ADE: Applied Data Engineering | IT Training & Certification | Info Trek
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ADE: Applied Data Engineering


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RM 7200.00
  1. 5 Days
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  2. Certificate of Attendance available
  1. 5 Days
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ADE: Applied Data Engineering


By enrolling in this course, participants will be able to learn data engineering concepts, techniques, and applications such as data preparation, storage and warehousing, analysis, mining, and visualization.

Upon completion of this course, participants will be familiarized with all the relevant components of Big Data. Participants will also be able to perform data analysis, build real-time stream analytics, execute complex data management, build apps, and create visualization on top of data.


This course prepares participants for their data engineering journey by setting them on the path to becoming Data Scientists. To fully capitalize on this course, participants should preferably have some knowledge in Python, SQL, HTML or JavaScript.


This program will be conducted with interactive lectures, PowerPoint presentation, discussions, and practical exercise

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Module 1: Introduction to Big Data
Module 2: ETL/ELT Best Practices
Module 3: Managing Metadata
Module 4: Consolidating Multiple Data Sources
Module 5: Data Cleansing & Transformation
Module 6: Scheduling Data Refresh
Module 7: Introduction to Hadoop
Module 8: Ingesting Flat Files into Hadoop
Module 9: Integration between RDBMS & Hadoop
Module 10: Data Processing using Hive
Module 11: Interactive Query using Impala
Module 12: Processing Log Files
Module 13: Collecting External Data from the Internet
Module 14: Introduction to Spark
Module 15: Processing Data using Spark
Module 16: Querying Data in Spark
Module 17: Real-Time Data Processing using Spark Streaming
Module 18: Job Orchestration & Workflow using Oozie
Module 19: Troubleshooting an ETL Job
Module 20: Performance Optimization
Module 21: Developing Data Visualizations using D3.js
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