Big Data Analytics with AWS

Collect. Store. Analyze.

A broad spectrum of industries is taking advantage of Amazon Web Services to build Big Data Analytics to meet the ever increasing volume being generate. With Amazon Web Services we have a complete end-to-end suite of big data services to meet these needs – all on-demand, on the cloud, and with scale. Big Data with AWS provides solutions for every stage of the Big Data lifecycle. From Collection, Streaming and Storage, using relational databases, managed warehouse, NoSQL and processing real-time data streams and elastic Hadoop processing.

Some of our Clients

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Amazon Redshift

Client Success Stories

Storage

Whether you are storing financial data or advertising data with AWS S3 you have durable, cost effective, scalable and accessible storage available. For longer term archival the AWS Glacier service is well-suited. For getting your own block storage there is the AWS EBS service. Collectively these provide storage solution for any need.

Databases

Amazon Redshift provides fast, petabyte-scalable, fully managed Data Warehouse as a service for fraction of price. Enough to hold any and all kinds of Big Data. Coupled with Dynamo DB for NoSQL storage and managed RDMBS instances there is a full spectrum available for the Data Warehouse in the cloud.

ETL Processing

The powerful Apache Hadoop framework is available with Elastic Map Reduce (EMR) as a managed and auto-scaling service. Allows you to run your Big Data workloads in the cloud with ease. With the launch of AWS Kinesis you have the ability to process real-time large streams of Big Data alleviating you from the hassle of infrastructure.

Introduction to Amazon Redshift

NorthBay – Strategic AWS Partner

Our Approach

Discovery

Define Outcomes/KPIs

Data Warehouse Design

Data Collection & Ingestion

Quality Assurance

BI Reports & Views

 

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