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IBM: Data Warehousing and BI Analytics

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This course introduces you to designing, implementing and populating a data warehouse and analyzing its data using SQL & Business Intelligence (BI) tools.

Data Warehousing and BI Analytics
6 semanas
2–3 horas por semana
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Comienza el 24 abr
Termina el 30 jun

Sobre este curso

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Today’s businesses are investing significantly in capabilities to harness the massive amounts of data that fuel Business Intelligence (BI). Working knowledge of Data Warehouses and BI Analytics tools are a crucial skill for Data Engineers, Data Warehousing Specialists and BI Analysts, making who are amongst, the most valued resources for organizations.

This course prepares you with the skills and hands-on experience to design, implement and maintain enterprise data warehouse systems and business intelligence tools. You’ll gain extensive knowledge on various data repositories including data marts, data lakes and data reservoirs, explore data warehousing system architectures, deepen on data cubes and data organization using related tables. And analyze data using business intelligence like Cognos Analytics, including its reporting and dashboard features, and interactive visualization capabilities.

This course provides hands-on experience with practice labs and a real-world inspired project that can be added to your portfolio and will demonstrate your proficiency in working with data warehouses. Skills you will gain include building data warehouses, Star/Snowflake schemas, CUBEs, ROLLUPs, Materialized Views/MQTs, reports and dashboards.

This course assumes prior SQL and relational database experience.

De un vistazo

  • Institution IBM
  • Subject Informática
  • Level Intermediate
  • Prerequisites

    Learners should be familiar with SQL

  • Associated programs
  • Language English
  • Video Transcripts اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文
  • Associated skillsMaterialized View, Data Lakes, Business Intelligence Tools, SQL (Programming Language), Data Warehousing, Snowflake Schema, Data Warehouse Systems, Dashboard, Relational Databases, Business Intelligence, Star Schema

Lo que aprenderás

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  • Describe the architecture, features, and benefits of data warehouses, data marts, and data lakes and identify popular data warehouse system vendors.
  • Design and populate a data warehouse, and model and query data using SQL to build CUBEs, ROLLUPs, and Materialized Views.
  • Analyze warehouse data using popular Business Intelligence (BI) tools such as Cognos Analytics to create reports and dashboards.
  • Demonstrate loading data into a data warehouse, writing aggregation queries, creating materialized query tables, and building an analytics dashboard.

Plan de estudios

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Module 1: Data Warehouses, Data Marts, and Data Lakes

  • Data Warehouse Overview

  • Popular Data Warehouse Systems

  • Selecting a Data Warehouse System

  • IBM Db2 Warehouse (Optional)

  • Data Marts Overview

  • Data Lakes Overview

Module 2: Designing, Modeling and Implementing Data Warehouses

  • Overview of Data Warehouse Architectures

  • CUBEs, ROLLUPs, Materialized Views and Tables

  • Facts and Dimensional Modeling

  • Data Modeling using Star and Snowflake Schemas

  • Staging Areas for Data Warehouses

  • Verify Data Quality

  • Populating a Data Warehouse

  • Querying the Data

Module 3: Data Warehouse Analytics

  • Introduction to Analytics and Business Intelligence (BI) Tools

  • Cognos Analytics: Introduction and How to Sign Up

  • Navigating in Cognos Analytics

  • Creating a Simple Dashboard in Cognos

  • Advanced Capabilities in Cognos Analytics Dashboards

  • Accessing Your Warehouse with Cognos

Module 4: Final Assignment

¿Quién puede hacer este curso?

Lamentablemente, las personas residentes en uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.

Este curso es parte del programa Data Engineering Professional Certificate

Más información 
Instrucción por expertos
14 cursos de capacitación
1 año 2 meses
3 - 4 horas semanales

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