All posts by Mia Heard

AWS re:Invent 2023 Amazon Redshift Sessions Recap

Post Syndicated from Mia Heard original https://aws.amazon.com/blogs/big-data/aws-reinvent-2023-amazon-redshift-sessions-recap/

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Customers use Amazon Redshift as a key component of their data architecture to drive use cases from typical dashboarding to self-service analytics, real-time analytics, machine learning (ML), data sharing and monetization, and more.

This year’s AWS re:Invent conference, held in Las Vegas from November 27 through December 1, showcased the advancements of Amazon Redshift to help you further accelerate your journey towards modernizing your cloud analytics environments. To learn more about the latest and greatest advancements and how customers are powering data-driven decision-making using Amazon Redshift, watch the re:Invent sessions available on demand listed in this post.

Keynotes

Adam Selipsky, Chief Executive Officer of Amazon Web Services

Watch Adam Selipsky, CEO of Amazon Web Services, as he shares his perspective on cloud transformation. He highlights innovations in data, infrastructure, and artificial intelligence and machine learning that are helping AWS customers achieve their goals faster, mine untapped potential, and create a better future. Learn more about the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift.

Swami Sivasubramanian, Vice President of AWS Data and Machine Learning

Watch Swami Sivasubramanian, Vice President of Data and AI at AWS, to discover how you can use your company data to build differentiated generative AI applications and accelerate productivity for employees across your organization. Learn more about these new generative AI features to increase productivity including Amazon Q generative SQL in Amazon Redshift.

Peter DeSantis, Senior Vice President of AWS Utility Computing

Watch Peter DeSantis, Senior Vice President of AWS Utility Computing, as he deep dives into the engineering that powers AWS services. Get a closer look at how scaling for data warehousing works in AWS with the latest introduction of AI driven scaling and optimizations in Amazon Redshift Serverless to enable better price-performance for your workloads.

Innovation Talks

Data drives transformation: Data foundations with AWS analytics with G2 Krishnamoorthy, Vice President of AWS Analytics

G2’s session discusses strategies for embedding analytics into your applications and ideas for building a data foundation that supports your business initiatives. With new capabilities for self-service and straightforward builder experiences, you can democratize data access for line of business users, analysts, scientists, and engineers. Hear also from Adidas, GlobalFoundries, and University of California, Irvine.

Sessions

ANT203 | What’s new in Amazon Redshift

Watch this session to learn about the newest innovations within Amazon Redshift—the petabyte-scale AWS Cloud data warehousing solution. Amazon Redshift empowers users to extract powerful insights by securely and cost-effectively analyzing data across data warehouses, operational databases, data lakes, third-party data stores, and streaming sources using zero-ETL approaches. Easily build and train machine learning models using SQL within Amazon Redshift to generate predictive analytics and propel data-driven decision-making. Learn about Amazon Redshift’s newest functionality to increase reliability and speed to insights through near-real-time data access, ML, and more—all with impressive price-performance.

ANT322 | Modernize analytics by moving your data warehouse to Amazon Redshift

Watch this session to hear from AWS customers as they share their journeys moving to a modern cloud data warehouse and analytics with Amazon Redshift. Learn best practices for building powerful analytics and ML applications and operating at scale while keeping costs low.

ANT211 | Powering self-service & near real-time analytics with Amazon Redshift

To stay competitive, allowing data citizens across your organization to see near-real-time analytics without worrying about data infrastructure management is crucial for your business. In this session, learn how your data users can get to near-real-time insights on streaming data with Amazon Redshift and AWS streaming data services. Explore a solution using flexible querying tools and a serverless architecture, which brings intelligent automation and scaling capabilities, and maintains consistently high performance for even the most demanding and volatile workloads.

ANT325 | Amazon Redshift: A decade of innovation in cloud data warehousing

Exponential data growth has created unique challenges for data practitioners to manage data warehouses that can support high performance workloads at scale within cost constraints. Amazon Redshift has been constantly innovating over the last decade to give you a modern, massively parallel processing cloud data warehouse that delivers the best price-performance, ease of use, scalability, and reliability. In this session, learn about Amazon Redshift’s technical innovations including serverless, AI/ML-powered autonomics, and zero-ETL data integrations. Discover how you can use Amazon Redshift to build a data mesh architecture to analyze your data.

ANT326 | Set up a zero-ETL-based analytics architecture for your organizations

ETL (extract, transform, and load data) can be challenging, time-consuming, and costly. AWS is building a zero-ETL future with capabilities like streaming ingestion into the data warehouse, federated querying, and connectors that access data in place across databases, data lakes, and third-party data sources without data movement. In this session, learn how zero-ETL investments such as Amazon Aurora zero-ETL integration with Amazon Redshift drive direct integration between AWS data services to allow data engineers to focus on creating value from data instead of spending time and resources building pipelines.

ANT351 | [NEW LAUNCH] Multi-data warehouse writes through Amazon Redshift data sharing

Organizations want simple and secure ways for their teams to meet their ETL SLAs, optimize costs, and collaborate on live data. With multi-data warehouse writes available through Amazon Redshift data sharing, you can write to the same databases with multiple warehouses at the same time. Join this session to learn how you can keep your ETL jobs completing predictably and on time, collaborate on live data with multiple teams, and better optimize your costs with this newly launched capability.

ANT 352 | [NEW LAUNCH] Amazon Q generative SQL in Amazon Redshift Query Editor

SQL, the industry standard language for data analytics, often requires users to spend a lot of time understanding an organization’s complex metadata in order to write and carry out complex SQL queries for data insights. Join this session to learn how you can help SQL users of all skill levels within your organization derive insights faster with the new Amazon Q generative SQL capability in Amazon Redshift Query Editor. This session demonstrates how this functionality works and how to use text prompts in plain English to build effective queries, including complex multi-table join or nested queries.

ANT 354 | [NEW LAUNCH] AI-powered scaling and optimization for Amazon Redshift Serverless

Amazon Redshift Serverless makes it easier to run analytics workloads of any size without having to manage data warehouse infrastructure. Redshift Serverless helps developers, data scientists, and analysts work across various data sources to build reports, applications, machine learning models, and more. In this session, learn about Redshift Serverless new AI-driven scaling and optimization functionality. This new functionality proactively adapts to workload changes and applies tailored performance optimizations by intelligently predicting query patterns and using machine learning, increasing consistent price-performance.

SEC245 | Simplify and improve access control for your AWS analytics services

As organizations adopt new AWS services, end users need more access to data across a full range of AWS analytics services to extract value and insights. Data end users are accustomed to seamless authentication to their AWS applications, and cloud administrators want more granular, user-based access control over their data. Join this session to learn how to simplify and improve access control using a new AWS IAM Identity Center feature, known as trusted identity propagation, along with supported AWS analytics services. Also learn how to audit user and group-based access activity across interconnected AWS managed applications so that you can align better with regulatory and sovereignty requirements.

What’s new with Amazon Redshift

Want to learn more about the most recent features launched in Amazon Redshift? Refer to Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data to learn about all of the Amazon Redshift launch announcements made at 2023 AWS re:Invent

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About the Author

Mia Heard is a product marketing manager for Amazon Redshift, a fully managed, AI-powered cloud data warehouse with the best price-performance for analytic workloads.

Amazon QuickSight AWS re:Invent recap 2022

Post Syndicated from Mia Heard original https://aws.amazon.com/blogs/big-data/amazon-quicksight-aws-reinvent-recap-2022/

AWS re:Invent is a learning conference hosted by AWS for the global cloud computing community. Re:Invent was held at the end of 2022 in Las Vegas, Nevada, from November 28 to December 2.

Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. This post walks you through a full recap of QuickSight at this year’s re:Invent, including key launch announcements, sessions available virtually, and additional resources for continued learning.

Launch announcements

AWS Announces Five New Capabilities for Amazon QuickSight

This press release covers five new QuickSight capabilities to help you streamline business intelligence operations, using the most popular serverless BI service built for the cloud.

New analytical questions available in Amazon QuickSight Q: “Why” and “Forecast”

QuickSight announces support for two new question types that simplify and scale complex analytical tasks using natural language: “forecast” and “why.”

Announcing Automated Data Preparation for Amazon QuickSight Q

Automated data preparation utilizes machine learning (ML) to infer semantic information about data and adds it to datasets as metadata about the columns (fields), making it faster for you to prepare data in order to support natural language questions.

New Amazon QuickSight API Capabilities to Accelerate Your BI Transformation

New QuickSight API capabilities allow programmatic creation and management of dashboards, analysis, and templates.

Create and Share Operational Reports at Scale with Amazon QuickSight Paginated Reports

This feature allows you to create and share highly formatted, personalized reports containing business-critical data to hundreds of thousands of end-users—without any infrastructure setup or maintenance, up-front licensing, or long-term commitments.

Keynotes

Adam Selipsky, Chief Executive Officer of Amazon Web Services

Watch Adam Selipsky, Chief Executive Officer of Amazon Web Services, as he looks at the ways that forward-thinking builders are transforming industries and even our future, powered by AWS. He highlights innovations in data, infrastructure, and more that are helping customers achieve their goals faster, take advantage of untapped potential, and create a better future with AWS.

Swami Sivasubramanian, Vice President of AWS Data and Machine Learning

Watch Swami Sivasubramanian, Vice President of AWS Data and Machine Learning, as he reveals the latest AWS innovations that can help you transform your company’s data into meaningful insights and actions for your business. In this keynote, several speakers discuss the key components of a future-proof data strategy and how to empower your organization to drive the next wave of modern invention with data. Hear from leading AWS customers who are using data to bring new experiences to life for their customers.

Leadership sessions

Unlock the value of your data with AWS analytics

Data fuels digital transformation and drives effective business decisions. To survive in an ever-changing world, organizations are turning to data to derive insights, create new experiences, and reinvent themselves so they can remain relevant today and in the future. AWS offers analytics services that allow organizations to gain faster and deeper insights from all their data. In this session, G2 Krishnamoorthy, VP of AWS Analytics, addresses the current state of analytics on AWS, covers the latest service innovations around data, and highlights customer successes with AWS analytics. Also, learn from organizations like FINRA and more who have turned to AWS for their digital transformation journey.

Reinvent how you derive value from your data with Amazon QuickSight

In this session, learn how you can use AWS-native business analytics to provide your users with ML-powered interactive dashboards, natural language query (NLQ), and embedded analytics to provide insights to users at scale, when and where they need it. Watch this session to also learn more about how Amazon uses QuickSight internally.

Breakout sessions

What’s New with Amazon QuickSight?

This session covers all of QuickSight’s newly launched capabilities, including paginated reporting in the cloud, 1 billion rows of data with SPICE, assets as code, and new Amazon QuickSight Q capabilities, including ML-powered semantic inferencing, forecasting, new question types, and more.

Differentiate your apps with Amazon QuickSight embedded analytics

Watch this session to learn how to enable new monetization opportunities and grow your business with QuickSight embedded analytics. Discover how you can differentiate your end-user experience by embedding data visualizations, dashboards, and ML-powered natural language query into your applications at scale with no infrastructure to manage. Hear from customers Guardian Life and Showpad and learn more about their QuickSight use cases.

Migrate to cloud-native business analytics with Amazon QuickSight

Legacy BI systems can hurt agile decision-making in the modern organization, with expensive licensing, outdated capabilities, and expensive infrastructure management. In this session, discover how migrating your BI to the cloud with cloud-native, fully managed business analytics capabilities from QuickSight can help you overcome these challenges. Learn how you can use QuickSight’s interactive dashboards and reporting capabilities to provide insights to every user in the organization, lowering your costs and enabling better decision-making. Watch this session to also learn more about Siemens’s QuickSight use case.

Get clarity on your data in seconds with Amazon QuickSight Q

Amazon QuickSight Q is an ML–powered natural language capability that empowers business users to ask questions about all of their data using everyday business language and get answers in seconds. Q interprets questions to understand their intent and generates an answer instantly in the form of a visual without requiring authors to create graphics, dashboards, or analyses. In this session, the QuickSight Q team provides an overview and demonstration of Q in action. Watch this session to also learn more about NASDAQ’s QuickSight use case.

Optimize your AWS cost and usage with Cloud Intelligence Dashboards

Do your engineers know how much they’re spending? Do you have insight into the details of your cost and usage on AWS? Are you taking advantage of all your cost optimization opportunities? Attend this session to learn how organizations are using the Cloud Intelligence Dashboards to start their FinOps journeys and create cost-aware cultures within their organizations. Dive deep into specific use cases and learn how you can use these insights to drive and measure your cost optimization efforts. Discover how unit economics, resource-level visibility, and periodic spend updates make it possible for FinOps practitioners, developers, and business executives to come together to make smarter decisions. Watch this session to also learn more about Dolby laboratories’ QuickSight use case.

Useful resources

With the QuickSight re:Invent breakout session recordings and additional resources, we hope that you learn how to dive deeper into your data with QuickSight. For continued learning, check out more information and resources via our website.


About the author

Mia Heard is a product marketing manager for Amazon QuickSight, AWS’ cloud-native, fully managed BI service.

What’s new with Amazon QuickSight at AWS re:Invent 2022

Post Syndicated from Mia Heard original https://aws.amazon.com/blogs/big-data/whats-new-with-amazon-quicksight-at-aws-reinvent-2022/

AWS re:Invent is a learning conference hosted by AWS for the global cloud computing community. This year’s re:Invent will be held in Las Vegas, Nevada, from November 28 to December 2.

Amazon QuickSight is the most popular cloud-native serverless BI service. This post walks you through the details of all QuickSight-related sessions and activities to help you plan your conference week accordingly. These sessions should appeal to data and analytics teams, product and engineering teams, and line of business and technology leaders interested in modernizing their BI capabilities to transform data into actionable insights for all.

To access the session catalog and reserve your seat for one of our BI sessions, you must be registered for re:Invent. Register now!

Keynotes

Adam Selipsky, Chief Executive Officer of Amazon Web Services – Keynote

Tuesday November 29 | 8:30 AM – 10:30 AM PST | The Venetian

Join Adam Selipsky, Chief Executive Officer of Amazon Web Services, as he looks at the ways that forward-thinking builders are transforming industries and even our future, powered by AWS. He highlights innovations in data, infrastructure, and more that are helping customers achieve their goals faster, take advantage of untapped potential, and create a better future with AWS.

Swami Sivasubramanian, Vice President of AWS Data and Machine Learning – Keynote

Wednesday November 30 | 8:30 AM – 10:30 AM PST | The Venetian

Join Swami Sivasubramanian, Vice President of AWS Data and Machine Learning, as he reveals the latest AWS innovations that can help you transform your company’s data into meaningful insights and actions for your business. In this keynote, several speakers discuss the key components of a future-proof data strategy and how to empower your organization to drive the next wave of modern invention with data. Hear from leading AWS customers who are using data to bring new experiences to life for their customers.

Leadership sessions

ANT203-L (LVL 200) Unlock the value of your data with AWS analytics

Wednesday November 30 | 2:30 – 3:30 PM PST | The Venetian

Data fuels digital transformation and drives effective business decisions. To survive in an ever-changing world, organizations are turning to data to derive insights, create new experiences, and reinvent themselves so they can remain relevant today and in the future. AWS offers analytics services that allow organizations to gain faster and deeper insights from all their data. In this session, G2 Krishnamoorthy, VP of AWS Analytics, addresses the current state of analytics on AWS, covers the latest service innovations around data, and highlights customer successes with AWS analytics. Also, learn from organizations like FINRA and more who have turned to AWS for their digital transformation journey.
Reserve your seat now!

BSI201 (LVL 200) Reinvent how you derive value from your data with Amazon QuickSight

Tuesday November 29 | 2:00 PM – 3:00 PM PST | Mandalay Bay

In this session, learn how you can use AWS-native business analytics to provide your users with machine learning-powered interactive dashboards, natural language query (NLQ), and embedded analytics to provide insights to users at scale, when and where they need it. Join this session to also learn more about how Amazon uses QuickSight internally.
Reserve your seat now!

Breakout sessions

BSI202 (LVL 200) Migrate to cloud-native business analytics with Amazon QuickSight

Wednesday November 30 | 2:30 PM – 3:30 PM PST | Encore

Legacy BI systems can hurt agile decision-making in the modern organization, with expensive licensing, outdated capabilities, and expensive infrastructure management. In this session, discover how migrating your BI to the cloud with cloud-native, fully managed business analytics capabilities from QuickSight can help you overcome these challenges. Learn how you can use QuickSight’s interactive dashboards and reporting capabilities to provide insights to every user in the organization, lowering your costs and enabling better decision-making. Join this session to also learn more about Siemens QuickSight use case.
Reserve your seat now!

BSI207 (LVL 200) Get clarity on your data in seconds with Amazon QuickSight Q

Wednesday November 30 | 4:45 PM – 5:45 PM PST | MGM Grand

Amazon QuickSight Q is a machine learning–powered natural language capability that empowers business users to ask questions about all of their data using everyday business language and get answers in seconds. Q interprets questions to understand their intent and generates an answer instantly in the form of a visual without requiring authors to create graphics, dashboards, or analyses. In this session, the QuickSight Q team provides an overview and demonstration of Q in action. Join this session to also learn more about NASDAQ’s QuickSight use case.
Reserve your seat now!

BSI203 (LVL 200) Differentiate your apps with Amazon QuickSight embedded analytics

Thursday December 1 | 12:30 PM – 1:30 PM PST | Caesars Forum

In this session, learn how to enable new monetization opportunities and grow your business with QuickSight embedded analytics. Discover how you can differentiate your end-user experience by embedding data visualizations, dashboards, and ML-powered natural language query into your applications at scale with no infrastructure to manage. Join this session to also learn more about Guardian Life and Showpad’s QuickSight use case.
Reserve your seat now!

BSI304 (LVL 300) Optimize your AWS cost and usage with Cloud Intelligence Dashboards

Thursday December 1 | 3:30 PM – 4:30 PM PST | Encore

Do your engineers know how much they’re spending? Do you have insight into the details of your cost and usage on AWS? Are you taking advantage of all your cost optimization opportunities? Attend this session to learn how organizations are using the Cloud Intelligence Dashboards to start their FinOps journeys and create cost-aware cultures within their organizations. Dive deep into specific use cases and learn how you can use these insights to drive and measure your cost optimization efforts. Discover how unit economics, resource-level visibility, and periodic spend updates make it possible for FinOps practitioners, developers, and business executives to come together to make smarter decisions. Join this session to also learn more about Dolby laboratories’ QuickSight use case.
Reserve your seat now!

Chalk talks

BSI302 (LVL 300) Deploy your BI assets at scale to thousands with Amazon QuickSight

Tuesday November 29 | 11:45 AM – 12:45 AM PST | Wynn
As your user bases grow to hundreds or thousands of users, managing assets and user permissions at scale becomes increasingly important. In this chalk talk, learn about best practices for content development, promotion, authorization, organization, and cleanup to help ensure that your users are developing and sharing content in a safe and scalable manner.
Reserve your seat now!

BSI301 (LVL 300) Architecting multi-tenancy for your apps with Amazon QuickSight

Tuesday November 29 | 2:45 PM – 3:45 PM PST | Caesars Forum

Whether you are deploying QuickSight internally in a centrally managed single account or developing a SaaS application with multiple external tenants, it is paramount to focus on security and governance and to isolate tenants from each other. In this chalk talk, learn about different architectures and security frameworks that you can use to deploy QuickSight to thousands of departments or clients in a scalable and controlled manner.
Reserve your seat now!

*This session will also be repeated Wednesday November 30 | 7:45 PM – 8:45 PM PST | Wynn

BSI401 (LVL 400) Insightful dashboards through advanced calculations with QuickSight

Monday November 28 | 12:15 PM – 1:15 PM PST | MGM Grand
Loading data into various charting types is very rarely the end goal for your users. When they find interesting patterns or trends, they tend to dig deeper into their data and use calculations to surface more underlying insights. In this chalk talk, learn about various ways to build insightful and creative dashboards using QuickSight’s new advanced calculation capabilities, such as level-aware calculation and period functions.
Reserve your seat now!

Workshops

BSI205 (LVL 200) Build stunning customized dashboards with Amazon QuickSight

Monday November 28 | 10:45 AM – 12:45 PM PST | Wynn

Want to grow your dashboard building skills? In this workshop, the QuickSight team demonstrates the latest authoring functionality designed to empower you to build beautiful layouts and robust interactive experiences with other applications, right from within your dashboard. You must bring your laptop to participate.
Reserve your seat now!

*This session will be also be repeated Thursday December 1 | 11:45 AM – 1:45 PM PST | Caesars Forum

BSI303 (LVL 300) Seamlessly embed analytics into your apps with Amazon QuickSight
Wednesday November 30 | 5:30 PM – 7:30 PM PST | Wynn

In this workshop, learn how you can bring data insights to your internal teams and end customers by simply and seamlessly embedding rich, interactive data visualizations and dashboards into your web applications and portals. You must bring your laptop to participate.
Reserve your seat now!

Partner session

PEX307 (LVL 300) Migrating business intelligence systems to Amazon QuickSight

Wednesday November 30 | 9:15 AM – 10:15 AM PST | Encore

QuickSight is a scalable, serverless, embeddable, machine learning–powered BI tool built for the cloud. If you’re building a cloud-native BI solution and are unsure how to migrate on AWS, this session is for you. Dive deep into BI best practices, tools, and methodologies for migrating BI dashboards to QuickSight, and learn how to use APIs and the AWS CLI to automate common migration tasks required to perform BI dashboard migration. This session is intended for AWS Partners.
Reserve your seat now!

Additional activities

Business Intelligence kiosk in the AWS Village

Visit the Business Intelligence kiosk within the AWS Village to meet with experts to dive deeper into QuickSight capabilities such as Q and embedded analytics. You will be able to ask our experts questions and experience live demos for our newly launched capabilities.

Free QuickSight swag

Make sure to stop by the swag distribution table to grab free QuickSight swag if you have attended either the Business Intelligence kiosk or one of our breakout sessions, chalk talks, or workshops.

Useful resources

Whether you plan on attending re:Invent in person or view available content virtually, you can always learn more about QuickSight through these helpful resources:

QuickSight Community Hub – Ask, answer, and learn with others in the QuickSight Community.

QuickSight YouTube channel – Subscribe to stay up to date on the latest QuickSight workshops, how tos, and demo videos.

QuickSight DemoCentral – Experience QuickSight first-hand through interactive dashboards and demos


About the authors

Mia Heard is a Product Marketing Manager for Amazon QuickSight, AWS’ cloud-native, fully managed BI service.

Top Amazon QuickSight features and updates launched Q1 2022

Post Syndicated from Mia Heard original https://aws.amazon.com/blogs/big-data/top-amazon-quicksight-features-and-updates-launched-q1-2022/

Amazon QuickSight is a serverless, cloud-based business intelligence (BI) service that brings data insights to your teams and end users through machine learning (ML) powered dashboards and data visualizations, which can be access via QuickSight or embedded in apps and portals that your users access. This post shares the top QuickSight features and updates launched in Q1 2022.

Amazon QuickSight Community

In the new Amazon QuickSight Community, you can ask and answer questions, network with and learn from other BI users from across the globe, access learning content, and stay up to date with what’s new on QuickSight all in one place!

Join the global QuickSight Community today!

Groups Management UI

QuickSight now provides a user interface to manage user groups, allowing admins to efficiently and easily manage user groups via the QuickSight admin console. Groups Management UI is available to administrators with access to QuickSight admin console pages via AWS Identity and Access Management (IAM) credentials.

To learn more, see Creating and managing groups in Amazon QuickSight.

Comparative and cumulative date and time calculations

Amazon QuickSight authors can now quickly implement advanced date/time calculations without having to use complicated row offsets or pre-computed columns. You can add these calculations in regular business reporting, trend analysis, and time series analysis.

To learn more about the new period functions and their capabilities in various use cases, see Add comparative and cumulative date/time calculations in Amazon QuickSight.

Rich text formatting on visual titles and subtitles 

QuickSight authors can now add rich context to their visuals by choosing from various formatting options like font type, size, style, color and style. You can also better organize the text by choosing from various alignment and ordering options. Visual titles and subtitles now also support hyperlinks as well as parameter-based dynamic text.

To learn more, see Formatting a visual title and subtitle.

Custom subtotals at all levels on pivot table

QuickSight allows you to customize how subtotals are displayed in pivot tables, with options for display at multiple levels and for both rows and columns.

To learn more, see Displaying Totals and Subtotals.

Auto refresh direct query controls

QuickSight now supports automatic refreshes of values displayed in drop-down, multi-select and other controls in dashboards that are in direct query mode. Values within controls are updated every 24 hours to ensure the data is automatically updated without any end-user intervention.

For further details, see Refreshing data in Amazon QuickSight.

Conclusion

QuickSight serves millions of dashboard views weekly, enabling data-driven decision-making in organizations of all sizes, including customers like the NFL, 3M, Accenture, and more.

To stay up to date on all things new with QuickSight, visit What’s New with Analytics!


About the Author

Mia Heard is a product marketing manager for Amazon QuickSight, AWS’ cloud-native, fully managed BI service.

Your guide to all things Amazon QuickSight at AWS re:Invent 2021

Post Syndicated from Mia Heard original https://aws.amazon.com/blogs/big-data/your-guide-to-all-things-amazon-quicksight-at-aws-reinvent-2021/

AWS re:Invent is a learning conference hosted by AWS for the global cloud computing community. This year’s re:Invent will be held in Las Vegas, NV from November 29th to December 3rd. Amazon QuickSight, a scalable, embeddable, ML-powered business intelligence (BI) service for the cloud will be represented at re:Invent within the Business Intelligence track through keynotes, breakout sessions, chalk talks, workshops, and other planned activities.

This post walks you through the details of all QuickSight related sessions and activities to help you plan your conference week accordingly. These sessions should appeal to anyone wanting to learn more about modernizing their BI capabilities and curating a more data driven culture including business decision makers, BI analysts, data scientists, app developers, and others! To access the session catalog and reserve your seat for one of our Business Intelligence sessions, you must be registered for re:Invent. Register now!

Keynotes

Swami Sivasubramanian – Vice President, Amazon Machine Learning – Keynote

Join Swami Sivasubramanian, Vice President, Amazon Machine Learning, on an exploration of what it takes to put data in action with an end to end data strategy including the latest news on databases, analytics, and machine learning.

Rahul Pathak – Vice President, Analytics – Leadership Session: Reinvent your business for the future with AWS Analytics 

The next wave of digital transformation will be data-driven, and organizations will have to reinvent themselves using data to make decisions quickly and gain faster and deeper insights to serve their customers. In this session, Rahul Pathak, VP of AWS Analytics, addresses the current state of analytics on AWS, focusing on the latest service innovations. Learn how you can put your data to work with the best of both data lakes and purpose-built data stores. Also, discover how AWS can help you build new experiences and reimagine old processes with a modern data architecture on AWS.

Breakout sessions 

BSI201 (LVL 200) – Self-service analytics for everyone with ML-powered Amazon QuickSight Q

In our increasingly fast-paced world, it is critical for companies to make data-driven business decisions quickly. In order to move fast, teams need the ability to answer business questions without relying on the time-consuming efforts of business intelligence (BI) teams. Amazon QuickSight Q is a machine learning-powered capability that uses natural language processing to answer business questions instantly in the form of a visual, without requiring authors to create visuals, dashboards, or analyses. In this session, the Amazon QuickSight team provides an overview of Q and guidance on how to get started with this new capability.

BSI202 (LVL 200) – Modernize your BI and reporting with Amazon QuickSight 

Organizations increasingly strive to improve data literacy for all their employees and reduce dependence on IT and data scientists while gaining efficiency by moving to the cloud. Existing business intelligence tools can limit business users’ insight into their data. They can also limit IT departments’ ability to provide self-service analytics in a secure, scalable, and cost-efficient way. Join this session to learn how customers have modernized their advanced analytics, self-service, and reporting needs by migrating to Amazon QuickSight. With QuickSight, you only pay for what you use and are not required to manage any infrastructure.

BSI203 (LVL 200) – Enhance your apps with Amazon QuickSight embedded analytics 

Empower your users by embedding business analytics capabilities directly into your application. Amazon QuickSight embedded analytics seamlessly integrate into your application and enable your users to perform advanced analytics with capabilities such as one-time, or ad hoc, analyses and machine learning-based insights, providing you with new ways of monetizing and differentiating your applications. Join this session to learn about QuickSight’s new capabilities for embedding rich data visualizations within SaaS applications that provide governance and data security. The session also shows how QuickSight can be easily connected to your choice of data services including Amazon RDS, Amazon Athena, Amazon S3, or Amazon Redshift.

Chalk talks 

BSI204 (LVL 200) – Authoring configuration for Amazon QuickSight Q

Amazon QuickSight Q is a machine learning-powered capability that uses natural language processing to instantly answer business questions about data. Q interprets questions to understand their intent and generates an answer instantly in the form of a visual, without requiring authors to create visuals, dashboards, or analyses. In this chalk talk, the Amazon QuickSight Q team provides an overview of Q and the different question types that are currently supported. Following the product demo, learn how to set up datasets to answer natural language questions from users.

BSI301 (LVL 300) – Advanced deployment options at scale with Amazon QuickSight

Amazon QuickSight is a scalable, serverless, embeddable, ML-powered BI service built for the cloud that you can use to deliver easy-to-understand insights to the people that you work with – wherever they are. In this chalk talk, learn about deployment methodologies and best practices around multi-tenancy, cross-account data connectivity, single sign-on, content migration, and automation, to give you confidence deploying into even the most sophisticated environments.

Workshops 

BSI302 (LVL 300) – Build stunning dashboards with Amazon QuickSight 

Want to grow your dashboard-building skills from beginner to advanced? In this workshop, the Amazon QuickSight team guides you through the latest authoring functionality, such as high-fidelity layouts, custom content, and advanced formatting. These features are designed to empower you to build beautiful layouts and robust interactive experiences with other applications, right from within your dashboard.

Additional activities

Demo: “Get answers on your data in seconds with Amazon QuickSight”

Join us in the demo theater on Tuesday November 30 at 3:00PM PST for an Amazon QuickSight Q deep dive demo.

Business Intelligence kiosk in the AWS Village

Visit the Business Intelligence kiosk within the AWS Village to meet with experts to dive deeper into QuickSight capabilities such as ML-powered Q and Embedded Analytics. You will be able to ask our experts questions and experience live demos for our newly launched capabilities.

Grab your QuickSight swag

Make sure to stop by the swag distribution table to grab free QuickSight swag. You must attend one of the breakout sessions, chalk talks, workshops, or visit our kiosk to obtain a swag voucher.

Other QuickSight related sessions 

LFS304 – Accelerate science by unifying data silos across the enterprise

When shifting to data-driven decision-making, customers—especially those in the life sciences—often struggle with the need to access data and free it from organizational silos or find it in other enterprises. In this workshop, learn how to build an effective data mesh platform on AWS to make data discoverable, secure, and interoperable. Free your data from silos and minimize unnecessary data movement. Utilizing AWS Glue, Amazon Athena, AWS Lake Formation, Amazon S3, Amazon QuickSight, and Amazon Neptune, bring together disparate data sources from across the enterprise. Use what you learn to build a scalable data mesh to serve as the foundation for any analytics and data science effort.

DEM066 – S –  Assess, plan & automate the transition from legacy BI to Amazon QuickSight (sponsored by Ironside)

Ironside’s Ascent suite, powered by AWS, enables a rapid, efficient, and successful way to build new analytics, explore AI, and migrate from legacy platforms to the cloud. Join this session to learn how to use Ironside’s AscentIQ offering for Amazon QuickSight to inventory, rationalize, and plan the migration of your existing reporting implementation; build the business case for your migration; refactor and automate generation of legacy report specifications; and accelerate functional validation of legacy content. This presentation is brought to you by Ironside, an AWS Partner.

COP311 –  Build your own customizable cost reporting dashboards

Get actionable insights to track your AWS cost and usage performance, drive cost-efficient consumption behavior in your organization, and make cost-aware architectural decisions. Join this workshop to learn how you can integrate AWS Cost and Usage Reports with Amazon QuickSight and build your own dashboards to visualize specific KPIs and savings opportunities that are meaningful to you and your business.

GPS306 – Data warehouse and business intelligence modernization

Amazon Redshift is a fast, fully managed, petabyte-scale, cloud-native analytics data warehouse. A large number of organizations are migrating their current data warehousing systems into Amazon Redshift to take advantage of better performance and scale, lower costs, the ease of use of a managed service, and data lake integration. Amazon QuickSight is a scalable, serverless, cloud-powered business intelligence (BI) service that makes it easy for you to publish insights through interactive BI dashboards. Join this workshop to learn and practice how to modernize and migrate legacy data warehouse systems to Amazon Redshift and how to migrate your BI dashboards to Amazon QuickSight.

ENT306 –  Outcome-oriented analytics for SAP on AWS

In this workshop, learn how to solve common business problems using native AWS services in conjunction with SAP applications. First in the workshop, build a data extraction layer from SAP. Then, prepare the data with AWS Glue DataBrew and use Amazon QuickSight to visualize, forecast, and use NLP for business process reporting.

AIM208 – S – Port of Vancouver: Improving supply chain visibility (sponsored by Deloitte)

As Canada’s largest port and the third-largest port in North America, the Port of Vancouver needed to overhaul its container examination process because it was a major source of challenges across the network. Join this session to learn how the Port of Vancouver used a blockchain application integrated with AWS Panorama to help identify and track containers, feed real-time data into the blockchain system, enable proper assignment of cost, and identify efficiency improvement opportunities. Discover how other AWS services, such as Amazon SageMaker, Amazon QuickSight, AWS IoT Core, and more, were also used to deliver the data and insights, while meeting privacy, security, and data residency requirements. This presentation is brought to you by Deloitte, an AWS Partner.

FSI203 –  State Farm: Enabling rapid deployment with risk automation

In this session, learn how State Farm streamlined deployment approval from months to minutes by implementing an automated, data-driven risk management process for all use cases leveraging AWS services. Approving deployments for production in financial services can often be a manual, opinion-based, and time-consuming process that frustrates developers, security teams, and executive leadership alike. State Farm’s solution not only notifies account administrators of potential compliance issues but also supports auto-remediation of these issues. It provides continuous, real-time testing and monitoring of controls, which accelerates service adoption for developers, delivers assurance to InfoSec professionals, and enables agile executive decision-making.

AIM317 –  Uncover insights from customer conversations with no ML expertise required

Understanding what your customers are saying is critical to your business, but navigating the technology needed to make sense of these conversations can be daunting. In this workshop, discover how to uncover valuable insights from your data using custom models that are tailored to your business needs—with no ML expertise required. Using a set of customer calls, learn how to boost transcription accuracy with Amazon Transcribe custom language models, extract insights with Amazon Comprehend custom entities, localize content with Amazon Translate Active Custom Translation, and create powerful visualizations with Amazon QuickSight.

Useful resources 

Whether you plan on attending re:Invent in person or virtually this year you can always learn more about QuickSight through these helpful resources:

QuickSight YouTube Channel
Subscribe to stay up to date on the latest QuickSight workshops, getting started tutorials, and demo videos.

QuickSight DemoCentral

Experience QuickSight first hand through interactive dashboards and demos.

QuickSight workshops

 Enhance your BI skills with self-paces QuickSight workshops.


About the Author

Mia Heard is a product marketing manager for Amazon QuickSight, AWS’ cloud-native, fully managed BI service.