Data Vault Training Courses

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Data Vault Training Courses

Онлайн или на място, водени от инструктор курсове за обучение на Data Vault на живо демонстрират чрез интерактивна практическа практика основите на Data Vault. Обучението за Data Vault се предлага като „онлайн обучение на живо“ или „обучение на живо на място“. Онлайн обучението на живо (известно още като „дистанционно обучение на живо“) се извършва чрез интерактивен отдалечен работен плот . Обучението на живо на място може да се проведе локално в помещенията на клиента в България или в корпоративните центрове за обучение на NobleProg в България. NobleProg -- Вашият местен доставчик на обучение

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Data Vault Course Outlines

Име на Kурса
Продължителност
Общ преглед
Име на Kурса
Продължителност
Общ преглед

Data Vault: Изграждане на Scalaмощно хранилище за данни

28 hours
Data Vault Modeling is a database modeling technique that provides long-term historical storage of data that originates from multiple sources. A data vault stores a single version of the facts, or "all the data, all the time". Its flexible, scalable, consistent and adaptable design encompasses the best aspects of 3rd normal form (3NF) and star schema. In this instructor-led, live training, 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.
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice

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As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
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At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
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