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BI Foundations with SQL, ETL and Data Warehousing

BI Foundations with SQL, ETL and Data Warehousing

The job market for business intelligence (BI) analysts is expected to grow by23 percent from 2021 to 2031 (US Bureau of Labor Statistics). This IBM specialization gives you sought-after skills employers look for when recruiting for a BI analyst. BI analysts gather, clean, and analyze key business data to find patterns and insights that aid business decision-making. During this specialization, you’ll learn the basics of SQL, focusing on how to query relational databases using this popular and powerful language. You’ll use essential Linux commands to create basic shell scripts.

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  • الإنجليزية
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IBM Data Warehouse Engineer

IBM Data Warehouse Engineer

This Professional Certificate is intended to help you develop the job-ready skills and portfolio for an entry-level Business Intelligence (BI) or Data Warehousing Engineering position.

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  • الإنجليزية
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Cloud Composer: Copying BigQuery Tables Across Different Locations

Cloud Composer: Copying BigQuery Tables Across Different Locations

This is a self-paced lab that takes place in the Google Cloud console. In this advanced lab you will create and run an Apache Airflow workflow in Cloud Composer that exports tables from a BigQuery dataset located in Cloud Storage bucktes in the US to buckets in Europe, then import th0se tables to a BigQuery dataset in Europe.

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  • 1 ساعات
  • الإنجليزية
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ETL and Data Pipelines with Shell, Airflow and Kafka

ETL and Data Pipelines with Shell, Airflow and Kafka

Delve into the two different approaches to converting raw data into analytics-ready data. One approach is the Extract, Transform, Load (ETL) process. The other contrasting approach is the Extract, Load, and Transform (ELT) process. ETL processes apply to data warehouses and data marts. ELT processes apply to data lakes, where the data is transformed on demand by the requesting/calling application. In this course, you will learn about the different tools and techniques that are used with ETL and Data pipelines.

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  • 17 ساعات
  • الإنجليزية
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Orchestrating a TFX Pipeline with Airflow

Orchestrating a TFX Pipeline with Airflow

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll learn to create your own machine learning pipelines using TensorFlow Extended (TFX) and Apache Airflow as the orchestrator.

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  • Self Paced
  • 2 ساعات
  • الإنجليزية
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  • الباقة الإبتدائية @ AED 99 + VAT
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