Course
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
14 hours
Apache Kylin is an extreme, distributed analytics engine for big data.
In this instructor-led live training, participants will learn how to use Apache Kylin to set up a real-time data warehouse.
By the end of this training, participants will be able to:
- Consume real-time streaming data using Kylin
- Utilize Apache Kylin's powerful features, rich SQL interface, spark cubing and subsecond query latency
Note
- We use the latest version of Kylin (as of this writing, Apache Kylin v2.0)
Audience
- Big data engineers
- Big Data analysts
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 Apache Kylin to set up a real-time data warehouse.
By the end of this training, participants will be able to:
- Consume real-time streaming data using Kylin
- Utilize Apache Kylin's powerful features, rich SQL interface, spark cubing and subsecond query latency
Note
- We use the latest version of Kylin (as of this writing, Apache Kylin v2.0)
Audience
- Big data engineers
- Big Data analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
28 hours
MemSQL is an in-memory, distributed, SQL database management system for cloud and on-premises. It's a real-time data warehouse that immediately delivers insights from live and historical data.
In this instructor-led, live training, participants will learn the essentials of MemSQL for development and administration.
By the end of this training, participants will be able to:
- Understand the key concepts and characteristics of MemSQL
- Install, design, maintain, and operate MemSQL
- Optimize schemas in MemSQL
- Improve queries in MemSQL
- Benchmark performance in MemSQL
- Build real-time data applications using MemSQL
Audience
- Developers
- Administrators
- Operation Engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn the essentials of MemSQL for development and administration.
By the end of this training, participants will be able to:
- Understand the key concepts and characteristics of MemSQL
- Install, design, maintain, and operate MemSQL
- Optimize schemas in MemSQL
- Improve queries in MemSQL
- Benchmark performance in MemSQL
- Build real-time data applications using MemSQL
Audience
- Developers
- Administrators
- Operation Engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
21 hours
Amazon Redshift is a petabyte-scale cloud-based data warehouse service in AWS.
In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift.
By the end of this training, participants will be able to:
- Install and configure Amazon Redshift
- Load, configure, deploy, query, and visualize data with Amazon Redshift
Audience
- Developers
- IT Professionals
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 the fundamentals of Amazon Redshift.
By the end of this training, participants will be able to:
- Install and configure Amazon Redshift
- Load, configure, deploy, query, and visualize data with Amazon Redshift
Audience
- Developers
- IT Professionals
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 hours
This instructor-led, live training in France (online or onsite) is aimed at developers who wish to set up a multi-node Greenplum database.
By the end of this training, participants will be able to:
- Install and configure Pivotal Greenplum.
- Model data in accordance to current needs and future expansion plans.
- Carry out different techniques for distribute data across multiple nodes.
- Improve database performance through tuning.
- Monitor and troubleshoot a Greenplum database.
By the end of this training, participants will be able to:
- Install and configure Pivotal Greenplum.
- Model data in accordance to current needs and future expansion plans.
- Carry out different techniques for distribute data across multiple nodes.
- Improve database performance through tuning.
- Monitor and troubleshoot a Greenplum database.
14 hours
This instructor-led, live training in France (online or onsite) is aimed at administrators who wish to set up Greenplum Database for business intelligence and data warehousing solutions.
By the end of this training, participants will be able to:
- Address processing needs with Greenplum.
- Perform ETL operations for data processing.
- Leverage existing query processing infrastructures.
By the end of this training, participants will be able to:
- Address processing needs with Greenplum.
- Perform ETL operations for data processing.
- Leverage existing query processing infrastructures.
28 hours
In this instructor-led, live training in France, participants will learn how to build a Data Vault.
By the end of this training, participants will be able to:
- Understand the architecture and design concepts behind Data Vault 2.0, and its interaction with Big Data, NoSQL and AI.
- Use data vaulting techniques to enable auditing, tracing, and inspection of historical data in a data warehouse.
- Develop a consistent and repeatable ETL (Extract, Transform, Load) process.
- Build and deploy highly scalable and repeatable warehouses.
By the end of this training, participants will be able to:
- Understand the architecture and design concepts behind Data Vault 2.0, and its interaction with Big Data, NoSQL and AI.
- Use data vaulting techniques to enable auditing, tracing, and inspection of historical data in a data warehouse.
- Develop a consistent and repeatable ETL (Extract, Transform, Load) process.
- Build and deploy highly scalable and repeatable warehouses.
Last Updated:
Prochains cours Data Warehouse (DW)
Apache Druid for Real-Time Data Analysis
09-02-2022 09:30
21 heures
Big Data & Database Systems Fundamentals
09-02-2022 09:30
14 heures
Apache Kylin: From Classic OLAP to Real-Time Data Warehouse
23-02-2022 09:30
14 heures
MemSQL
28-02-2022 09:30
28 heures
Data Vault: Building a Scalable Data Warehouse
28-03-2022 09:30
28 heures
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