Exclusive Webinar Series
Modernising
Hadoop 2026

Cut your Hadoop and Cloudera cost now.
Modernise on your terms.

Thursdays · 13, 27 August and 10 September 2026
12:30 UK · 13:30 CET · 15:30 Gulf
30 Minutes, Live

Why you should attend

Reduce the overhead of running your Hadoop data lake. Cut support fees and operational costs on the estate you run today, with no re-platform and no code changes.
Run faster on the same hardware. Up to 3× faster Spark, nothing new to buy.
Reclaim wasted capacity. Find the memory and compute your CDP and HDP clusters are stranding right now.
A faster, lower-risk route to migrate. Three proven migration paths to modernise, and which one fits your renewal date.
Speed up Hive and Impala too. Up to 40% faster jobs on the same hardware, by finding and fixing the slow queries and queue pressure behind them.

This session focuses on cutting the cost and improving the performance of the Hadoop estate you run today. If you're looking at running data and AI workloads across your whole estate instead, join our other track: Beyond Hadoop →

Run by the best in the business

GUEST
Justyn Goodenough
Vice President EMEA
Ben Cooper
Enterprise Account Executive
GUEST
Warrick Lydford-Jones
Enterprise Account Executive
GUEST
Ryan Hartman
Enterprise Account Executive
GUEST
Balaji Badarla
Sales Engineer
HOST
Hemanth Pasumarthi
Senior Sales Engineer
HOST

What you'll take away

1
Your waste, quantified
Where capacity and spend are leaking across your clusters.
‍
2
A lower support bill
How to cut fees on the platform you already run.
‍
3
Your migration path
In-place, sidecar or forklift, matched to your renewal date.
4
Faster queries, same hardware
Vectorised execution for Spark, and query-level tuning for Hive and Impala.
5
An open roadmap
No forced upgrades, no vendor-set timeline.
6
An AI-ready foundation
What to fix before AI workloads can run on your data.

The numbers enterprises are seeing

90%+
faster issue resolution
Up to 3×
faster Spark performance
$6M+
estimated annual savings at a
Fortune 50 telecoms operator
50%+
lower 3-year TCO
Decorative image
Decorative image
Want the full picture before you join? Read the
Ultimate Hadoop & Big Data Modernization Guide 2026 →

What data leaders say after the move

Thanks to Acceldata, we finally divorced Cloudera.

With 2,000+ nodes, I couldn't sleep before, worrying about how I'd ever get out. The divorce finally happened, seamlessly. No more paying the ransom. The relief is real, and we're saving a ton of money.

Peter Huang
Senior Director, T-Mobile
Trusted by the World’s Leading Enterprises
CDP to ODP is by far the smoothest transition I've done.

Over the last couple of decades I've run many migrations, but never been this relaxed. To reduce business risk, we chose a staggered migration for our few-thousand-node CDP cluster, running multiple services and 20+ live applications. And thanks to the Acceldata support and engineering team, I've hardly heard of an issue, it's on track, and — music to my ears — it's completing ahead of schedule."

Arvind Rajagopalan
Former Head of Data & AI, Verizon

AUTONOMOUS 26

Rewriting Data Architecture for the Agentic Era

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SEP 17, 2026
LONDON
References to Cloudera, CDP and HDP reflect Acceldata's assessment for the Hadoop modernisation use case, based on publicly available information. Capabilities vary by version and edition and may change. Figures reflect Acceldata's work with customers and are illustrative. All trademarks belong to their respective owners.
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