👉Fresh from last week's Build developer conference in San Francisco, Microsoft executives appeared at the company's first-ever Ignite conference in Chicago and provided more details about the company's new Azure SQL Data Warehouse.
⭐️You can see more at the link at the end of the article. Thank you for your interest in the blog, if you find it interesting, please give me a like, comment and share with everyone. Thanks! ❤️
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.
Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:
1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.
2. Every database seller needs an approach to separate its item from others.
Right now, contrasts are noted where fitting.
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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:
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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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.
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.
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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When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.
When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,
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In this article, we will discuss several points that should be considered when planning to migrate the on-premises SQL workload to Microsoft Azure cloud services. This article is the first step in a series of articles that discuss how to perform the SQL and No-SQL workload migration smoothly to the cloud.
Data is one of the most precious “assets” in each company that drives business success. And as a proactive Data Engineer in an international company, you will always think how to secure your data at rest and in transit, and use the most optimal data platform technologies to serve the data to the application clients from any point in the earth as fast as possible with the minimum downtime or data loss possibilities.
With the growth of the company business, it is your responsibility to keep track of the data storage and retrieval speed in order not to lose your clients. Put yourself in the shoes of a client who is trying to submit an online order to buy from your online store, but the site is taking a long time to refresh the content and submit the order. For me, I will close the site and buy it from the nearest store!
If the Infrastructure administrator starts complaining about the limitation in the remaining resources in the current hosting machine, or the delay in receiving the new purchased resources, it is the suitable time to discuss with the management the choice to move your SQL workload to Microsoft Azure.
Before you think to send a meeting request to your management to discuss your idea about migrating the current SQL workload to Microsoft Azure, you need to take into consideration that it is not only one word that you need to mention to the management or a step by step tutorial that you can follow to perform the migration process. You should be prepared and ready for any question by preparing a comprehensive study that includes the current site problems and limitations, a plan for the design and implementation phases of the migration process, and the benefits that the company will gain from moving that workload to Azure from all performance, business growth handling and cost.
The initial study for the migration process should include, but may extend:
After checking the current situation, you should have a look at the cloud solutions that can be used to replace the current on-premises site. This includes learning the features available in each service and the pros and cons of each service in order to identify which service meets your requirements. With the different available cloud providers, I will concentrate on the Microsoft Azure database services in my articles, such as SQL on Azure VM, Azure SQL Database, Azure SQL Managed Instance, and Azure SQL Data Warehouse, and how to use it as a replacement for the on-premises ones.
Once you review the Microsoft Azure database-related services, your need to take into consideration the following points in your migration plan that may extend:
Now you can send the invitation to your management and discuss with them if migrating the current on-premises workload to the cloud is feasible, or you need to move with upgrading the current on-premises data center to handle the workload growth, serving the clients with highest possible availability and minimal data loss, without losing the company clients or having them frustrated from the company services.
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