Hashmap

Moving analytical data off older platforms

Organisations that want to leave traditional data platforms are Hashmap's main customers. The consultancy helps them assess, design, build and run data platforms, with a focus on the move from older systems to modern cloud data stacks. Its work is intended for teams in data science, reporting and analytics who need their information to be faster and easier to use.

Assessment and data strategy

The first stage is assessment. Hashmap reviews a client's requirements and sets a data and cloud strategy that fits them. The aim is to decide what should move, what should be retired and what the target platform should look like before any building starts.

Design, architecture and engineering

The firm designs and engineers the new platform itself, using what it calls a modern data stack approach. This means choosing components that work together, so that data flows from source systems through to reporting in an understandable way.

Migration and modernisation

Older warehouses built on Netezza or Teradata, Exadata appliances, SAP BW and HANA estates and Hadoop clusters are the sort of platforms the firm says it moves into the cloud. Hashmap names Snowflake as the destination platform in its client examples, with dbt and Matillion among the tools it uses to build pipelines. Its cloud work runs on AWS and Azure.

Accelerators and templates

The company provides what it calls community-driven utilities and accelerators, including machine learning and AI accelerators, best-practice templates and quick starts. It also offers templates for DevOps, DataOps and MLOps, which help a team set up its delivery and operating routines in a repeatable way.

Managed cloud services

After a platform is live, Hashmap offers managed services for cloud and data security and for monitoring what cloud use costs. The firm presents these services as a way to keep a modernised platform secure and under control once the project team has moved on.

Hashmap is a data and cloud consultancy that helps organisations assess, design, build and run their data platforms. Its work focuses on moving from older data systems to modern cloud data stacks.

What Hashmap offers

• Assessment and strategy: reviewing requirements and setting a data and cloud strategy.
• Design and engineering: architecture and engineering for modern data stacks.
• Migration and modernisation: moving from Netezza, Teradata, Exadata, SAP BW, HANA and Hadoop into the cloud.
• Accelerators and templates: machine learning and AI accelerators, plus DevOps, DataOps and MLOps templates.
• Cloud management: managed services, cloud and data security, and cloud cost monitoring.

Customers and markets

Organisations moving away from traditional data platforms, including data science, reporting and analytics teams.

Key facts

• Platforms used: Snowflake, dbt and Matillion
• Cloud: AWS and Azure