#Microsoft SQL Training

[microteklearning01]

A Microsoft SQL Certification is a must-have for any individual who endeavors to thrive in the field of information technology. It often offers you the privilege to have wider career options, receive better pay, and boost your trustworthiness. If you are a person who believes that the IT field is the best place to build your career, get the first step by being certified in MS SQL Server.

[madesimplemssql]

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Unlock SQL Mastery: The Ultimate T-SQL Guide for SQL Server Pros

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[ibarrau]

[Fabric] Leer PowerBi data con Notebooks - Semantic Link

El nombre del artículo puede sonar extraño puesto que va en contra del flujo de datos que muchos arquitectos pueden pensar para el desarrollo de soluciones. Sin embargo, las puertas a nuevos modos de conectividad entre herramientas y conjuntos de datos pueden ayudarnos a encontrar nuevos modos que fortalezcan los análisis de datos.

En este post vamos a mostrar dos sencillos modos que tenemos para leer datos de un Power Bi Semantic Model desde un Fabric Notebook con Python y SQL.

¿Qué son los Semantic Links? (vínculo semántico)

Como nos gusta hacer aquí en LaDataWeb, comencemos con un poco de teoría de la fuente directa.

Definición Microsoft: Vínculo semántico es una característica que permite establecer una conexión entre modelos semánticos y Ciencia de datos de Synapse en Microsoft Fabric. El uso del vínculo semántico solo se admite en Microsoft Fabric.

Dicho en criollo, nos facilita la conectividad de datos para simplificar el acceso a información. Si bién Microsoft lo enfoca como una herramienta para Científicos de datos, no veo porque no puede ser usada por cualquier perfil que tenga en mente la resolución de un problema leyendo datos limpios de un modelo semántico.

El límite será nuestra creatividad para resolver problemas que se nos presenten para responder o construir entorno a la lectura de estos modelos con notebooks que podrían luego volver a almacenarse en Onelake con un nuevo procesamiento enfocado en la solución.

Semantic Links ofrecen conectividad de datos con el ecosistema de Pandas de Python a través de la biblioteca de Python SemPy. SemPy proporciona funcionalidades que incluyen la recuperación de datos de tablas , cálculo de medidas y ejecución de consultas DAX y metadatos.

Para usar la librería primero necesitamos instalarla:

%pip install semantic-link

Lo primero que podríamos hacer es ver los modelos disponibles:

import sempy.fabric as fabric df_datasets = fabric.list_datasets()

Entrando en más detalle, también podemos listar las tablas de un modelo:

df_tables = fabric.list_tables("Nombre Modelo Semantico", include_columns=True)

Cuando ya estemos seguros de lo que necesitamos, podemos leer una tabla puntual:

df_table = fabric.read_table("Nombre Modelo Semantico", "Nombre Tabla")

Esto genera un FabricDataFrame con el cual podemos trabajar libremente.

Nota: FabricDataFrame es la estructura de datos principal de vínculo semántico. Realiza subclases de DataFrame de Pandas y agrega metadatos, como información semántica y linaje

Existen varias funciones que podemos investigar usando la librería. Una de las favoritas es la que nos permite entender las relaciones entre tablas. Podemos obtenerlas y luego usar otro apartado de la librería para plotearlo:

from sempy.relationships import plot_relationship_metadata relationships = fabric.list_relationships("Nombre Modelo Semantico") plot_relationship_metadata(relationships)

Un ejemplo de la respuesta:

Conector Nativo Semantic Link Spark

Adicional a la librería de Python para trabajar con Pandas, la característica nos trae un conector nativo para usar con Spark. El mismo permite a los usuarios de Spark acceder a las tablas y medidas de Power BI. El conector es independiente del lenguaje y admite PySpark, Spark SQL, R y Scala. Veamos lo simple que es usarlo:

spark.conf.set("spark.sql.catalog.pbi", "com.microsoft.azure.synapse.ml.powerbi.PowerBICatalog")

Basta con especificar esa línea para pronto nutrirnos de clásico SQL. Listamos tablas de un modelo:

%%sql SHOW TABLES FROM pbi.`Nombre Modelo Semantico`

Consulta a una tabla puntual:

%%sql SELECT * FROM pbi.`Nombre Modelo Semantico`.NombreTabla

Así de simple podemos ejecutar SparkSQL para consultar el modelo. En este caso es importante la participación del caracter " ` " comilla invertida que nos ayuda a leer espacios y otros caracteres.

Exploración con DAX

Como un tercer modo de lectura de datos incorporaron la lectura basada en DAX. Esta puede ayudarnos de distintas maneras, por ejemplo guardando en nuestro FabricDataFrame el resultado de una consulta:

df_dax = fabric.evaluate_dax( "Nombre Modelo Semantico", """ EVALUATE SUMMARIZECOLUMNS( 'State'[Region], 'Calendar'[Year], 'Calendar'[Month], "Total Revenue" , CALCULATE([Total Revenue] ) ) """ )

Otra manera es utilizando DAX puramente para consultar al igual que lo haríamos con SQL. Para ello, Fabric incorporó una nueva y poderosa etiqueta que lo facilita. Delimitación de celdas tipo "%%dax":

%%dax "Nombre Modelo Semantico" -w "Area de Trabajo" EVALUATE SUMMARIZECOLUMNS( 'State'[Region], 'Calendar'[Year], 'Calendar'[Month], "Total Revenue" , CALCULATE([Total Revenue] ) )

Hasta aquí llegamos con esos tres modos de leer datos de un Power Bi Semantic Model utilizando Fabric Notebooks. Espero que esto les revuelva la cabeza para redescubrir soluciones a problemas con un nuevo enfoque.

[itdeskindia]

Microsoft SQL Server Training

Welcome to our comprehensive Microsoft SQL Server training program! As the backbone of many enterprise-level applications, SQL Server is a powerful relational database management system (RDBMS) developed by Microsoft. This training is designed to equip you with the knowledge and skills needed to efficiently manage, develop, and maintain SQL Server databases.

Whether you are a beginner looking to understand the fundamentals of SQL Server or an experienced professional aiming to enhance your database management capabilities, our program caters to all levels. You will learn to navigate the SQL Server Training in India environment, perform data manipulation and retrieval, design and implement robust database solutions, and ensure data security and integrity.

Our training covers a wide range of topics, including:

Introduction to SQL Server: Understanding the architecture, installation, and configuration of SQL Server.

SQL Fundamentals: Writing queries, using joins, and manipulating data with Transact-SQL (T-SQL).

Database Design and Development: Creating and managing databases, tables, indexes, and relationships.

Advanced Querying Techniques: Optimizing queries, using advanced functions, and working with stored procedures and triggers.

Data Security and Backup: Implementing security measures, performing backups, and ensuring data recovery.

Performance Tuning and Optimization: Monitoring and optimizing database performance to handle large-scale data efficiently.

Throughout the course, you will engage in hands-on exercises and real-world scenarios that will help you apply what you’ve learned in practical situations. By the end of the training, you will be proficient in managing SQL Server environments, ensuring data reliability, and leveraging advanced features to optimize database performance.

Join us to unlock the full potential of Microsoft SQL Server and take your database management skills to the next level.

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[microteklearning01]

A Microsoft SQL Certification is a good option if someone wants to better his or her prospects of becoming a database administrator. There are many types of certificates available, so each person can select the most suitable one based on his/her own career goals.

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[error4343]

Ok I've had a very random train of thoughts and now wanna compile it into post.

Some MM characters computer-related (???) headcanons lol

Riley:

Has above average knowledge of Excel/Google sheets due to studying finance, but after four years with no practise forgot most of it.

The "Sooon, I have a problem" person in their family. Actually, surprisingly good and patient at explaining computer stuff to older people.

Has a higher responsibility of doing taxes (finance, after all). Even he never fails to do them right, Ed always double checks. Sometimes they get into argument, where inevitably Riley proves he is right but his father would never admit it.

Warren, Leeza, Ooker and other teens:

Also nothing outstanding in terms of skills, except few of them have interest in IT.

They have bunch of small local Discord servers and one big main server with some very stupid name.

Few times Bev tried to bring up importance of parental control over this "new and rapidly growing young community", but thanks God no one took her concerns seriously

Leeza moderates it and her moder role called "Mayor-mini". Like father like daughter.

All teens local jokes and memes were bourn/spread though that server.

Bev:

Rumors says she sacrificed her humanity to obtain such powers with Microsoft software package.

Can build up Access database from scratch, using basic SQL commands, assemble primitive, but surprisingly sufficient interface to it and synchronize it with Excel in span of one day or less.

In her laptop there're every pupil's personal file, countless Excel tables, several automatised document accounts, Google calendar with precisely planned schedule for next several months (for school, church, island and personal matters) and probably Pentagon files.

Probably can find all Pi numbers with Excel formulas.

Never lets anyone to her laptop.

Spends her free time at different forums, mostly gardening-related.

Wade:

Made a very fucking poor decision to let Bev do all the legwork with digital document accounting.

Now has no idea how some of things even work, so just goes with a flow and does what Bev tells.

No wander she got away with embezzlement.

Knows about kid's server. Very proud of Leeza for managing it :)

Because of that, he knows one or two memes from there, but keeps them in secret.

Has hobby of fixing office equipment. Does it with Sturge in spare time due to Dupuytren's contracture not letting him operate his hand fully.

Sarah:

There's no good medical technicians on island, so when something goes wrong with equipment electronics - tries to fix it herself to best of her ability.

Always monitors electronic e-shops for spare details or equipment. Grows more and more addicted to it.

Frequently updates her selection of sites with useful medical information, because Erin asked her for help guiding teens though puberty. For that receives glances from Bev, but doesn't give a shit.

Has reputation of cool aunt among kids, so she was one and only adult invited to main Discord server. Didn't accept it (doesn't even have Discord acc), but still grateful for trust.

Plays solitaire a lot.

John:

Back when he was playing Paul, Bev asked him to do something with Excel. In conclusion, poor bastard had to learn basic computer skills and Excel in span of several days. Now he is traumatized for rest of his life.

Will do all the work manually just to not touch laptop again.

Upsets very easly when does something wrong.

Doesn't own laptop. Don't give that man laptop, he will cry.

By his own will uses it only to watch baseball. Always asks someone to help with that.

[microsoftpowerapps12]

Join Now: https://bit.ly/3WzIpRM

Attend Online #NewBatch On #PowerApps and #PowerAutomation by Mr. Hemendra.

Batch on: 7th AUGUST, 2024 @ 09:30 PM (IST).

Contact us: +919989971070.

WhatsApp: https://www.whatsapp.com/catalog/919989971070

Blog link: https://visualpathblogs.com/

Visit: https://visualpath.in/microsoft-powerapps-training.html