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Getting Started with Amazon QuickSight


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Amazon QuickSight is a fast, cloud-powered business intelligence (BI) service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. In this session, we demonstrate how you can point Amazon QuickSight to AWS data stores, flat files, or other third-party data sources and begin visualizing your data in minutes. We also introduce you to SPICE -  a Super-fast, Parallel, In-memory, Calculation Engine in Amazon QuickSight, which performs advanced calculations and render visualizations rapidly without requiring any additional infrastructure, SQL programming, or dimensional modeling, so you can seamlessly scale to hundreds of thousands of users and petabytes of data. Lastly, you will see how Amazon QuickSight provides you with smart visualizations and graphs that are optimized for your different data types, to ensure the most suitable and appropriate visualization to conduct your analysis, and how to share these visualization stories using the built-in collaboration tools.

Published in: Technology

Getting Started with Amazon QuickSight

  1. 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. April 19, 2016 Getting Started with Amazon QuickSight Greg Khairallah, Business Development Manager Wangechi Doble, Solutions Architect
  2. 2. What to expect from the session • Overview of big data and analytics strategy • Challenges our customers face in big data analytics • Amazon innovations • What’s next?
  3. 3. Many thousands of companies use AWS for big data
  4. 4. We start with the customer We take on the big challenges they have We innovate
  5. 5. We start with the customer… and innovate Customers told us… We created… Managing databases is painful and difficult SQL databases do not perform well at scale Hadoop is difficult to deploy and manage Data warehouses are complex, costly, and slow Commercial DBs are punitive and expensive Streaming data is difficult to capture and analyze  Amazon RDS  Amazon DynamoDB  Amazon EMR  Amazon Redshift  Amazon Aurora  Amazon Kinesis
  6. 6. AnalyzeStore Amazon Glacier Amazon S3 Amazon DynamoDB Amazon RDS/ Amazon Aurora AWS big data portfolio AWS Data Pipeline Amazon CloudSearch Amazon EMR Amazon EC2 Amazon Redshift Amazon Machine LearningAWS Import/Export AWS Direct Connect Collect Amazon Kinesis
  7. 7. AnalyzeStore Amazon Glacier Amazon S3 Amazon DynamoDB Amazon RDS/ Aurora AWS big data portfolio AWS Data Pipeline Amazon CloudSearch Amazon EMR Amazon EC2 Amazon Redshift Amazon Machine LearningAWS Import/Export AWS Direct Connect Collect Amazon Kinesis AWS Database Migration New Amazon Kinesis Firehose New Amazon Elasticsearch Amazon Kinesis Analytics New Amazon QuickSight New New
  8. 8. What are the big data challenges our customers face?
  9. 9. Lots of data Who are my top customers and what are they buying? Which devices are showing time for maintenance? What is my product profitability by region? Why is my most profitable region not growing? How much inventory do I have? Has my fraud account expense increased? How is my marketing campaign performing? How is my employee satisfaction trending? Lots and lots of questions Few insights
  10. 10. Old-guard BI Costs too much Pay $ million before seeing first analysis 3 year TCO $150 to $250 per user per month Takes too long Spend 6 to 12 months of consulting and software implementation time
  11. 11. Can’t handle NoSQL, streaming data Time Cost Pay $ millions for license and hardware Requires 6 to 12 months of consulting Slower performance at scale Doesn’t deliver fast query performance Extra $$ for mobile and sharing Extra $$ for IoT dashboards Old-guard BI
  12. 12. Freedom to get the real value out of the data you have
  13. 13. Introducing Amazon QuickSight
  14. 14. A fast, cloud-powered, BI service for 1/10 the cost of traditional BI software
  15. 15. $9 per user per month With 1 year commitment
  16. 16. Business user Sign-in First analysis in about 60 seconds
  17. 17. Business User QuickSight API Data prep Metadata SuggestionsConnectors SPICE Business User QuickSight UI Mobile devices Web browsers Partner BI products Amazon S3 Amazon Kinesis Amazon DynamoDB Amazon EMR Amazon Redshift Amazon RDSFiles Apps Direct connect JDBC/ODBC On-premises data
  18. 18. I have multiple datasets both on-premises and on AWS from different sources, and I need to make data available and enable access by using Amazon QuickSight. How do I do this?
  19. 19. 1. Data made available in “data lakes” using Amazon S3 or Amazon Redshift 2. Data access managed with bucket- or schema-level policies 3. Data enabled by using Amazon QuickSight
  20. 20. Amazon EMR or Apache Hadoop Log files, application API extracts On-premises data Amazon Redshift Amazon DynamoDB or EC2 based MongoDB, Cassandra Amazon S3 Data made available in data lakes QuickSight Mobile devices Web browsers Bucket- or schema-level permissions by user and data access needs Data access managed at the data lake Data enabled by user in data marts
  21. 21. Innovations • Easy exploration of AWS data • Fast insights with SPICE (Super-fast, Parallel, In-memory Calculation Engine) • Intuitive visualizations and transitions with AutoGraph • Native mobile experience • Secure sharing and collaboration through StoryBoards
  22. 22. How do I SPICE up my data?
  23. 23. Easy exploration of AWS data Securely discover and connect to AWS data Quickly explore AWS data sources • Relational databases • NoSQL databases • Amazon EMR, Amazon S3, files • Streaming data sources Easily import data from any table or file Automatic detection of data types
  24. 24. Fast insights with SPICE • Super-fast, Parallel, In-memory optimized Calculation Engine • 2x to 4x compression columnar data • Compiled queries with machine code generation • Rich calculations • SQL-like syntax • Very fast response time to queries • Fully managed—no hardware or software to license
  25. 25. Intuitive visualizations with AutoGraph • Automatic detection of data types • Optimal query generation • Appropriate graph type selection • Ability to customize the graph type • Very fast response
  26. 26. Native mobile experience • iOS, Android • Full experience on tablets • Consumption experience on smart phones • Very fast response
  27. 27. Tell a story with your data • Capture the critical snapshot of analysis • Build a sequence of analysis • Share it securely • Enable interactive exploration • Very fast response
  28. 28. Demo
  29. 29. Demo Overview Stocks/Tweets DB Amazon Redshift Dense Compute Node Cluster AmazonKinesis Firehose StockMarket FinancialData Tweets CustomScripts AmazonEC2 CustomApp AmazonEC2 Stocks CSV files Amazon S3 Visualization with Amazon QuickSight Tweets JSON files Amazon S3
  30. 30. Embeddable
  31. 31. Fast to get started Fast insights with SPICEEasily explore any AWS data Easy to use and share Effortless scale Low cost
  32. 32. Amazon QuickSight pricing Standard edition Enterprise edition Subscription Annual Monthly Annual Monthly Price per user per month $9 $12 $18 $24 SPICE Capacity (GB)* 10 10 10 10 Additional SPICE GB-month $0.25 $0.38 * Per user SPICE capacity is pooled across all users in an account. As an example, a customer with 100 user subscriptions will get 1,000 GB of SPICE capacity for the account.
  33. 33. Sign-in Register for the preview @
  34. 34. Thank You!