“ETL (Extract-Transform-Load) processes are an essential component of any data
analytics program .Data Analytics are mostly revolving around ETL
We offer the best online classes to help you learn Data Warehousing and Data bases
you will be equipped to move and transform data from many different sources and load
it into various targets
you will learn about data tools for batch processing, querying, streaming, and machine learning
Training is offered as lab sessions for better understanding purpose.Trainees can work alongside for better knowledge and easy grasp
This course comes with Quiz session to asses your depth of knowledge and also assignments are provided to asses your rank in the domain”
- Learn about batch processing, querying, streaming, and machine learning using SPARK.
- Extract data from a website using web scraping.
- Create visual representation of data.
- Learn Scheduling Using ETL Cloud Compute – Cron Scheduler.
- you can work with multiple Operating Systems without the need for a separate hardware for each OS by learning VM Setup and Environment Development.
What is the target audience?
- Anyone who is intrested in Data Visualization, Data Warehousing.
- Anyone who seeks to be an
Scientist,DataAnalyst and more.
About the Instructors
Our instructors and mentors are global industry experts from various business sectors and experience levels thus resourceful to every type of student being a recent college grad looking to start his career or lateral candidates looking to switch over a new career. The Experts are geographically located across Canada, USA and India imparting global experience and culture as part of the Bootcamp. You will acquire professional skills ranging from corporate work etiquette, global business exposure, deep subject expertise and hands-on experience to become a day-1 job-ready professional.”
ET_CH_1001 - Session 1
ET_CH_1002 - Session 2
ET_CH_1003 - Session 3
ET_CH_1003 - Session 4
ET_CH_1003 - Session 5
ET_CH_1003 - Session 6
ET_CH_1003 - Session 7
ET_CH_1003 - Session 8
ET_CH_1004 - Session 9
ET_CH_1005 - Session 9
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