Data Mesh As a Modern Data Platform

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Overview

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.

Why Data Mesh?

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.

DATA MESH OPPORTUNITY ON AWS

Organisations that want to drive data democratisation and data maturity can get real value from a data mesh architecture, with benefits such as:

Why Data Reply and Our Approach

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.

The Data Reply approach
  • Phase 1 - Qualification: establish whether data mesh is the right approach for the organisation (free of charge)
  • Phase 2 - Solution Design: outline the technical and process design to evolve to data mesh
  • Phase 3 - Pilot: show the results on a smaller scale
  • Phase 4 - Full Adoption: evolve the whole data platform to the data mesh architecture to start reaping the benefits

    • Deliverables:
  • Target data mesh solution architecture
  • Recommendations document (processes, tools, working best practices, evolution steps)
  • Implementation roadmap aligned with client’s business goals
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      Data Mesh at a SaaS Sales Organisation

      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.

    • Data Mesh at a Retail Organisation

      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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    Other Assets


    21.09.2022 / Data Mesh

    Webinar

    Tech It Easy with.. AWS Lake Formation

    Webinar #3 of Season 2 focuses on the value of Data Platform Modernisation with AWS Lake Formation. As premier AWS partners and specialists in the field, we will show you examples of how our clients have found success.


    Tech It Easy with.. AWS Lake Formation 0



    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.



    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.