Catherine Harding Speaks Out In New Video, Shares Her Side of What Happened With Chappell Roan’s Security | Catherine Harding, Chappell Roan, Jorginho Frello, Longform | Celebrity News and Gossip | Entertainment, Photos and Videos


Catherine Harding is directly sharing her side of the story in the Chappell Roan security situation.

The English singer is married to Brazilian soccer star Jorginho Frello and was in Sao Paulo this weekend for Lollapalooza Brazil with her daughter.

However, things took a sour turn when they were at breakfast at their hotel when her daughter thought she saw Chappell and walked by the singer’s table to confirm if it was her. But, a security guard then came over and was very rude towards her after, as previously told by Jorginho, which has gone super viral.

Chappell shared her side of the story on Sunday (March 22), the day after her performance, and Catherine is now speaking out with her side in a new video message.

Keep reading to find out more…

“I wanted to say something because I’m getting so many messages about this now and honestly, I didn’t realize it would get this crazy,” Catherine started out in an Instagram video. “A lot of people ask me like what actually happened and everything else, and I know that Chappell has responded saying that it wasn’t, that it wasn’t her security and that she didn’t do it. So, 100% this security guard was not a security guard of the hotel that’s what I can say. He looks after artists so I don’t know if it was her personal security guard but he was with her. So, that is all I know. Did she send him to do it? Again, I don’t know.”

“Look, I would like to hope not but at the same time I think that you have a responsibility when you are a celebrity to make sure, I guess, that the people that work for you and that act on your behalf are acting on your behalf. So would he do that if he didn’t have her authority to do so? I don’t know,” she continued. “If he does, then obviously that’s a big problem because then he’s representing her in a way that she doesn’t want to be represented. I think that’s really important for her to notice and realize that’s not correct.”

Catherine then went on to explain what happened to lead to all of this.

“Literally, we were staying in the same hotel, we were at breakfast and we noticed a girl passed with long red hair, very curly, and I said to my daughter, ‘Oh, do you think that’s Chappell Roan?’ And she looked and she said, ‘Oh my god, mum, do you think it’s her?’ And so she said, ‘I’m gonna go have a look outside,’ and she was sat just outside in the garden area, which we were also free to go into. The door was open, and so I went back to the table to see me and my daughter walked through the door.”

“She didn’t have her phone, she didn’t try to take a picture, she didn’t approach her. She literally didn’t do anything. She just looked at her and smiled and she came back and she actually said to me, ‘Mum, I don’t know if it’s her because obviously she looks like, you know, with her costumes and everything, she looks a little bit different. So, my daughter said, ‘Oh my gosh, I’m not sure if it was her. I think it was her mum. It really, really looks like her, but I don’t know. Maybe it’s her sister,’ she said, ‘Maybe it’s her sister.’”

“And I said, ‘Oh, I don’t know, darling.’ And that was it. We continued our breakfast.
And from that, then came the security guard, who as I said, as my husband said, had a very aggressive tone and I feel like was if she did not send [him], I mean even if she did send him or she didn’t send him, I don’t know. For me, I feel like it really overstepped a boundary because he is quite intimidating, he is very large. So, for him to come over to a table with just a woman and her daughter eating breakfast, to kind of like berate and scold us and say that he was going to complain and tell me that I should be teaching my daughter to be better and that she’s badly educated and we should respect people’s privacy and we should not harass people and all of these other things.”

“I did try and explain to him the situation, that she’s a child and she was just very excited to see an artist and singer that she admires and can he not understand that’s all she was doing, and I explained to him also that my husband is also very well known and that we’re very used to being around people that are well known, and she would never cross someone’s boundaries or overstep a mark,” Catherine continued. “She very much knows the limits not to ever, you know, yeah be rude or make anyone feel… She understands very well, and I tried to explain this to him and he just kept saying, ‘Well, if that’s the case then you should know better, you should know how it is, you should know how it is, so you should teach her to be better, you shouldn’t allow her to be like this.’”

“And I was shocked, and I did actually say to him at the time, I said, ‘Well, if this is the case that she doesn’t even want people to look at her, she is very welcome to eat breakfast in her room, because this here is a public area and I am a paying guest as well as her.’ So if I want to walk past someone’s table and look at them, I have every right to do so. I am not approaching her. I’m not doing anything to make her feel intimidated or nothing like this is an 11 year old child.”

“This is the last thing I’m gonna say about this now, because it’s getting a bit crazy,
but lots of people were sending me messages like is this true is this true is this true and then lots of messages now about obviously um Chappell‘s message that she’s put out. So, I hope that she did not know and I hope that she did not send her security over to do this. I really think that she’s a very, very, very talented artist. We liked her a lot.”

Catherine explained that they flew all the way to Sao Paulo to see Chappell as a birthday present for her daughter, and they didn’t even go to the performance after what happened.

“It’s how it is. We’ll say no more on it. That’s it. I hope that maybe if it wasn’t her, that she learns to not allow the people that work for her to treat people like this,” Catherine concluded.

If you missed it, the mayor of Rio de Janeiro reacted to the situation and said Chappell will not be welcomed to perform at Todo Mundo no Rio for as long as he’s in office.





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PowerBI with SQL Server- Table of Content

What is Power BI?

Power BI is indeed a set of software tools, applications, and interfaces which works together to transform disparate data sources into logical, visualizations, and engaging information. The information could be in the form of an Excel spreadsheet or even a set of blended data warehouses which are both cloud-based and on-premises. Power BI makes it simple to link to various data sources, display and uncover what matters, and share your findings with whomever you choose.

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Power BI’s elements:

Beginning with the three fundamentals, Power BI is made up of various components working together:

  • Power BI Desktop for Windows is a desktop app.
  • The Power BI service is a cloud-based SaaS (Software as a Service) application.
  • In iOS, Windows, & Android smartphones, there are Power BI mobile apps.

Power BI Desktop, the platform, as well as the mobile applications, are all intended to help you generate, distribute, and utilize market intelligence in the most efficient way possible.Apart from them, Power BI has two more characteristics: the Power BI Report Builder, which allows you to create paginated reports that you can distribute through the Power BI service, and the Power BI Data Warehouse. On-premises data server powered by Power BI. After developing your Power BI reports in Power BI Desktop, you may upload them to Power BI Report Server, a report server.Power BI's elements

The Benefits of Power BI

Power BI has a number of features that set it apart from other analytical tools:

  • It has both a cloud-based and a desktop interface.
  • Data warehousing, analytic tools, and interactive dashboards are some of the features available.
  • Customized visualizations can be loaded.
  • It’s simple to scale throughout the entire company.

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What is SQL Server?

SQL (Structured Query Language) is a crucial skill in the field of data science, and it’s quite simple to master. Most people, however, overlook the fact that SQL is more than just generating queries, but that’s only the first step. It’s a different matter to ensure that inquiries are efficient or even that they match the environment in which you’re working.

Microsoft’s SQL Server is a relational database management system (RDBMS). It was created largely to compete with the MySQL and Oracle databases. The standard SQL language is supported by SQL Server. T-SQL, SQL Server’s own version of a SQL language, is included (Transact-SQL).  T-SQL stands for Transact-SQL, a Microsoft proprietary language. It also has the ability to declare variables, handle exceptions, and run stored procedures, among other things. Another important interface tool for SQL Server is SQL Server Management Studio (SSMS), which works in both 32-bit and 64-bit settings.

SQL Server helps to run several services at the same time, each with its own ports, logins, databases, and so on. These are separated into two categories:

  • Primary Instance.
  • Instances with a Name

There are two methods for gaining access to the primary instance. We can start with the server name. We can also utilize its IP address. By attaching a backslash and the instance name, you can access named instances.

Is SQL important for Power BI?

Power BI Desktop’s ability to conduct T-SQL queries gives you useful resources for retrieving SQL Server data. Perhaps you’ll be able to get the most out of the SQL Server query engine, and you’ll also be able to reduce the amount of the datasets are imported into Power BI Desktop and the number of modifications you have to do.

To take this technique, you’ll need to know how to utilize T-SQL, and if you do or can find someone who does, you’ll have a lot of flexibility when dealing with SQL Server data. Even if you extract data table by table, you still have a variety of powerful tools for interacting with SQL Server data & organizing it for use in Power BI visualizations. Whereas the Power BI service allows you to retrieve data from a variety of sources, it will not have a SQL Server data connector. One could export SQL Server files and then import them into the service, but you can’t connect immediately from service to SQL Server, regardless of the fact that SQL Server seems to play a crucial role in many organizations today. The more you know about importing and transforming SQL Server data in Power BI Desktop, the better.

Prerequisites to connect Power BI To SQL Server

  • Before you begin, join up for the free trial of Power BI, in case you do not even already have one.
  • On the local computer, install the Power BI Desktop.
  • Download SQL Server within a local computer and recover a backup of the demo database.
  • In the local computer as SQL Server, install the data gateway.
  • Consult a network administrator in the organization if you aren’t a network administrator and wouldn’t want to set up a gateway yourself. They’ll be capable of creating the data source configuration needed to link your dataset to the SQL Server database. Import Data connectivity mode must be used if you’re going to employ a saved procedure.

Step by Step approach to Connect Power BI to SQL Server

1. Power BI Desktop and installation

Power BI Desktop seems to be a free tool that you can download and install on your computer. It may link to a variety of data sources. Normally, an analytical project starts with report development in Power BI Desktop. The data is subsequently uploaded to the Power BI service, where it may be associated with the Power BI Mobile applications, allowing users to access the reports on their mobile devices.

Power BI Desktop and installation

Installation

Power BI is only available on Windows computers. Users on Macs may either create a Windows VM on Azure and install Power BI there, including using Turbo.net, that could broadcast Power BI instantly towards the Mac from either the cloud.

There are two ways to use Power BI:

  • We can download this from the Microsoft Store as an application and simply login in and get going. This would be the device’s digital equivalent.
  • We often have to operate with the information in offline mode. In these kinds of cases, download the software first rather than install it locally. Take the time to read through the entire installation guide.

Download the application to the system, based on the products you’ve chosen. Check the installation via selecting the Power BI Symbol after approving the license agreement. If the screen below shows, you’re ready to begin.

Power BI Symbol

2. Workspace

Let’s have a look at how Power BI Desktop works now. We’ll have a look at it in another part to get an idea of how it works.

The graphic below depicts the key characteristics of Power BI’s workspace..

Workspace

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3. Data Source

A variety of data sources could be connected to Power BI. The Get Data button toggles all of the data sources that may be used to import data into Power BI.

Data Source

4. Connecting to SQL Server

Let’s look at an example of connecting a SQL server dataset to Power BI Desktop and using that to examine the data.

Database Example

We’ll have to use a publically available SQL Server installation on AWS for the demonstration, as well as a database built from the Superstore dataset.

Our goal as Data Analysts would be to assess the data and identify significant areas of concern inside this hypothetical firm. 

Getting into the sample database

SQL Server Management Studio should be installed (SSMS). SSMS seems to be a free and fully integrated management environment for every SQL system. SSMS allows you to install, manage, and modify the data-tier components that your applications rely on, and also create inquiries and workflows.

After you’ve downloaded and installed the software, you’ll see the page below, which will prompt you for particular credentials.

Connecting to SQL Server

1. Insert the given information:

Server Name: ec2-52-14-205-70.us-east-2.compute.amazonaws.com

Authentication: SQL Server Authentication

Login: SQL

Password: SQL

The ‘SuperStoreUS’ database will indeed be accessible as a ‘Read Only’ user. As our sample, the instance is ec2–52–14–205–70.us-east

2. compute.amazonaws.com, the databases are SuperstoreUS and Test, and the tables inside the SuperstoreUS database are Customers, Orders, and so on. As a result, there could be lots of instances, each of which can have multiple databases, each of which would contain various tables.

SQL Server Authentication

5. Importing SQL data into Power BI

The data is organized into searches by Power BI Desktop. It implies that all of the information is organized in a table-like format.

Making the connection

Proceed to the start button by opening Power BI Desktop. The Get Data tab pane gives you a number of options when it comes to sources of data that could be linked to the Power BI Desktop. We’ll establish a connection to the SQL Server.

connection to the SQL Server

When you select SQL Server, a fresh screen will appear, asking again for the server with which we wish to connect our Power BI Desktop. Fill in the blanks, and you’re finished. We could now inspect the details of the selected table by clicking on it. For uploading a certain table, merely check the box beside it click the load button.

SQL Server

Modes of Data Connectivity

Power BI Desktop may link to a SQL database in two distinct ways, both of which display on the homepage.

Import

The import technique, as the title suggests, ‘imports’ the chosen tables onto Power BI Desktop. The imported data is therefore used by Power BI to create a visualisation or perform any adjustments. We must reload the data to view any modifications in the data, which re-imports the full data set.

DirectQuery

No information is incorporated or transferred to Power BI Desktop if DirectQuery is selected as an option. Power BI Desktop searches the fundamental data source while we generate or process the information through visualisations, ensuring that we’re still dealing with the most recent data. Nevertheless, unlike the importing method, this approach has restricted data processing capabilities.

Power BI Desktop

6. Query Editor

All of the chosen tables would be imported into Power BI Desktop & displayed in the Data view as distinct datasets. .

Query Editor

We can make changes to our datasets from here. We’ll use the Query Editor to accomplish this. The query generator could be used to edit datasets regardless of the data source. The query editor allows us to perform operations such as rebranding a dataset, eliminating a single or several columns, and so on.

 rebranding a dataset

The number of functional inquiries is displayed on the left pane, while the Query Settings pane on the right provides all of the stages related with a query.

Advanced  Editor

The script for the inquiry that has been run against the source of data is displayed in the Advanced Editor. The syntax is M, which stands for Power Query Formula Language. It is also possible to write your own code.

Make a backup of your work

Choose Close & Apply from the Query Editor’s File menu once you’ve made the appropriate data changes in the query editor. The adjustments will be applied to the data in Power BI Desktop.

data in Power BI Desktop

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7. Merging Datasets

When we wish to integrate one or maybe more datasets into one, merging datasets proves useful. The Query Editor can also assist with this merger. We’ll pull multiple tables(3) from the SuperstoreUS database this time.  Customers, Orders, and Returns are the three tables.

Merging Datasets

The three specified tables are listed in the Fields column. Now, go to the Edit Queries option and click the Combine option from the dropdown menu, which will reveal the Merge option. We’ll use the merged existing queries to construct a new query.

Merge option

We pick the tables to be combined as well as the kind of join we need in the Merge dialogue box. Columns that are similar to both tables must be chosen.

Let’s start by creating a new query called Orders and Customers. Through this query, we’ll join the Orders and Customers tables. All of the key columns from the orders table, as well as correlation columns from either the customer’s table, were included in the new query. Except for the last one, which reflects the Customers query, eliminate all the correlation columns. Next, from the Customers query, choose columns to merge into the newly merged query.

Customers query

The merged query is composed of a single database that has all of the required columns. Rather than operating with several data sources, which might cause confusion, you could now easily interact with one single database.

8. Building & Publishing a Dashboard

We may begin the Dashboard construction process since we had the dataset prepared along with all the alterations completed. The Power BI dashboard often referred to as a canvas, is a single sheet that contains multiple visualizations that serve to convey a narrative. The reports’ visuals, known as tiles, are attached to the dashboard.

Now just to see what recommendations we can glean from the superstore data set.

  • States seeking profit
  • Profit & Sales by Segment

Building & Publishing a Dashboard

Region-by-Region Sales and Profit

Sub-Category Sales

Profits by location

Quantity

We’ll obtain a dashboard that looks like the one below after we’ve formatted the size, look, and colour.

dashboard

Publishing
Data would be only valuable if it can be transferred across individuals or groups. By publishing the Dashboard or reports to the Power BI Service, they can be shared with others. The Dashboards/Reports can then be seen or interacted with using the Power BI Apps.

Publishing

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Conclusion:

When SQL and Power BI are combined, data analysis is carried out properly. We can integrate SQL Server to Power BI with ease and retrieve information right into it. Customers can switch connections with a single click in Power BI to execute in-memory searches to a bigger dataset. SQL is a handy tool that, when combined with Power BI’s expertise, may assist in monitoring and reporting more effectively and informative.

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  2. Looker vs Power BI
  3. MSBI vs Power BI



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