Curso: Data Analytics Process, Cloud Solutions, and Power BI Solutions

CENTRO DE FORMACIÓN
MODALIDAD
  • Presencial
DURACIÓN
  • 35 horas
LUGAR DE IMPARTICIÓN
  • Aula Virtual
DOCENTES
  • No disponible

Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi.

This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.

By the end of this training, participants will be able to:

  • Install and configure Power BI.
  • Evaluate the various data solutions offered by cloud providers such as Azure.
  • Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
  • Apply tools and techniques to clean data in preparation for analysis.
  • Build reporting and analytics solutions based on on-premise as well as cloud data.
  • Integrate data analytics solutions with a data warehouse.
  • Mitigate data security risks and ensure data privacy.

Introduction

Overview of On-Premise and Cloud-Based Data Storage and Analysis Solutions

Understanding Big Data

  • Big Data criteria
  • Big Data structure
  • Working with Big Data

Cloud Solutions

  • Azure SQL Database
  • Azure Data Warehouse
  • Azure Data Factory
  • Azure Databricks
  • Power BI

Working with Databases

  • Data warehouse design
  • Dimensional modelling
  • Implementation and deployment

Data Models - A Comparison

  • SSAS Tabular Data Models
  • SSAS Multidimension Models
  • Power BI Models

Data Cleansing

  • Strategies and tools

Report Models

  • Building Power BI tabular models
  • Understanding DAX

PowerBI Reports

  • Designing Power BI reports

Power BI Architecture

  • Workspace generation
  • Licensing
  • Permissions

Administration

  • Administering Azure solutions
  • Administering the Power BI Service

Security

  • Maintaining a secure Azure architecture
  • Azure SQL Database/Data Warehouse, Data Factory and Data Bricks
  • Data Masking and Privacy Issues

Summary and Conclusion

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