The Challenge

As an organisations data footprint continues to evolve and get larger, it must be able to utilise datasources to make data driven decisions, drive innovation and reduce costs across the company. Traditionally, this has been a difficult challenge to overcome because of

• limited capabilities with on-premise/private cloud storage,
• hard to use legacy tooling,
• difficult integrations with existing systems,
• disparate datasources, seperated by networks and security controls and
• a lack of understanding of an organisations data.

The Approach

Mobilise have a proven track record of performing data led migrations across central government and the public sector, and now with AWS MAP funding - this offering is even more appetising to customers. There are three primary steps involved in a data led migration

• Migration to a Data Lake,
• Set up of Analytics,
• Leverage AI and ML services

By using a Data Lake as the primary store of data, both unstructured and structured data can be stored indefinitely - without the need to define how it will be used in the future. This allows organisations to rapidly migrate their data to the cloud (in days), so they can take advantage of AWS services to catalog, transform and load it into further data services. Additionally, an AWS Data Lake provides enterprise grade security controls to establish governance on how data is accessed and used - even down to the granular row level.

Next, AWS Glue can be used to automate the transformation and loading of data from the Data Lake into analytical services using a low-code approach to data flow jobs. Services such as RedShift (Data Warehouse), Elasticsearch and Athena can be used to analyse data to produce valuable insights.

This approach enables customers to realise their data challanges, namely

1. That data is growing exponentially and cost effective, scalable cloud storage with built in archiving is the perfect place to store it,
2. Integrating datasources is hard, but AWS Glue simplifies the process using built in connectors and a low-code approach,
3. Datasources are becoming increasingly diverse and often have as yet unknown benefits to the customer, Data Lakes allow for storage of massive quantities of unstructured data for future use,
4. Data needs to be used by many people to drive innovation within an organisation. AWS Lake Formation and surrounding security controls make it easy to establish least privilege access policies using role based access controls,
5. Data needs to be analysed by many applications. The collection of AWS analytical offerings are designed to cover a breadth of data use cases including AI and ML powered analysis.

Why Choose an AWS Data Led Migration?

AWS currently houses more data lakes and analytical services that any other cloud provide, with tens of thousands of data lakes run across all industries. AWS is

• The easiest place to build data lakes and analytics,
• Comprises of the most secure infrastructure,
• Most comprehensive and open cloud provider, and
• Has some of the most scalable and cost effective solutions.

This, coupled with the new Data Led Migration funding available to customers makes an AWS Data Led Migration with Mobilise a proven, cost-effective and secure choice.