• AWS Customer Enablement Exchange

    Mastering Serverless Datalake on AWS

    April 26th & 28th, 2023
    10:30 AM - 5:00 PM

AWS Customer Enablement Exchange

- Mastering Serverless Datalake on AWS

In the competitive business landscape, it has become crucial for organisations across various sectors to harness the power of data for driving insights and making informed decisions. To achieve this, a scalable, cost-effective, and efficient data lake architecture is essential. We are delighted to invite you to the first episode of our AWS MCC (Manufacturing, Consumer Retail and Conglomerates) Customer Enablement Exchange series where in we will dive deep into "setting up DataLake workloads through Serverless Architecture on AWS" workshop, specifically crafted to help you develop expertise in building a resilient, cloud-native, and future-proof serverless data lake on AWS.

During this interactive workshop, you will discover how to utilise AWS serverless services for constructing a SECURE, RESILIENT and SCALABLE data lake architecture. Our certified Amazon instructors will walk you through the use of AWS Kinesis for Real time Streaming Ingestion, Glue for ETL and Data Catalog management, Amazon S3 for data lake storage, Amazon Athena for Data Querying, and Amazon QuickSight for Data Visualisation. By leveraging these state-of-the-art tools, you can unlock your data's full potential and make strategic decisions for your businesses.

This immersive workshop is designed to offer hands-on experience in developing a serverless data lake, equipping you with the confidence and know-how to implement such a solution within your own organisation. Upon completion of this session, you will possess a thorough understanding of the AWS serverless data lake ecosystem and be ready to design and deploy your serverless data lake solution.

Join this Masterclass on "Setting up DataLake workloads through Serverless Architecture on AWS" and fast-track your path towards embracing a cloud-native, data-centric future!

This workshop series will be host by certified Amazon speakers, who will lead you through an experience that will equip you with the ability to setup your Data Lake & Analytics architecture on cloud in Serverless way and learn its implementation from day zero, and will also give you practical insights you can use to take the right decisions for your related cloud implementations in terms of Security, Resilience, Performance Efficiencies, Operational Excellence and Cost Optimisation.


Register Now

Who should attend?

We invite all our customer teams who want to equip themselves with the right knowledge and mindset for driving change. Whether you are from the Development Team for e.g. if you are a Data Engineer, Data Analyst, Data Visualisation Specialist, Developer working on Data related workloads or someone who is leading some of these teams for e.g. Team Lead or Head of IT, Head of Cloud Infra, Head of Data who shares a passion for using data to innovate and solve real customer problems, and achieve business results.

Here’s what this workshop has in store for you

  • Introduction to Serverless Data Lake at AWS.
  • Deep dive into Data Ingestion & Central Storage, Data Cataloging and ETL & Data Analytics & Visualisation utilising AWS services like Amazon Kinesis Data Firehose, Amazon Simple Storage Service (Amazon S3), AWS Glue, Amazon SageMaker, Amazon Athena, Amazon QuickSight, AWS Lambda, Amazon Cognito & AWS Lake Formation.
  • Hands-on Labs on Data Ingestion & Central Storage, Data Cataloging and ETL & Data Analytics & Visualisation.
  • Access to workshop on Using the Serverless Data Lake Framework till 24 hrs after the workshop for your off-session practice.

Why should you attend the program?

  • Get actionable insights into Serverless Data Lake on AWS.
  • Deep dive into how you can Optimise Costs, Improve Performance Efficiencies, Optimise Data Processing work flows, Utilise built-in security features of AWS serverless services for Data Protection and Implement Serverless Real Time Data Lake Analytics pipelines on cloud.
  • Learn from hands-on workshops.
  • Acquire ability to compare and choose scenario-based data offerings.
  • Learn from certified AWS cloud experts.
  • Network with your peers.
  • Get exciting prizes, goodies, and credits.

Locations

Click on cities to know more

Room Location (Floor etc.)
DEL17 06.319 AV/VC (25)
Room No
06.319

Room Location (Floor etc.)
BOM14 11.200 Training Room Combinable AV/VC (24)
Room No
11.200

Room Location (Floor etc.)
BLR18 11.202 Sng Tng Rm Casual AV/VC (42)
Room No
11.202

Room Location (Floor etc.)
MAA2 B Block 05.102 (40)
Room No
05.102

Room Location (Floor etc.)
PNQ16 07.100 Conference Room Combinable AV/VC (20 - Capacity)
Room No
07.100

Schedule

General Introduction - Meet & Greet

10:30 AM to 10:45 AM

Introduction to Serverless Data Lake at AWS

10:45 AM to 11:30 AM

Tea Break

11:30 AM to 11:45 PM

Data Ingestion & Central Storage

11:45 PM to 12:15 PM

Lab 1: Data Ingestion & Central Storage

12:15 PM to 01:00 PM

Lunch

01:00 PM to 01:45 PM

Data Cataloging and ETL

01:45 PM to 02:15 PM

Lab 2: Data Cataloging and ETL

02:15 PM to 03:15 PM

Break

03:15 PM to 03:30 PM

Data Analytics and Visualization

03:30 PM to 04:00 PM

Lab 3: Data Analytics & Visualization

04:00 PM to 04:45 PM

Conclusion/Feedback

04:45 PM to 05:00 PM

Expert Speakers

Deepak Dixit

Delhi

Shashi Shekhar

Delhi

Sangram Mohite

Mumbai

Ankush Agarwal

Mumbai

Pranshu Mishra

Bangalore

Pranesh PR

Bangalore

Madhav Pillutla

Chennai

Atul Dambalkar

Pune

Aditi Bhargava

Pune

Get Direction To The Venue

Select City

Address

AWS India, Godrej One, Pirojshanagar, Eastern Express Highway, Vikhroli, East Mumbai - 400079

Address

Amazon Development Centre Aquila Building Bagmane Constellation Business Park Ferns City, Doddanekkundi, Bengaluru, Karnataka 560048

Address

11th floor, Amazon Development Centre India Pvt Ltd, Ambience Tower,, Ambience Corporate Office Tower-II, Ambience island, sector-24, gurugram, delhi-122022

Address

Block B, 2nd floor, SP Infocity, Perungudi, Chennai, Tamil Nadu 600096

Address

AWS India, Floor 7, PNQ16 07.100 Conference Room WeWork, Futura, Magarpatta Rd, Kirtane Baugh, Hadapsar, Pune, Maharashtra 411028

Address

HYD11, AMAZON, CAPGEMINI CAMPUS, Jairaj, Rd Number 2, Financial District, Nanakaramguda, Telangana 500032

Don’t miss this incredible learning opportunity!
Register to reserve your spot today.