Cloud Training and Support

•Over the last couple of decades, the amount of data generated by systems, applications, and devices has increased significantly. Data is everywhere, in a multitude of structures and formats.

•Data is now easier to collect and cheaper to store, making it accessible to nearly every business. Data solutions include software technologies and platforms that can help facilitate the collection, analysis, and storage of valuable information. Every business would like to grow their revenues and make larger profits. 

•In this competitive market, data is an asset. When analyzed properly, data provides a wealth of useful information and informs critical business decisions.

•The capability to capture, store, and analyze data is a core requirement for every organization in the world.

•Identify common data formats

•Describe options for storing data in files

•Describe options for storing data in databases

•Describe characteristics of transactional data processing solutions

•Describe characteristics of analytical data processing solutions

  Data is a collection of facts such as numbers, descriptions, and observations used to record information. Data structures in which this data is organized often represents entities that are important to an organization (such as customers, products, sales orders, and so on). Each entity typically has one or more attributes or characteristics. 

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 Understanding Azure Database Administrator responsibilities, and how they relate to other Microsoft Intelligent Data Platform roles, is important to performing the tasks and duties expected for this function.

In general, cloud services can be broken down into two sets of services: 

Infrastructure as a Service (IaaS) and 

Platform as a Service (PaaS).

IaaS services typically consist of virtual machines, storage, and virtual networking components, and are largely managed by the user in terms of patching and software. 

Alternatively, PaaS services have a larger percentage of management tasks, which are handled by the cloud provider.

•Understand the role of Azure Database Administrator, and other data platform roles

•Describe the key differences between the SQL Server-based database options in Azure

•Describe other features for Azure SQL platforms available

Azure SQL Database is a Platform as a Service (PaaS) that provides high scalability capabilities, and it can be a great solution for certain workloads and requires minimal maintenance efforts.

It is aimed at new application development as it gives developers a great deal of flexibility in building new application services, and granular deployment options at scale. 

SQL Database offers a low maintenance solution that can be a great option for certain workloads.

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Coming Soon

MySQL, MariaDB, and PostgreSQL are relational database management systems that are tailored for different specializations.

 How to Improve DB Server Performance With Tuning 

• Balance the Hardware Resources And OS
• System Performance Tuning for DBMS/RDBMS

 Tips For Better Database performance tuning and Optimization (Any RDBMS)

1.  Structured Query Language (SQL) is a special-purpose programming language used to store, manipulate, and retrieve data from the database. It has found applications in many relational database systems including MySQL, PostgreSQL, Oracle, MSSQL Server, IBM DB2 and others.
2. By using SQL statements, developers easily carry out various functional database operations such as creating, updating, and deleting data.
3. As data volumes grow, and technology becomes increasingly complex, it is becoming more important to optimize MySQL databases properly to deliver end-user experience and to lower infrastructure costs. 
4. MySQL performance tuning tools can help database professionals quickly identify bottlenecks, target insufficient operations through a review of query execution plans, and eliminate any guessing games.
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 Dynamic Management View Objects - DMVOs 

• Dynamic Management Views Objects
• Added in SQL Server 2005
• Regularly enhanced
• Now more than 230+ DMVs in SQL server2022 
• Views over internal memory structures
• Data may be inconsistent
• Deliver a vast amount of information

žOverview: The Tuning Process

žBalance the Four Main Hardware Resources and OS First

žProfiler / DTA

žUsing DMVs

žTemp db

žUsing Extended events

Coming Soon