AWS Cloud Enablement

AWS DATABASE MIGRATION

Due to their high license and support costs, enterprise databases often end up supporting multiple applications. When migrating these applications to AWS, the burdensome high costs persist for many organizations. dbSeer helps clients analyze their database needs and recommends decoupling strategies that allow better usage of open source alternatives. This can lead to significant cost savings with better scalability, reliability, and performance.

Amazon Relational Database Service (Amazon RDS) provides cost-efficient and resizable capacity, along with fast performance, high availability, security, and compatibility for your applications. Amazon RDS provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.

AWS DATABASE MIGRATION

Due to their high license and support costs, enterprise databases often end up supporting multiple applications. When migrating these applications to AWS, the burdensome high costs persist for many organizations. dbSeer helps clients analyze their database needs and recommends decoupling strategies that allow better usage of open source alternatives. This can lead to significant cost savings with better scalability, reliability, and performance.

Amazon Relational Database Service (Amazon RDS) provides cost-efficient and resizable capacity, along with fast performance, high availability, security, and compatibility for your applications. Amazon RDS provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.

AWS DATABASE AND DATA WAREHOUSE DESIGN

Building modern data warehouses in AWS can deliver improved productivity and reduced costs. With the new technologies that are available in AWS, the data warehouse design process becomes critical. Expert advice is required in order to reduce the implementation time and achieve the best possible structure.

dbSeer helps you properly design your AWS architecture to maximize utility and minimize costs. With Amazon Redshift, a fully managed data warehouse, you can analyze all your data using standard SQL and your existing business intelligence tools. Additionally, Amazon Aurora, a MySQL and PostgreSQL-compatible relational database engine, provides speed and availability along with simplicity and cost-effectiveness.

AWS DATABASE AND DATA WAREHOUSE DESIGN

Building modern data warehouses in AWS can deliver improved productivity and reduced costs. With the new technologies that are available in AWS, the data warehouse design process becomes critical. Expert advice is required in order to reduce the implementation time and achieve the best possible structure.

dbSeer helps you properly design your AWS architecture to maximize utility and minimize costs. With Amazon Redshift, a fully managed data warehouse, you can analyze all your data using standard SQL and your existing business intelligence tools. Additionally, Amazon Aurora, a MySQL and PostgreSQL-compatible relational database engine, provides speed and availability along with simplicity and cost-effectiveness.

AWS ELASTIC DATA PROCESSING FRAMEWORK

A key benefit to AWS is pay-per-use. But to fully leverage this benefit, you must ensure you’re not using more than necessary, and that requires the expertise of a knowledgeable AWS partner.

dbSeer’s data processing service helps clients transform and enrich their data in the AWS environment. By designing an architecture to maximize cost-saving opportunities, dbSeer has helped clients reduce costs up to 80% beyond a “lift and shift.” Our framework uses Amazon elastic capabilities, including Amazon Simple work flow for activity orchestration and Amazon S3 for storage to expand the computing size when needed.

AWS ELASTIC DATA PROCESSING FRAMEWORK

A key benefit to AWS is pay-per-use. But to fully leverage this benefit, you must ensure you’re not using more than necessary, and that requires the expertise of a knowledgeable AWS partner.

dbSeer’s data processing service helps clients transform and enrich their data in the AWS environment. By designing an architecture to maximize cost-saving opportunities, dbSeer has helped clients reduce costs up to 80% beyond a “lift and shift.” Our framework uses Amazon elastic capabilities, including Amazon Simple work flow for activity orchestration and Amazon S3 for storage to expand the computing size when needed.

AWS BIG DATA ANALYTICS

Many organizations need to process millions to billions of records from different data sources at increasingly faster rates. As big data technologies have continued to advance, costs have been slashed – sometimes by orders of magnitude. dbSeer’s big data architects and engineers can help offload your ETL tasks from your existing data warehouse or build new big data analytics applications that deliver:

· Distributed processing with Apache Hadoop/ EMR

· Interactive discovery for large scale data using Amazon Elastic Search

· In-memory and streaming analytics with Apache Spark

· Ability to collect, process, and analyze real-time, streaming data with Amazon Kinesis

AWS BIG DATA ANALYTICS

Many organizations need to process millions to billions of records from different data sources at increasingly faster rates. As big data technologies have continued to advance, costs have been slashed – sometimes by orders of magnitude. dbSeer’s big data architects and engineers can help offload your ETL tasks from your existing data warehouse or build new big data analytics applications that deliver:

  • Distributed processing with Apache Hadoop/ EMR
  • Interactive discovery for large scale data using Amazon Elastic Search
  • In-memory and streaming analytics with Apache Spark
  • Ability to collect, process, and analyze real-time, streaming data with Amazon Kinesis