Export Compressed Data from Azure SQL Database

This article will walk you through the way to export data out of Azure SQL Databases in a compressed format using Azure Data Factory.

Introduction

Transactional databases host a large volume of data often in relational databases in a normalized format. When this data is required to be analyzed or augmented with other data in different formats or repositories, there may be a need to extract this data and channel it to the desired data repository or processing engine. As it’s not possible to have integration of any given relational database with every possible data processing or data analytics engine, data is often staged or exported to a file store. In the case of Azure SQL Database – which is a transactional and relational database, data may be exported to containers hosted on Azure Data Lake Storage Gen2. While it’s a straight-forward process to export data out of a database and store it in the form of files, the larger the size of data the bigger would be the cost of storing the data. Ideally, the data that is exported can be stored in a compressed data format like parquet or compressed file format like gzip or bzip. In this article, we will learn how to export data out of Azure SQL Databases in a compressed format using Azure Data Factory.

Pre-Requisite

As we are going to be discussing exporting data out of SQL Database on Azure, the first thing we need is an instance of Azure SQL Database with some sample data populated in it. This article will assume that it’s already in place.

Next, we need an instance of Azure Data Factory created, using which we will build a data pipeline that would extract the data from Azure SQL Database and save it in a compressed file or data format. As this data would be stored on the Azure Data Lake Storage Gen2 account, we would need at least one such account with at least one container created on it, where we will store the compressed data. It’s also assumed this setup is in place too. Once the pre-requisite is met, we can proceed with the next steps.

In case, you are not sure about the above set up, check out the below articles that will get you started with these services.

• Starting your journey with Microsoft Azure Data Factory
• Creating your first ADLS Gen2 Data Lake

#azure #database #sql

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Introduction to Structured Query Language SQL pdf

SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.

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How to set up Azure Data Sync between Azure SQL databases and on-premises SQL Server

In this article, you learn how to set up Azure Data Sync services. In addition, you will also learn how to create and set up a data sync group between Azure SQL database and on-premises SQL Server.

In this article, you will see:

• Overview of Azure SQL Data Sync feature
• Discuss key components
• Comparison between Azure SQL Data sync with the other Azure Data option
• Setup Azure SQL Data Sync
• More…

Azure Data Sync

Azure Data Sync —a synchronization service set up on an Azure SQL Database. This service synchronizes the data across multiple SQL databases. You can set up bi-directional data synchronization where data ingest and egest process happens between the SQL databases—It can be between Azure SQL database and on-premises and/or within the cloud Azure SQL database. At this moment, the only limitation is that it will not support Azure SQL Managed Instance.

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Creating and Cataloging SQL pools in Azure SQL Server

This article will walk you through creating a new SQL pool within an existing Azure SQL Server as well as catalog the same using the Azure Purview service.

Introduction

Data is generated by transactional systems and typically stored in relational data repositories. This data is generally used by live applications and for operational reporting. As this data volume grows, this data is often required by other analytical repositories and data warehouses where it can be used for referential purposes and adding more context to other data from across the organization. Transactional systems (also known as Online Transaction Processing (OLTP) systems) usually need a relational database engine, while analytical systems (also known as Online Analytical Processing (OLAP) systems) usually need analytical data processing engines. On Azure cloud, it is usually known that for OLTP requirements, SQL Server or Azure SQL Database can be employed, and for analytical data processing needs, Azure Synapse and other similar services can be employed. SQL Pools in Azure Synapse host the data on an SQL Server environment that can process the data in a massively parallel processing model, and the address of this environment is generally the name of the Azure Synapse workspace environment. At times, when one has already an Azure SQL Server in production or in use, the need is to have these SQL Pools on an existing Azure SQL Server instance, so data in these SQL pools can be processed per the requirements on an OLAP system as well as the data can be co-located with data generated by OLTP systems. This can be done by creating SQL Pools within the Azure SQL Server instance itself. In this article, we will learn to create a new SQL Pool within an existing Azure SQL Server followed by cataloging the same using the Azure Purview service.

Pre-requisite

As we intend to create a new SQL Pool in an existing Azure SQL Server instance, we need to have an instance of Azure SQL in place. Navigate to Azure Portal, search for Azure SQL and create a new instance of it. We can create an instance with the most basic configuration for demonstration purposes. Once the instance is created, we can navigate to the dashboard page of the instance and it would look as shown below.

As we are going to catalog the data in the dedicated SQL Pool hosted on Azure SQL instance, we also need to create an instance of Azure Purview. We would be using the Azure Purview studio from the dashboard of this instance, tonregister this SQL Pool as the source and catalog the instance.

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List of Available Database for Current User In SQL Server

Introduction

When working in the SQL Server, we may have to check some other databases other than the current one which we are working. In that scenario we may not be sure that does we have access to those Databases?. In this article we discuss the list of databases that are available for the current logged user in SQL Server

Get the list of database

Conclusion

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