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Hadoop

Hadoop support and migration to modern data platforms

Many organisations still run important jobs on Hadoop. We keep those clusters stable and help plan a move to cloud warehouses or lakehouses when the time is right.

Talk to our teamBook a discovery call
  • Support for HDFS, Hive and Spark on Hadoop
  • Job and cluster health reviews
  • Migration planning and execution
  • Data validation during cut-over

Hadoop services

Stabilisation

Fixing failing jobs, storage pressure and resource contention.

Assessment

An inventory of jobs, tables and dependencies before any migration.

Migration

Moving workloads to Databricks, EMR, Dataproc, Synapse or Snowflake.

Decommissioning

Retiring clusters once data and jobs are verified elsewhere.

How an analytics engagement runs

  1. Step 1

    Questions first

    We agree the decisions the data should support and the measures that matter.

  2. Step 2

    Data review

    We profile your sources, note quality issues and confirm what is feasible.

  3. Step 3

    Build in slices

    Pipelines, models and reports are delivered one subject area at a time.

  4. Step 4

    Hand over

    Documentation, access controls and training so your team can run and extend it.

Frequently asked questions

Should we leave Hadoop?

If maintenance, hardware or licence costs are rising, usually yes, but in phases. We help you decide the order.

Can you work with the tools we already pay for?

Yes. We usually build on your existing cloud, warehouse and BI licences, and recommend new tools only when there is a clear gap.

Related services

Tell us what you are working on

Share your goals and current setup. We will come back with questions, a suggested approach and the next steps.

Contact Raushang4 Technology