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Jess Panni's Blog

Did you know that Azure Synapse has great support for .NET and #csharp? Learning new languages is often a barrier to digital transformation, being able to use existing people, skills, tools and engineering disciplines can be a massive advantage.


Have you or are you about to invest in Azure Databricks? If so, the new Spark offering in Azure Synapse Analytics is likely to have grabbed your attention and rightly so. Why is Microsoft putting yet another Spark offering on the table and what does it mean for you?


For years we have been building modern cloud data solutions on Azure and helping our customers transform their use of data to drive outcomes. Here are 5 reasons why Azure Synapse Analytics might just be the service that we have been crying out for.


Wardley Maps are a fantastic tool to help provide situational awareness, in order to help you make better decisions. We use Wardley Maps to help our customers think about the various benefits and trade-offs that can be made when migrating to the Cloud. In this blog post, Jess Panni demonstrates how we used Wardley Maps to plan the migration of OceanMind to Microsoft Azure, and how the maps highlighted where the core value of their platform was, and how PaaS and Serverless services offered the most value for money for the organisation.


Office 365 Wardley Mapping Templates

by Jess Panni

We use Wardley Mapping as a technique to give us situational awareness in our technical decision making process. We’re sharing our Office 365 Templates for PowerPoint and Visio, so that you can make use of them too.


Long Running Functions in Azure Data Factory

by Jess Panni

While on first inspection Azure Function look like a good candidate for long running operations as they can run for 10 minutes on a Consumption plan, HTTP Triggers only run for 230 seconds because of a limitation with the Azure Load Balancer. In this blog post Jess Panni demonstrates how Durable Functions can be used instead.


In the last post I explained how to create a set of Azure Functions that could load data into Snowflake as well as execute Snowflake queries and export the results into your favorite cloud storage solution. In this post I will show how we can use these functions in Azure Data Factory to plug Snowflake […]


If, like me, you are a fan of Azure Data Factory and love Snowflake then you are probably disappointed that there isn’t a native Data Factory connector for Snowflake. While we wait for an official connector from Microsoft we have no alternative but to roll our own. In this blog post I will walk you through […]


Choosing the right cloud platform provider can be a daunting task. Take the big three, AWS, Azure, and Google Cloud Platform; each offer a huge number of products and services, but understanding how they enable your specific needs is not easy. Since most organisations plan to migrate existing applications it is important to understand how […]


Choosing the right cloud platform provider can be a daunting task. Take the big three, AWS, Azure, and Google Cloud Platform; each offer a huge number of products and services, but understanding how they enable your specific needs is not easy. Since most organisations plan to migrate existing applications it is important to understand how […]


Choosing the right cloud platform provider can be a daunting task. Take the big three, AWS, Azure, and Google Cloud Platform; each offer a huge number of products and services, but understanding how they enable your specific needs is not easy. Since most organisations plan to migrate existing applications it is important to understand how […]


Choosing the right cloud platform provider can be a daunting task. Take the big three, AWS, Azure, and Google Cloud Platform; each offer a huge number of products and services, but understanding how they enable your specific needs is not easy. Since most organisations plan to migrate existing applications it is important to understand how […]


Choosing the right cloud platform provider can be a daunting task. Take the big three, AWS, Azure, and Google Cloud Platform; each offer a huge number of products and services, but understanding how they enable your specific needs is not easy. Since most organisations plan to migrate existing applications it is important to understand how […]


In this series, we’re comparing cloud services from AWS, Azure and Google Cloud Platform. A full breakdown and comparison of cloud providers and their services are available in this handy poster. We have assessed services across three typical migration strategies: Lift and shift – the cloud service can support running legacy systems with minimal change […]


In this series, we’re comparing cloud services from AWS, Azure and Google Cloud Platform. A full breakdown and comparison of cloud providers and their services are available in this handy poster. We have assessed services across three typical migration strategies: Lift and shift – the cloud service can support running legacy systems with minimal change […]


AWS vs Azure vs Google Cloud Platform

by Jess Panni

Choosing the right cloud platform provider can be a daunting task. Take the big three, AWS, Azure, and Google Cloud Platform; each offers a huge number of products and services, but understanding how they enable your specific needs is not easy. Since most organisations plan to migrate existing applications it is important to understand how […]


Automating R Unit Tests With Azure DevOps

by Jess Panni

Many organisations are starting to adopt the R Programming Language for their data science and financial modelling scenarios. But just because the language is being used for modelling, doesn’t mean you should write unit tests that can be exercised as part of your CI/CD pipeline. In this blog post Jess Panni demonstrates how you can run R unit tests inside Azure DevOps.


Automated R Deployments in Azure

by Jess Panni

It’s been great to see Microsoft embracing the R language on Azure, being able to easily operationalize R assets is changing the way organisations think about their analytical workloads. While it is trivial to publish an R model as a web service in Azure Machine Learning, there is still no easy way to integrate this […]


Developing U-SQL: Local Data Folder

by Jess Panni

Those of you dabbling around with/in Azure Data Lake and Visual Studio will be aware that it is possible to run U-SQL scripts locally on your development machine. This is useful when developing and debugging scripts against small sets of data since you do not incur the overhead of submitting and running jobs up on Azure. U-SQL can access […]


My first month at endjin

by Jess Panni

So it has been one month since I joined endjin; time to draw breath and reflect on my journey so far. A little about me A year ago I was sat outside a sunny coffee shop in Perth, Western Australia. My family and I moved there from the UK 6 years earlier, and I had […]