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AWS re:Invent 2024 - Migrating to Amazon Bedrock and accelerating gen AI app development (AIM203)

Hear from two AWS customers as they discuss their journey migrating to Amazon Bedrock and finding success in developing generative AI applications on AWS. Leaders from Forcura, a healthcare workflow management company headquartered in Jacksonville, Florida, share how they facilitate continuity of care and improve business performance for providers using automated workflows, collaboration, and analytics SaaS solutions. Additionally, leaders from Cencosud S.A., the largest retail company in Chile and second-largest in LATAM, discuss how they created an assistant to support their grocery customers' digital shopping journeys.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - AI-powered analytics with Amazon Redshift Serverless & data sharing (ANT328)

Amazon Redshift Serverless uses AI and ML to automatically provision and scale data warehouse capacity and deliver fast performance for demanding and unpredictable workloads. It delivers a first-class data sharing experience where you can isolate workloads and read from and write to the same Redshift databases to build multi-warehouse, data mesh architectures and simplify SQL analytics. Join this session to learn best practices and key considerations for data sharing and SQL analytics with Redshift Serverless to optimize price-performance for your most demanding analytics workloads.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - Scaling to new heights with Amazon Redshift multi-cluster architecture (ANT339)

AWS customers use Amazon Redshift to modernize their data analytics workloads and deliver insights for their businesses. Learn how to design your analytics system to scale with your business needs. Explore the different patterns of multi-cluster architectures and best practices to deploy them cost-effectively. Explore how GE Aerospace overcame challenges with its on-premises system by using a combination of architectural patterns to create an extensible design that met strict compliance and security requirements, achieved performance targets, and shared data across its enterprise.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

In this episode, host Jason Foster sits down with Osama Khan, Deputy Vice-Chancellor, Academic and Professor in Finance at Aston University, Birmingham.  Together, they explore how data is transforming the landscape of higher education, from revolutionising decision-making to navigating the challenges and opportunities brought about by AI.    Osama also shares insights into Aston University's pioneering initiatives, including programs designed to equip students with essential skills in AI, sustainability and future-focused competencies that prepare them for the evolving world.    *****      Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023, and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024.  

AWS re:Invent 2024 - Innovations in AWS analytics: Data processing (ANT346)

Join this session for an in-depth look at new capabilities to optimize data processing with AWS analytics services. Learn more about using Amazon EMR for scalable big data processing, AWS Glue for seamless data integration, Amazon Athena for powerful querying, and Amazon MWAA for supporting complex workflows. Whether you’re looking to improve performance, reduce costs, or streamline your data pipeline, this session provides valuable insights into the latest functionality and tools needed to enhance your data processing capabilities.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - Scale with self-service analytics on AWS (ANT334)

Self-service analytics empowers users to independently access, explore, and analyze data to accelerate decision-making. It’s a foundational step for organizations to democratize the use of data for business growth with easy-to-use, simple-to-understand, and quick-to-deliver tools. Interactive querying, SQL analytics, data preparation, data transformation, data workflow orchestration and search analytics are some of the key day-to-day functions that data users need from self-service solutions. Learn how AWS analytics services like Amazon Athena, AWS Glue, Amazon Redshift, Amazon Managed Workflows for Apache Airflow, and Amazon OpenSearch Service enable data-driven decision-making through self-serve analytics.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - [NEW LAUNCH] Amazon SageMaker Lakehouse: Accelerate analytics & AI (ANT354-NEW)

Data warehouses, data lakes, or both? Explore how Amazon SageMaker Lakehouse, a unified, open, and secure data lake house simplifies analytics and AI. This session unveils how SageMaker Lakehouse provides unified access to data across Amazon S3 data lakes, Amazon Redshift data warehouses, and third-party sources without altering your existing architecture. Learn how it breaks down data silos and opens your data estate with Apache Iceberg compatibility, offering flexibility to use preferred query engines and tools that accelerate your time to insights. Discover robust security features, including consistent fine-grained access controls, that help democratize data without compromises.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

The Data Science Handbook, 2nd Edition

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business situation, and deep understanding of the data itself. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. The focus of The Data Science Handbook is on practical applications and the ability to solve real problems, rather than theoretical formalisms that are rarely needed in practice. Among its key points are: An emphasis on software engineering and coding skills, which play a significant role in most real data science problems. Extensive sample code, detailed discussions of important libraries, and a solid grounding in core concepts from computer science (computer architecture, runtime complexity, and programming paradigms). A broad overview of important mathematical tools, including classical techniques in statistics, stochastic modeling, regression, numerical optimization, and more. Extensive tips about the practical realities of working as a data scientist, including understanding related jobs functions, project life cycles, and the varying roles of data science in an organization. Exactly the right amount of theory. A solid conceptual foundation is required for fitting the right model to a business problem, understanding a tool’s limitations, and reasoning about discoveries. Data science is a quickly evolving field, and this 2nd edition has been updated to reflect the latest developments, including the revolution in AI that has come from Large Language Models and the growth of ML Engineering as its own discipline. Much of data science has become a skillset that anybody can have, making this book not only for aspiring data scientists, but also for professionals in other fields who want to use analytics as a force multiplier in their organization.

AWS re:Invent 2024 - Modernize your data warehouse by moving to Amazon Redshift (ANT345)

Are you spending too much time on data warehouse management tasks like hardware provisioning, software patching, and performance tuning and not enough time building your applications and innovating with data? Tens of thousands of AWS customers rely on Amazon Redshift every day to run and scale analytics in seconds on all their data without managing data warehouse infrastructure. In this session, hear from AWS customers who share their journeys moving to a modern cloud data warehouse and analytics with Amazon Redshift. Learn best practices for building powerful analytics and machine learning applications and operating at scale while keeping costs low.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - Accelerate value from data: Migrating from batch to stream processing (ANT324)

Growing business needs for incorporating real-time insights into conventional use cases is pushing the data transformation envelope from batch processing to streaming. From gaming to clickstream to generative AI use cases, batch analytical workloads today want high throughput, low latency, and simplified ingestion mechanisms for real-time insights and visualizations. Join this session to hear from experts on how to successfully migrate from batch to stream processing using AWS streaming services that provide scalable integrations and real-time capabilities across services such as Amazon Redshift for real-time data warehousing analytics and ELT pipelines.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - Advanced data modeling for Amazon ElastiCache (DAT422)

This session delves into the intricacies of Amazon ElastiCache data modeling using the purpose-built Valkey data types to optimize application performance and scalability. Explore the use of strings, sets, sorted sets, hashes, bitmaps, and geospatial indexes to model complex relationships and solve use cases such as caching, session store, feature store, real-time analytics, geospatial applications, and rate limiters.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - Accelerate migrations using AWS DMS Schema Conversion with gen AI (DAT347-NEW)

Discover how AWS is reshaping database migrations with generative AI. AWS DMS now uses generative AI in Amazon Bedrock to improve automation of schema conversion, which reduces manual effort and accelerates migrations to fully managed services like Amazon Aurora and Amazon RDS. AWS DMS is a managed migration service that helps move your database and analytics workloads to AWS quickly, securely, and with minimal downtime and zero data loss. This session deep dives into the architectural decisions behind schema conversions with generative AI. Also see demos of this innovation in action.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - Build highly performant data solutions with serverless analytics (ANT335)

Data professionals are challenged to build solutions that can quickly scale, deliver cost-effective results, and support the needs of various data users. Learn how AWS makes it faster and easier to carry out a modern data strategy without having to manage infrastructure across databases, analytics, and AI/ML. In this session, see how serverless AWS analytics services make it easier to quickly build event-driven data pipelines and microservice architectures that can help you innovate at hyperscale.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - Operate and scale managed Apache Kafka and Apache Flink clusters (ANT342)

Enterprises use Apache Kafka and Apache Flink for an increasing number of mission-critical use cases, real-time analytics, application messaging, and machine learning. As this usage grows in size and scale, so does the criticality, scale, and cost of managing the Kafka and Flink clusters. Learn how AWS customers can achieve the same or higher availability and durability of their growing clusters, both at lower unit costs and with operational simplicity, with Amazon MSK and Amazon Managed Service for Apache Flink.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

AWS re:Invent 2024-Transform your data with Oracle Database@AWS, featuring State Street (DAT246-NEW)

Join this session to learn about Oracle Database@AWS, an offering that helps you easily and quickly migrate Oracle Exadata workloads to AWS with minimal changes, paving the path to modernize applications using the latest innovations in generative AI, machine learning, and analytics. Hear from State Street, one of the world’s leading providers of financial services, on how it plans to use Oracle Database@AWS to supercharge its migration to AWS, unify its data estates across Oracle and AWS, and modernize its applications. Discover other key benefits of Oracle Database@AWS, and learn how to get started.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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.

AWSreInvent #AWSreInvent2024

AI Engineering

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models. The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach. AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications. Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the process for developing an AI application, the challenges at each step, and approaches to address them Explore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work Examine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them Choose the right model, dataset, evaluation benchmarks, and metrics for your needs Chip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She's the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI. AI Engineering builds upon and is complementary to Designing Machine Learning Systems (O'Reilly).

Microsoft Fabric: what's new and what's next | BRK204

Microsoft Fabric is the unified, open, governed, and AI-powered analytics platform fueling your next wave of business innovation. We're excited to share a full slate of innovations with customers and partners, including the introduction of the first-in-category full SaaS databases in Fabric. Hear from the Fabric leadership team on the progress we’ve made, the new ground we’re breaking, and why we believe Fabric can accelerate your organization's transformation in the era of AI.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Amir Netz * Arun Ulagaratchagan

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK204 | English (US) | Data

MSIgnite

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Steven Tran went from tech support to analytics pro in just three months, and he's spilling the tea on how he made it happen. 💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator ⌚ TIMESTAMPS 00:37 Meet Steven Tran: From Tech Support to Data Analytics 02:30 Steven's Career Transformation Timeline 06:29 Financial and Career Growth 07:52 The Importance of Projects and Passion 16:57 The Importance of a Portfolio 18:34 Growing Your LinkedIn Presence 24:42 Interview Experiences and Job Success 🔗 CONNECT WITH STEVEN TRAN Connect on LinkedIn: https://www.linkedin.com/in/stephentran96 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

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We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Edge computing is poised to transform industries by bringing computation and data storage closer to the source of data generation. This shift unlocks new types of value creation with data & AI and allows for a privacy-first and deeply personalized use of AI on our devices. What will the edge computing transition look like? How do you ensure applications are edge-ready, and what is the role of AI in the transition?  Derek Collison is the founder and CEO at Synadia. He is an industry veteran, entrepreneur and pioneer in large-scale distributed systems and cloud computing. Derek founded Synadia Communications and Apcera, and has held executive positions at Google, VMware, and TIBCO Software. He is also an active angel investor and a technology futurist around Artificial Intelligence, Machine Learning, IOT and Cloud Computing. Justyna Bak is VP of Marketing at Synadia. Justyna is a versatile executive bridging Marketing, Sales and Product, a spark-plug for innovation at startups and Fortune 100 and a tech expert in Data Analytics and AI, AppDev and Networking. She is an astute influencer, panelist and presenter (Google, HBR) and a respected leader in Silicon Valley and Europe. In the episode, Richie, Derek, and Justyna explore the transition from cloud to edge computing, the benefits of reduced latency, real-time decision-making in industries like manufacturing and retail, the role of AI at the edge, and the future of edge-native applications, and much more. Links Mentioned in the Show: SynadiaConnect with Derek and JustynaCourse: Understanding Cloud ComputingRelated Episode: The Database is the Operating System with Mike Stonebraker, CTO & Co-Founder At DBOSRewatch sessions from RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business