Mitra Databricks Lakehouse for AI-Ready Enterprises

Membuka kekuatan Data dan AI dengan Databricks.

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Delta Lake & Medallion Unity Catalog Governance AI & Genie Readiness
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Source Systems ERPs, SFTPs, APIs, flat files, cloud apps, and databases mapped before pipeline code starts.
Ingestion CDC, batch, streaming, Auto Loader, DLT, Qlik Replicate, Talend, and AWS DMS.
Lakehouse Bronze, Silver, Gold, Delta Lake, Unity Catalog, RBAC, and production-grade controls.
Serving BI, Databricks Genie, APIs, operational systems, analytics teams, and ML consumers.
Detail Integrasi

Ekosistem Sorotan

Menyatukan rekayasa data, ilmu data, dan analitik dalam satu platform Lakehouse. Kami merancang arsitektur Databricks Delta Lake untuk menjalankan beban kerja Spark dan menjalankan model pembelajaran mesin.

"We have data everywhere, three platforms, two copies of everything, and nobody agrees on the numbers."
Operations & Finance Leaders
"Our team spends most of its time keeping pipelines alive instead of building anything new."
CTOs & Engineering Leads
"We keep getting asked about AI. We know our data foundation is not ready for it yet."
Data & Technology Leaders
Platform Model

Mentransformasi lanskap Data Bersama-sama Around Databricks

Artha Solutions terintegrasi secara asli dengan mitra teknologi kami untuk memberikan solusi yang kuat, tertata, dan terukur untuk saluran data dan analitik aktif.

1

Source Systems

A typical organization runs 6-12 source systems, each with its own schema and update frequency. We map every source and ownership pattern before writing pipeline code.

2

Ingestion Layer

We choose the ingestion pattern based on the problem: CDC from operational systems, batch from files, streaming from events, or hybrid ingestion for complex platforms.

3

Databricks Lakehouse

Bronze preserves raw data, Silver standardizes and validates, and Gold serves business-ready datasets. Unity Catalog and RBAC are configured from day one.

4

Serving & Downstream

We build backward from consumers: BI tools need documented models, Genie needs curated Gold data, and APIs need reliable operational contracts.

Who We Work With

For Organizations That Have Outgrown Their Data Setup

The data exists, but getting a reliable answer takes longer than it should. These are the environments where Databricks modernization creates measurable value.

Multiple Data Copies

Hadoop, Redshift, legacy SQL, cloud storage, and reporting databases each hold versions of the same data with no single trusted model.

Slow Reporting Cycles

Reports that should take minutes take days, and decision cycles are slower than the operational events they are meant to guide.

Teams Underwater

Smart data teams spend too much time maintaining pipelines, reconciling numbers, and supporting platforms instead of building new capabilities.

Digital Health & Pharma Operations & Manufacturing Financial Services Retail & Commerce Enterprise SaaS Life Sciences
Services

Six Things We Do Well. That Is Intentional.

We focus on a defined set of Databricks services, delivered properly rather than spread thin.

Databricks Lakehouse Setup

Workspace configuration, Unity Catalog governance, role-based access, Medallion schema design, and compute cost controls configured for production from day one.

Data Pipeline Design & Build

Connect source systems with the right ingestion pattern for your volume and latency needs using Delta Live Tables, Auto Loader, Qlik Replicate, and CDC tooling.

Transformation & Data Testing

Clean Bronze, Silver, and Gold separation with tests that catch broken logic before it reaches teams. We use dbt and Delta Live Tables where team ownership matters.

Legacy Migration to Databricks

Phased migrations from Hadoop, Redshift, SQL Server, or on-premise warehouses. Reporting stays live throughout with no surprise downtime.

Enterprise System Integration

Reliable integrations between Databricks and ERP, HR, finance, and operational systems, built to run every day and be owned by your team after go-live.

AI-Ready Data Foundations & Genie

Curated Gold datasets, Unity Catalog governance, and Databricks Genie configuration so business users and AI/ML teams work from trusted data.

Real Impact. Measurable Results.

Explore how Artha Solutions uses Databricks Lakehouse architecture to solve complex data challenges and deliver production-ready outcomes.

Data Engineering

Metadata Driven Medallion Architecture

Artha rebuilt a fragmented Cloudera, Azure, and Talend estate into metadata-driven Bronze, Silver, and Gold Lakehouse pipelines with dynamic ingestion, audit logging, workflows, and Unity Catalog governance.

20-40%TCO risk reduction
Fastersource onboarding
Centralizedpipeline control
AI-readydata foundation

Tech Stack

Databricks Delta Lake PySpark Workflows Unity Catalog
Consumer MDM

Consumer Master Data Management Platform

An end-to-end MDM pipeline created golden consumer records across brands, markets, and source systems using Auto Loader, Delta Lake, match-key generation, multi-signal matching, scoring, clustering, and governed merges.

360°consumer view
Autoingestion
Multi-signalmatching
ACIDreliable merges

Tech Stack

Databricks Auto Loader Delta Lake PySpark Unity Catalog
Aviation

Aviation Weather Risk & Operational Intelligence

Centralized global METAR ingestion reduced 30+ hour weather data latency and gave dispatchers alert-ready Databricks dashboards for safer decisions around delays, cancellations, and global operations.

< 5 mindata latency
30%fewer delays
10xfaster analytics
80%less engineering effort

Tech Stack

Databricks Auto Loader Delta Lake Spark SQL Unity Catalog
Healthcare

Healthcare Member Enrollment Platform

Automated EDI 834, 837, and 835 ingestion with Medallion Lakehouse validation, deduplication, HIPAA rules, SCD Type 2 history, and Gold member 360 analytics for governed healthcare processing.

80%time reduction
360°member view
60%cost savings
99.9%data accuracy

Tech Stack

Databricks Delta Lake Auto Loader SCD Type 2 Unity Catalog
Insurance

Smart Insurance Claims Processing Platform

A governed Databricks Lakehouse processed high-volume unstructured claims and documents with CDC MERGE, SCD Type 2, Delta CDF, NLP taxonomies, ML fraud scoring, MLflow, Unity Catalog, and PII masking.

90%faster refresh
95%cost reduction
NLP + MLfraud scoring
Audit-readygovernance

Tech Stack

Databricks Delta CDF MLflow PySpark Unity Catalog
Retail

Retail Store Sales & Analytics

Artha unified sales, customer, transaction, loyalty, and product-performance feeds into near real-time store analytics using Auto Loader, PySpark, SQL, Delta Lake, workflows, and governed dashboards.

< 5 mindata latency
30%lower cart abandonment
10xfaster analytics
80%less engineering effort

Tech Stack

Databricks Delta Lake PySpark Workflows Unity Catalog

Learn. Connect. Grow.

Join our upcoming summits or explore on-demand webinars featuring real-world data & AI strategies from certified engineers.

Future-Ready Data Foundation: From AI Pilot to Production Value
Webinar

Future-Ready Data Foundation: From AI Pilot to Production Value

Watch the on-demand webcast on building a future-ready data foundation that enables trusted, scalable, and AI-ready data, with a practical roadmap for moving AI from pilot to production value.

TIME
Jul 31, 2026 45 min Online, available till July 31, 2026
WATCH ON-DEMAND +
Artha Solutions Proud Sponsor of Qlik Connect 2026
Event

Artha Solutions Proud Sponsor of Qlik Connect 2026

Artha Solutions is participating as a Showcase Partner at Qlik Connect 2026, showcasing AI-ready data foundations, modern data ecosystems, governance, MDM, and data integration expertise at Booth SS15.

TIME
Apr 13, 2026 9:00 AM Gaylord Palms Resort & Convention Center, Kissimmee, Florida
LEARN MORE →
Qlik AI Reality Tour 2025 – Bengaluru
Event

Qlik AI Reality Tour 2025 – Bengaluru

Join Artha Solutions at the Qlik AI Reality Tour 2025 in Bengaluru, an exclusive invite-only event exploring real-world AI, analytics strategies, and the future of data-driven decisions.

TIME
Nov 27, 2025 4:00 PM Bengaluru, India
LEARN MORE →
View All Events & Webinars
Insights

Recommended Data Modernization Reads

Relevant thinking for teams modernizing pipelines, lakehouses, and AI-ready data foundations.

Data Solutions · July 13, 2025

Why Enterprises Are Moving from Informatica to Talend

Modern data teams are rethinking integration platforms to reduce complexity and support faster cloud data operations.

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Data Solutions · June 19, 2025

ETL Migration in 1-2-3: From Legacy Gridlock to Automated Acceleration

A practical view of replacing high-maintenance ETL estates with automated, lower-risk migration patterns.

Read More
AI & ML · May 30, 2026

AI Data Readiness Services for Enterprises

AI programs need governed, accessible, and reliable data before they can scale safely into production.

Read More
Why Artha

Practical Databricks Delivery, Not Slideware

We build what your team can own and modify after we leave.

300+ data projects delivered. We have seen most failure patterns before they appear.

Full-stack depth. Databricks, Delta Lake, Talend, Qlik, dbt, Azure, and AWS expertise lets us recommend what fits, not what we sell.

Production experience. The use case behind this page is live in production, not a pilot or proof of concept.

Team ownership. We design operating models, tests, and documentation so client teams can extend the platform independently.

Honest advisory. If Databricks is not the right answer for your situation, we will tell you that too.

FAQ

Databricks Questions We Often Hear

Databricks is a strong fit when teams need a governed lakehouse for analytics, AI, and ML workloads, especially when current data platforms are fragmented across Hadoop, Redshift, SQL warehouses, file stores, and duplicated reporting systems.

Yes. We use phased migration patterns, validation controls, and parallel reporting checks so current reporting remains available while datasets move into the Lakehouse.

We configure governance through Unity Catalog, build curated Gold datasets, apply quality checks across transformation layers, and prepare trusted semantic surfaces for tools such as Databricks Genie, BI, and downstream ML workflows.

Modernize Your Enterprise Data Foundation for AI

Not sure where to start? Book a free 30-minute discovery call. No pitch, no slide deck, just a straight conversation about what is slowing your data environment down and whether Databricks solves it.

Talk to Artha About Databricks