Amazon teams with Accenture for cloud consulting and adds new AWS data services

Amazon teams with Accenture for cloud consulting and adds new AWS data services

Amazon Web Services (AWS) has partnered with Accenture in a new business group aimed at helping customers migrate infrastructure to the cloud. The firm also detailed new services to aid the transfer of large volumes of data to the AWS cloud, along with new business intelligence and database services.

Announced to coincide with Amazon’s AWS re:Invent user conference in Las Vegas, the new Accenture AWS Business Group brings together professionals with cloud expertise from both companies to offer integrated consulting and technology solutions to help enterprises make the step to an IT-as-a-service operating model.

The two firms plan to invest significant resources over the coming years in the development of new services and solutions, such as application migration and development, cloud-based enterprise applications, and analytics and big data processing.

The aim, naturally enough, is to get organisations to migrate IT services onto the AWS cloud.

“The Accenture AWS Business Group has been created to empower organisations to rapidly achieve the agility benefits of moving to AWS so they can eliminate the undifferentiated heavy lifting of managing their IT infrastructure and instead focus on adopting new IT operating models, addressing new market opportunities, and growing their business, at the same time reducing their overall IT costs,” said Adam Selipsky, vice president of sales, marketing and support at AWS.

Initially, the new business group will focus on two main areas: transformation services to help customers move existing workloads to AWS quickly; and analytics and big data services. The Accenture Insights Platform will be expanded to integrate AWS data and analytics capabilities.

Amazon also introduced the AWS Snowball and Amazon Kinesis Firehose services to help customers get large volumes of data onto the AWS cloud.

Snowball, Kinesis and QuickSight

AWS Snowball is designed to help customers transfer existing data sets to AWS, and provides a secure storage appliance for the purpose. This can be connected to their network and loaded with up to 50TB of data using a simple data transfer client, then shipped back to AWS.

In contrast, Amazon Kinesis Firehose can be used to capture data from hundreds of thousands of different sources and load it directly into AWS, in real time. To take advantage, customers simply create an Amazon Kinesis Firehose Delivery Stream in their AWS Management Console and specify a target Amazon S3 bucket or Amazon Redshift table, plus the frequency they want fresh data to be captured.

Meanwhile, AWS introduced Amazon QuickSight, a cloud-powered business intelligence service intended to make it easy for anyone to quickly get business insights from data.

Amazon QuickSight integrates with AWS data services, automatically discovering customer data stored in Amazon Redshift, Amazon RDS, Amazon S3, Amazon DynamoDB, Amazon Elastic MapReduce and Amazon Kinesis, the firm said.

Prices for Amazon QuickSight start at $9 per user per month, which is claimed to be a fraction of the cost of traditional business intelligence solutions.

AWS also announced two new database services. The first is support for the MariaDB database, an open source alternative to MySQL, as a database engine option for the Amazon Relational Database Service.

The second is a preview of the AWS Database Migration Service, intended to help customers move a database from on-premise to AWS. This can be done by doing a forklift migration of the entire database along with its data, or migrating the data to one of Amazon’s database services.

An AWS Schema Conversion Tool is available to make it easier for customers to switch database engines.

The AWS Database Migration Service handles all the tasks involved in moving data and completing the migration, and allows customers to migrate a 1TB database from on-premise to AWS for as little as $3, the firm claimed.

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8 October 2015 | 1:35 pm – Source: v3.co.uk

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