Webinar #3 of Season 2 focuses on the value of Data Platform Modernisation with AWS Lake Formation.
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Data mesh can help you to democratise data and move data ownership closer to the teams who work daily with that data.
Modularity and flexibility bring you speed and reduces time-to-market for new solutions.
In recent years, data lakes have been seen as the natural response to challenges that organisations were facing such as data silos, over-increasing data volumes, increasing complexity of data sources and many others.
However, experience has showed that data lakes themselves have common failure modes at scale. Quite often they gather huge amounts of data, but often of poor quality and not documented, which makes it hard to use. The presumed democratisation of data is oftentimes an illusion, as users have to rely on a central team and jump through several hoops to get access to data. Even more, users are often constrained to use whatever technological stack that has been chosen for the central platform and that’s often not the best solution.
Organisations that want to drive data democratisation and data maturity can get real value from a data mesh architecture, with benefits such as:
Improved access to data by various teams offer users a curated catalogue of internally and externally prepared data.
Data sources are produced and curated by experts who really know the data, which greatly improves data quality.
More agility and better access to data mean less time to deliver new initiatives.
Different teams can adopt the stack they're most comfortable with using.
Centralised security, governance and operations
Better view and control of who can access the data.
Accurate cost distribution
Precisely allocate costs to individual teams.
Data Reply is a Premier AWS partner offering a broad range of advanced analytics, AI ML and data processing services. Data Reply is part of the AWS ‘Well Architected programme’.
The Data Reply approach allows to qualify what modern data architecture is the most suitable for the organisation and to bring it to life with a design that includes technical, operational and organisational aspects.
Phase 1
Qualification
Phase 2
Solution Design
Phase 3
Pilot
Phase 4
Full Adoption
Establish whether data mesh is the right approach for the organisation (free of charge).
Outline the technical and process design to evolve to data mesh.
Show the results on a smaller scale.
Evolve the whole data platform to the data mesh architecture to start reaping the benefits
Target data mesh solution architecture
Recommendations document (processes, tools, working best practices, evolution steps)
Implementation roadmap aligned with client’s business goals
A sales-enablement platform company wanted to become more data-driven and enable a company-wide data democratisation. We have worked with them to evolve their DWH-based data platform to a flexible and scalable data mesh solution. They’re already seeing the benefits with a 50% reduction in infrastructure costs.
One of the major global sportswear brands was an early adopter of cloud data platform, but started to realise the limitations of a standard data lake approach at scale. They have asked us to drive a Pilot implementation of the data mesh, that has provided them with a clear view of how this architecture might alleviate some of their existing challenges.
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Data Reply
Data Reply is a Reply Group company, a premier AWS partner, offering a broad range of advanced analytics, AI ML and data processing services. We operate across different industries and business functions, enabling our customers to achieve meaningful business outcomes through effective use of data, accelerating innovation and time to value.
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.