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Analytics

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Big Data LDN: highlights and how to survive your first data conference

Big Data LDN: highlights and how to survive your first data conference

Elisenda Gascon

Here are some of the highlights form this year's Big Data LDN conference.
Customizing Lake Databases in Azure Synapse Analytics

Customizing Lake Databases in Azure Synapse Analytics

Ed Freeman

Great, so I've configured my Lake Database in Azure Synapse Analytics. But since I'm using parquet-backed files, my column names aren't very user-friendly. I also have these calculated columns incorporating business logic that I'd like to query on the fly rather than persist them to backing data. I also want to give specific end-users access to this database and provide them with pre-defined reporting queries to get them up and running as quickly as possible. How can I do this? Enter Custom Objects in Lake Databases - now you can create VIEWs, Stored Procedures, USERs (amongst other objects) in what used to be a read-only database. This article explores the customization options and how it can help you organize your reporting data in Azure Synapse Analytics
What is a Lake Database in Azure Synapse Analytics?

What is a Lake Database in Azure Synapse Analytics?

Ed Freeman

Lake Databases in Azure Synapse Analytics are just great. If you're starting on a new Synapse Analytics project, chances are you can benefit from Lake Databases. Whether you need to analyze business data from Dataverse, share your Spark tables of data with SQL Serverless, or use Database Templates to visually design and define your standardized/semantic analytical data model, there's a use-case for you. In this blog we'll explore what Lake Databases are, why they're useful, and what you need to watch-out for when using them.

Azure

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Adventures in Dapr: Episode 4 - Containerising with Visual Studio

Adventures in Dapr: Episode 4 - Containerising with Visual Studio

James Dawson

If you're interested in the Distributed Application Runtime (Dapr) and how it can simplify migrating existing workloads to use cloud platform services, then this series might be for you. In this post, we continue working with the excellent Dapr Traffic Control sample application to adopt a containerised dev inner-loop using Visual Studio.
Bye bye Azure Functions, Hello Azure Container Apps: Migration of the existing test environment

Bye bye Azure Functions, Hello Azure Container Apps: Migration of the existing test environment

Jonathan George

The fifth in a series of posts talking about how and why we migrated an application from Azure Functions to Azure Container Apps
Customizing Lake Databases in Azure Synapse Analytics

Customizing Lake Databases in Azure Synapse Analytics

Ed Freeman

Great, so I've configured my Lake Database in Azure Synapse Analytics. But since I'm using parquet-backed files, my column names aren't very user-friendly. I also have these calculated columns incorporating business logic that I'd like to query on the fly rather than persist them to backing data. I also want to give specific end-users access to this database and provide them with pre-defined reporting queries to get them up and running as quickly as possible. How can I do this? Enter Custom Objects in Lake Databases - now you can create VIEWs, Stored Procedures, USERs (amongst other objects) in what used to be a read-only database. This article explores the customization options and how it can help you organize your reporting data in Azure Synapse Analytics

Azure Synapse Analytics

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Customizing Lake Databases in Azure Synapse Analytics

Customizing Lake Databases in Azure Synapse Analytics

Ed Freeman

Great, so I've configured my Lake Database in Azure Synapse Analytics. But since I'm using parquet-backed files, my column names aren't very user-friendly. I also have these calculated columns incorporating business logic that I'd like to query on the fly rather than persist them to backing data. I also want to give specific end-users access to this database and provide them with pre-defined reporting queries to get them up and running as quickly as possible. How can I do this? Enter Custom Objects in Lake Databases - now you can create VIEWs, Stored Procedures, USERs (amongst other objects) in what used to be a read-only database. This article explores the customization options and how it can help you organize your reporting data in Azure Synapse Analytics
What is a Lake Database in Azure Synapse Analytics?

What is a Lake Database in Azure Synapse Analytics?

Ed Freeman

Lake Databases in Azure Synapse Analytics are just great. If you're starting on a new Synapse Analytics project, chances are you can benefit from Lake Databases. Whether you need to analyze business data from Dataverse, share your Spark tables of data with SQL Serverless, or use Database Templates to visually design and define your standardized/semantic analytical data model, there's a use-case for you. In this blog we'll explore what Lake Databases are, why they're useful, and what you need to watch-out for when using them.
Sharing access to synchronized Shared Metadata Model objects in Azure Synapse Analytics

Sharing access to synchronized Shared Metadata Model objects in Azure Synapse Analytics

Ed Freeman

The "Shared Metadata Model" is a powerful feature within Synapse Analytics that synchronizes Spark database objects with SQL Serverless. This article describes how to give non-admin users access to these synchronized objects in a least-privileged manner.

Big Data

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Customizing Lake Databases in Azure Synapse Analytics

Customizing Lake Databases in Azure Synapse Analytics

Ed Freeman

Great, so I've configured my Lake Database in Azure Synapse Analytics. But since I'm using parquet-backed files, my column names aren't very user-friendly. I also have these calculated columns incorporating business logic that I'd like to query on the fly rather than persist them to backing data. I also want to give specific end-users access to this database and provide them with pre-defined reporting queries to get them up and running as quickly as possible. How can I do this? Enter Custom Objects in Lake Databases - now you can create VIEWs, Stored Procedures, USERs (amongst other objects) in what used to be a read-only database. This article explores the customization options and how it can help you organize your reporting data in Azure Synapse Analytics
How to create a semantic model using Synapse Analytics Database Templates

How to create a semantic model using Synapse Analytics Database Templates

Barry Smart

In this second blog in the series, we put the newly released Azure Synapse Analytics Database Templates into action by exploring the different methods that are available to create a semantic model.
What is a Lake Database in Azure Synapse Analytics?

What is a Lake Database in Azure Synapse Analytics?

Ed Freeman

Lake Databases in Azure Synapse Analytics are just great. If you're starting on a new Synapse Analytics project, chances are you can benefit from Lake Databases. Whether you need to analyze business data from Dataverse, share your Spark tables of data with SQL Serverless, or use Database Templates to visually design and define your standardized/semantic analytical data model, there's a use-case for you. In this blog we'll explore what Lake Databases are, why they're useful, and what you need to watch-out for when using them.