SlideShare a Scribd company logo
1 of 8
Download to read offline
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
D A T 3 2 6
The Amazon.com Database Journey
to AWS – Top 10 Lessons Learned
Thomas Park
Sr. Manager
Big Data Technologies
Amazon.com
Doug Booth
Sr. Technical Biz Dev Manager
Amazon Web Services
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Motivations
• Database sprawl because of growing service throughput was creating
more and more work for infrastructure teams
• Expensive and punitive licensing costs: millions in 2017 alone and
projected to grow 10 percent annually
• Complicated, expensive, and error-prone database administration
• Complicated and inefficient hardware provisioning
• Capacity planning
• Diversify and leverage the value of the cloud
• Scaling & performance
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
DW clusters
Catalog
Inventory
Transactions
Clickstream
Marketing
ETLM
Scheduler
Dependency Handler
Users
DWOPS BIMDATADWEXPL
Source OLTP DBs
Amazon S3
EDX
Oracle Oracle Oracle
Oracle RAC
DBLink
DBLink
Apps
DataNet
Grasshopper
BI-Metadata/BiCON
DW-Pipelines
Cost Explorer/BDT Billing Service
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Lessons learned
1.Increase your visibility
2.Accelerate executive support
3.Get the support of Oracle and SQL DBAs
4.Create force multipliers
5.Work closely with AWS
6.Address FUD and real technical issues
7.Compare cost to value – lowest cost may not always deliver highest
value
8.Win with projects that demonstrate cost efficiency
9.Enterprise fleet management
10.Be flexible and celebrate the wins!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
How to choose
Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.

More Related Content

What's hot

Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...
Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...
Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...Amazon Web Services
 
SaaS Analytics and Metrics: Capturing and Surfacing the Data That's Fundament...
SaaS Analytics and Metrics: Capturing and Surfacing the Data That's Fundament...SaaS Analytics and Metrics: Capturing and Surfacing the Data That's Fundament...
SaaS Analytics and Metrics: Capturing and Surfacing the Data That's Fundament...Amazon Web Services
 
Optimize Amazon EC2 Instances, AWS Fargate Containers, & Lambda Functions (CM...
Optimize Amazon EC2 Instances, AWS Fargate Containers, & Lambda Functions (CM...Optimize Amazon EC2 Instances, AWS Fargate Containers, & Lambda Functions (CM...
Optimize Amazon EC2 Instances, AWS Fargate Containers, & Lambda Functions (CM...Amazon Web Services
 
Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...
Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...
Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...Amazon Web Services
 
Ask an Amazon Redshift Customer Anything (ANT389) - AWS re:Invent 2018
Ask an Amazon Redshift Customer Anything (ANT389) - AWS re:Invent 2018Ask an Amazon Redshift Customer Anything (ANT389) - AWS re:Invent 2018
Ask an Amazon Redshift Customer Anything (ANT389) - AWS re:Invent 2018Amazon Web Services
 
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018Amazon Web Services
 
Pushing Amazon RDS to the Limit (WPS337) - AWS re:Invent 2018
Pushing Amazon RDS to the Limit (WPS337) - AWS re:Invent 2018Pushing Amazon RDS to the Limit (WPS337) - AWS re:Invent 2018
Pushing Amazon RDS to the Limit (WPS337) - AWS re:Invent 2018Amazon Web Services
 
Cost Optimization Tooling (ARC301) - AWS re:Invent 2018
Cost Optimization Tooling (ARC301) - AWS re:Invent 2018Cost Optimization Tooling (ARC301) - AWS re:Invent 2018
Cost Optimization Tooling (ARC301) - AWS re:Invent 2018Amazon Web Services
 
Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018
Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018
Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018Amazon Web Services
 
Optimize Your Oracle Licenses on Amazon Web Services (DAT211) - AWS re:Invent...
Optimize Your Oracle Licenses on Amazon Web Services (DAT211) - AWS re:Invent...Optimize Your Oracle Licenses on Amazon Web Services (DAT211) - AWS re:Invent...
Optimize Your Oracle Licenses on Amazon Web Services (DAT211) - AWS re:Invent...Amazon Web Services
 
Redshift Advisor Quick Start: Recommendations on Tuning Your Data Warehouse (...
Redshift Advisor Quick Start: Recommendations on Tuning Your Data Warehouse (...Redshift Advisor Quick Start: Recommendations on Tuning Your Data Warehouse (...
Redshift Advisor Quick Start: Recommendations on Tuning Your Data Warehouse (...Amazon Web Services
 
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...Amazon Web Services
 
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018Amazon Web Services
 
Architecture Patterns of Serverless Microservices (ARC304-R1) - AWS re:Invent...
Architecture Patterns of Serverless Microservices (ARC304-R1) - AWS re:Invent...Architecture Patterns of Serverless Microservices (ARC304-R1) - AWS re:Invent...
Architecture Patterns of Serverless Microservices (ARC304-R1) - AWS re:Invent...Amazon Web Services
 
Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...
Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...
Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...Amazon Web Services
 
Closing Loops and Opening Minds: How to Take Control of Systems, Big and Smal...
Closing Loops and Opening Minds: How to Take Control of Systems, Big and Smal...Closing Loops and Opening Minds: How to Take Control of Systems, Big and Smal...
Closing Loops and Opening Minds: How to Take Control of Systems, Big and Smal...Amazon Web Services
 
Architecting for Real-Time Insights with Amazon Kinesis (ANT310) - AWS re:Inv...
Architecting for Real-Time Insights with Amazon Kinesis (ANT310) - AWS re:Inv...Architecting for Real-Time Insights with Amazon Kinesis (ANT310) - AWS re:Inv...
Architecting for Real-Time Insights with Amazon Kinesis (ANT310) - AWS re:Inv...Amazon Web Services
 
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...Amazon Web Services
 
Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018
Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018
Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018Amazon Web Services
 
Work Anywhere with Amazon Workspaces (Level: 200)
Work Anywhere with Amazon Workspaces (Level: 200)Work Anywhere with Amazon Workspaces (Level: 200)
Work Anywhere with Amazon Workspaces (Level: 200)Amazon Web Services
 

What's hot (20)

Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...
Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...
Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...
 
SaaS Analytics and Metrics: Capturing and Surfacing the Data That's Fundament...
SaaS Analytics and Metrics: Capturing and Surfacing the Data That's Fundament...SaaS Analytics and Metrics: Capturing and Surfacing the Data That's Fundament...
SaaS Analytics and Metrics: Capturing and Surfacing the Data That's Fundament...
 
Optimize Amazon EC2 Instances, AWS Fargate Containers, & Lambda Functions (CM...
Optimize Amazon EC2 Instances, AWS Fargate Containers, & Lambda Functions (CM...Optimize Amazon EC2 Instances, AWS Fargate Containers, & Lambda Functions (CM...
Optimize Amazon EC2 Instances, AWS Fargate Containers, & Lambda Functions (CM...
 
Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...
Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...
Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances wi...
 
Ask an Amazon Redshift Customer Anything (ANT389) - AWS re:Invent 2018
Ask an Amazon Redshift Customer Anything (ANT389) - AWS re:Invent 2018Ask an Amazon Redshift Customer Anything (ANT389) - AWS re:Invent 2018
Ask an Amazon Redshift Customer Anything (ANT389) - AWS re:Invent 2018
 
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018
 
Pushing Amazon RDS to the Limit (WPS337) - AWS re:Invent 2018
Pushing Amazon RDS to the Limit (WPS337) - AWS re:Invent 2018Pushing Amazon RDS to the Limit (WPS337) - AWS re:Invent 2018
Pushing Amazon RDS to the Limit (WPS337) - AWS re:Invent 2018
 
Cost Optimization Tooling (ARC301) - AWS re:Invent 2018
Cost Optimization Tooling (ARC301) - AWS re:Invent 2018Cost Optimization Tooling (ARC301) - AWS re:Invent 2018
Cost Optimization Tooling (ARC301) - AWS re:Invent 2018
 
Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018
Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018
Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018
 
Optimize Your Oracle Licenses on Amazon Web Services (DAT211) - AWS re:Invent...
Optimize Your Oracle Licenses on Amazon Web Services (DAT211) - AWS re:Invent...Optimize Your Oracle Licenses on Amazon Web Services (DAT211) - AWS re:Invent...
Optimize Your Oracle Licenses on Amazon Web Services (DAT211) - AWS re:Invent...
 
Redshift Advisor Quick Start: Recommendations on Tuning Your Data Warehouse (...
Redshift Advisor Quick Start: Recommendations on Tuning Your Data Warehouse (...Redshift Advisor Quick Start: Recommendations on Tuning Your Data Warehouse (...
Redshift Advisor Quick Start: Recommendations on Tuning Your Data Warehouse (...
 
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...
 
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018
 
Architecture Patterns of Serverless Microservices (ARC304-R1) - AWS re:Invent...
Architecture Patterns of Serverless Microservices (ARC304-R1) - AWS re:Invent...Architecture Patterns of Serverless Microservices (ARC304-R1) - AWS re:Invent...
Architecture Patterns of Serverless Microservices (ARC304-R1) - AWS re:Invent...
 
Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...
Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...
Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...
 
Closing Loops and Opening Minds: How to Take Control of Systems, Big and Smal...
Closing Loops and Opening Minds: How to Take Control of Systems, Big and Smal...Closing Loops and Opening Minds: How to Take Control of Systems, Big and Smal...
Closing Loops and Opening Minds: How to Take Control of Systems, Big and Smal...
 
Architecting for Real-Time Insights with Amazon Kinesis (ANT310) - AWS re:Inv...
Architecting for Real-Time Insights with Amazon Kinesis (ANT310) - AWS re:Inv...Architecting for Real-Time Insights with Amazon Kinesis (ANT310) - AWS re:Inv...
Architecting for Real-Time Insights with Amazon Kinesis (ANT310) - AWS re:Inv...
 
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...
 
Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018
Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018
Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018
 
Work Anywhere with Amazon Workspaces (Level: 200)
Work Anywhere with Amazon Workspaces (Level: 200)Work Anywhere with Amazon Workspaces (Level: 200)
Work Anywhere with Amazon Workspaces (Level: 200)
 

Similar to The Amazon.com Database Journey to AWS – Top 10 Lessons Learned (DAT326) - AWS re:Invent 2018

Delivering Mission Assurance in the Federal Government through Cloud Technology
Delivering Mission Assurance in the Federal Government through Cloud TechnologyDelivering Mission Assurance in the Federal Government through Cloud Technology
Delivering Mission Assurance in the Federal Government through Cloud TechnologyAmazon Web Services
 
Connecting the dots - How Amazon Neptune and Graph Databases can transform yo...
Connecting the dots - How Amazon Neptune and Graph Databases can transform yo...Connecting the dots - How Amazon Neptune and Graph Databases can transform yo...
Connecting the dots - How Amazon Neptune and Graph Databases can transform yo...Amazon Web Services
 
NetApp Cloud Data Services & AWS Empower Your Cloud Champions
NetApp Cloud Data Services & AWS Empower Your Cloud ChampionsNetApp Cloud Data Services & AWS Empower Your Cloud Champions
NetApp Cloud Data Services & AWS Empower Your Cloud ChampionsAmazon Web Services
 
Citrix Moves Data to Amazon Redshift Fast with Matillion ETL
 Citrix Moves Data to Amazon Redshift Fast with Matillion ETL Citrix Moves Data to Amazon Redshift Fast with Matillion ETL
Citrix Moves Data to Amazon Redshift Fast with Matillion ETLAmazon Web Services
 
Database Freedom. Database migration approaches to get to the Cloud - Marcus ...
Database Freedom. Database migration approaches to get to the Cloud - Marcus ...Database Freedom. Database migration approaches to get to the Cloud - Marcus ...
Database Freedom. Database migration approaches to get to the Cloud - Marcus ...Amazon Web Services
 
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...Amazon Web Services
 
Building Data Lakes for Analytics on AWS
Building Data Lakes for Analytics on AWSBuilding Data Lakes for Analytics on AWS
Building Data Lakes for Analytics on AWSAmazon Web Services
 
Using AWS Purpose-Built Databases to Modernize your Applications
Using AWS Purpose-Built Databases to Modernize your ApplicationsUsing AWS Purpose-Built Databases to Modernize your Applications
Using AWS Purpose-Built Databases to Modernize your ApplicationsAmazon Web Services
 
Dissecting Media Asset Management Architecture and Media Archive TCO (MAE301)...
Dissecting Media Asset Management Architecture and Media Archive TCO (MAE301)...Dissecting Media Asset Management Architecture and Media Archive TCO (MAE301)...
Dissecting Media Asset Management Architecture and Media Archive TCO (MAE301)...Amazon Web Services
 
What’s new with Amazon Redshift, featuring ZS Associates - ADB205 - Chicago A...
What’s new with Amazon Redshift, featuring ZS Associates - ADB205 - Chicago A...What’s new with Amazon Redshift, featuring ZS Associates - ADB205 - Chicago A...
What’s new with Amazon Redshift, featuring ZS Associates - ADB205 - Chicago A...Amazon Web Services
 
Databases - Choosing the right Database on AWS
Databases - Choosing the right Database on AWSDatabases - Choosing the right Database on AWS
Databases - Choosing the right Database on AWSAmazon Web Services
 
McGraw-Hill Optimizes Analytics Workloads with Databricks
 McGraw-Hill Optimizes Analytics Workloads with Databricks McGraw-Hill Optimizes Analytics Workloads with Databricks
McGraw-Hill Optimizes Analytics Workloads with DatabricksAmazon Web Services
 
Fanatics Ingests Streaming Data to a Data Lake on AWS
Fanatics Ingests Streaming Data to a Data Lake on AWSFanatics Ingests Streaming Data to a Data Lake on AWS
Fanatics Ingests Streaming Data to a Data Lake on AWSAmazon Web Services
 
Accelerate Database Migration to AWS with DB Best
 Accelerate Database Migration to AWS with DB Best Accelerate Database Migration to AWS with DB Best
Accelerate Database Migration to AWS with DB BestAmazon Web Services
 
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)Amazon Web Services
 
Building a Data Lake for Your Enterprise, ft. Sysco (STG309) - AWS re:Invent ...
Building a Data Lake for Your Enterprise, ft. Sysco (STG309) - AWS re:Invent ...Building a Data Lake for Your Enterprise, ft. Sysco (STG309) - AWS re:Invent ...
Building a Data Lake for Your Enterprise, ft. Sysco (STG309) - AWS re:Invent ...Amazon Web Services
 
在 AWS 上構建無服務器分析
在 AWS 上構建無服務器分析在 AWS 上構建無服務器分析
在 AWS 上構建無服務器分析Amazon Web Services
 
Preparing Your Data for Cloud Analytics & AI/ML
Preparing Your Data for Cloud Analytics & AI/MLPreparing Your Data for Cloud Analytics & AI/ML
Preparing Your Data for Cloud Analytics & AI/MLAmazon Web Services
 

Similar to The Amazon.com Database Journey to AWS – Top 10 Lessons Learned (DAT326) - AWS re:Invent 2018 (20)

Delivering Mission Assurance in the Federal Government through Cloud Technology
Delivering Mission Assurance in the Federal Government through Cloud TechnologyDelivering Mission Assurance in the Federal Government through Cloud Technology
Delivering Mission Assurance in the Federal Government through Cloud Technology
 
Connecting the dots - How Amazon Neptune and Graph Databases can transform yo...
Connecting the dots - How Amazon Neptune and Graph Databases can transform yo...Connecting the dots - How Amazon Neptune and Graph Databases can transform yo...
Connecting the dots - How Amazon Neptune and Graph Databases can transform yo...
 
NetApp Cloud Data Services & AWS Empower Your Cloud Champions
NetApp Cloud Data Services & AWS Empower Your Cloud ChampionsNetApp Cloud Data Services & AWS Empower Your Cloud Champions
NetApp Cloud Data Services & AWS Empower Your Cloud Champions
 
Citrix Moves Data to Amazon Redshift Fast with Matillion ETL
 Citrix Moves Data to Amazon Redshift Fast with Matillion ETL Citrix Moves Data to Amazon Redshift Fast with Matillion ETL
Citrix Moves Data to Amazon Redshift Fast with Matillion ETL
 
Database Freedom. Database migration approaches to get to the Cloud - Marcus ...
Database Freedom. Database migration approaches to get to the Cloud - Marcus ...Database Freedom. Database migration approaches to get to the Cloud - Marcus ...
Database Freedom. Database migration approaches to get to the Cloud - Marcus ...
 
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
 
Building Data Lakes for Analytics on AWS
Building Data Lakes for Analytics on AWSBuilding Data Lakes for Analytics on AWS
Building Data Lakes for Analytics on AWS
 
Using AWS Purpose-Built Databases to Modernize your Applications
Using AWS Purpose-Built Databases to Modernize your ApplicationsUsing AWS Purpose-Built Databases to Modernize your Applications
Using AWS Purpose-Built Databases to Modernize your Applications
 
Dissecting Media Asset Management Architecture and Media Archive TCO (MAE301)...
Dissecting Media Asset Management Architecture and Media Archive TCO (MAE301)...Dissecting Media Asset Management Architecture and Media Archive TCO (MAE301)...
Dissecting Media Asset Management Architecture and Media Archive TCO (MAE301)...
 
What’s new with Amazon Redshift, featuring ZS Associates - ADB205 - Chicago A...
What’s new with Amazon Redshift, featuring ZS Associates - ADB205 - Chicago A...What’s new with Amazon Redshift, featuring ZS Associates - ADB205 - Chicago A...
What’s new with Amazon Redshift, featuring ZS Associates - ADB205 - Chicago A...
 
Databases - Choosing the right Database on AWS
Databases - Choosing the right Database on AWSDatabases - Choosing the right Database on AWS
Databases - Choosing the right Database on AWS
 
McGraw-Hill Optimizes Analytics Workloads with Databricks
 McGraw-Hill Optimizes Analytics Workloads with Databricks McGraw-Hill Optimizes Analytics Workloads with Databricks
McGraw-Hill Optimizes Analytics Workloads with Databricks
 
Fanatics Ingests Streaming Data to a Data Lake on AWS
Fanatics Ingests Streaming Data to a Data Lake on AWSFanatics Ingests Streaming Data to a Data Lake on AWS
Fanatics Ingests Streaming Data to a Data Lake on AWS
 
Accelerate Database Migration to AWS with DB Best
 Accelerate Database Migration to AWS with DB Best Accelerate Database Migration to AWS with DB Best
Accelerate Database Migration to AWS with DB Best
 
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)
雲上打造資料湖 (Data Lake):智能化駕馭商機 (Level 300)
 
Building a Data Lake for Your Enterprise, ft. Sysco (STG309) - AWS re:Invent ...
Building a Data Lake for Your Enterprise, ft. Sysco (STG309) - AWS re:Invent ...Building a Data Lake for Your Enterprise, ft. Sysco (STG309) - AWS re:Invent ...
Building a Data Lake for Your Enterprise, ft. Sysco (STG309) - AWS re:Invent ...
 
在 AWS 上構建無服務器分析
在 AWS 上構建無服務器分析在 AWS 上構建無服務器分析
在 AWS 上構建無服務器分析
 
Preparing Your Data for Cloud Analytics & AI/ML
Preparing Your Data for Cloud Analytics & AI/MLPreparing Your Data for Cloud Analytics & AI/ML
Preparing Your Data for Cloud Analytics & AI/ML
 
Cloud Economics
Cloud EconomicsCloud Economics
Cloud Economics
 
BI & Analytics
BI & AnalyticsBI & Analytics
BI & Analytics
 

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
 

The Amazon.com Database Journey to AWS – Top 10 Lessons Learned (DAT326) - AWS re:Invent 2018

  • 1.
  • 2. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. D A T 3 2 6 The Amazon.com Database Journey to AWS – Top 10 Lessons Learned Thomas Park Sr. Manager Big Data Technologies Amazon.com Doug Booth Sr. Technical Biz Dev Manager Amazon Web Services
  • 3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Motivations • Database sprawl because of growing service throughput was creating more and more work for infrastructure teams • Expensive and punitive licensing costs: millions in 2017 alone and projected to grow 10 percent annually • Complicated, expensive, and error-prone database administration • Complicated and inefficient hardware provisioning • Capacity planning • Diversify and leverage the value of the cloud • Scaling & performance
  • 4. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. DW clusters Catalog Inventory Transactions Clickstream Marketing ETLM Scheduler Dependency Handler Users DWOPS BIMDATADWEXPL Source OLTP DBs Amazon S3 EDX Oracle Oracle Oracle Oracle RAC DBLink DBLink Apps DataNet Grasshopper BI-Metadata/BiCON DW-Pipelines Cost Explorer/BDT Billing Service
  • 5. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Lessons learned 1.Increase your visibility 2.Accelerate executive support 3.Get the support of Oracle and SQL DBAs 4.Create force multipliers 5.Work closely with AWS 6.Address FUD and real technical issues 7.Compare cost to value – lowest cost may not always deliver highest value 8.Win with projects that demonstrate cost efficiency 9.Enterprise fleet management 10.Be flexible and celebrate the wins!
  • 6. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. How to choose
  • 7. Thank you! © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 8. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.