Data Engineer Training

  • icrunchdata Network
  • Frisco, TX, USA
  • May 23, 2020
Information Technology (IT)

Job Description

Data Engineer Training The topics that would be covered in this session include the basic knowledge and skills that an individual must possess before being trained on the core concepts of Data Enginering. Key Learning Outcomes At the end of the module, the trainees will be able to Evaluate the technological trends which have led to Data engineering. Appreciate the potential of Data engineering in transforming businesses and customer use cases Explain business applications of Data engineering including its use in analytics, marketing, retail, hospitality, consumer goods, etc. Topics Covered Evolution of Data Engineering technologies Characteristics of Data Engineering Azure Components,Azure SQL,Azure Data Factory,Azure Data Lake,Azure analysis ,ETL, BI Introduction to Data Science Engineering and how it helps in getting value out of Big Data Foundations for Data Engineering Systems File Systems, scalable computing, cloud computing and cloud service models Practical Activity Identify use cases within five various industries of your choice and elaborate on how Big Data Data Engineering analytics can be used to transform those use cases. Data EngineerETL Engineer The Data Engineer track would be your first preference if your current skill is Oracle, SAP, DB2, MySQL Experienced, Data Engineer, Database Expert, SQL Expert, TestersQuality Engineers with knowledge in SQL

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