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There are more ways to analyze data than ever before
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How do I provide democratized access to data to enable informed decisions while at the same time enforce data governance and prevent mismanagement of the data?
Data is more valuable than ever before. Organizations that mine data create more business value than others
Hadoop Elasticsearch Presto Spark
Democratization of data
Governance& control
There are more people working with data than ever beforeThere is more data than people think
Innovation• Database and analytics portfolio discovery and assessment• Improved automation with migration tools to reduce level of manual effort• Purpose built database and analytics services to meet your business needs
Expertise
• Complement your existing data and analytics teams with AWS migration specialists i.e. AWS Professional Services, System Integrators, Architects
• Reduce migration timeline by leveraging best practices as documented in Migration Playbooks
• Reduce risk and cost of migration efforts by utilizing POC/Pilot credits• Build migration business case by taking advantage of generous financial incentives and reduce
legacy database vendor licensing costs• Kick-off your migration journey by leveraging AWS and partner resources
Customers are migrating their workloads to AWSVerizon is migrating over 1,000 business-critical applications and database backend systems to AWS, several of which also include the migration of production databases to Amazon Aurora.
By migrating from Microsoft SQL Server to Amazon Aurora, Ryanair can run one of the largest email campaigns in Europe with higher performance at a fraction of the cost, sending out 22 million emails daily to customers.
Trimble migrated their Oracle databases to Amazon RDS and project they will pay about 1/4th of what they paid when managing their private infrastructure.
Intuit migrated from Microsoft SQL Server to Amazon Redshift to reduce data-processing timelines and get insights to decision makers faster and more frequently.
Equinox Fitness migrated its Teradata on-premises data warehouse to Amazon Redshift. They went from static reports to a modern data lake that delivers dynamic reports.
Migrated their Market Data system from SQL Server to Aurora MySQL using AWS Database Migration Service(DMS) to replicate data nightly. Reduces their processing times from 8 hours to 3 hours.
Amazon.com migrated 100% of their fulfillment centers from Oracle DBs to Amazon Aurora. They migrated their 50PB of Oracle Data Warehouse to AWS (Amazon S3, Amazon Redshift, Amazon EMR).
Samsung Electronics migrated their Cassandra clusters to Amazon DynamoDB for their Samsung Cloud workload with 70% cost savings.
Workload Qualification Framework (WQF)WQF is a framework that includes a questionnaire, and design review guidance that Solutions Architects, System Integrators can use to classify workloads
• Determine ease of migration, staff-hour consumption and target AWS database services
• There are two main types of database workloads:
• Online Transaction Processing (OLTP): many small/fast transactions and queries via indexes that return few rows
• Data Warehouse (DW): interactive and long-running queries that scan millions of rows and batched updates
• WQF classifies OLTP and DW workloads into five categories:
Category 1 Standards based database access Candidate for Re-Factor
Category 2 Light, proprietary feature workloads Candidate for Re-Factor
Category 3 Heavy, proprietary feature workloads Candidate for Re-Factor/Re-Platform
Category 4 Engine-specific workloads Candidate for Re-Platform/Re-Host
Category 5 Non-portable, high-risk or lift-and-shift Candidate for Re-Host
Legacy Databases to AWS Migration Playbooks• Topic-by-topic overview of how to migrate databases and data
warehouses to AWS services• Covers all proprietary features and the different database objects• Migration best practices• Oracle to Aurora PostgreSQL – available• SQL Server to Aurora MySQL – available• SQL Server to Aurora PostgreSQL – available• Oracle to Aurora MySQL – Q2• Cassandra to DynamoDB, Data warehouses to Redshift, and Db2