Join us on October 22nd for the next edition of Serverless London Meetup. The event will be in person!

*** 🎫 Tickets

No Eventbrite tickets for this event but there is a hard limit for RSPV :)

*** 📍Location The event is hosted at the Spinks Office

The full address is: 3 Noble St, City of London, London EC2V 7EE

*** 🕚 Rough timings • 6:30 pm - 7:00 pm: Doors open with refreshments • 7:00 pm - 8:30 pm: Talks and Q&A • 8:30 pm onwards: Pub!

*** 📣 Speakers: Victoria Demina \| Software Engineer, AWS Community Builder Talk title: Your Serverless Application Is Fast, Your Third-Party Is Not! Description: Our serverless app scales effortlessly – but what happens when your third-party API lags behind? Payment processors, shipping providers, and external data sources don’t always scale at Lambda speed, leading to timeouts, stressed on-calls, and frustrated users.

Rajesh Kumar \|Technical Account Manager at Amazon Web Services (AWS) Talk title: Remove PII data from images using a fully serverless solution on AWS.

Sponsors ☁️ 💫 aleios We help startups disrupt and large organisations to remain competitive using the best of Cloud-Native, Serverless. Experts in delivery of highly scalable systems we connect people, liberate data and create innovation through technology.

🍷 Theodo Theodo are a team of 50+ agile web, mobile and software experts are based in Soho Square, London with offices in Paris and New York.

Over the last 10 years and across over 500 projects, we have partnered with non-technical founders to launch their first product, FTSE 100 companies to increase market share through launching internal startups & spearheading digital transformation initiatives, and SME CTOs to build and scale their technical teams.

Theodo projects start fast, and progress even faster, with our unique methodology combining agile, lean and DevOps allowing us to build more efficiently as the project progresses. We are experts at React Native, Serverless, React, Django/Python, Node.js and Symfony, with experience in many other frameworks.

# Building a Unified Medallion Architecture in Microsoft Fabric: From Raw Data to AI-Ready Insights

As data platforms evolve toward unified and intelligent ecosystems, the Medallion Architecture has emerged as a foundational design pattern for building scalable, governed, and AI-ready analytics environments. Microsoft Fabric brings this vision to life by seamlessly integrating ingestion, transformation, governance, and visualization within a single, end-to-end platform.

In this session, Rajesh Vayyala will share an architecture-driven perspective on how organizations can conceptualize and operationalize a Medallion Architecture in Microsoft Fabric. We will focus on the architectural blueprint, governance principles, and organizational strategies required to establish Bronze, Silver, and Gold layers that ensure data consistency, lineage, and trust across data domains. 🏗️

Attendees will gain practical insights into designing resilient data estates, aligning data architecture with business goals, and enabling self-service analytics and AI through Fabric’s semantic layer and Power BI integration.

## Learning Objective

By the end of this session, attendees will be able to: 🔹 Recognize the key principles of the Medallion Architecture and understand how it supports scalable, governed, and AI-ready data ecosystems. 🔹 Map organizational data flows into Bronze, Silver, and Gold layers within Microsoft Fabric using an architecture-driven approach rather than deep technical coding. 🔹 Apply governance best practices for metadata management, lineage, and schema evolution using Fabric’s unified data foundation (OneLake, Data Activator, and Dataflows Gen2). 🔹 Align performance and reusability goals with enterprise data strategy—ensuring consistent, high-quality data delivery across analytics and AI initiatives. 🔹 Leverage the semantic layer and Power BI integration in Fabric to enable self-service analytics and informed decision-making across business domains.

Session Level: Intermediate

Deliver flexible, scalable, and high-performance data storage that's perfect for AI and other modern applications with MongoDB 8.0 and MongoDB Atlas multi-cloud data platform. In MongoDB 8.0 in Action, Third Edition you'll find comprehensive coverage of the latest version of MongoDB 8.0 and the MongoDB Atlas multi-cloud data platform. Learn to utilize MongoDB’s flexible schema design for data modeling, scale applications effectively using advanced sharding features, integrate full-text and vector-based semantic search, and more. This totally revised new edition delivers engaging hands-on tutorials and examples that put MongoDB into action! In MongoDB 8.0 in Action, Third Edition you'll: Master new features in MongoDB 8.0 Create your first, free Atlas cluster using the Atlas CLI Design scalable NoSQL databases with effective data modeling techniques Master Vector Search for building GenAI-driven applications Utilize advanced search capabilities in MongoDB Atlas, including full-text search Build Event-Driven Applications with Atlas Stream Processing Deploy and manage MongoDB Atlas clusters both locally and in the cloud using the Atlas CLI Leverage the Atlas SQL interface for familiar SQL querying Use MongoDB Atlas Online Archive for efficient data management Establish robust security practices including encryption Master backup and restore strategies Optimize database performance and identify slow queries MongoDB 8.0 in Action, Third Edition offers a clear, easy-to-understand introduction to everything in MongoDB 8.0 and MongoDB Atlas—including new advanced features such as embedded config servers in sharded clusters, or moving an unsharded collection to a different shard. The book also covers Atlas stream processing, full text search, and vector search capabilities for generative AI applications. Each chapter is packed with tips, tricks, and practical examples you can quickly apply to your projects, whether you're brand new to MongoDB or looking to get up to speed with the latest version. About the Technology MongoDB is the database of choice for storing structured, semi-structured, and unstructured data like business documents and other text and image files. MongoDB 8.0 introduces a range of exciting new features—from sharding improvements that simplify the management of distributed data, to performance enhancements that stay resilient under heavy workloads. Plus, MongoDB Atlas brings vector search and full-text search features that support AI-powered applications. About the Book MongoDB 8.0 in Action, Third Edition you’ll learn how to take advantage of all the new features of MongoDB 8.0, including the powerful MongoDB Atlas multi-cloud data platform. You’ll start with the basics of setting up and managing a document database. Then, you’ll learn how to use MongoDB for AI-driven applications, implement advanced stream processing, and optimize performance with improved indexing and query handling. Hands-on projects like creating a RAG-based chatbot and building an aggregation pipeline mean you’ll really put MongoDB into action! What's Inside The new features in MongoDB 8.0 Get familiar with MongoDB’s Atlas cloud platform Utilizing sharding enhancements Using vector-based search technologies Full-text search capabilities for efficient text indexing and querying About the Reader For developers and DBAs of all levels. No prior experience with MongoDB required. About the Author Arek Borucki is a MongoDB Champion, certified MongoDB and MongoDB Atlas administrator with expertise in distributed systems, NoSQL databases, and Kubernetes. Quotes An excellent resource with real-world examples and best practices to design, optimize, and scale modern applications. - Advait Patel, Broadcom Essential MongoDB resource. Covers new features such as full-text search, vector search, AI, and RAG applications. - Juan Roy, Credit Suisse Reflects author’s practical experience and clear teaching style. It’s packed with real-world examples and up-to-date insights. - Rajesh Nair, MongoDB Champion & community leader This book will definitely make you a MongoDB star! - Vinicios Wentz, JP Morgan & Chase Co.

PBIBRUM - June meetup with PBI BRUM Q&A Panel and Rajesh Patel

17:45 - Welcome & networking

18:00 - Introductions

18:05 - Rajesh Patel: Quality Data at the Point of Decision Making: Building a Data Strategy at Scale

18:55 - Break. Free pizza and drinks

19:10 - Adam Betts, Rachel Wooldridge & Sarah Abnett: Q&A Panel

Come prepared with Power BI questions!

20:00 - Finish

Join this Hyperledger meetup to hear from several of the technical leaders working on and with Hyperledger projects.

Agenda and Speakers

• Introduction to Hyperledger and Why Open Source? (Hart Montgomery, CTO of the Hyperledger Foundation)
• Introduction and update on Besu for enterprise permissioned chains (Matthew Whitehead, Principal Engineer at Kaleido)
• Ethereum developer tooling (Conor Svensson, Founder and CEO of Web3 Labs)
• Rapid deployment of environments or easy prototyping (Rajesh Sinha, Founder of Launchnodes)

Join this Hyperledger meetup to hear from several of the technical leaders working on and with Hyperledger projects.

Agenda and Speakers

• Introduction to Hyperledger and Why Open Source? (Hart Montgomery, CTO of the Hyperledger Foundation)
• Introduction and update on Besu for enterprise permissioned chains (Matthew Whitehead, Principal Engineer at Kaleido)
• Ethereum developer tooling (Conor Svensson, Founder and CEO of Web3 Labs)
• Rapid deployment of environments or easy prototyping (Rajesh Sinha, Founder of Launchnodes)

Join an in person Hyperledger meetup to connect with other Hyperledger community members in the London area and to hear from several of the technical leaders working on and with Hyperledger projects. If you're unable to join in person, we will be livestreaming the presentations online.

Agenda and Speakers

• 5:00: Door open and networking
• 6:00: Presentations:
• Introduction to Hyperledger and Why Open Source? (Hart Montgomery, CTO of the Hyperledger Foundation)
• Introduction and update on Besu for enterprise permissioned chains (Matthew Whitehead, Principal Engineer at Kaleido)
• Ethereum developer tooling (Conor Svensson, Founder and CEO of Web3 Labs)
• Rapid deployment of environments or easy prototyping (Rajesh Sinha, Founder of Launchnodes)
• Networking until 8:00

Data quality is the most important attribute of a successful data platform that can accelerate data adoption and empower any organization with data-driven decisions. However, traditional profiling-based data quality and counts-based data quality and business rules-based data quality are outdated and not practical at the scale of petabyte-scaled data platforms where billions of rows get processed every day. In this talk, Sandhya Devineni and Rajesh Gundugollu will present a framework for using machine learning to detect data quality at scale in data products. The two data leaders at Asurion will highlight the lessons learned over years of crafting the advanced state of data quality using machine learning at scale, as well as discuss the pain points and blind spots of traditional data quality processes. After sharing lessons learned, the pair will dive into their implemented framework which can be utilized to improve the accuracy and reliability of data-driven decisions by identifying bad quality data records and revolutionizing how organiations approach data-driven decision making.

Amazon Redshift powers analytic cloud data warehouses worldwide, from startups to some of the largest enterprise data warehouses available today. This practical guide thoroughly examines this managed service and demonstrates how you can use it to extract value from your data immediately, rather than go through the heavy lifting required to run a typical data warehouse. Analytic specialists Rajesh Francis, Rajiv Gupta, and Milind Oke detail Amazon Redshift's underlying mechanisms and options to help you explore out-of-the box automation. Whether you're a data engineer who wants to learn the art of the possible or a DBA looking to take advantage of machine learning-based auto-tuning, this book helps you get the most value from Amazon Redshift. By understanding Amazon Redshift features, you'll achieve excellent analytic performance at the best price, with the least effort. This book helps you: Build a cloud data strategy around Amazon Redshift as foundational data warehouse Get started with Amazon Redshift with simple-to-use data models and design best practices Understand how and when to use Redshift Serverless and Redshift provisioned clusters Take advantage of auto-tuning options inherent in Amazon Redshift and understand manual tuning options Transform your data platform for predictive analytics using Redshift ML and break silos using data sharing Learn best practices for security, monitoring, resilience, and disaster recovery Leverage Amazon Redshift integration with other AWS services to unlock additional value

WHEN:

Wednesday, June 28, 2023, 1900 GMT

DESCRIPTION of TALK

Azure SQL High Availability and Resilience for Applications

Modern applications need databases with high availability and extreme resilience. You can build the most resilient databases with highest availability using the latest capabilities of Azure SQL in zone redundancy, geo replication, maintenance window management and Azure SQL Insights. We will take you on a journey through the deep dive of architectures and configurations that will help you get the right level of availability and resilience your databases need.

ABOUT THE SPEAKER

Rajesh Setlem Microsoft, Senior Program Manager

Rajesh is a data professional working with SQL Server for over a decade and in the past few years worked on Azure SQL offerings. Currently working as Senior Program Manager based out of Redmond, in Azure SQL engineering group focusing on SQL DB High Availability.