Data Analytics Blog - Pivotal BI

Build Your Own WinUtils for Spark

The option of setting up a local spark environment on a Windows build, whether for developing spark applications, running CI/CD activities or whatever, brings many benefits for productivity and cost…

Beyond Databricks Notebook Development

In this post we'll be looking at why you may want to consider alternatives to databricks notebooks for development and what it means for teams starting out on the unified…

Development on Databricks

Today we're launching a new series of posts here on Pivotal BI, this time around the subject of development on the amazing unified analytics platform that is databricks. We'll be…

Microsoft Double Gold Partner

At Pivotal BI we do a lot of work on Microsoft Azure data solutions, so naturally being a Microsoft double Gold Partner in data fits well with what our clients…

Terraform and Azure DevOps Tips and Tricks

In this final post in the series I thought it'd be useful to share some little tips and what may be thought of as tricks that I've come across when…

Terraform Modules and Code Structure

Applying Structure to your Resource Definitions In this article I'll be going over how best to structure your Terraform resource code into modules. This draws on the practices outlined in…

Terraform with Azure DevOps: Key Vault Secrets

Key Vault Secrets, Terraform and DevOps This article discusses the incorporation of Key Vault Secret values in Terraform modules and how they can be used as part of a release…

Crown Commercial Service Supplier

Pivotal BI are an approved Crown Commercial Service Supplier on the G-Cloud framework. Being accepted within the G-Cloud framework means that we are authorised to provide cloud data analytics and…

Partition Elimination with Power BI – Part 3, Integers

In part 1 and part 2 of this series we looked at how the SQL generated by Power BI in combination with the data type of the partition key in…

Partition Elimination with Power BI – Part 2, Dates & DateTimes

In part 1 of this series we looked at how the SQL generated by Power BI, in combination with the data type of your partitioned columns in the source data,…

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