Speaker

Anurag Kale

Anurag Kale

AWS Data Hero, Cloud and Data Architect at Aurobay Sweden

Göteborg, Sweden

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I am a Cloud and Data Architect at Aurobay in Sweden and have been recognized as an AWS Data Hero. With over 10 years of experience in the IT industry, I have dedicated the last 7+ years to working extensively with Public cloud technologies. My passion lies in solving business challenges through innovative cloud solutions. In my approach to architecture, I prioritize understanding the business domain, which naturally led me to embrace Domain Driven Design principles. I am actively involved in the AWS community, having presented at notable events such as AWS Reinvent 2023, AWS Community Day Stockholm 2020 and AWS Summit Stockholm 2022/2023. Additionally, I lead the AWS User Group in Gothenburg.
I am committed to sharing my knowledge and experiences through mentoring, social media engagement, and speaking at technical conferences.

Area of Expertise

  • Information & Communications Technology

Topics

  • aws
  • AWS Databases
  • AWS Data
  • Cloud Native
  • DevOps & Automation
  • Software Design
  • software architecure
  • Agile Mindset
  • Agile software development
  • Agile Transformation
  • Digital Strategy
  • Digital Transformation
  • Cloud & DevOps
  • Cloud Architecture
  • Cloud Computing
  • Cloud & Infrastructure
  • Cloud Technology
  • Cloud Computig
  • Cloud Native Infrastructure
  • Database and Cloud
  • Cloud ML Platforms

Building a Serverless Data Lake Platform

This session shares lessons from building a Data Lake Platform using Serverless components in an enterprise setup. We will dig deeper into data lakes from 1st principles, socio technical challenges around adoption and various tradeoffs that were made during the design phase.

I will talk about my experience of building a data lake platform at Polestar cars.

The talk has 4 major parts
1. The business context - I will begin with the use case and cover the technological needs from the project.

2. Why we chose a data lake over other data paradigms? - Here I will explain why we choose a data lake to implement this platform. I will break down the data lake concept into it "logical" components and highlight services from AWS.

3. Architectural walkthrough of our solution
I will explain why we choose to make it into a platform and how the operational model changes with centralisation of this platform over decentralised data lakes.

4. Lessons learnt from the project.
I will talk about the friction we faced for adoption, challenges around data security and governance, training management to change their way of thinking to adopt this.

Key questions answered from the session as takeaways for the participants -

1. When to platform data lakes aka centralise vs decentralise?
2. How to ensure the data lakes remains usable?
3. How to enhance developer experience via self service mechanisms?
4. When should you use a data lake over other data products like data warehouse?

Building a mindset to embrace NoSQL Databases

In my experience of working as a consultant and then as an Architect in product company, I find a common pattern when it comes to database adoption. A lot of people coming to product companies with relational database experience, find it very difficult to adapt to the way DynamoDB works.

This talk distills down my experiences into actionable insights of up-skilling myself and a lot of colleagues with relational database background to successfully adopt DynamoDB.

This talk focuses on three main topics -
1. The way DynamoDB operates differently
2. The effects of this differences in data modelling
3. Some ways one can adapt their thinking to reap the best benefits from DynamoDB.

I will cover a little theory of DynamoDB, introduce Domain Driven Design as a tool to find access patterns for your use case, touch on the topics of microservices as the method of successful adoption of cloud and DynamoDB and finally then walk though an example where I take a Relational database schema and convert it into Single Table Design for DynamoDB

State of the Public Cloud - featuring AWS, GCP and Azure

In this two hour long session, the three largest cloud providers - AWS, GCP, and Azure - will present overviews of their respective cloud offerings. The focus of the session will be on providing attendees with a general understanding of the features and capabilities of each platform, as well as the potential benefits of using a cloud provider for their business or organization. The session will cover a range of topics, including compute, storage, containerized workloads, messaging, and database options. Attendees will have the opportunity to learn about the different cloud options available and to determine which one best fits their application needs.

Andreas Wänqvist, Tech Lead at Voyado
Will MC and guide us through the session.

Karl-Henrik Nilsson, Cloud Solution Architect at Microsoft
Will give you an overview of Azure's services.

Abdelfettah SGHIOUAR, Senior Cloud Developer Advocate at Google
Will show you how to run your apps safely and securely on the Google Cloud.

Anurag Kale, AWS Data Hero and Cloud Software Architect at Polestar
Will provide an overview of AWS's services.

Decomposing Data Architectures for Cloud

Data is leverage. Fast evolution of cloud is demanding data solutions that can keep up with its pace. In this talk, I will cover the modern data architectures that leverage the cloud and keeps up with the pace. I will cover various data paradigms like Data Lakes, Data LakeHouse, Data Mesh etc from 1st principles and walk through some sample implementations using AWS Serverless Services.

Come To Code 2024 Sessionize Event

September 2024 Pignola, Italy

AWS Community Day DACH 2023 Sessionize Event

September 2023 Munich, Germany

Data Saturday Oslo 2023 Sessionize Event

September 2023 Oslo, Norway

Stockholm TECH Show 2023 Sessionize Event

May 2023 Stockholm, Sweden

AWS Community Day DACH 2022 Sessionize Event

October 2022 Dresden, Germany

Anurag Kale

AWS Data Hero, Cloud and Data Architect at Aurobay Sweden

Göteborg, Sweden

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