ADE: Applied Data Engineering | IT Training & Certification | Info Trek
Respect Your Dreams
Follow through on your goals with courses

ADE: Applied Data Engineering

Location

Format What’s this?
Starting From
RM 7200.00
  1. 5 Day with 08 hours per day
  1. Mon 25 Oct 09:00 - Fri 29 Oct 17:00
  1. HRDF SBL Claimable
  2. Certificate of Attendance available
  1. 5 Days
  1. All of our private classes are customized to your organization's needs.
  2. Click on the button below to send us your details and you will be contacted shortly.
Request more information

Inquiry for: Myself    My Company

By providing your contact details, you agree to our Privacy Policy

 

 

 

Thank You

Our learning consultant will get back to you in 1 business day

ADE: Applied Data Engineering

WHAT YOU WILL LEARN

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.


AUDIENCE

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.

METHODOLOGY

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

Expand All

Modules

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
To Be Confirm

To Be Confirm

Read More

Course Reviews

No Remarks

0

0 Ratings