Home/ Cloudera
Cloudera Practice · Regulated Enterprises

Cloudera, delivered for data that can't leave the building.

Cloudera consulting is the design, migration, operation, and extension of a Cloudera Data Platform estate with a partner who knows the platform in depth. Duczer East is a Cloudera Premier Partner doing that for banks, health systems, and manufacturers across the Americas: implementation, migration from legacy Hadoop, optimization, and private AI on governed data, built to clear model-risk and audit.

Premier
Cloudera Partner status
CDP 7.3.2
Releases supported, up to
Americas
Served from Miami
EN · ES · PT
Engagement languages
Trusted in Banking Healthcare & Med Devices High-Tech Manufacturing
Trusted By

Proven with Industry Leaders

DTCC
Koch
ExxonMobil
HCA Healthcare
Ryder
AAA Mid-Atlantic
DTCC
Koch
ExxonMobil
HCA Healthcare
Ryder
AAA Mid-Atlantic
The bind you're in

Your data can't go to a public model. So your AI stalls.

Every promising pilot dies the moment it meets your CISO, model-risk, or compliance review — because the obvious tools send your regulated data somewhere it legally can't go.

Meanwhile less-regulated competitors keep shipping. The gap isn't ambition or budget — it's a way to run real AI on sensitive data without it ever leaving your control, and a delivery partner who can get it past the people whose job is to say no.

What we do

Cloudera consulting services, from estate to production AI

Senior practitioners, not a bench of juniors. We plan, build, and run Cloudera for organizations that can't afford to get governance wrong. The build leads to private AI on Cloudera; once the platform is in production, Cloudera support keeps it sound.

01

Implementation & platform setup

Stand up Cloudera Data Platform — on-prem, Private Cloud, or hybrid — with governance, lineage, and access control designed for audit from day one.

02

Migration & upgrades

Move from legacy CDH/HDP or competing platforms to modern CDP without your data ever leaving the perimeter — and without breaking the controls auditors rely on.

03

Private AI enablement

Production GenAI and agents on your Cloudera data, in-perimeter, via Cloudera AI Inference and NVIDIA NIM. Model-agnostic and built to survive review.

Explore Private AI on Cloudera
04

Managed services (L3)

Senior escalation support above the standard ceiling — the deep platform expertise your team reaches for when the ticket gets hard.

05

Optimization & cost

Tune performance, right-size compute, and bring spend under control across hybrid and on-prem Cloudera workloads.

06

AI Readiness Assessment

A fast, fixed-scope diagnostic of whether your data is actually ready for AI — the low-risk first step that de-risks everything after it.

How an engagement runs

What a Cloudera consulting engagement looks like

Most engagements move through four stages. You can start at any of them, in English, Spanish, or Portuguese. Private AI gets its own page: private AI on Cloudera.

01

Assess

A fixed-scope readiness assessment of your Cloudera estate, data, and governance, so the next step is sized against facts rather than assumptions.

02

Upgrade or migrate

Move to current CDP releases, or off legacy CDH and HDP, with rollback planning and staged cutover rather than a big-bang switch.

03

Build private AI

Put production AI on governed data, inside your perimeter, built to clear model-risk and audit review.

04

Run

L3 support, managed operations, and Cloudera engineers for the roles you need filled once you are live.

Still running CDH or HDP?

Many regulated estates still run legacy Cloudera CDH or Hortonworks HDP, both past the end of their standard support. We migrate those Hadoop estates to current CDP releases, on premises or hybrid, and rebuild the Ranger, Kerberos, and lineage controls so the move does not reopen your audit findings.

Platform coverage

We cover your Cloudera stack, end to end

Data Platform

Cloudera Data Platform (CDP)

Hybrid lakehouse across on-prem, Private Cloud, and public cloud.

AI / ML

Cloudera AI & AI Inference

Model development, serving, and agentic AI with NVIDIA NIM.

Warehouse

Data Warehouse · Iceberg · Trino

Open lakehouse analytics at scale on governed data.

Streaming

DataFlow (NiFi) · Kafka

Real-time ingest, change data capture, and event streaming.

Governance

SDX · Ranger · Atlas

Unified security, lineage, and access control — the audit backbone.

Deployment

On-prem · Private · Hybrid

Data-residency-constrained deployments are our default, not an exception.

Industries

Built for the buyers who can't get AI wrong

Banking & financial services

AML / KYC, in-perimeter

We speak the examiner's language. Private AI for financial-crime, KYC, and customer data — grounded, cited, and built to clear model-risk review.

Healthcare & med devices

PHI-safe AI

Clinical document intelligence, prior-auth, and adverse-event workflows on PHI that never leaves the perimeter — built to clear HIPAA review.

High-tech & manufacturing

IP protection

Keep proprietary designs, trade secrets, and process data inside the building while still putting AI to work on it.

Why a Cloudera Premier Partner

The platform is Cloudera's. The outcome is ours.

Anyone can resell a license. What stalls — and what we're built to fix — is getting regulated AI from pilot to production past the people whose job is to say no. That's a delivery problem, and delivery is what we sell.

01

Senior practitioners only

The people who scope your work are the people who deliver it. We bring the expertise and get it done faster.

02

Regulated-domain depth

KYC/AML and PHI aren't acronyms we looked up. We design for the review, not just the demo.

03

Past model-risk & CISO review

We produce the lineage, controls, and evidence your risk function needs to put AI into production.

Consulting vs in-house

Cloudera consulting or an in-house team?

Most organizations need both. Your team owns the roadmap and the daily work. A partner adds depth where it is rare and expensive to hire: major upgrades, migrations, security integration, and new workloads such as private AI.

  • Keep it in-house when the estate is stable, your team has current Cloudera skills, and the roadmap holds no major change.
  • Bring in a partner for upgrades and migrations, for skills you cannot hire fast enough, and for work your auditors will scrutinize.
  • Mix the two with a partner carrying escalations and specialist roles while your team runs the platform day to day. That is what our Cloudera support practice does.

Cloudera partner types compared

Each kind of Cloudera partner fits a different situation. The table describes fit, not rank.

Where each type of Cloudera partner fits and where it falls short
Partner type Where it fits Where it falls short
Duczer East (specialist Cloudera Premier Partner) Regulated enterprises that need on-premises or hybrid Cloudera delivered, supported, and extended to private AI by one senior team across the Americas. A smaller bench than a global integrator. Not the right choice for a program staffed by hundreds.
Cloudera professional services Deep product knowledge and the closest view of the Cloudera roadmap. Scope centers on the Cloudera product rather than the systems, data, and operating model around it.
Global systems integrators Large multi-platform programs that need scale, global coverage, and one contract across many workstreams. Cloudera depth varies by team, the senior people in the sale may not do the work, and the cost structure is higher.
Specialist data consultancies Cloud data platform work, often across several vendors. Strength is often in cloud-native platforms; check on-premises Cloudera and regulated-industry experience before you sign.
Offshore delivery teams Cost-efficient capacity for well-specified build and run work. Time-zone distance from your teams, and data-residency and regulatory context need checking before work starts.
Questions

Cloudera consulting, answered plainly.

What does a Cloudera consultant do?

A Cloudera consultant designs, implements, migrates, and tunes Cloudera Data Platform estates, and builds the data and AI workloads that run on them. That covers architecture, security and governance with SDX, Ranger, and Atlas, upgrades and migrations, performance and cost work, and private AI on governed data.

How do I choose a Cloudera consulting partner?

Test five things: hands-on experience with the Cloudera releases you run, on-premises and hybrid depth if your data cannot move to public cloud, references in regulated environments if you operate in one, who supports the platform after go-live, and whether the partner will tell you when another platform is the better fit. We implement Databricks and Snowflake as well as Cloudera, so we can answer that last question honestly.

Cloudera consulting or an in-house data team?

Most organizations need both. An in-house team owns the roadmap and the day-to-day work. A consulting partner adds depth for upgrades, migrations, security integration, and new workloads like private AI, and fills roles that are hard to hire. The right split depends on how much Cloudera expertise you already have and how fast the estate is changing.

What does Cloudera consulting cost?

It depends on scope. Most engagements start with a fixed-scope readiness assessment, and build or run work is then sized to the estate and agreed after that assessment.

How fast can a Cloudera partner start?

The readiness assessment is fixed in scope, so it can start without a long procurement cycle. Build and run work is scheduled once the assessment has defined what is needed.

Can you migrate from CDH or HDP to CDP?

Yes. We migrate legacy Cloudera CDH and Hortonworks HDP estates to current CDP releases, on premises or hybrid, with the security and governance controls rebuilt so auditors can still rely on them.

The low-risk first step

Start with an AI Readiness Assessment

A fast, fixed-scope diagnostic of whether your Cloudera data is actually ready for production AI — and exactly what stands between your stalled pilot and a deployment your auditors will sign off on.