Bring Data and AI Together With a Data Lakehouse

Bridge the disconnect between data and AI by modernizing your data platform.

Why Move to a Data Lakehouse

Moving to a data lakehouse is a major transformation in a company’s data platform. Lingaro’s approach ensures the right outcomes are delivered.

Simplify data movement

Reduce redundancy in the cloud

Ease the path to production

Decrease total cost of ownership

Your enterprise eliminates the need to copy data for consumption into a separate warehouse.

Data and AI teams enjoy a single platform for all data and AI needs.

The unified platform reduces the time to market of data assets.

The streamlined production path reduces infrastructure and operational costs.

Simplify data movement

Reduce redundancy in the cloud

Your enterprise eliminates the need to copy data for consumption into a separate warehouse.

Data and AI teams enjoy a single platform for all data and AI needs.

Ease the path to production

Decrease total cost of ownership

The unified platform reduces the time to market of data assets.

The streamlined production path reduces infrastructure and operational costs.

Simplify data movement

Your enterprise eliminates the need to copy data for consumption into a separate warehouse.

Reduce redundancy in the cloud

Data and AI teams enjoy a single platform for all data and AI needs.

Ease the path to production

The unified platform reduces the time to market of data assets.

Decrease total cost of ownership

The streamlined production path reduces infrastructure and operational costs.

Lingaro’s Approach to Data Lakehouse Transformation

Lingaro provides advisory and consultancy at any stage of your Lakehouse journey.

Prepare

We collaborate with you to define what a data lakehouse would mean to your organization.

Assess how a lakehouse fits into your data strategy and architecture.
Evaluate technical solutions.
Design the data lakehouse’s technical blueprint.
Define benefits and transform concepts to tangible proofs/KPIs.
Assess organizational implications.
Identify use cases to test benefits

Evaluate

We investigate how the data lakehouse will deliver value to different use cases.

Execute proofs of concept (PoCs) for identified use cases.
Define KPIs to track benefits.
Reimagine and experiment with PoCs to discover what else can be achieved with these innovations.

Engage

We communicate the value of the data lakehouse to key stakeholders.

Create a document with recommendations.
Spread awareness about the lakehouse across the organization.
Activate the data lakehouse for selected use cases.

Lingaro’s Cloud Data Lakehouse Platforms

As an official Databricks and Microsoft partner, Lingaro has the expertise to develop solutions
that will fully realize the value of a data lakehouse.

Learn more

Learn more

Begin your journey today.

Data Lakehouse Discovery Workshop
Let our experts help you discover how a data lakehouse fits into your current data strategy through a practical overview and interactive brainstorming.