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Databricks

If you're considering Databricks for your data platform, our free call allows you to ask our experts as many questions as you like in 60 mins.

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Databricks provides a unified data intelligence platform built on Apache Spark, combining data engineering, data science, machine learning and AI with a lakehouse architecture to help organisations unlock the full value of their data.

Discovery

Discovery

Jumpstart your Databricks adoption with our battle tested process
Proof of Concept

Proof of Concept

Build the business case by implementing a scenario
Blueprints

Blueprints

De-risk your project and accelerate time to value
Delivery Squads

Delivery Squads

Team-per-week working to a deadline or budget
DataOps

DataOps

Improve the quality, speed, and security of data delivery
Data Science

Data Science

Iteration based innovation where new knowledge is always gained
Training

Training

Upskill your team with bespoke training tailored to your needs
Mentoring

Mentoring

Weekly "office hours" to help solve problems & make decisions
Skills Assessment

Skills Assessment

Understand your capabilities to plan for modernisation success

Struggling to structure your data platform? This series demystifies the key patterns behind modern data architectures.

From understanding Data Lakehouses and Delta Lake to implementing the Medallion Architecture in practice.

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Databricks Learning Paths

Our team shares practical guidance on Databricks — from notebook fundamentals and ETL patterns to development best practices.

All Databricks posts

Latest Databricks blogs

Multi-layer Caching with the Decorator Pattern

Multi-layer Caching with the Decorator Pattern

Jonathan George

Databricks SQL cold starts kill web API performance. Fix it with two-layer caching: Azure Blob Storage & IMemoryCache, using the Decorator pattern.
Notebooks in Azure Databricks

Notebooks in Azure Databricks

Jessica Hill

Azure Databricks Notebooks combine live code in Python, SQL, Scala, or R with visualisations and markdown. Here's how to set them up, attach clusters, manage libraries, and integrate them into ADF/Synapse pipelines.
Intro to Microsoft Fabric

Intro to Microsoft Fabric

Ed Freeman

Microsoft Fabric unifies data & analytics, building on Azure Synapse Analytics for improved data-level interoperability. Explore its offerings & pros/cons.
Version Control in Databricks

Version Control in Databricks

Elisenda Gascon

Explore how to implement source control in Databricks notebooks, promoting software engineering best practices.
Does Azure Synapse Analytics spell the end for Azure Databricks?

Does Azure Synapse Analytics spell the end for Azure Databricks?

James Broome

Explore why Microsoft's new Spark offering in Azure Synapse Analytics is a game-changer for Azure Databricks investors.
Troubleshooting "NotImplemented / Access is denied" error when integrating Azure App Service with Azure Virtual Network (VNet)

Troubleshooting "NotImplemented / Access is denied" error when integrating Azure App Service with Azure Virtual Network (VNet)

Ed Freeman

Are you configuring your Azure App Service to use a VNet? The regional VNet integration for an Azure App Service is a preview feature, and so comes with some quirks. One of the documented limitations of this preview feature is that "The feature is only available from newer App Service scale units that support PremiumV2 App Service plans." This has interesting implications as to how you need to deploy your App Service, otherwise you could end up with a rather perplexing pattern of errors. Read about how we came about this error, and how we ended up fixing it.

From SMEs to global enterprises, we help organisations harness the full potential of their data.

We pride ourselves on our customer relationships. Here's what they had to say about us.

Often website quotes are full of token platitudes, however, hand on heart, endjin have been the most consistent, high quality partners I have ever used. One of the key highlights was help in designing an Azure solution to help process over 1.5B rows of data to display to the user in less then 3 seconds, with the help of endjin we had a solution in under 12 weeks.

It's the unique blend of commercial acumen, strategy awareness, deep technical ability and the willingness to call bullshit/not tolerate it, that makes endjin so special.

Endjin's experience & processes enabled us to move on from simply collecting data, to asking business questions, and gaining valuable insights, which allowed us to focus on the right business decisions.

We worked with Endjin as part of an ambitious project around consolidating and migrating data to a new stack and new processes. Their Microsoft Azure platform expertise, deep understanding of data strategy and management best practice and exemplary approach to insights completely changed how we thought about data. Our team is capable of things we would not have been able to do without their support.

At Juniper we had the opportunity to take a fresh look at our data strategy, and how we could help our customers get better value from the data they entrust us with. Endjin helped us shift how we thought about data, introduced us to end to end processes for establishing and delivering requirements, and helped us put the baseline technology platform in place along with some exemplar implementations. Endjin upskilled our team so we could stand alone on completion of the engagement.

We needed a quick answer about whether something was even possible with the data available. Endjin helped us to focus our hypothesis, then used Machine Learning experiments to cut the discovery down from months to weeks.

Bang for buck, endjin are the best value for money you can spend.

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Chat

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Call

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Email

Email

Or you can use good old fashioned email to drop us a line, hello@endjin.com