Migrating from AWS or Azure to Google Cloud runtimes can feel like navigating a maze of complex services and dependencies. In this session, we’ll explore key considerations for migrating legacy applications, emphasizing the “why not modernize?” approach with a practice guide. We’ll share real-world examples of successful transformations. And we’ll go beyond theory with a live product demo that showcases migration tools, and a code assessment demo powered by Gemini that demonstrates how you can understand and modernize legacy code.

Learn how to simplify cloud migrations with real-world lessons from moving a client from AWS Batch to Google Cloud Batch. This session will cover key areas like translating batch job definitions, optimizing workflows for better performance, and integrating applications with the Google Cloud Batch API. Along the way, we’ll explore strategies to address client concerns and ensure a smooth transition. Whether you’re planning a similar move or just curious about the behind-the-scenes, this session will give you some practical insights.

L'infrastructure intelligente est un concept en évolution rapide qui exploite les technologies avancées pour optimiser la performance, la fiabilité et la sécurité des systèmes informatiques. En intégrant la maintenance prédictive, l'assistance intelligente et d'autres approches innovantes, les organisations peuvent améliorer la qualité de service de leur infrastructure, bénéficiant ainsi aux applications qui en dépendent. Dans cette session, nous étudierons des principes tels que AIOps, Agents autonomes, et autres, pour améliorer la fiabilité, la performance et la sécurité de notre infrastructure Cloud. Nous apprendrons également des fournisseurs de services Cloud (Azure, AWS) comment ils mettent en œuvre l'infrastructure intelligente dans le Cloud public, et comment nous pouvons tirer parti de leur expérience et de leurs technologies pour le bénéfice de nos applications.

L'infrastructure intelligente est un concept en évolution rapide qui exploite les technologies avancées pour optimiser la performance, la fiabilité et la sécurité des systèmes informatiques. En intégrant la maintenance prédictive, l'assistance intelligente et d'autres approches innovantes, les organisations peuvent améliorer la qualité de service de leur infrastructure Cloud.

Are you an Amazon Web Services (AWS) developer exploring Google Cloud for the first time, or looking to deepen your multi-cloud skills? Join us for a whirlwind tour exploring the ins and outs of Google Cloud, from resource and access management, to networking and SDKs. We’ll cover Google Cloud’s framework for hyperscaler migrations. Then, we will demonstrate migrating an AWS application to Google Kubernetes Engine (GKE) and Cloud SQL, including Database Migration Service (DMS), GKE cluster creation, container image migration, and CI/CD. You'll leave with a core understanding of how Google Cloud works, key similarities and differences with AWS, and resources to get started.

In this podcast episode, we talked with Eddy Zulkifly about From Supply Chain Management to Digital Warehousing and FinOps

About the Speaker: Eddy Zulkifly is a Staff Data Engineer at Kinaxis, building robust data platforms across Google Cloud, Azure, and AWS. With a decade of experience in data, he actively shares his expertise as a Mentor on ADPList and Teaching Assistant at Uplimit. Previously, he was a Senior Data Engineer at Home Depot, specializing in e-commerce and supply chain analytics. Currently pursuing a Master’s in Analytics at the Georgia Institute of Technology, Eddy is also passionate about open-source data projects and enjoys watching/exploring the analytics behind the Fantasy Premier League.

In this episode, we dive into the world of data engineering and FinOps with Eddy Zulkifly, Staff Data Engineer at Kinaxis. Eddy shares his unconventional career journey—from optimizing physical warehouses with Excel to building digital data platforms in the cloud.

🕒 TIMECODES 0:00 Eddy’s career journey: From supply chain to data engineering 8:18 Tools & learning: Excel, Docker, and transitioning to data engineering 21:57 Physical vs. digital warehousing: Analogies and key differences 31:40 Introduction to FinOps: Cloud cost optimization and vendor negotiations 40:18 Resources for FinOps: Certifications and the FinOps Foundation 45:12 Standardizing cloud cost reporting across AWS/GCP/Azure 50:04 Eddy’s master’s degree and closing thoughts

🔗 CONNECT WITH EDDY Twitter - https://x.com/eddarief Linkedin - https://www.linkedin.com/in/eddyzulkifly/ Github: https://github.com/eyzyly/eyzyly ADPList: https://adplist.org/mentors/eddy-zulkifly

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Your complete Guide to preparing for the AWS® Certified Data Engineer: Associate exam The AWS® Certified Data Engineer Study Guide is your one-stop resource for complete coverage of the challenging DEA-C01 Associate exam. This Sybex Study Guide covers 100% of the DEA-C01 objectives. Prepare for the exam faster and smarter with Sybex thanks to accurate content including, an assessment test that validates and measures exam readiness, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and retain what you’ve learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get ready for the AWS Certified Data Engineer exam – quickly and efficiently – with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Data Ingestion and Transformation Data Store Management Data Operations and Support Data Security and Governance ABOUT THE AWS DATA ENGINEER – ASSOCIATE CERTIFICATION The AWS Data Engineer – Associate certification validates skills and knowledge in core data-related Amazon Web Services. It recognizes your ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: • Interactive test bank with 5 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam. • 100 electronic flashcards to reinforce learning and last-minute prep before the exam • Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared

Send us a text Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. DataTopics Unpluggedis your go-to spot for relaxed discussions around tech, news, data, and society. Dive into conversations that should flow as smoothly as your morning coffee (but don’t), where industry insights meet laid-back banter. Whether you're a data aficionado or just someone curious about the digital age, pull up a chair, relax, and let's get into the heart of data—unplugged style! In this episode: OpenAI asks White House for AI regulation relief: OpenAI seeks federal-level AI policy exceptions in exchange for transparency. But is this a sign they’re losing momentum?Hot take: GPT-4.5 is a ‘nothing burger’: Is GPT-4.5 actually an upgrade, or just a well-marketed rerun?Claude 3.7 & Blowing €100 in Two Days: One of the hosts tests Claude extensively—and racks up a pricey bill. Was it worth it?OpenAI’s Deep Research: How does OpenAI’s new research tool compare to Perplexity?AI cracks superbug problem in two days: AI speeds up decades of scientific research—should we be impressed or concerned?European tech coalition demands ‘radical action’ on digital sovereignty: Big names like Airbus and Proton push for homegrown European tech.Migrating from AWS to a European cloud: A real-world case study on cutting costs by 62%—is it worth the trade-offs?Docs by the French government: A Notion alternative for open-source government collaboration.Why people hate note-taking apps: A deep dive into the frustrations with Notion, Obsidian, and alternatives.Model Context Protocol (MCP): How MCP is changing AI tool integrations—and why OpenAI isn’t on board (yet).OpenRouter.ai: The one-stop API for switching between AI models. Does it live up to the hype?OTDiamond.ai: A multi-LLM approach that picks the best model for your queries to balance cost and performance.Are you polite to AI?: Study finds most people say "please" to ChatGPT—good manners or fear of the AI uprising?AI refusing to do your work?: A hilarious case of an AI refusing to generate code because it "wants you to learn."And finally, a big announcement—DataTopics Unplugged is evolving! Stay tuned for an updated format and a fresh take on tech discussions. 

Hands-on workshop exploring how Pulumi allows provisioning AWS resources with Python, bridging application development and infrastructure management. Topics include using Python with Pulumi to provision AWS resources, Pulumi's programming model for deploying cloud architecture on AWS, and Pulumi's ecosystem across environments and cloud providers.

A live virtual instructor-led session designed for NetCom Learning and AWS clients. This master class covers DevOps patterns, practices, and tools required to develop, deploy, and maintain applications and services at high velocity on AWS. What you will learn: Introduction to DevOps; Understand the implementation of DevOps culture and techniques in the AWS Cloud; Basic understanding of Infrastructure Automation; Explore AWS CloudFormation template and its structure, parameters, stacks, updates, importing resources, and drift detection.

Get ready to dive into the world of DevOps & Cloud tech! This session will help you navigate the complex world of Cloud and DevOps with confidence. This session is ideal for new grads, career changers, and anyone feeling overwhelmed by the buzz around DevOps. We'll break down its core concepts, demystify the jargon, and explore how DevOps is essential for success in the ever-changing technology landscape, particularly in the emerging era of generative AI. A basic understanding of software development concepts is helpful, but enthusiasm to learn is most important.

Vishakha is a Senior Cloud Architect at Google Cloud Platform with over 8 years of DevOps and Cloud experience. Prior to Google, she was a DevOps engineer at AWS and a Subject Matter Expert (SME) for the IaC offering CloudFormation in the NorthAm region. She has experience in diverse domains including Financial Services, Retail, and Online Media. She primarily focuses on Infrastructure Architecture, Design & Automation (IaC), Public Cloud (AWS, GCP), Kubernetes/CNCF tools, Infrastructure Security & Compliance, CI/CD & GitOps, and MLOPS.

Speakers Andrew Burt, Greg Kurpiel (Hatch), Alain Guigui (HPE), and Mithun Mendon (Tata Consultancy Services) share their real-life Ignite use cases and tips.

Real-time e-commerce analytics with Apache Ignite on AWS.

Real-time e-commerce analytics using Apache Ignite on AWS.

90-minute interactive instructor-led workshop: gain hands-on experience with DeepSeek-R1 on AWS. Focus on fine-tuning DeepSeek distilled Llama models, building multi-model AI agents, and applying real-world AI use cases (financial services). Attendees will have access to pre-built solutions, self-help workshops, and technical Q&A with AWS AI experts.

Explore Generative AI and understand its key concepts, architecture, and tangible business use cases. This book will help you develop the skills needed to use SAP AI Core service features available in the SAP Business Technology Platform. You’ll examine large language model (LLM) concepts and gain the practical knowledge to unleash the best use of Gen AI. As you progress, you’ll learn how to get started with your own LLM models and work with Generative AI use cases. Additionally, you’ll see how to take advantage Amazon Bedrock stack using AWS SDK for ABAP. To fully leverage your knowledge, Generative AI with SAP and Amazon Bedrock offers practical step-by-step instructions for how to establish a cloud SAP BTP account model and create your first GenAIartifacts. This work is an important prerequisite for those who want to take full advantage of generative AI with SAP. What You Will Learn Master the concepts and terminology of artificial intelligence and GenAI Understand opportunities and impacts for different industries with GenAI Become familiar with SAP AI Core, Amazon Bedrock, AWS SDK for ABAP and develop your firsts GenAI projects Accelerate your development skills Gain more productivity and time implementing GenAI use cases Who this Book Is For Anyone who wants to learn about Generative AI for Enterprise and SAP practitioners who want to take advantage of AI within the SAP ecosystem to support their systems and workflows.

It’s time for another episode of the Data Engineering Central Podcast. In this episode, we cover … * AWS Lambda + DuckDB and Delta Lake (Polars, Daft, etc). * IAC - Long Live Terraform. * Databricks Data Quality with DQX. * Unity Catalog releases for DuckDB and Polars * Bespoke vs Managed Data Platforms * Delta Lake vs. Iceberg and UinFORM for a single table. Thanks for b…

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Design software pioneer Autodesk is transforming computer-aided design (CAD) by harnessing generative AI and Amazon Web Services (AWS). The company is developing advanced AI foundation models, like "Project Bernini," which can generate precise 2D and 3D geometric designs based on physical principles.

By utilizing AWS technologies such as Amazon DynamoDB, Elastic MapReduce (EMR), Amazon SageMaker, and Elastic Fabric Adapter, Autodesk has significantly enhanced its AI development process. These innovations have halved foundation model development time and increased AI productivity by 30%.

Learn more about AWS events: https://go.aws/events

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ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

reInvent2024 #AWSreInvent2024 #AWSEvents

In this keynote, the Rocket Companies CTO highlights how Amazon Web Services (AWS) generative AI, specifically through Amazon Bedrock, is revolutionizing the homeownership process by solving critical industry challenges. By harnessing a massive dataset of over 10 petabytes and developing cutting-edge AI tools like Rocket Assist, the company has automated time-consuming administrative tasks.

This innovation has freed up approximately 800,000 employee hours annually, allowing team members to concentrate on more meaningful client interactions. Through its strategic partnership with AWS, Rocket Companies has democratized AI innovation, empowering employees across the organization to develop custom AI applications and significantly enhance overall productivity.

Learn more about AWS events: https://go.aws/events

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

reInvent2024 #AWSreInvent2024 #AWSEvents

The AWS AI and Data Conference 2024 delivered practical insights on Generative AI, Machine Learning, and Data Analytics. Attendees learned how organizations are using these technologies to scale operations and meet customer needs. AWS experts and customers shared real-world applications across industries. The event covered the latest trends and best practices, including hands-on experience with AWS tools like Amazon Bedrock for AI development. Keynote speakers included Eddie Wilson (CEO, Ryanair), Martin Holste (CTO for Cloud and AI, Trellix), Rick Sears (GM, Amazon Athena, EMR, and Lake Formation, AWS), and Barry Morris (GM, Purpose Built Databases, AWS). Whether new to AI or seasoned professionals, participants gained actionable knowledge to drive innovation in their organizations.

Sign up now for the AWS AI an Data Conference 2025 and stay at the forefront of AI and data innovation: https://go.aws/4gNtNa6

Learn more about AWS events: https://go.aws/events

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSEvents #AWSAI #AWSDataConf #GenerativeAI #CloudInnovation #AmazonBedrock #AIforBusiness #DataDriven #MachineLearning #AWSEvents #TechInnovation