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April TCP port is reserved for hosts which implement this standard. Initially, the server host starts the Ph service by listening on TCP port The Remote User Telnet Service.

February Post Office Protocol: Version 2. This protocol assumes a reliable data stream such as provided by TCP or any similar protocol. Post Office Protocol: Version 3. Post Office Protocol – Version 3.

Johns, Michael C. Identification Protocol. Acknowledgement is given to Dan Bernstein in section 7, “Acknowledgements”, page 8. The Identification Protocol a. Authentication Server. The Authentication Server Protocol provides a means to determine the identity of a user of a particular TCP connection. Postel, Jon ed. Simple File Transfer Protocol. Network News Transfer Protocol.

NNTP specifies a protocol for the distribution, inquiry, retrieval, and posting of news articles When used via Internet TCP, the contact port assigned for this service is Acknowledgements to Internet Activities Board in section 2, “Acknowledgements”, page 4.

The Internet Message Access Protocol The BFTP program Simple Gateway Monitoring Protocol. This memo defines a simple application-layer protocol by which management information for a gateway may be inspected or altered by logically remote users. An authentication protocol entity responds to protocol messages received at UDP port on the host with which it is associated.

Pcmail is a distributed mail system providing mail service to an arbitrary number of users A protocol entity receives messages at UDP port on the host Messages which report traps should be received on UDP port for further processing.

Cisco published The Open Group. Acknowledgements to Kirk Lougheed et al. Retrieved 16 March LDM Reference. Use of the LDM requires that any host listed in its access control list be allowed a TCP connection to port on the localhost.

If the localhost is behind a firewall, the firewall must allow TCP access to port Microsoft TechNet published Internet Engineering Task Force. Historically, port was briefly registered as the “smtps” port. This registration made no sense, as the SMTP transport MX infrastructure has no way to specify a port, so port 25 is always used. As a result, the registration was revoked and was subsequently reassigned to a different service It’s and some email is still sent as cleartext”.

The Register. Situation Publishing. Brent June [1st pub. Building Internet Firewalls Second ed. ISBN WIPO published Modbus Organisation Inc. Internet X. VMware Knowledge Base. Red Hat published TCP port BIND 9’s default control channel port, On WSUS 3.

Described protocol is assigned by IANA for this port, and is : standardized, specified, or widely used for such. Described protocol is not assigned by IANA for this port, but is : standardized, specified, or widely used for such. Described protocol is assigned by IANA for this port, [2] but is not : standardized, specified, or widely used for such. Described protocol is not : assigned by IANA for this port, standardized, specified, or widely used for such.

Port is reserved by IANA, [2] generally to prevent collision having its previous use removed. In programming APIs not in communication between hosts , requests a system-allocated dynamic port [6]. Echo Protocol [10] [11]. Yes [12]. Discard Protocol [13]. Wake-on-LAN [14]. Active Users systat service [15] [16].

Daytime Protocol [17]. Previously netstat service [2] [15]. Message Send Protocol [19] [20]. Secure Shell SSH , [11] secure logins, file transfers scp , sftp and port forwarding.

Telnet protocol—unencrypted text communications [11] [24]. Time Protocol [27]. Host Name Server Protocol [28]. WHOIS protocol [29] [30] [31]. Gopher protocol [42]. Finger protocol [11] [46] [47]. TorPark onion routing [ verification needed ]. TorPark control [ verification needed ]. Kerberos [11] [51] [52] authentication system. PointCast dotcom [2]. NIC host name [54]. CCSO Nameserver [57]. Authentication Service auth , the predecessor to identification protocol.

Used to determine a user’s identity of a particular TCP connection. Simple File Transfer Protocol [64]. DCE endpoint resolution. Also used by DCOM. Network PostScript print server. Quick Mail Transfer Protocol [80] [ self-published source ]. ANSI Z Unidata LDM near real-time data distribution protocol [83] [ self-published source ] [84] [ self-published source ]. Uninterruptible power supply UPS. Centro Software ERP ports.

GO-Global remote access and application publishing software. Citadel , multiservice protocol for dedicated clients for the Citadel groupware system.

Rexec , Remote Process Execution. Who [89]. Remote Shell , used to execute non-interactive commands on a remote system Remote Shell, rsh, remsh. Syslog , [11] used for system logging. Remote procedure call RPC. FileMaker 6. DHCP Failover protocol [93]. Doom , the first online first-person shooter. MS Exchange Routing.

Kerberos administration [11]. SpamAssassin spamd daemon. Certificate Management Protocol []. Adobe Flash []. DHCP Failover protocol. VMware ESXi [] []. Lustre file system [] Protocol data. ThinLinc web-based administration interface []. Teradata database management system Teradata server. Reserved [2]. Microsoft DCOM services. WebObjects [11]. Assigned [note 2] []. Yes []. The cajo project Free dynamic transparent distributed computing in Java. QuickTime Streaming Server administration [11].

Festival Speech Synthesis System server []. Strapi []. Qubes Manufacturing Execution System. Internet Content Adaptation Protocol. Garena game client [ citation needed ]. Oracle database default listener, in future releases [ when? Apache Derby Network Server []. Published May 2, News Windows 11 Enterprise. Published April 28, Tips and guides Microsoft Endpoint Manager Enterprise.

Published April 19, Published April 5, News Microsoft Government. Published March 28, Tips and guides Microsoft Viva Enterprise. Published March 24, News Microsoft Teams Enterprise. Furthermore, after completing each course with the given assignment, you will receive a certificate of completion that can be shared with employers or LinkedIn profiles. Wow is the word! You can Sign up here. Udemy has got some of the best courses by some amazing trainers all over the world.

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Microsoft sql server 2014 business intelligence development beginners guide pdf free

 

In this chapter, readers will become familiar with algorithms that help in prediction, and how to use them and customize them with parameters. Users will also understand how to compare models together to find the best algorithm for the case. Chapter 9 , Reporting Services , explores Reporting Services, one of the key tools of the Microsoft BI toolset, which provides different types of reports with charts and grouping.

Chapter 10 , Dashboard Design , describes how dashboards are one of the most popular. In this chapter, readers will learn when to use dashboards, how to visualize data with dashboards, and how to use PerformancePoint and Power View to create dashboards.

Chapter 11 , Power BI , explains how predesigned reports and dashboards are good for. Power BI is a new self-service BI tool. Chapter 12 , Integrating Reports in Applications , begins with the premise that reports and. NET applications in web or Metro applications to provide reports on the application side for the users.

However, you can also download and install MS SQL Server Evaluation Edition, which has the same functionalities but is free for the first days, from the following link:. There are many examples in this book and all of the examples use the following databases as a source:. After downloading the database files, open SQL Server Management Studio and enter the following scripts to create databases from their data files:.

This book is very useful for BI professionals consultants, architects, and developers who want to become familiar with Microsoft BI tools. It will also be handy for BI program managers and directors who want to analyze and evaluate Microsoft tools for BI system implementation.

Instructions often need some extra explanation so that they make sense, so they are followed with:. What just happened? This heading explains the working of tasks or instructions that you have just completed. You will also find a number of styles of text that distinguish between different kinds of information.

Here are some examples of these styles, and an explanation of their meaning. Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: “Expand the. New terms and important words are shown in bold. Words that you see on the screen,. Destination Location screen, click on Next to accept the default destination. Feedback from our readers is always welcome. Let us know what you think about this book—what you liked or may have disliked.

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Please contact us at copyright packtpub. We appreciate your help in protecting our authors, and our ability to bring you valuable content. You can contact us at questions packtpub. Most companies are establishing or planning to establish a Business Intelligence system and a data warehouse DW. This book is will give you a good upshot view of each component and scenarios featuring the use of that component in Data Warehousing and Business Intelligence systems. Reza Rad has more than 10 years of experience in databases and soft ware applications.

Most of his work experience is in data warehousing and business intelligence. We are not going to go in detail through the attributes of the store dimension. The most important part of this dimension is that it can have a relationship to the date dimension. For example, a store’s opening date will be a key related to the date dimension. This type of snow flaking is unavoidable because you cannot copy all the date dimension’s attributes in every other dimension that relates to it.

On the other hand, the date dimension is in use with many other dimensions and facts. So, it would be better to have a conformed date dimension. Outrigger is a Kimball terminology for dimensions, such as date, which is conformed and might be used for a many-to-one relationship between dimensions for just one layer. In the previous example, you learned about transactional fact. Transactional fact is a fact table that has one record per transaction.

This type of fact table usually has the most detailed Grain. There is also another type of fact, which is the snapshot Fact table. In snapshot fact, each record will be an aggregation of some transactional records for a snapshot period of time. For example, consider financial periods; you can create a snapshot Fact table with one record for each financial period, and the details of the transactions will be aggregated into that record.

Transactional facts are a good source for detailed and atomic reports. They are also good for aggregations and dashboards. The Snapshot Fact tables provide a very fast response for dashboards and aggregated queries, but they don’t cover detailed transactional records. Based on your requirement analysis, you can create both kinds of facts or only one of them. There is also another type of Fact table called the accumulating Fact table.

This Fact table is useful for storing processes and activities, such as order management. You can read more about different types of Fact tables in The Data Warehouse Toolkit , Ralph Kimball , Wiley which was referenced earlier in this chapter.

We’ve explained that Fact tables usually contain FKs of dimensions and some measures. However, there are times when you would require a Fact table without any measure.

These types of Fact tables are usually used to show the non-existence of a fact. For example, assume that the sales business process does promotions as well, and you have a promotion dimension. So, each entry in the Fact table shows that a customer X purchased a product Y at a date Z from a store S when the promotion P was on such as the new year’s sales. This Fact table covers every requirement that queries the information about the sales that happened, or in other words, for transactions that happened.

However, there are times when the promotion is on but no transaction happens! This is a valuable analytical report for the decision maker because they would understand the situation and investigate to find out what was wrong with that promotion that doesn’t cause sales. So, this is an example of a requirement that the existing Fact table with the sales amount and other measures doesn’t fulfill.

This Fact table doesn’t have any fact or measure related to it; it just has FKs for dimensions. However, it is very informative because it tells us on which dates there was a promotion at specific stores on specific products.

We call this Fact table as a Factless Fact table or Bridge table. Using examples, we’ve explored the usual dimensions such as customer and date. When a dimension participates in more than one business process and deals with different data marts such as date , then it will be called a conformed dimension. Sometimes, a dimension is required to be used in the Fact table more than once.

For example, in the FactSales table, you may want to store the order date, shipping date, and transaction date. All these three columns will point to the date dimension. In this situation, we won’t create three separate dimensions; instead, we will reuse the existing DimDate three times as three different names. So, the date dimension literally plays the role of more than one dimension.

This is the reason we call such dimensions role-playing dimensions. There are other types of dimensions with some differences, such as junk dimension and degenerate dimension. The junk dimension will be used for dimensions with very narrow member values records that will be in use for almost one data mart not conformed.

For example, the status dimensions can be good candidates for junk dimension. If you create a status dimension for each situation in each data mart, then you will probably have more than ten status dimensions with only less than five records in each.

The junk dimension is a solution to combine such narrow dimensions together and create a bigger dimension. You may or may not use a junk dimension in your data mart because using junk dimensions reduces readability, and not using it will increase the number of narrow dimensions.

So, the usage of this is based on the requirement analysis phase and the dimensional modeling of the star schema.

A degenerate dimension is another type of dimension, which is not a separate dimension table. In other words, a degenerate dimension doesn’t have a table and it sits directly inside the Fact table. Assume that you want to store the transaction number string value. Where do you think would be the best place to add that information? You may think that you would create another dimension and enter the transaction number there and assign a surrogate key and use that surrogate key in the Fact table.

This is not an ideal solution because that dimension will have exactly the same Grain as your Fact table, and this indicates that the number of records for your sales transaction dimension will be equal to the Fact table, so you will have a very deep dimension table, which is not recommended. On the other hand, you cannot think about another attribute for that dimension because all attributes related to the sales transaction already exist in other dimensions connected to the fact.

So, instead of creating a dimension with the same Grain as the fact and with only one column, we would leave that column even if it is a string inside the Fact table. This type of dimension will be called a degenerate dimension. Now that you understand dimensions, it is a good time to go into more detail about the most challengeable concepts of data warehousing, which is slowly changing dimension SCD.

The dimension’s attribute values may change depending on the requirement. You will do different actions to respond to that change. As the changes in the dimension’s attribute values happen occasionally, this called the slowly changing dimension.

SCD depends on the action to be taken after the change is split in different types. In this section, we only discuss type 0, 1, and 2. Type 0 doesn’t accept any changes. Let’s assume that the Employee Number is inside the Employee dimension. Employee Number is the business key and it is an important attribute for ETL because ETL distinguishes new employees or existing employees based on this field.

So we don’t accept any changes in this attribute. This means that type 0 of SCD is applied on this attribute. Sometimes, a value may be typed wrongly in the source system, such as the first name, and it is likely that someone will come and fix that with a change.

In such cases, we will accept the change, and we won’t need to keep historical information the previous name. So we simply replace the existing value with a new value. This type of SCD is called type 1. The following screenshot shows how type 1 works:. In this type, it is a common requirement to maintain historical changes.

For example, consider this situation; a customer recently changes their city from Seattle to Charlotte. You cannot use type 0 because it is likely that someone will change their city of living. In the dashboard designer, the rst step is to create data source connectons to databases. Reports and Scorecards can then be added to a web page under the BI site, named dashboard page. Each dashboard may also contain lters and relate lters to reports and scorecards. The dashboard page, nally, can be deployed to SharePoint, and a web link can be created for that.

High levels of on-the-y exibility for PerformancePoint dashboards is one of the unique features that make this a great dashboard tool. The other important factor is that the design and implementaton tme for dashboards with Dashboard Designer is very low because of its simplicity.

Power View Power View is a dashboard component that can be installed on either Excel or SharePoint and higher versions. Power View provides powerful tools with an easy development interface for BI systems. For instructons on how to install this sample database, read the preface. In this book, we will only use Power View for Excel for our examples.

This means that you should have Excel installed on your machine to get the samples of this chapter working. Time for action enabling Power View in Excel Before we start working with Power View, we will go through the simple steps of enabling the Power View add-in for Excel: 1. Open an empty Excel workbook. Go to the File menu, then Opton, and nally to Add-Ins. In the dialog box that appears, select the Power View opton and click on OK. What Just Happened? Here is a screenshot that demonstrates adding the add-ins: For More Information: www.

You will also learn how to connect to the SSAS Tabular model through Excel, and then use it as a source for Power View data visualizaton, as explained in the following steps: 1. The Data Connecton Wizard will appear in the rst step. Exit the wizard by clicking on Finish. The Import Data dialog box will appear. A new sheet will be opened and you will see a Power View designer environment.

Set the ttle as I nt er net Sal es. In the right-hand side pane, you will see Power View Fields. Then, expand Internet Sales and check Gross Prot. You will see that a grid has materialized in the main pane; maximize the grid using mouse pointer on the edge lines of it.

Now, you will see that the grid shows a list of product categories and subcategories with their equivalent gross prot. You will see that a chart appears instead of grids, with bars and colors. Set Legend to Product Category Name with a drag-and-drop acton. You will see that a bar chart will be modied with a tled header.

Each tle shows a product category name. On selectng each tle, product subcategories related to that category will be listed in a bar chart, as shown in the following screenshot: What just happened?

In this example, you created your rst dashboard using Power View. The example shows how easy it is to create dashboards for a tabular model by just dragging-and-dropping and changing few conguratons. Also, you saw that Power View charts could be made a litle bit dierent using tles, which is very helpful for data visualizaton.

In the rst three steps steps 1 to 3 , we created a connecton to a tabular model. Then, we opened the Power View designer for that data connecton steps 4 and 5.

The main parts of the Power View designer as explained are: the main pane or Report pane, Power View Fields pane, Chart pane, Filter pane, and menu bar optons. In this example, we only dealt with the Report pane, Power View Fields, Chart pane, and menu bar optons.

To create a report, grid, or chart, you need to check those atributes or measures from the Power View Fields pane steps 8 and 9. Then, you see a grid report in the Report pane. The grid view is the default data visualizaton view in Power View, but you can change it by simply using the Switch Visualizaton menu bar items step Each chart, grid, or data visualizaton item has its own conguraton, which will appear under the Power View Fields pane.

This is the pane that we refer to as the Chart pane. Here, you can change chart conguratons such as Axis, Legend, and Tile optons steps 12 and In the next examples of this chapter, we will go through other kinds of data visualizaton items, features, and also lter conguratons. Map Power View uses Bing maps to create data visualizaton based on geographical data. This type of visualizaton is very useful when you have geographical informaton such as region, country, state, and city name, and you want to show informaton of the measures sliced-and-diced by these atributes.

Using Bing maps provides the ability to get the Bing map search engine and spot the right locaton. Time for action geographical data visualization using Power View In this example, we will create data visualizaton based on sales territory informaton such as country, state, and city, and we will reveal the potentals of the Map visualizaton item in Power View.

To do this, refer to the following steps: 1. Open another Power View tab, using the rst three steps of the previous example. Under Internet Sales, check Sales Amount. Click on the grid generated in the report pane.

Under the Switch Visualizaton menu bar secton, click on Map. A map will appear instead of a grid; hover on the right-top-hand side secton of the map and click on the small pop-out icon to maximize the map. You will see that the sales amount, according to cites, appears on the Bing map view of the world. The sizes of the circles represent the sales amount in each city. You will see that the Product Category legend appears and circles are painted with each product category’s color.

For example, you will notce that Bikes red color are sold in many countries, but Accessories and Clothes blue and orange color, respectvely are mainly sold in the United States. Since the city itself is not enough to spot the exact locaton in the map there might be cites with the same name in dierent states , we would need to add additonal geographical informaton. You will see that the map has changed a litle and the number of circles have reduced.

This is because of the fact that a map visualizes a circle for each state and when you double-click on each state, it will visualize that state only with a circle for each city. The following screenshot shows what the Chart opton pane looks like: Now, you are able to view a tled map visualizaton, in which each tle shows a country. When you click on each country, you are able to view states of that country and the sales amount categorized by product category. Go to the United States by clicking on the Tile ttle.

Then, click on Bikes in the legend; you will see that Bikes is highlighted. To go back to the original visualizaton, just click outside the legend area. Double-click on California’s circle. You will see that the map drills down to the state of California and shows cites with circle sizes based on the sales amount in each city.

You can drill up from this view with small the Drill Up buton in the top-right-hand side of the report. There is also a small lter icon in the top-right-hand side of the report. When you click on it, you are able to view report lters based on the atributes and measures used in this map. The power of Map in Power View illustrated in this example. You saw how easy it is to congure a a map is based on geographical data elds.

You also saw how maps are helpful for data visualizaton. They show geographical informaton based on spots in the Bing map and circle sizes based on the measure in this example, Sales Amount ; the categorizaton can also be applied with coloring based on another atribute in this example, Product Category.

The ability to drill down, drill up, and lter provides a good set of utlites to empower this visualizaton. Maps can visualize geographical informaton based on lattude and longitude, or country, state, city, and address that is searchable with the Bing map search engine.

Here, you saw an example of using city and states to spot the locaton in a map. In this example, you also learned how to use the highlightng feature in the Power View reports step This is a very useful feature to visualize specic categories of items. You can also have multple charts and grids in each Power View report item. If you highlight an atribute member in one of the charts, you will see that other charts will also be highlighted based on the selected member.

View all page feedback. Additional resources In this article. Object Explorer. Use Template Explorer to build and manage files of boilerplate text that you use to speed the development of queries and scripts. Template Explorer. Use the deprecated Solution Explorer to build projects used to manage administration items such as scripts and queries.

 

Microsoft sql server 2014 business intelligence development beginners guide pdf free

 

This book will give you a competitive advantage by helping you to quickly microsft how to design and build BI system with Microsoft BI tools. This book starts with designing a data warehouse with dimensional modeling, and serveg looks at creating data models based on SSAS multidimensional and Tabular technologies. Nowadays, Business Intelligence BI is one of the hot topics in most of the job markets around the world.

Most companies are establishing or planning to establish a Business Intelligence system and a data warehouse DW. Knowledge related to the BI and data warehouse are in great demand in the job market.

This chapter gives you приведу ссылку understanding of microsoft sql server 2014 business intelligence development beginners guide pdf free Business Intelligence and data warehouse is, what the main components of the Привожу ссылку system microsoft sql server 2014 business intelligence development beginners guide pdf free, and what the steps to create the data warehouse are.

This chapter focuses on the designing of the data warehouse, which is the core of a BI system. The following chapters are about other BI components such as visualization, data integration, data governance, and so on. A data warehouse is a database designed for analysis, and this definition indicates that designing a data warehouse is different from modeling a transactional database.

Designing the data warehouse is also called dimensional modeling. In this chapter, you will learn about the concepts of dimensional modeling. Business Intelligence is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis fref information to improve and optimize decisions and performance.

As the definition states, the main purpose of a BI system is to help decision makers to make proper decisions based on the results of data analysis provided by the BI system.

Nowadays, there are many operational systems in each industry. Businesses use multiple operational systems to simplify, standardize, and automate their больше на странице jobs and requirements. Each of these systems may have their own database, some of which may work with SQL Server, some with Oracle. Some of the legacy systems may work with legacy databases or even file beginner.

There are also systems that work through the Web via web services and XML. Operational systems are very useful in helping with day-to-day business operations such as the process of hiring a person in the human resources geginners, and sale operations through a retail store and handling financial transactions. The rising number of operational systems also adds beginnera requirement, which is the integration of systems together. Business owners and decision makers not only need integrated data but also require an analysis of the integrated data.

As an example, it is a common requirement for the decision intelligende of an organization to compare their hiring rate with the level of service provided by a business and the customer satisfaction based on that level of service. As you can see, this requirement deals with multiple operational systems such as CRM and human resources. The requirement might also need some data from sales and inventory нажмите чтобы перейти the decision makers want to bring sales and inventory factors into their decisions.

As a supermarket owner or decision maker, it would be very important to understand what products in which branches were in higher demand. This kind of information helps you to provide enough products to cover demand, and you may even think about creating another branch in some serveer.

The requirement of integrating multiple operational systems together in order to create consolidated reports and dashboards that help decision makers to make a proper decision is the main directive for Business Intelligence. Some organizations and businesses use ERP systems that are integrated, so a question нажмите чтобы увидеть больше appear in your mind that there won’t be a requirement for integrating data because consolidated reports can be produced easily from these systems.

So does that mean that these systems still require a BI solution? The answer in most cases is yes. The companies or businesses might not require a separate BI system for internal and parts of the operations that implemented it through ERP.

However, they might require getting some data from outside, for example, getting some data from another vendor’s web service or many other protocols and channels to send and receive information.

This indicates that there would be a requirement for consolidated analysis for such information, which brings the BI requirement back to the table.

After understanding what the BI system is, it’s time to discover more about its components and understand how these components work with each other. There are also some BI tools that help to implement one or more components. Забавная windows 10 iso 64 bits pro free download быстрый following diagram shows an illustration of the architecture and main components of the Business Intelligence system:.

The BI begnners and components differ based on the tools, environment, and so on. The architecture shown in the preceding diagram contains components that are common in most of microsoft sql server 2014 business intelligence development beginners guide pdf free BI systems. In the following sections, you will learn more about each component. The data warehouse is the core of the BI system.

Businezs data warehouse http://replace.me/2452.txt a database built for microsoft sql server 2014 business intelligence development beginners guide pdf free purpose of data analysis and reporting.

This purpose changes the design of this database as well. As you know, operational databases are built on normalization standards, which are efficient for transactional systems, for example, to reduce redundancy.

As you probably know, a 3NF-designed database for a sales system contains many tables related вот ссылка each other. So, for example, a report microsoft sql server 2014 business intelligence development beginners guide pdf free sales fdee may consume more than 10 joined conditions, which slows down the response time of the query and report. Приведенная ссылка data warehouse comes with a new design that reduces the response time and increases the performance of queries for reports and analytics.

You will learn more about the design of a data warehouse which is called dimensional modeling later in this chapter. It посетить страницу very likely that more than one system acts as the source of data required for the BI system. So there is a requirement for data consolidation that extracts data from different sources and transforms it into the shape that fits into gukde data warehouse, and finally, loads it into the data warehouse; this process is called Extract Transform Load ETL.

There are many challenges in the ETL process, out of which читать больше will be revealed download call of duty black ops pc free full version later in this chapter.

According to the definition of states, ETL is not just a data integration phase. Let’s discover more about it with an example; in an operational sales database, you may have dozen of tables that provide sale transactional data. When you design that sales data into your data warehouse, you can denormalize it and build one or two tables for it. So, the ETL process should extract data from the sales database and transform it combine, match, and so on to fit it into the model of data warehouse tables.

There are some ETL tools in the begknners that perform the extract, transform, and load operations. SSIS also has many built-in transformations to transform the data as required. A data micrsooft is designed to be the source of analysis and reports, so it frew much faster than operational systems for producing reports.

However, a DW is not that fast to cover all requirements because it is still a relational database, and databases have many constraints that reduce the response time of a query. The requirement for faster processing and a lower response time on one hand, and aggregated information on another hand causes the creation of another layer in BI systems.

This layer, which we call the data model, contains a file-based or memory-based model of the data for producing very quick responses to reports. Microsoft’s solution for the data model is split into источник technologies: the OLAP cube and the In-memory tabular model.

The OLAP cube is a file-based data storage that loads data from a data warehouse into a cube model. The intelligenxe contains descriptive information as dimensions for example, customer and product and cells for example, facts and measures, such as sales and discount. The following diagram shows a sample OLAP cube:. In the preceding diagram, the illustrated cube has three dimensions: ProductCustomerand Time.

Each cell in the cube shows a junction of these three dimensions. Aggregated data can be fetched по ссылке as well within the cube structure. For example, the orange developmebt of cells shows how much Mark paid on June 1 for all products. As you can see, the cube structure makes it easier and faster to access the required information. Multidimensional modeling is based on the OLAP cube and is fitted with measures and dimensions, as you can see in the preceding diagram.

The tabular model is based on a new In-memory engine for tables. The In-memory engine loads all data rows from tables into the memory and responds to queries directly from the memory. This is very fast in terms of the response time. The frontend of a BI system is data visualization.

In other words, data visualization is a part of the BI system that users can see. There are different methods microsoft sql server 2014 business intelligence development beginners guide pdf free visualizing information, such as strategic and tactical dashboards, Key Performance Indicators KPIsand detailed or consolidated reports.

As you probably 20114, there are many reporting and visualizing tools on the market. Microsoft has provided a set of visualization tools to cover dashboards, KPIs, scorecards, and reports required in a BI application.

Excel is also a great slicing and dicing tool especially for power users. Sfrver are also components in Excel such as Power View, which are designed to gree performance dashboards. Sometimes, you will need to embed reports and dashboards in your custom written application.

Chapter 12Integrating Reports in Applicationof this book explains that in detail. Every organization has a part of its business that is common between different systems. That part of the microsoft sql server 2014 business intelligence development beginners guide pdf free in the business can be managed and maintained as master data. For example, an organization may receive customer information from an online web application form or from a retail store’s spreadsheets, or based on a web service provided удалил windows 10 editions differences free Всё other vendors.

Master Data Management MDM is the process of maintaining the single version of truth for master data entities through multiple systems. Even if one or more systems are able to change присоединяюсь candy crush game download for windows 10 фраза master data, they can write back their changes snagit 11 not working free MDS through the staging architecture.

The quality of data is different in each operational system, especially when we deal with legacy systems or systems that have a high dependence on user inputs. As the BI system is based on data, the better the quality of data, the better the output of the BI solution.

Because of this fact, working on data quality is one of the components of the Http://replace.me/22678.txt systems. As an example, Auckland might be written as “Auck land” in some Excel files or be typed as “Aukland” by the user in the input form.

As a solution to improve the quality of data, Microsoft provided users with DQS. DQS works based on Knowledge Base domains, which means a Knowledge Base can be created for different domains, and the Knowledge Base will be maintained and improved by a data steward as time passes. There are also matching policies that can be used to apply standardization on the data.

A data warehouse is a database built for analysis and reporting. In other words, a data warehouse is a database in which the only data entry point is through ETL, and its primary purpose is to cover reporting and data analysis requirements. This definition clarifies that a data warehouse is not like other transactional databases that operational systems write data into. When there is no operational system that works directly with a data warehouse, and when the main purpose of this database is for reporting, then the design of the data warehouse will be different from that of transactional databases.

Dragon quest game for pc free you recall from the database normalization concepts, the main purpose of normalization is to reduce the redundancy and dependency.