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Databricks services

Databricks services for data platforms and analytics

Databricks services cover the design, build and running of data platforms and analytics on Databricks, with the pipelines, data quality and reporting around them. HabileLabs is a Databricks partner, and Databricks is the data platform we work with most. We also work with Microsoft Fabric and the AWS data stack.

  • Databricks partner
  • Microsoft Solutions Partner, Data & AI (Azure)
  • Workshops before any build
Man in a white shirt reaching toward a large wall of data dashboards and charts

What we build

What our data practice builds, on Databricks and around it

We use Databricks for analytics and as a data platform, and the data practice does the engineering around it, from the first pipeline to the reports and models that use the data.

  1. Data platform design

    Data lakes, data warehouses or hybrid models, designed around your business goals.

  2. Pipelines and ETL

    Data from many sources brought into one platform, transformed and loaded reliably, including real-time streaming.

  3. Big data processing

    Large data volumes processed with Apache Spark, Hadoop and Flink.

  4. Data quality and governance

    Frameworks that keep data accurate, complete and secure, so decisions rest on trusted information.

  5. Analytics and BI

    Dashboards and analytics that make scattered data readable and forecast what comes next.

  6. Data ready for AI

    We check the data each use case needs and plan the pipelines that make it ready for GenAI.

Two engineers reviewing monitoring dashboards on a pair of screens

Platforms

Databricks, Microsoft Fabric, the AWS data stack or Snowflake

Databricks is the data platform we work with most. We also build on Microsoft Fabric and on the AWS data stack, and we work with Snowflake. The platform is chosen per workload.

  • Microsoft

    Microsoft Fabric and Power BI

    Data brought into one place on Microsoft Fabric, modeled once, with dashboards that refresh on their own. We are a Microsoft Solutions Partner for Data & AI.

    Microsoft Fabric and Power BI
  • AWS

    The AWS data stack

    Data migration, pipelines and scalable data warehouses on AWS, from an AWS Advanced Tier Services Partner.

    AWS data and analytics
  • Snowflake

    Snowflake

    With Snowflake, Apache Airflow and dbt, we clean, transform and schedule data workflows for model accuracy.

    Snowflake services
  • BI tools

    Power BI, Tableau and Amazon QuickSight

    The BI tools we build dashboards and reports in, for real-time dashboards and alerts, forecasting and self-service analytics.

    Data analytics and BI

Building dashboards in Tableau? See Tableau services.

How an engagement runs

Workshops first, then a roadmap you can act on

We start with workshops to understand your business goals and data, then tailor the approach to your needs instead of applying a template. A roadmap is agreed before anything is built.

  • 01

    Prepare

    Workshops on your business goals and your data come first. We understand the current state and assess the areas to improve.

    • Business goals
    • Data sources
    • Data quality
  • 02

    Envision

    We prioritize use cases, define areas of opportunity and prototype the solutions, so effort goes where it returns the most.

    • Use cases
    • KPIs
    • Platform choice
  • 03

    Roadmap

    We develop a plan aligned with your business goals: what moves, in what order, onto which platform, and how sensitive data is protected along the way.

    • Target platform
    • Migration path
    • Cost and effort
  • 04

    Implement

    We put the plan into practice: data moved and consolidated, pipelines and reports built, and sensitive records protected.

    • Pipelines
    • Dashboards
    • Governance

Partner credentials

A Databricks partner, with Microsoft Data & AI behind it

HabileLabs is a Databricks partner and a Microsoft Solutions Partner for Data & AI.

HabileLabs Analytics, our subsidiary in Gurugram, builds data platforms on Azure, Databricks and AWS.

  • Databricks partner and Microsoft Solutions Partner
  • Microsoft Solutions Partner, Data & AI (Azure)

HabileLabs Analytics is a Data and AI Innovation Center that builds scalable data platforms, AI-powered analytics and cloud-enabled intelligence systems for enterprises and public-sector institutions. Visit HabileLabs Analytics.

partner programmes: Databricks and Microsoft
2
engineers
100+

Keep exploring

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    Data architecture, integration and ETL pipelines, big data processing and real-time streaming on AWS, Azure and Google Cloud.

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  • Data analytics and BI

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    Data analytics and BI
  • HabileLabs Analytics

    Our Data and AI Innovation Center in Gurugram, for data platforms, AI-powered analytics and cloud-enabled intelligence systems.

    HabileLabs Analytics
  • Database migration and modernization

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    Database migration
  • AI and ML development

    AI consulting, machine learning development, NLP and conversational AI, built into your existing infrastructure.

    AI and ML development
  • Data protection and governance

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Databricks FAQs

Databricks services, answered

What we do on Databricks, what the partnership means and what to expect.

Databricks services are the design, build and running of data platforms and analytics on Databricks. We use Databricks for analytics and as a data platform, alongside Microsoft Power BI, Amazon QuickSight and Azure Synapse Analytics.

Yes. HabileLabs is a Databricks partner. HabileLabs Analytics, our subsidiary in Gurugram, builds data platforms on Azure, Databricks and AWS.

No. There is no Databricks case study on this site. The results on this page come from other platforms: Helvetia's consolidation into SQL Server, Aavas Financiers' move of 35+ TB of legacy document data to AWS, and iSEEit's agentic AI build on Amazon Bedrock.

Yes. Databricks is the data platform we work with most. We also work with Microsoft Fabric and Power BI, as a Microsoft Solutions Partner for Data & AI, with the AWS data stack, and with Snowflake.

It depends on your goals and data. We design data lakes, data warehouses or hybrid models to fit your needs.

With workshops. We start with workshops to understand your business goals and data, then tailor the approach to your needs instead of applying a template. A roadmap is agreed before anything is built.

Not on its own. A modern platform builds the foundation, but data quality, governance, lineage and access controls still need their own work. We check the data each use case needs and plan the pipelines that make it ready for GenAI.

We set up data quality and governance frameworks that keep data accurate, complete and secure. HabileLabs Analytics uses data encryption, strict access controls and continuous monitoring on every project, and works to meet DPDP compliance and other applicable regulations.

Next step

Planning a data platform on Databricks?

Tell us where your data sits today and what you need from it. We start with workshops on your goals and your data, and agree a roadmap before anything is built.

  • Workshops before any build
  • Databricks partner
  • Microsoft Solutions Partner