Getting Started with Amazon QuickSight

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Garey Ross
5 years ago
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2 What to Expect from the Session Overview of Big Data & Analytics strategy Challenges our customers face in Big Data Analytics innovations Introduction to QuickSight Demo of QuickSight

3 Many thousands of companies use AWS for Big Data

4 We start with the customer We take on the big challenges they have We innovate

5 We start with the customer and innovate Customers told us We created Managing databases is painful & difficult SQL DBs do not perform well at scale Hadoop is difficult to deploy and manage DWs are complex, costly, and slow Commercial DBs are punitive & expensive Streaming data is difficult to capture & analyze RDS DynamoDB EMR Redshift Aurora Kinesis

6 AWS Big Data portfolio Collect Store Analyze AWS Direct Connect S3 RDS/ Aurora EMR EC2 AWS Import/Export Glacier DynamoDB Redshift Machine Learning Kinesis CloudSearch AWS Data Pipeline

7 AWS Big Data portfolio Collect Store Analyze AWS Direct Connect New S3 RDS/ Aurora EMR EC2 AWS Import/Export Kinesis Firehose Glacier DynamoDB New Redshift New Machine Learning New Kinesis New CloudSearch Elasticsearch QuickSight Kinesis Analytics AWS Database Migration AWS Data Pipeline

8 What are the Big Data challenges our customers face?

9 How is my marketing campaign performing? Why is my most profitable region not growing? Which devices are showing time for maintenance? Who are my top customers and what are they buying? Lots of data Lots and lots of questions Few insights How much inventory do I have? What is my product profitability by region? How is my employee satisfaction trending? Has my fraud account expense increased?

10 Old-guard BI Costs Too Much Takes Too Long Pay $ million before seeing first analysis 3 year TCO $150 to $250 per user per month Spend 6 to 12 months of consulting and SW implementation time

at scale Doesn t deliver fast query performance Requires 6 to 12

11 Old-guard BI Cost Extra $$ For IoT Dashboards Extra $$ For Mobile and Sharing Can t handle NoSQL, Streaming Data Slower performance at scale Doesn t deliver fast query performance Requires 6 to 12 months of consulting Pay $ millions for license and hardware Time

12 Freedom to get the real value out of the data you have

13 Introducing QuickSight

14 A fast, cloud-powered, BI service for 1/10 th the cost of traditional BI software

15 $9 per user per month With 1 year commitment

16 First analysis in about 60 seconds Sign-in Business user

17 Business User Business User Mobile Devices Web Browsers QuickSight UI Partner BI products QuickSight API Connectors Data Prep Metadata SPICE Suggestions Direct connect JDBC/ODBC Files Redshift RDS S3 Kinesis DynamoDB EMR Apps On premise Data

18 I have multiple data sets both on-premise and on AWS from different sources, and I need to make data available and enable access via QuickSight. How do I do this?

19 1. Data made available in Data Lakes using S3 or Redshift 2. Data access managed with bucket or schema level policies 3. Data enabled via QuickSight

MongoDB, Cassandra S3 Redshift Bucket or Schema level permissions by user and data

20 On prem data Data made available in data lakes Data-access managed at the data lake Data enabled by user in data marts EMR or Apache Hadoop DynamoDB or EC2 based MongoDB, Cassandra S3 Redshift Bucket or Schema level permissions by user and data access needs Mobile Devices QuickSight Web Browsers Log Files, Application API Extracts

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 How do I SPICE up my data?

24 Easy exploration of AWS data Securely discover and connect to AWS data Quickly explore AWS data sources Relational databases NoSQL databases EMR, S3, files Streaming data sources Easily import data from any table or file Automatic detection of data types

25 Fast insights with SPICE Super-fast, Parallel, In-memory optimized, Calculation Engine 2 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

26 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

27 Native mobile experience ios, Android Full experience on tablets Consumption experience on smart phones Very fast response

28 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

29 DEMO

30 Dashboard

31 Embeddable

32 Fast to get started Easily explore any AWS data Fast insights with SPICE Easy to use and share Effortless scale Low cost

33 QuickSight Pricing Standard Edition Enterprise Edition Subscription Annual Monthly Annual Monthly Price per user per month $9 $12 $18 $24 SPICE Capacity (GB)* 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.

34 Register for the aws.amazon.com/quicksight Sign-in

35 Thank You!

36 Demo slides

45 Spring Fitness promotion did very well for Yoga

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