Analytics, Redshift & Generative BI

Turn raw data into insights — and let AI write your queries.

16 sessions at the summit5 external resources

Overview

AWS's analytics stack spans Amazon Redshift (cloud data warehouse with serverless and zero-ETL options), Amazon Athena (serverless SQL on S3), Amazon EMR (managed Spark / Trino / Flink), AWS Glue (ETL), and Amazon QuickSight (BI with the Q natural-language assistant). Generative BI lets non-SQL users ask questions in plain English and get charts, summaries, and stories — democratizing data access across the business.

Key concepts

  1. Cloud data warehouses vs. data lakes vs. lakehouses
  2. Columnar storage and MPP query execution
  3. Federated queries — joining data across sources without ETL
  4. Materialized views and result caching for cost control
  5. Generative BI: NL2SQL, narrative summaries, auto-charts

Key AWS services

  • Amazon Redshift
  • Amazon Athena
  • Amazon EMR
  • Amazon QuickSight
  • AWS Glue

Learn more — curated resources

Hand-picked official docs, foundational papers, and the best community guides for going deeper on this topic.

Sessions on this topic

16 sessions from the Summit covered this topic. Each is a self-contained mini-lesson.

  1. ISV302Advanced

    Architecting Scalable AI Agents using Amazon Bedrock AgentCore

    Discover how to build powerful AI agents using Amazon Bedrock's suite of tools, with a focus on Amazon Bedrock AgentCore. This session explores how Parrot Analytics leveraged the modular components of Amazon Bedrock AgentCore and Amazon Nova foundational models to achieve 10x the processing speed of manual classification across 2M+ entities. We will dive into prompt and context engineering, knowledge bases, and observability for production agentic workloads.

  2. COP301Advanced

    Elevating your Agentic AI Observability

    Gain deep visibility into the performance and reliability of autonomous agents with Amazon CloudWatch. This session showcases how CloudWatch delivers endtoend observability for agentic AI workloadstracking decision quality, token efficiency, and workflow execution at scale. Explore prebuilt dashboards and advanced metrics that help you optimize agent performance, control operational costs, and maintain consistent behavior across complex intelligent systems. Walk away ready to implement productiongrade observability that ensures your AI agents operate reliably, make optimal decisions, and deliver measurable outcomes at scale.

  3. ISV303Advanced

    From hours to minutes: SafetyCulture's journey to 90% faster analytics

    Discover how SafetyCulture, the global workplace operations platform used by 70,000+ organizations, achieved a 90% reduction in daily data pipeline execution time while processing the same data volumes on Amazon Redshift. Join this session with SafetyCulture data engineering team to learn how their team transformed a complex, slow-running data warehouse into a high-performance, AI-ready analytics platform using modern lakehouse architecture principles.

  4. STP210Intermediate

    TeamForm's Generative Dashboards with Strands & Bedrock AgentCore

    Most teams are still piloting AI - TeamForm is shipping it. In this session, we show how we built enterprise and production-ready generative dashboards in weeks on AWS Bedrock and AgentCore, and how an AI-native operating model made that velocity possible. Learn what it actually takes to operationalise AI across product and engineering, not just prototype it.

  5. AIM204Intermediate

    Get to know Amazon Quick, your new agentic teammate

    Most of us spend more time hunting for information than using it. Amazon Quick changes that. It reaches across all your company's data — documents, databases, emails, Slack threads, dashboards, Jira tickets — and lets you search it, ask questions, and take action, all from one place. Available across web, mobile, Slack, and Microsoft tools with multi-model intelligence, Quick delivers consumer-grade AI with enterprise-grade security and governance. No vendor lock-in, no siloed copilots. Just one AI teammate that works wherever you do.

  6. DAT402Expert

    Deep dive into database integrations with AWS Zero-ETL

    Learn how AWS zero-ETL integrations eliminate complex data movement pipelines across multiple database engines, enabling data engineers, architects, and DBAs to reduce maintenance overhead while ensuring near real-time data availability for analytics and ML workloads. Examine the underlying architecture for supported zero-ETL integrations between Amazon Aurora, Amazon DynamoDB, and Amazon RDS sources to Amazon Redshift, Amazon SageMaker, and Amazon OpenSearch Service targets. Explore data movement options, tunable settings, and monitoring capabilities for ongoing data replicationall without traditional ETL complexity.

  7. TNC201Intermediate

    Explore the Agentic Capabilities of Amazon Quick Suite

    Discover the latest features of Amazon Quick Suite, a generative AI-powered business intelligence platform transforming organizational data workflows. Explore the newest capabilities including Quick Sight for interactive visualizations, Quick Flows for workflow creation, Quick Automate for intelligent automation, and Quick Research for comprehensive analysis. Learn how custom chat agents, knowledge spaces, and workplace extensions integrate seamlessly to enhance productivity through natural language interactions across your organization.

  8. STP302Advanced

    Unleash Live: Cloud-Powered Vision for Infrastructure

    What happens when live video meets AI and the scalability of AWS This session explores how Unleash live harnesses AWS to deliver real-time vision analytics, moving from ingestion to insight in milliseconds. We detail the architecture of cloud-native pipelines that process live streams at scale and apply custom computer vision models across the energy, security, and infrastructure sectors. By combining edge connectivity with AWSs elastic infrastructure, Unleash live transforms drone and CCTV feeds into actionable intelligence. Attendees will gain insights into key design decisions and learn how cloud-based AI optimises operations, reduces risk, and unlocks the speed that modern physical AI demands.

  9. DAT401Expert

    Real-Time DataLakes with Apache Iceberg, Amazon MSK, and Amazon S3

    Learn how to optimize Apache Iceberg data lakes on Amazon S3 for cost-effectiveness while enabling real-time analytics. This session explores S3 Tables deployments, focusing on streaming data from Apache Kafka via Amazon MSK into Iceberg format. Discover practical approaches for real-time table maintenance, metadata optimization for high-velocity writes, and data compaction strategies. Implement cost-effective retention policies using S3 Lifecycle configurations while maintaining sub-minute data freshness. See how MSK's native Iceberg integration eliminates pipeline overhead, reducing latency and operational costs. Gain actionable insights for balancing streaming performance with cost optimization at scale.

  10. DEV210Intermediate

    AI-Driven Incident Triage: From Slack Alert to Root Cause

    Modern AWS environments generate more alerts than teams can realistically investigate. This session demonstrates a proof-of-concept that transforms Slack alerts into automated investigation workflows using AI.Learn how to trigger parallel queries across CloudWatch, Amazon EKS, Prometheus, and deployment history when an alert fires — returning correlated summaries with probable causes and dashboard links directly in Slack.You'll leave understanding practical integration patterns for AI-assisted triage, telemetry hygiene requirements, and guardrails for safely introducing AI into production incident response. Discover how AI augments — rather than replaces — your existing observability stack, meaningfully reducing time-to-insight during incidents.

  11. DAT201Intermediate

    Scaling Data Analytics: Easygo's Modern Lakehouse Journey on AWS

    Discover how Melbourne-based Easygo, powering Stake and Kick.com, transformed their data analytics infrastructure to process over 600,000 daily transactions and tens of millions of streaming events. Learn about their implementation of a modern lakehouse architecture combining Amazon Aurora Zero-ETL integration with Amazon Redshift, Amazon Kinesis with AWS Glue streaming, and Apache Iceberg on Amazon S3. Results include 95% faster queries, 80% fewer ingestion incidents, 9 hours weekly maintenance savings, and accelerated global expansion. Explore practical strategies for building scalable, secure data foundations delivering near real-time analytics with robust governance across regulated markets.

  12. DAT303Advanced

    Explore whats new in data and AI governance with SageMaker Catalog

    Join this session to learn about the latest capabilities in Amazon SageMaker Catalog that help organizations govern data and AI more effectively. We will walk through new features that make it easier to discover, govern, and securely share structured and unstructured data, models, business intelligence dashboards, and applications. Youll hear how customers are using these capabilities to improve data discovery and access, streamline compliance, and support AI initiatives.

  13. SMB202Intermediate

    PMY Delivers Realtime Crowd Analytics at the F1 Australian Grand Prix

    Major events produce fragmented data across CCTV, sensors, ticketing, and venue systems. PMY Group will show how Optic, built on AWS, brings these sources together to create real-time crowd intelligence. Using the Australian Grand Prix as a case study, this session explores how operators gained live visibility into movement and congestion to support faster operational decisions. It also highlights how the same AWS foundation can support scalable analytics and broader unified data outcomes across venues and events.

  14. PRT111-SFoundational

    From Risk to Resilience - How Mimecast Works with AWS

    Human risk is a critical layer of any security strategy. Human risk management addresses how employee behaviorfrom accidental sharing to shadow AI usecreates organizational exposure. Discover how Mimecast, on AWS, helps identify risky behavior, protect critical data and account access, and support compliance. Real-world insights. Behavioural analytics. Adaptive controls. Measurable ROI.

  15. WPS301Advanced

    AWS for healthcare analytics: accelerating time to insights

    In today's data-driven healthcare landscape, organisations must rapidly transform diverse data sources into actionable insights that improve patient outcomes and accelerate operational efficiency. This session showcases how AWS' integrated analytics capabilities can deliver unmatched price-performance for every analytics workload, from data processing and SQL analytics to streaming and business intelligence. Through real-world healthcare examples, learn how AWS' built-in governance and scalability enable organisations to build secure, efficient analytics pipelines that accelerate time-to-insight. Ideal for data practitioners, IT decision-makers, and executives evaluating enterprise analytics platforms to drive their data-driven transformation.

  16. ISV211Intermediate

    Scaling Conversation Intelligence with Agentic AI on AWS

    Businesses capture millions of conversations daily, sales calls, support interactions and compliance discussions, yet most of this intelligence remains locked away. Standard dashboards and predefined reports cannot address every customer's unique questions. Dubber, a world leader in conversation capture and intelligence, built Insight Agent on AWS, enabling users to ask bespoke, natural language questions across conversations and structured data to receive context-aware answers in seconds. Learn how Dubber innovated from static dashboards to surfacing business value moments, and now to agentic AI that compresses time to value, making conversation intelligence accessible, scalable and viable.

Non-obvious insights

From the Playbook

One sharp, contrarian insight per session — the things teams don't think of unprompted.

Modular AgentCore decomposition lets you swap models per stage. Use a cheap model for triage ("is this even worth processing?"), a mid-tier for the bulk, and an expensive model only for ambiguous cases that fail confidence checks. Don't run uniform inference. The cost difference is 10×. ---ISV302 — Architecting Scalable AI Agents using Amazon Bedrock…
The metric most agentic systems should track and don't is *loop count* — how many tool calls per completed task. It's the canary for prompt regression, model drift, and broken tools. When loop count starts trending up week-over-week, something is wrong even if all your other metrics look fine. ---COP301 — Elevating your Agentic AI Observability
Most pipeline 90% wins come from *removing redundant computation* (the same aggregation computed three times across three pipelines), not from faster compute. Profile before re-platforming. You'll find that half the pipelines are doing the same work. ---ISV303 — From hours to minutes: SafetyCulture's journey to 90…
Generative dashboards work because you can drop the BI team's backlog. The hidden cost: someone needs to govern the *data model* the agent queries. That used to be the BI team's job. If you displace BI without replacing the governance, you get fast-but-wrong dashboards. Reassign the data modelling responsibility before you ship. ---STP210 — TeamForm's Generative Dashboards with Strands & Bedr…
Cross-corpus search exposes years of *permission-leak debt* you never knew existed. People had access to channels they should have been removed from; service accounts have read access to everything; old projects retain over-broad permissions. The agent will surface all of it. Plan for cleanup as a *deliberate* phase of rollout — pretending it's not there means it'll show up as a security incident. ---AIM204 — Get to know Amazon Quick, your new agentic teammate
The real value of unified event analytics is post-event, not live. The same data informs next year's layout, staffing, and pricing. Most teams build for live and then have to retrofit for the more valuable post-event use case. ---SMB202 — PMY Delivers Realtime Crowd Analytics at the F1 Aust…