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Wed, Apr 26

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ON ZOOM

Milwaukee: Free Classes on simple path to Big Data & Cloud expertise

Location Online-Zoom https://us04web.zoom.us/j/87893240431?pwd=M0FWOVF2TkJOdDZNU21qa0d3MFFXZz09

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Milwaukee: Free Classes on simple path to Big Data & Cloud expertise
Milwaukee: Free Classes on simple path to Big Data & Cloud expertise

Time & Location

Apr 26, 2023, 5:30 PM – 6:30 PM

ON ZOOM

About the event

Multiple Dates Available

Register now for free ticket!

We recommend joining by laptop for better experience. All levels welcome.

You will find experience of this online class very real life like and in fact more attentive and personal.

Join Whatsapp group:

Please feel free to join our whatsapp group to share yours and learn others experiences in their Financial Freedom journey.

https://chat.whatsapp.com/BCySzFBLkFKJvUFGnpi7dq

Follow Youtube channel:

https://www.youtube.com/@bigdatacloudexperts

for all the videos on the Big Data and Cloud concepts as well as for all the zoom weekly sessions.

Details to be covered in the session

Importance of data analytics

What is Big Data

Complexities of Big Data

Cloud Computing

Cloud Platform providers

How Big data technologies and cloud platforms solve our modern day data problems

In-depth Concepts of Big data & Cloud

About Instructor:

Linkedin Profile: https://www.linkedin.com/in/kumar-gautam/

Senior technologist (17+ Years) with strong business acumen and technical experience in Big Data and cloud. A results-oriented, decisive leader in Big Data and Cloud space that combines an entrepreneurial spirit with corporate-refined execution in tech strategy

• Architect- Big Data and Cloud (AWS, Azure, Google Cloud) with 15+ years of professional experience in Analysis, Design, and Development of Enterprise grade Applications.

• Databricks Certified Developer – Apache Spark 2.x 2019

• AWS Solution Architect Certified 2018

• AWS Big Data Specialty Certified 2019

• Deep expertise in Spark and Hadoop ecosystem

• Experience of setting up the Enterprise Data Lake (cloud as well as on-premises) and deployment of Big Data solutions on servers ranging from 50 to 200.

• Previous experience in architecture-design, database-design, and performance management.

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