Amazon Elastic Compute Cloud (Amazon EC2) instances provide scalable computing capacity in the Amazon Web Services (AWS) cloud. You can launch as many or as few virtual servers as you need with zero investment on hardware. You can configure security and networking, and manage storage. Amazon EC2 enables you to scale up or down to handle changes in requirements or spikes in popularity, reducing your need to forecast traffic.

Big Data Management can be deployed on Amazon EC2 with the ability to scale up and scale down the environment based on requirements. Big Data Management can be deployed in a mixed environment that contains on-premises machines and Amazon EC2 instances.

Amazon Simple Storage Service (S3) is easy-to-use object storage with a simple web service interface to store and retrieve any amount of data from anywhere on the web.

Big Data Management provides native, high-volume connectivity to Amazon S3 and support for Hive on S3. It is designed and optimized for big data integration between cloud and on-premise data sources to S3 as object stores.

Amazon Redshift is a cloud-based, fast, fully managed, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all data using existing business intelligence tools. Informatica’s PowerExchange for Amazon Redshift connector allow users to securely read data from or write data to Amazon Redshift.

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS provides you with several familiar database engines to choose from, including Amazon Aurora, Oracle, Microsoft SQL Server, PostgreSQL, MySQL, and MariaDB.

Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.

AWS Direct Connect makes it easy to establish a dedicated network connection from your premises to AWS. Using AWS Direct Connect, you can establish private connectivity between AWS and your datacenter, office, or colocation environment, which in many cases can reduce your network costs, increase bandwidth throughput, and provide a more consistent network experience than Internet-based connections.

Amazon Virtual Private Cloud (Amazon VPC) lets you provision a logically isolated section of the Amazon Web Services (AWS) cloud where you can launch AWS resources in a virtual network that you define. You have complete control over your virtual networking environment, including selection of your own IP address range, creation of subnets, and configuration of route tables and network gateways.

You can easily customize the network configuration for your Amazon Virtual Private Cloud. For example, you can create a public-facing subnet for your web servers that has access to the Internet, and place your back end systems such as databases or application servers in a private facing subnet with no Internet access. You can leverage multiple layers of security, including security groups and network access control lists, to help control access to Amazon EC2 & EMR instances in each subnet.