AWS - Cloud Computing
Why Amazon Web Services (AWS)?
The cloud approach to managing IT infrastructures for enterprises is becoming more in demand, particularly as the rate of development and need for unlimited scalability continues to grow. The services provided by AWS have several advantages such as scalability, security, and cost savings. Seapark wants to help enterprises identify and leverage the services that best suit their needs, allowing them to focus on their unique core operations, respond faster to changing landscapes and save money.
What is AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centres globally. Millions of customers—including the fastest-growing start-ups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. Seaparks team of certified AWS professionals in partnership with AWS hope to help your organisation build a viable business intelligence solution to gain meaningful insights from your existing or new data sources, helping you to remain agile and innovative.
AWS Well Architected Framework
The AWS Well-Architected Framework helps Seapark ensure that we help our customers build secure, high-performing, resilient and efficient infrastructure by measuring the architectures produced against AWS best practices.
The Well-Architected Framework rests on six pillars: Operational Excellence, Security, Cost Optimisation, Reliability, Performance Efficiency and Sustainability.
How can Enterprises Utilize the Power of the Cloud?
Data Warehousing
With AWS data warehousing architectures, you can increase query performance while decreasing the cost of running queries. Data transformations (ETL) can be performed with ease by EMR by leveraging the power of the Apache Hadoop framework. Refined data can then be stored in RedShift for analysis by tools such as QuickSight, which allows everyone in your organisation to understand the data by asking questions in natural language.
Smart Applications
Amazon machine learning services allow you to easily add predictive capabilities to your architecture. Amazon Kinesis can easily ingest data from a variety of sources in real-time and by using a combination of Lambda functions and ML you can generate predictions based on the data ingested.
Event Driven Extract, Transform and Load (ETL)
AWS Lambda can be used to perform data transformations (sort, join, aggregate and much more) on new incoming data. The transformed data can then be loaded to Amazon Redshift for further analysis improving your ability to make key business decisions.
On Demand Big Data Analytics
AWS gives you the power to build a complete analytical architecture to power your business forward and make key business decisions in real-time. Hadoop clusters can be scaled from 0 to hundreds in just a few minutes. This architecture can then simply be turned off when not needed. Therefore, there is no need to maintain, manage and run a big data infrastructure when it is not needed by your business.
Clickstream Analysis
Your customers deserve a comprehensive digital experience, and you deserve to have a better understanding of your website’s key metrics. With Amazon services you can collect, process and analysis your clickstream data in real-time and tailor the content rendered to the individual reader.
