Exclusive Webinar Series
Beyond
Hadoop 2026

Run every data and AI workload where your data already lives, with xLake. No migration required.

Thursdays · 20 August and 3 September 2026
12:30 UK · 13:30 CET · 15:30 Gulf
30 Minutes, Live

Why you should attend

No migration required. 98% of existing Spark applications run unmodified. Workloads move in hours, not weeks of re-architecture.
Your data never leaves your perimeter. Compute runs inside your own VPC over an outbound-only connection, with zero vendor access and your compliance posture unchanged.
Cut infrastructure TCO by up to 45%. By scaling compute and storage independently instead of paying for them together.
Cut storage cost by 50 to 65%. Object storage durability in place of HDFS triple replication.
One control plane, every environment. Schedule and run across on-premises, AWS, Azure and GCP from one place, instead of three platforms with three operating models.

This session focuses on running analytics and AI across your whole estate, on-premises and in every cloud, without a multi-year migration. If cutting the cost of the Hadoop you run today is the priority, join our other track: Modernising 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
Why your data doesn't need to move
A split-plane architecture that runs compute in your environment and leaves your data where it is.
2
Sovereignty by design
Residency and compliance requirements met by architecture rather than by exception. All data and all compute stay inside your perimeter.
3
Your existing workloads, unchanged
Spark, Trino, Jupyter and Airflow running natively, each with its own right-sized cluster instead of one shared for everything.
4
Governance that travels
One policy model enforced across every environment, built on Apache Ranger, Keycloak and role-based access control.
5
Open formats, no lock-in
Iceberg, Delta, Parquet and ORC, with HDFS and ODP as catalog sources. No proprietary runtime, no locked-in formats.
6
What AI actually needs from your data layer
Workload-specific compute for training and inference, and what to fix before agents go anywhere near production.

The numbers enterprises are seeing

Up to 45%
lower infrastructure TCO
50-65%
saved on storage
98%
of Spark applications run
without modification
99.9%
SLA adherence in production
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Want the detail before you join?
Explore the xLake architecture →
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Figures reflect Acceldata's work with customers and are illustrative. Actual results depend on your environment and workloads. All trademarks belong to their respective owners.
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