SlideShare a Scribd company logo
1 of 29
©  2016,  Amazon  Web  Services,  Inc.  or  its  Affiliates.  All  rights  reserved.
David  McAmis,  Big  Data  &  Analytics  Consultant
Amazon  Web  Services
Creating  a  Data-­Driven  Culture  with  
Amazon  QuickSight
Technical  201
95%  of  the  1.2  zettabytes
of  data  in  the  digital  
universe  is  unstructured
70%  of  this  is  user-­
generated  content  
Unstructured  data  growth  
explosive,  with  estimates  
of  compound  annual  
growth  (CAGR)  at  62%  
from  2008  – 2012.  
Source:  IDC
GB TB
PB
ZB
EB
Unconstrained  Data  Growth
Gartner:   User  Survey  Analysis:   Key  Trends  Shaping   the  Future   of  Data  Center  Infrastructure   Through   2011  
IDC:  Worldwide  Business   Analytics  Software   2012–2016   Forecast  and   2011   Vendor   Shares  
Available  for  Analysis
Generated  Data
Data  Volume  -­ Gap
1990 2000 2010 2020
Availability  is  a  Major  Issue
Moving  from  what  we  THINK
to  
What  we  KNOW
Data  Drive  Culture
Data  Drive  Culture
Data  is  an  
Asset
Data  is  
Accessible
Fact-­Based  
Decision  Process
Data  is  an  Asset
Data  is  an  
Asset
• Valuable
• Registered
• Tracked
• Maintained
• Accessible
• Retired
Data  is  Accessible
Data  is
Accessible
• Centralised Data  Store
• Data  Catalogue
• Ability  to  Easily  Explore  Data
• Automated  Provisioning
• Automated  Access  Control
• Accessible  by  a  Wide  Range  of  
Tools/Technologies
Fact-­Based  
Decision  Process
Fact-­Based  Decision  Process
• Define  the  Problem
• Obtain  Relevant  Data
• Analyse and  Share  Data
• Make  a  Decision
• Evaluate  the  Results
What  is  Amazon  QuickSight?
Very  Fast
Cloud-­Powered
BI  Service  for  1/10th the  Cost  
Traditional  BI  Software
Amazon  QuickSight
$9  
per  User  per  Month
With  1  Year  Commitment
Business  User
Sign-­in
First  Analysis  in  About  60  Seconds
Data  Prep Metadata SuggestionsConnectors SPICE
QuickSight  API
Business  User
QuickSight  UI
Mobile  Devices Web   Browsers
Partner  BI  products
Amazon
S3
Amazon  
Kinesis
Amazon  
DynamoDB  
Amazon  
EMR
Amazon  
Redshift
Amazon   RDSFiles Third-­party
Innovations
Easy  Exploration  of  AWS  Data
Fast  Insights  with  SPICE  
Intuitive  Visualisations and  Transitions  (AutoGraph)
Native  Mobile  Experience  (iOS/Android)
Secure  Sharing  and  Collaboration  (Stories)
How  do  I  SPICE  up  my  Data?
Easy  Exploration  of  AWS  Data
• Securely  Discover  and  Connect  to  AWS  Data  
• Quickly  Explore  AWS  Data  Sources
• Relational  databases  (Amazon  RDS,  Amazon  RDS  for  
Aurora,  Amazon  Redshift)
• NoSQL  databases  (Amazon  DynamoDB)
• Amazon  EMR,  Amazon  S3,  files  (CSV,  Excel,  TSV,  
XLF,  CLF)
• Streaming  data  sources  (Amazon  DynamoDB,  
Amazon  Kinesis)
• Easily  Import  Data  from  any  Table  or  File  
• Automatic  Detection  of  Data  Types
Fast  Insights  With  SPICE
• Super-­fast,  Parallel,  In-­memory  optimised,  
Calculation  Engine
• 2  to  4  x  Compression  Columnar  Data
• Compiled  Queries  with  Machine  Code  
Generation
• Rich  Calculations  
• SQL-­like  Syntax
• Fully  Managed  – No  Hardware  or  
Software  to  License
Intuitive  Visualisations with  AutoGraph
• Automatic  Detection  of  Data  Types
• Optimal  Query  Generation
• Appropriate  Graph  Type  Selection
• Ability  to  Customise the  Graph  Type
• Very  Fast  Response
Fast  to  Get  Started Fast  Insights  
with  SPICE
Easily  Explore  
any  AWS  Data
Easy  to  Use  and  Share Effortless  Scale Low  Cost
Low  Cost
Standard  Edition  
Ad-­hoc  analysis,  data  connectors,  
sharing,  embedding,  mobile  experience  
+  10  GB  of  SPICE  storage
Enterprise  Edition
Standard  Edition  +  Active  Directory  
integration,  user  access  control,  encryption  
at  rest,  2X  throughput
$9
$18
Per  User  Per  Month
Per  User  Per  Month
Pricing  Details
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.
Creating  a  Data-­Driven  Culture  with  
Amazon  Quicksight
• Make  Required  Data  Available  to  Users
• Automate  Data  Collection/Provisioning
• Determine  Best  Platform/Tool  to  Surface  
Data  for  Analysis
• Leverage  Existing  Skills/Expertise  Across  
the  Business
Amazon  QuickSight
DEMO
Amazon  QuickSight  Demo
ü First  Analysis  in  60  Seconds
ü Creating  Analyses
ü Working  with  Stories
ü Creating  Dashboards
ü Filtering  Data
ü Working  with  Data  Sets
Data  Driven  Culture
Data  Driven:  Creating  a  Data  Culture  (O’Reilly)
Amazon  QuickSight
QuickSight  Product  Page
QuickSight  Announcement  (Video)
QuickSight  FAQ’s
Resources
AWS  Training  &  Certification
Intro  Videos  &  Labs  
Free  videos  and  labs  to  
help  you  learn  to  work  
with  30+  AWS  services  
– in  minutes!
Training  Classes
In-­person  and  online  
courses  to  build  
technical  skills  –
taught  by  accredited  
AWS  instructors
Online  Labs  
Practice  working  with  
AWS  services  in  live  
environment  –
Learn  how  related  
services  work  
together
AWS  Certification
Validate  technical  
skills  and  expertise  –
identify  qualified  IT  
talent  or  show  you  
are  AWS  cloud  ready
Learn  more:  aws.amazon.com/training
Your  Training  Next  Steps:
ü Visit  the  AWS  Training  &  Certification  pod  to  discuss  your  
training  plan  &  AWS  Summit  training  offer
ü Register  &  attend  AWS  instructor  led  training
ü Get  Certified
AWS  Certified?  Visit  the  AWS  Summit  Certification  Lounge  to  pick  up  your  swag
Learn  more:  aws.amazon.com/training
Thank  You!

More Related Content

What's hot

AWS S3 and GLACIER
AWS S3 and GLACIERAWS S3 and GLACIER
AWS S3 and GLACIERMahesh Raj
 
ABCs of AWS: S3
ABCs of AWS: S3ABCs of AWS: S3
ABCs of AWS: S3Mark Cohen
 
Introduction to AWS Cost Management
Introduction to AWS Cost ManagementIntroduction to AWS Cost Management
Introduction to AWS Cost ManagementAmazon Web Services
 
Easy Analytics on AWS with Amazon Redshift, Amazon QuickSight, and Amazon Mac...
Easy Analytics on AWS with Amazon Redshift, Amazon QuickSight, and Amazon Mac...Easy Analytics on AWS with Amazon Redshift, Amazon QuickSight, and Amazon Mac...
Easy Analytics on AWS with Amazon Redshift, Amazon QuickSight, and Amazon Mac...Amazon Web Services
 
Introduction to EC2
Introduction to EC2Introduction to EC2
Introduction to EC2Mark Squires
 
Introduction to Amazon Lightsail
Introduction to Amazon Lightsail Introduction to Amazon Lightsail
Introduction to Amazon Lightsail Amazon Web Services
 
Introduction to Amazon Relational Database Service
Introduction to Amazon Relational Database ServiceIntroduction to Amazon Relational Database Service
Introduction to Amazon Relational Database ServiceAmazon Web Services
 
Amazon Relational Database Service (Amazon RDS)
Amazon Relational Database Service (Amazon RDS)Amazon Relational Database Service (Amazon RDS)
Amazon Relational Database Service (Amazon RDS)Amazon Web Services
 
Getting Started with Amazon WorkSpaces
 Getting Started with Amazon WorkSpaces Getting Started with Amazon WorkSpaces
Getting Started with Amazon WorkSpacesAmazon Web Services
 
Visualizing Big Data Insights with Amazon QuickSight
Visualizing Big Data Insights with Amazon QuickSightVisualizing Big Data Insights with Amazon QuickSight
Visualizing Big Data Insights with Amazon QuickSightAmazon Web Services
 
Introduction to AWS and Cloud Computing - Module 1 Part 1 - AWSome Day 2017
Introduction to AWS and Cloud Computing - Module 1 Part 1 - AWSome Day 2017Introduction to AWS and Cloud Computing - Module 1 Part 1 - AWSome Day 2017
Introduction to AWS and Cloud Computing - Module 1 Part 1 - AWSome Day 2017Amazon Web Services
 

What's hot (20)

AWS Simple Storage Service (s3)
AWS Simple Storage Service (s3) AWS Simple Storage Service (s3)
AWS Simple Storage Service (s3)
 
AWS S3 and GLACIER
AWS S3 and GLACIERAWS S3 and GLACIER
AWS S3 and GLACIER
 
ABCs of AWS: S3
ABCs of AWS: S3ABCs of AWS: S3
ABCs of AWS: S3
 
Introduction to AWS Cost Management
Introduction to AWS Cost ManagementIntroduction to AWS Cost Management
Introduction to AWS Cost Management
 
AWS glue technical enablement training
AWS glue technical enablement trainingAWS glue technical enablement training
AWS glue technical enablement training
 
Easy Analytics on AWS with Amazon Redshift, Amazon QuickSight, and Amazon Mac...
Easy Analytics on AWS with Amazon Redshift, Amazon QuickSight, and Amazon Mac...Easy Analytics on AWS with Amazon Redshift, Amazon QuickSight, and Amazon Mac...
Easy Analytics on AWS with Amazon Redshift, Amazon QuickSight, and Amazon Mac...
 
Introduction to EC2
Introduction to EC2Introduction to EC2
Introduction to EC2
 
Introduction to Amazon Lightsail
Introduction to Amazon Lightsail Introduction to Amazon Lightsail
Introduction to Amazon Lightsail
 
Amazon services ec2
Amazon services ec2Amazon services ec2
Amazon services ec2
 
Introduction to Amazon Relational Database Service
Introduction to Amazon Relational Database ServiceIntroduction to Amazon Relational Database Service
Introduction to Amazon Relational Database Service
 
Amazon Relational Database Service (Amazon RDS)
Amazon Relational Database Service (Amazon RDS)Amazon Relational Database Service (Amazon RDS)
Amazon Relational Database Service (Amazon RDS)
 
Amazon QuickSight
Amazon QuickSightAmazon QuickSight
Amazon QuickSight
 
IAM Introduction
IAM IntroductionIAM Introduction
IAM Introduction
 
Getting Started with Amazon WorkSpaces
 Getting Started with Amazon WorkSpaces Getting Started with Amazon WorkSpaces
Getting Started with Amazon WorkSpaces
 
AWS Cloud trail
AWS Cloud trailAWS Cloud trail
AWS Cloud trail
 
AWS Cloud Watch
AWS Cloud WatchAWS Cloud Watch
AWS Cloud Watch
 
BDA311 Introduction to AWS Glue
BDA311 Introduction to AWS GlueBDA311 Introduction to AWS Glue
BDA311 Introduction to AWS Glue
 
Introduction to Amazon Athena
Introduction to Amazon AthenaIntroduction to Amazon Athena
Introduction to Amazon Athena
 
Visualizing Big Data Insights with Amazon QuickSight
Visualizing Big Data Insights with Amazon QuickSightVisualizing Big Data Insights with Amazon QuickSight
Visualizing Big Data Insights with Amazon QuickSight
 
Introduction to AWS and Cloud Computing - Module 1 Part 1 - AWSome Day 2017
Introduction to AWS and Cloud Computing - Module 1 Part 1 - AWSome Day 2017Introduction to AWS and Cloud Computing - Module 1 Part 1 - AWSome Day 2017
Introduction to AWS and Cloud Computing - Module 1 Part 1 - AWSome Day 2017
 

Viewers also liked

Best Practices for Building a Data Lake with Amazon S3 - August 2016 Monthly ...
Best Practices for Building a Data Lake with Amazon S3 - August 2016 Monthly ...Best Practices for Building a Data Lake with Amazon S3 - August 2016 Monthly ...
Best Practices for Building a Data Lake with Amazon S3 - August 2016 Monthly ...Amazon Web Services
 
AWS October Webinar Series - Introducing Amazon QuickSight
AWS October Webinar Series - Introducing Amazon QuickSightAWS October Webinar Series - Introducing Amazon QuickSight
AWS October Webinar Series - Introducing Amazon QuickSightAmazon Web Services
 
Deep Dive on Amazon QuickSight - January 2017 AWS Online Tech Talks
Deep Dive on Amazon QuickSight - January 2017 AWS Online Tech TalksDeep Dive on Amazon QuickSight - January 2017 AWS Online Tech Talks
Deep Dive on Amazon QuickSight - January 2017 AWS Online Tech TalksAmazon Web Services
 
AWS re:Invent 2016: Workshop: Building Your First Big Data Application with A...
AWS re:Invent 2016: Workshop: Building Your First Big Data Application with A...AWS re:Invent 2016: Workshop: Building Your First Big Data Application with A...
AWS re:Invent 2016: Workshop: Building Your First Big Data Application with A...Amazon Web Services
 
Explore Your Data Using Amazon QuickSight and Build Your First Machine Learni...
Explore Your Data Using Amazon QuickSight and Build Your First Machine Learni...Explore Your Data Using Amazon QuickSight and Build Your First Machine Learni...
Explore Your Data Using Amazon QuickSight and Build Your First Machine Learni...Amazon Web Services
 
AWS re:Invent 2016: Building Big Data Applications with the AWS Big Data Plat...
AWS re:Invent 2016: Building Big Data Applications with the AWS Big Data Plat...AWS re:Invent 2016: Building Big Data Applications with the AWS Big Data Plat...
AWS re:Invent 2016: Building Big Data Applications with the AWS Big Data Plat...Amazon Web Services
 
Real-Time Data Exploration and Analytics with Amazon Elasticsearch Service
Real-Time Data Exploration and Analytics with Amazon Elasticsearch ServiceReal-Time Data Exploration and Analytics with Amazon Elasticsearch Service
Real-Time Data Exploration and Analytics with Amazon Elasticsearch ServiceAmazon Web Services
 
Amazon CloudWatch Logs and AWS Lambda
Amazon CloudWatch Logs and AWS LambdaAmazon CloudWatch Logs and AWS Lambda
Amazon CloudWatch Logs and AWS LambdaAmazon Web Services
 
(BDT317) Building A Data Lake On AWS
(BDT317) Building A Data Lake On AWS(BDT317) Building A Data Lake On AWS
(BDT317) Building A Data Lake On AWSAmazon Web Services
 
Log Analytics with Amazon Elasticsearch Service - September Webinar Series
Log Analytics with Amazon Elasticsearch Service - September Webinar SeriesLog Analytics with Amazon Elasticsearch Service - September Webinar Series
Log Analytics with Amazon Elasticsearch Service - September Webinar SeriesAmazon Web Services
 
Building a Server-less Data Lake on AWS - Technical 301
Building a Server-less Data Lake on AWS - Technical 301Building a Server-less Data Lake on AWS - Technical 301
Building a Server-less Data Lake on AWS - Technical 301Amazon Web Services
 
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...Amazon Web Services
 
Visibility and Control in the Cloud: How to Get your Boss Comfortable with AW...
Visibility and Control in the Cloud: How to Get your Boss Comfortable with AW...Visibility and Control in the Cloud: How to Get your Boss Comfortable with AW...
Visibility and Control in the Cloud: How to Get your Boss Comfortable with AW...Amazon Web Services
 
Accelerating and Securing your Applications in AWS. In-depth look at Solving ...
Accelerating and Securing your Applications in AWS. In-depth look at Solving ...Accelerating and Securing your Applications in AWS. In-depth look at Solving ...
Accelerating and Securing your Applications in AWS. In-depth look at Solving ...Amazon Web Services
 
Gaming in the Cloud - Pop-up Loft Tel Aviv
Gaming in the Cloud - Pop-up Loft Tel AvivGaming in the Cloud - Pop-up Loft Tel Aviv
Gaming in the Cloud - Pop-up Loft Tel AvivAmazon Web Services
 
February 2016 Webinar Series - Introduction to DynamoDB
February 2016 Webinar Series - Introduction to DynamoDBFebruary 2016 Webinar Series - Introduction to DynamoDB
February 2016 Webinar Series - Introduction to DynamoDBAmazon Web Services
 
Key Steps for Setting up your AWS Journey for Success - Business
Key Steps for Setting up your AWS Journey for Success - BusinessKey Steps for Setting up your AWS Journey for Success - Business
Key Steps for Setting up your AWS Journey for Success - BusinessAmazon Web Services
 
AWS January 2016 Webinar Series - Building Smart Applications with Amazon Mac...
AWS January 2016 Webinar Series - Building Smart Applications with Amazon Mac...AWS January 2016 Webinar Series - Building Smart Applications with Amazon Mac...
AWS January 2016 Webinar Series - Building Smart Applications with Amazon Mac...Amazon Web Services
 

Viewers also liked (20)

Amazon QuickSight
Amazon QuickSightAmazon QuickSight
Amazon QuickSight
 
Best Practices for Building a Data Lake with Amazon S3 - August 2016 Monthly ...
Best Practices for Building a Data Lake with Amazon S3 - August 2016 Monthly ...Best Practices for Building a Data Lake with Amazon S3 - August 2016 Monthly ...
Best Practices for Building a Data Lake with Amazon S3 - August 2016 Monthly ...
 
AWS October Webinar Series - Introducing Amazon QuickSight
AWS October Webinar Series - Introducing Amazon QuickSightAWS October Webinar Series - Introducing Amazon QuickSight
AWS October Webinar Series - Introducing Amazon QuickSight
 
Deep Dive on Amazon QuickSight - January 2017 AWS Online Tech Talks
Deep Dive on Amazon QuickSight - January 2017 AWS Online Tech TalksDeep Dive on Amazon QuickSight - January 2017 AWS Online Tech Talks
Deep Dive on Amazon QuickSight - January 2017 AWS Online Tech Talks
 
AWS re:Invent 2016: Workshop: Building Your First Big Data Application with A...
AWS re:Invent 2016: Workshop: Building Your First Big Data Application with A...AWS re:Invent 2016: Workshop: Building Your First Big Data Application with A...
AWS re:Invent 2016: Workshop: Building Your First Big Data Application with A...
 
Explore Your Data Using Amazon QuickSight and Build Your First Machine Learni...
Explore Your Data Using Amazon QuickSight and Build Your First Machine Learni...Explore Your Data Using Amazon QuickSight and Build Your First Machine Learni...
Explore Your Data Using Amazon QuickSight and Build Your First Machine Learni...
 
AWS re:Invent 2016: Building Big Data Applications with the AWS Big Data Plat...
AWS re:Invent 2016: Building Big Data Applications with the AWS Big Data Plat...AWS re:Invent 2016: Building Big Data Applications with the AWS Big Data Plat...
AWS re:Invent 2016: Building Big Data Applications with the AWS Big Data Plat...
 
Real-Time Data Exploration and Analytics with Amazon Elasticsearch Service
Real-Time Data Exploration and Analytics with Amazon Elasticsearch ServiceReal-Time Data Exploration and Analytics with Amazon Elasticsearch Service
Real-Time Data Exploration and Analytics with Amazon Elasticsearch Service
 
Amazon CloudWatch Logs and AWS Lambda
Amazon CloudWatch Logs and AWS LambdaAmazon CloudWatch Logs and AWS Lambda
Amazon CloudWatch Logs and AWS Lambda
 
(BDT317) Building A Data Lake On AWS
(BDT317) Building A Data Lake On AWS(BDT317) Building A Data Lake On AWS
(BDT317) Building A Data Lake On AWS
 
Log Analytics with Amazon Elasticsearch Service - September Webinar Series
Log Analytics with Amazon Elasticsearch Service - September Webinar SeriesLog Analytics with Amazon Elasticsearch Service - September Webinar Series
Log Analytics with Amazon Elasticsearch Service - September Webinar Series
 
Building a Server-less Data Lake on AWS - Technical 301
Building a Server-less Data Lake on AWS - Technical 301Building a Server-less Data Lake on AWS - Technical 301
Building a Server-less Data Lake on AWS - Technical 301
 
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...
 
Visibility and Control in the Cloud: How to Get your Boss Comfortable with AW...
Visibility and Control in the Cloud: How to Get your Boss Comfortable with AW...Visibility and Control in the Cloud: How to Get your Boss Comfortable with AW...
Visibility and Control in the Cloud: How to Get your Boss Comfortable with AW...
 
Accelerating and Securing your Applications in AWS. In-depth look at Solving ...
Accelerating and Securing your Applications in AWS. In-depth look at Solving ...Accelerating and Securing your Applications in AWS. In-depth look at Solving ...
Accelerating and Securing your Applications in AWS. In-depth look at Solving ...
 
Gaming in the Cloud - Pop-up Loft Tel Aviv
Gaming in the Cloud - Pop-up Loft Tel AvivGaming in the Cloud - Pop-up Loft Tel Aviv
Gaming in the Cloud - Pop-up Loft Tel Aviv
 
Crypto Options in AWS
Crypto Options in AWSCrypto Options in AWS
Crypto Options in AWS
 
February 2016 Webinar Series - Introduction to DynamoDB
February 2016 Webinar Series - Introduction to DynamoDBFebruary 2016 Webinar Series - Introduction to DynamoDB
February 2016 Webinar Series - Introduction to DynamoDB
 
Key Steps for Setting up your AWS Journey for Success - Business
Key Steps for Setting up your AWS Journey for Success - BusinessKey Steps for Setting up your AWS Journey for Success - Business
Key Steps for Setting up your AWS Journey for Success - Business
 
AWS January 2016 Webinar Series - Building Smart Applications with Amazon Mac...
AWS January 2016 Webinar Series - Building Smart Applications with Amazon Mac...AWS January 2016 Webinar Series - Building Smart Applications with Amazon Mac...
AWS January 2016 Webinar Series - Building Smart Applications with Amazon Mac...
 

Similar to Creating a Data Driven Culture with Amazon QuickSight - Technical 201

Getting Started with Amazon QuickSight
Getting Started with Amazon QuickSightGetting Started with Amazon QuickSight
Getting Started with Amazon QuickSightAmazon Web Services
 
Getting Started with Amazon QuickSight
Getting Started with Amazon QuickSightGetting Started with Amazon QuickSight
Getting Started with Amazon QuickSightAmazon Web Services
 
利用 Amazon QuickSight 視覺化分析服務剖析資料
利用 Amazon QuickSight 視覺化分析服務剖析資料利用 Amazon QuickSight 視覺化分析服務剖析資料
利用 Amazon QuickSight 視覺化分析服務剖析資料Amazon Web Services
 
Modern Data Architectures for Business Insights at Scale
Modern Data Architectures for Business Insights at Scale Modern Data Architectures for Business Insights at Scale
Modern Data Architectures for Business Insights at Scale Amazon Web Services
 
"Building a Modern Data platform in the Cloud", Alex Casalboni, AWS Dev Day K...
"Building a Modern Data platform in the Cloud", Alex Casalboni, AWS Dev Day K..."Building a Modern Data platform in the Cloud", Alex Casalboni, AWS Dev Day K...
"Building a Modern Data platform in the Cloud", Alex Casalboni, AWS Dev Day K...Provectus
 
Building your First Big Data Application on AWS
Building your First Big Data Application on AWSBuilding your First Big Data Application on AWS
Building your First Big Data Application on AWSAmazon Web Services
 
BDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWSBDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWSAmazon Web Services
 
Initiate Edinburgh 2019 - Big Data Meets AI
Initiate Edinburgh 2019 - Big Data Meets AIInitiate Edinburgh 2019 - Big Data Meets AI
Initiate Edinburgh 2019 - Big Data Meets AIAmazon Web Services
 
Finding Meaning in the Noise: Understanding Big Data with AWS Analytics
Finding Meaning in the Noise: Understanding Big Data with AWS AnalyticsFinding Meaning in the Noise: Understanding Big Data with AWS Analytics
Finding Meaning in the Noise: Understanding Big Data with AWS AnalyticsAmazon Web Services
 
Big problems Big data, simple AWS solution
Big problems Big data, simple AWS solutionBig problems Big data, simple AWS solution
Big problems Big data, simple AWS solutionJean-Claude Sotto
 
Big problems Big Data, simple solutions
Big problems Big Data, simple solutionsBig problems Big Data, simple solutions
Big problems Big Data, simple solutionsClaudio Pontili
 
Welcome & AWS Big Data Solution Overview
Welcome & AWS Big Data Solution OverviewWelcome & AWS Big Data Solution Overview
Welcome & AWS Big Data Solution OverviewAmazon Web Services
 
Amazon Web Services
Amazon Web ServicesAmazon Web Services
Amazon Web ServicesJisc
 
Big Data Analytics, Machine Learning e Inteligência Artificial
Big Data Analytics, Machine Learning e Inteligência ArtificialBig Data Analytics, Machine Learning e Inteligência Artificial
Big Data Analytics, Machine Learning e Inteligência ArtificialAmazon Web Services LATAM
 
AWS Summit 2013 | Singapore - Big Data Analytics, Presented by AWS, Intel and...
AWS Summit 2013 | Singapore - Big Data Analytics, Presented by AWS, Intel and...AWS Summit 2013 | Singapore - Big Data Analytics, Presented by AWS, Intel and...
AWS Summit 2013 | Singapore - Big Data Analytics, Presented by AWS, Intel and...Amazon Web Services
 
Fast Track to Your Data Lake on AWS
Fast Track to Your Data Lake on AWSFast Track to Your Data Lake on AWS
Fast Track to Your Data Lake on AWSAmazon Web Services
 
Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...
Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...
Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...Amazon Web Services
 
ABD202_Best Practices for Building Serverless Big Data Applications
ABD202_Best Practices for Building Serverless Big Data ApplicationsABD202_Best Practices for Building Serverless Big Data Applications
ABD202_Best Practices for Building Serverless Big Data ApplicationsAmazon Web Services
 

Similar to Creating a Data Driven Culture with Amazon QuickSight - Technical 201 (20)

Getting Started with Amazon QuickSight
Getting Started with Amazon QuickSightGetting Started with Amazon QuickSight
Getting Started with Amazon QuickSight
 
Getting Started with Amazon QuickSight
Getting Started with Amazon QuickSightGetting Started with Amazon QuickSight
Getting Started with Amazon QuickSight
 
利用 Amazon QuickSight 視覺化分析服務剖析資料
利用 Amazon QuickSight 視覺化分析服務剖析資料利用 Amazon QuickSight 視覺化分析服務剖析資料
利用 Amazon QuickSight 視覺化分析服務剖析資料
 
Modern Data Architectures for Business Insights at Scale
Modern Data Architectures for Business Insights at Scale Modern Data Architectures for Business Insights at Scale
Modern Data Architectures for Business Insights at Scale
 
"Building a Modern Data platform in the Cloud", Alex Casalboni, AWS Dev Day K...
"Building a Modern Data platform in the Cloud", Alex Casalboni, AWS Dev Day K..."Building a Modern Data platform in the Cloud", Alex Casalboni, AWS Dev Day K...
"Building a Modern Data platform in the Cloud", Alex Casalboni, AWS Dev Day K...
 
Building your First Big Data Application on AWS
Building your First Big Data Application on AWSBuilding your First Big Data Application on AWS
Building your First Big Data Application on AWS
 
BDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWSBDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWS
 
Initiate Edinburgh 2019 - Big Data Meets AI
Initiate Edinburgh 2019 - Big Data Meets AIInitiate Edinburgh 2019 - Big Data Meets AI
Initiate Edinburgh 2019 - Big Data Meets AI
 
Finding Meaning in the Noise: Understanding Big Data with AWS Analytics
Finding Meaning in the Noise: Understanding Big Data with AWS AnalyticsFinding Meaning in the Noise: Understanding Big Data with AWS Analytics
Finding Meaning in the Noise: Understanding Big Data with AWS Analytics
 
Big problems Big data, simple AWS solution
Big problems Big data, simple AWS solutionBig problems Big data, simple AWS solution
Big problems Big data, simple AWS solution
 
Big problems Big Data, simple solutions
Big problems Big Data, simple solutionsBig problems Big Data, simple solutions
Big problems Big Data, simple solutions
 
Building your Datalake on AWS
Building your Datalake on AWSBuilding your Datalake on AWS
Building your Datalake on AWS
 
Welcome & AWS Big Data Solution Overview
Welcome & AWS Big Data Solution OverviewWelcome & AWS Big Data Solution Overview
Welcome & AWS Big Data Solution Overview
 
Amazon Web Services
Amazon Web ServicesAmazon Web Services
Amazon Web Services
 
Big Data Analytics, Machine Learning e Inteligência Artificial
Big Data Analytics, Machine Learning e Inteligência ArtificialBig Data Analytics, Machine Learning e Inteligência Artificial
Big Data Analytics, Machine Learning e Inteligência Artificial
 
AWS Summit 2013 | Singapore - Big Data Analytics, Presented by AWS, Intel and...
AWS Summit 2013 | Singapore - Big Data Analytics, Presented by AWS, Intel and...AWS Summit 2013 | Singapore - Big Data Analytics, Presented by AWS, Intel and...
AWS Summit 2013 | Singapore - Big Data Analytics, Presented by AWS, Intel and...
 
Fast Track to Your Data Lake on AWS
Fast Track to Your Data Lake on AWSFast Track to Your Data Lake on AWS
Fast Track to Your Data Lake on AWS
 
Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...
Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...
Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...
 
2016 AWS Big Data Solution Days
2016 AWS Big Data Solution Days2016 AWS Big Data Solution Days
2016 AWS Big Data Solution Days
 
ABD202_Best Practices for Building Serverless Big Data Applications
ABD202_Best Practices for Building Serverless Big Data ApplicationsABD202_Best Practices for Building Serverless Big Data Applications
ABD202_Best Practices for Building Serverless Big Data Applications
 

More from Amazon Web Services

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
 
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
 
Esegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateEsegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateAmazon Web Services
 
Costruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSCostruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSAmazon Web Services
 
Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
 
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
 
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
 
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsMicrosoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
 
Database Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareDatabase Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareAmazon Web Services
 
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSCrea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
 
API moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAPI moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAmazon Web Services
 
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareDatabase Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
 
Tools for building your MVP on AWS
Tools for building your MVP on AWSTools for building your MVP on AWS
Tools for building your MVP on AWSAmazon Web Services
 
How to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckHow to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckAmazon Web Services
 
Building a web application without servers
Building a web application without serversBuilding a web application without servers
Building a web application without serversAmazon Web Services
 
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
 
Introduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceIntroduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceAmazon Web Services
 

More from Amazon Web Services (20)

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
 
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
 
Esegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateEsegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS Fargate
 
Costruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSCostruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWS
 
Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot
 
Open banking as a service
Open banking as a serviceOpen banking as a service
Open banking as a service
 
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
 
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
 
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsMicrosoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
 
Computer Vision con AWS
Computer Vision con AWSComputer Vision con AWS
Computer Vision con AWS
 
Database Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareDatabase Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatare
 
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSCrea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
 
API moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAPI moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e web
 
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareDatabase Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
 
Tools for building your MVP on AWS
Tools for building your MVP on AWSTools for building your MVP on AWS
Tools for building your MVP on AWS
 
How to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckHow to Build a Winning Pitch Deck
How to Build a Winning Pitch Deck
 
Building a web application without servers
Building a web application without serversBuilding a web application without servers
Building a web application without servers
 
Fundraising Essentials
Fundraising EssentialsFundraising Essentials
Fundraising Essentials
 
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
 
Introduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceIntroduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container Service
 

Recently uploaded

Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMIntroduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMKumar Satyam
 
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data PlatformLess Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data PlatformWSO2
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational PerformanceDecarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational PerformanceIES VE
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Bhuvaneswari Subramani
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxRemote DBA Services
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....rightmanforbloodline
 
WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...
WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...
WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...WSO2
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontologyjohnbeverley2021
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 

Recently uploaded (20)

Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMIntroduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDM
 
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data PlatformLess Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational PerformanceDecarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational Performance
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
 
WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...
WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...
WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 

Creating a Data Driven Culture with Amazon QuickSight - Technical 201

  • 1. ©  2016,  Amazon  Web  Services,  Inc.  or  its  Affiliates.  All  rights  reserved. David  McAmis,  Big  Data  &  Analytics  Consultant Amazon  Web  Services Creating  a  Data-­Driven  Culture  with   Amazon  QuickSight Technical  201
  • 2. 95%  of  the  1.2  zettabytes of  data  in  the  digital   universe  is  unstructured 70%  of  this  is  user-­ generated  content   Unstructured  data  growth   explosive,  with  estimates   of  compound  annual   growth  (CAGR)  at  62%   from  2008  – 2012.   Source:  IDC GB TB PB ZB EB Unconstrained  Data  Growth
  • 3. Gartner:   User  Survey  Analysis:   Key  Trends  Shaping   the  Future   of  Data  Center  Infrastructure   Through   2011   IDC:  Worldwide  Business   Analytics  Software   2012–2016   Forecast  and   2011   Vendor   Shares   Available  for  Analysis Generated  Data Data  Volume  -­ Gap 1990 2000 2010 2020 Availability  is  a  Major  Issue
  • 4. Moving  from  what  we  THINK to   What  we  KNOW Data  Drive  Culture
  • 5. Data  Drive  Culture Data  is  an   Asset Data  is   Accessible Fact-­Based   Decision  Process
  • 6. Data  is  an  Asset Data  is  an   Asset • Valuable • Registered • Tracked • Maintained • Accessible • Retired
  • 7. Data  is  Accessible Data  is Accessible • Centralised Data  Store • Data  Catalogue • Ability  to  Easily  Explore  Data • Automated  Provisioning • Automated  Access  Control • Accessible  by  a  Wide  Range  of   Tools/Technologies
  • 8. Fact-­Based   Decision  Process Fact-­Based  Decision  Process • Define  the  Problem • Obtain  Relevant  Data • Analyse and  Share  Data • Make  a  Decision • Evaluate  the  Results
  • 9. What  is  Amazon  QuickSight?
  • 10. Very  Fast Cloud-­Powered BI  Service  for  1/10th the  Cost   Traditional  BI  Software Amazon  QuickSight
  • 11. $9   per  User  per  Month With  1  Year  Commitment
  • 12. Business  User Sign-­in First  Analysis  in  About  60  Seconds
  • 13. Data  Prep Metadata SuggestionsConnectors SPICE QuickSight  API Business  User QuickSight  UI Mobile  Devices Web   Browsers Partner  BI  products Amazon S3 Amazon   Kinesis Amazon   DynamoDB   Amazon   EMR Amazon   Redshift Amazon   RDSFiles Third-­party
  • 14. Innovations Easy  Exploration  of  AWS  Data Fast  Insights  with  SPICE   Intuitive  Visualisations and  Transitions  (AutoGraph) Native  Mobile  Experience  (iOS/Android) Secure  Sharing  and  Collaboration  (Stories)
  • 15. How  do  I  SPICE  up  my  Data?
  • 16.
  • 17. Easy  Exploration  of  AWS  Data • Securely  Discover  and  Connect  to  AWS  Data   • Quickly  Explore  AWS  Data  Sources • Relational  databases  (Amazon  RDS,  Amazon  RDS  for   Aurora,  Amazon  Redshift) • NoSQL  databases  (Amazon  DynamoDB) • Amazon  EMR,  Amazon  S3,  files  (CSV,  Excel,  TSV,   XLF,  CLF) • Streaming  data  sources  (Amazon  DynamoDB,   Amazon  Kinesis) • Easily  Import  Data  from  any  Table  or  File   • Automatic  Detection  of  Data  Types
  • 18. Fast  Insights  With  SPICE • Super-­fast,  Parallel,  In-­memory  optimised,   Calculation  Engine • 2  to  4  x  Compression  Columnar  Data • Compiled  Queries  with  Machine  Code   Generation • Rich  Calculations   • SQL-­like  Syntax • Fully  Managed  – No  Hardware  or   Software  to  License
  • 19. Intuitive  Visualisations with  AutoGraph • Automatic  Detection  of  Data  Types • Optimal  Query  Generation • Appropriate  Graph  Type  Selection • Ability  to  Customise the  Graph  Type • Very  Fast  Response
  • 20. Fast  to  Get  Started Fast  Insights   with  SPICE Easily  Explore   any  AWS  Data Easy  to  Use  and  Share Effortless  Scale Low  Cost
  • 21. Low  Cost Standard  Edition   Ad-­hoc  analysis,  data  connectors,   sharing,  embedding,  mobile  experience   +  10  GB  of  SPICE  storage Enterprise  Edition Standard  Edition  +  Active  Directory   integration,  user  access  control,  encryption   at  rest,  2X  throughput $9 $18 Per  User  Per  Month Per  User  Per  Month
  • 22. Pricing  Details 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.
  • 23. Creating  a  Data-­Driven  Culture  with   Amazon  Quicksight • Make  Required  Data  Available  to  Users • Automate  Data  Collection/Provisioning • Determine  Best  Platform/Tool  to  Surface   Data  for  Analysis • Leverage  Existing  Skills/Expertise  Across   the  Business
  • 25. Amazon  QuickSight  Demo ü First  Analysis  in  60  Seconds ü Creating  Analyses ü Working  with  Stories ü Creating  Dashboards ü Filtering  Data ü Working  with  Data  Sets
  • 26. Data  Driven  Culture Data  Driven:  Creating  a  Data  Culture  (O’Reilly) Amazon  QuickSight QuickSight  Product  Page QuickSight  Announcement  (Video) QuickSight  FAQ’s Resources
  • 27. AWS  Training  &  Certification Intro  Videos  &  Labs   Free  videos  and  labs  to   help  you  learn  to  work   with  30+  AWS  services   – in  minutes! Training  Classes In-­person  and  online   courses  to  build   technical  skills  – taught  by  accredited   AWS  instructors Online  Labs   Practice  working  with   AWS  services  in  live   environment  – Learn  how  related   services  work   together AWS  Certification Validate  technical   skills  and  expertise  – identify  qualified  IT   talent  or  show  you   are  AWS  cloud  ready Learn  more:  aws.amazon.com/training
  • 28. Your  Training  Next  Steps: ü Visit  the  AWS  Training  &  Certification  pod  to  discuss  your   training  plan  &  AWS  Summit  training  offer ü Register  &  attend  AWS  instructor  led  training ü Get  Certified AWS  Certified?  Visit  the  AWS  Summit  Certification  Lounge  to  pick  up  your  swag Learn  more:  aws.amazon.com/training