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70-465 exam Dumps Source : Designing Database Solutions for Microsoft SQL Server
Test Code : 70-465
Test Name : Designing Database Solutions for Microsoft SQL Server
Vendor Name : Microsoft
: 111 Real Questions
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Feb 11, 2019
Attunity, a provider of facts integration and massive information management software solutions, has introduced two new options: Attunity for information Lakes on Microsoft Azure, designed to automate streaming data pipelines, and Attunity Compose for Microsoft Azure SQL facts Warehouse, designed to enable statistics warehouse automation for Azure SQL facts Warehouse.
both offerings utilize change records catch (CDC) capabilities to move adjustments successfully and continually from many commercial enterprise databases, mainframes, and purposes akin to SAP, to speed up near precise-time analytics, desktop discovering, and AI initiatives.
in accordance with Attunity, businesses are relocating to cloud information lakes and data warehouses for agility and elasticity but continue to be challenged to successfully create analytics-equipped statistics sets from heterogeneous records sources. Attunity's offering is designed to automate the critical steps in a multi-zone records lake and provide a full historic records shop from which analytic-certain facts units are derived.
Attunity helps firms to conquer integration challenges with solutions leveraging effective information switch and automated generation of information transformations to speed up information pipelines—from the era of source equipment statistics streams right through to the introduction of analytics-in a position facts units.
in accordance with Attunity, using Apache Spark as a excessive-efficiency engine, Attunity for Azure data Lakes is designed to automate the technology of transformations and analytics-in a position records sets in records lakes running on Azure, enabling statistics engineers can predict to create reusable, automatic data pipelines that streamline the birth of analytics-equipped datasets to conclusion clients. furthermore, Attunity Compose for records Warehouses enables clients to automate the facts warehouse design, facts loading, transformation, and updates for Azure SQL facts Warehouses, dynamically adjusting information sources and fashions to accommodate changing company necessities. information lake clients can discover managed datasets through a catalog which includes metadata such as data lineage, and the answer's graphical interface and information pipeline management functionality effectively adapts to changes in underlying facts lake expertise and new Microsoft Azure offerings with just a simple drag-and-drop.
"With this new records pipeline automation providing, they continue to reinforce their providing for Microsoft Azure purchasers and their work with Microsoft, empowering organisations to comfortably and promptly automate their statistics lakes and statistics warehouses for more timely analytics," stated Itamar Ankorion, CMO at Attunity. "These new solutions will aid their valued clientele to maximise their investment, always reap the merits of getting their records on Azure and allow for true-time analytics the usage of statistics they make attainable in Azure facts Lake Storage, Azure SQL information Warehouse, Azure Cloud SQL Database, Azure event Hubs, and different analytics statistics services running on Azure."
For extra tips, go to www.attunity.com/companions/expertise-partners/microsoft.
The utility tremendous is continuing its guide for HL7’s quick Healthcare Interoperability elements regular with the unencumber of a brand new device to assist health programs interoperate and share information in the cloud.
Microsoft’s Azure API for FHIR presents healthcare statistics exchange backed by using a managed Platform-as-a-provider (PaaS) offering and is meant for valued clientele constructing options that combine healthcare statistics from one or more systems of record, in line with the vendor.
“we are extremely joyful to release this,” observed Heather Jordan Cartwright, everyday supervisor of Microsoft Healthcare, who notes that the Azure API is the primary in a sequence of equipment that are “mainly designed for the administration, ingestion, and enrichment” of records in native FHIR materials.
according to Cartwright, the Azure API for FHIR builds on the unencumber in November 2018 of Microsoft Healthcare’s FHIR Server for Azure, an open supply challenge on GitHub that gives help infrastructure for provisioning within the cloud.
additionally See: Microsoft releases FHIR Server for Azure to empower developers
The Azure API is at the moment available in public preview and the business has more than 25 technology partners in its early entry software to now support healthcare groups construct FHIR-enabled capabilities.
“any person working with fitness statistics can go and entry it and begin to use it,” comments Cartwright. “It means that you can create and install a FHIR carrier in literally just a few minutes within the cloud atmosphere allowing you to delivery changing data in the native FHIR format.”
“Our consumers which are the use of it definitely just pay for the underlying database utilization and statistics switch,” she provides.
Microsoft’s initial release of the Azure API helps FHIR regular for Trial Use (STU) three. however, a future version of the API will guide FHIR unencumber 4, the normative version of the interoperability average posted through HL7 in January.
“We’re bullish on FHIR,” concludes Cartwright. “In beginning to use the cloud in healthcare, they deserve to have an open supply ordinary that the entire community can rally round and share information.”
She contends that leveraging the open source ordinary and the energy of the cloud will assist to follow machine getting to know at scale within the healthcare trade by “normalizing the statistics (in FHIR) and getting it right into a (average) structure.”
Microsoft SQL database optimization is a constant combat for any venture, and this is whatever that Apriorit tackles frequently as an R&D outsourcing business. The factor is, when setting up an software, in the beginning engineers tend to point all their attention in opposition t definitely writing the code, whereas performance takes the back seat. frequently, efficiency complications are brought about via the velocity at which the statistics from the application is acquired. Some problems can creep previous the MVP stage and handiest grew to be apparent when your answer is fully released to the generic public.
this is why it is vital to estimate what problems might happen and try to fix them early at the design stage, or at the very least when optimizing the database query.
listed here they are able to look at concepts for Microsoft SQL server database design and optimization. they are able to discover how to work with databases so as to get the maximum volume of information for the least amount of time, and notice what issues they can steer clear of through applying optimization most advantageous practices for SQL server database design. while this text is in response to designing database solutions for Microsoft SQL server, nearly all of thoughts will also be utilized to different relational databases as well, together with customized ones.
Full article: four recommendations for Microsoft SQL database design and optimization
Written by using:Anastasia Shapoval,software Developer at Apriorit
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In this article, they will explain how to fix the SQL Server Error 18456. They will first describe the error and then they will show different ways to solve this SQL Server error using SQL Server commands, backups or external software.The SQL Server Error 18456
A typical error message when you try to connect is the following:
TITLE: Connect to Server
Cannot connect to SERVERNAME
Login failed for user "username." (Microsoft SQL Server, Error: 18456)
For help, click: http://go.microsoft.com/fwlink?%20SQL%20Server&&&
The error 18456, is a typical login error. There are multiple reasons you might see this message. Here, you have some possible reasons:
There are many different types of solutions for these scenarios. Here, they will show the most popular solutions.Reset the Password
If you forget your password, you can ask your DBA to reset your account. The easiest way to reset the password is by using SQL Server Management Studio (SSMS). Go to security and Logins:
Select the login and you can change the password:
If you do not like to use SSMS, you can use T-SQL to create users and change the password:
Another typical problem for the error is that you are trying to log in with a SQL login, but the SQL login authentication is not enabled. In SQL Server there are two types of authentication:
If you are trying to log in with a SQL login, but the Authentication is set to Windows, you will receive the error message.
You can change the authentication mode using SSMS. Right click the SQL Server and select properties. In the properties go to Security and change the Windows Authentication to SQL Server:
This option will require to restart the SQL Server Service.
If you do not want to use SSMS, there are other options to change the SQL Server authentication.
You can use the registry to modify the authentication mode. Use the regedit to change the registry:
machine\HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Microsoft SQL Server\MSSQLXX.MSSQLSERVER\MSSQLServerStellar SQL Database Toolkit
Another possible solution is to use the Stellar SQL Database Toolkit. This software contains 3 components. They will use the SQL Password Recovery to recover the password from a specific login. The other tools are used to recover the database and the backups. They will not cover them in this article.
Once downloaded, open the software and open the SQL Password Recovery:
USE [master] GO select * from sys.sql_logins
The software will look at the master database data file (master.mdf) and get the password. As you can see, it is a straightforward process.Conclusion
In this article, they learned the different reasons you might receive the SQL Server Error 18456. One of the reasons is that the login or the passwords are wrong. Another reason to receive this error is that the SQL Authentication is not enabled. They show how to solve this problem and learn how to retrieve the passwords using the Stellar SQL Database Toolkit.
If you have questions or suggestions regarding this article, please feel free to comment.References
tutorial ,sql server error ,database ,ssms ,sql server
In the previous level they successfully created a logical SQL Server. They are now ready to create an Azure SQL database. A key decision will be what sort of pricing model you will follow. Whether it will be a DTU or vCore model. The DTU model offers a pre-configured and pre-defined amount of compute resource whereas vCore is all about independent scalability, they will look into this with more detail later on.Creating an Azure SQL Database
We will start by opening your Azure portal at portal.azure.com.
Here you will be presented with the main SQL databases blade. You will get to see all the databases you have currently deployed and you will also have the ability to add another database.
Let's start the process by clicking Add at the top of the blade.
Once you have clicked Add, you will then need to populate the following details:
Choosing the Options
Database name – This is name of the new database that will appear for applications. This name must be unique on the logical SQL server machine you created in Level 2, which can host both Azure SQL Database databases and SQL Data Warehouse databases. Letters, numbers, hyphens and underscores are allowed.
Subscription – The subscription that you want to use for billing when creating the database. For this stairway, that will be the free trial (I have multiple subscriptions and you will see that I am using my Visual Studio Enterprise Subscription). Do not forget when they create the database, it becomes billable.
Resource Group – You will need to state what resource group you would like this database to be a part of. Think of it as a container that holds related resources for an Azure solution. I actually have multiple resource groups for different environments but for this level I will be using the resource group, AKS_Prod, that I created in the previous level. Please use the resource group that you created in the previous level.
Select Source – The options here are whether you would like to create a blank database, a database from a backup or a sample database. They will be using the AdventureWorksLT sample.
Server – The logical SQL Server that you would like to build you databases in. Remember, this will be the server that they created in Level 2, called bountysql.
SQL elastic pool – For this stairway they will not be using elastic pools. Elastic pools are a totally different way to deploy and manage SQL Databases, and it makes sense to use this when they have many databases that have varying and unpredictable usage demands. For further reading please see this link - https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-pool
Pricing tier – Here you will have the option of sizing a database based on DTU or vCore (see the purchasing models section). For this example, keep costs low and use the S0 performance level.
Collation – For this deployment I leave the default collation as SQL_Latin1_General_CP1_CI_AS. If you want a different default collation, you can type it in this box. A list of collations is in this article: https://docs.microsoft.com/en-us/sql/t-sql/statements/collations?view=sql-server-2017
For their example they have:
Now you can click, Create. Once you click create, deployment will take place in the background as indicated by the below screen shot.
For their example, this will only take a couple of minutes. You will be given a successful notification once the deployment successfully completes.
If you click the refresh button when on the main SQL Database menu, you will see your newly created database.
It is as simple as that. They have created a Standard: S0 Azure SQL database within a specific resource group in West Europe in their bountysql SQL Server. You can now connect to this database with SSMS or the Query Editor in the portal. The username and password will be the ones you used in Level 2 when creating the logical server.
Note: You may need to add your current IP to the firewall access list. SSMS will ask for this when you attempt to connect.Cloud Shell
Again all this can be simplified by using code. For example, if you wanted to create a S1 level database called Database007 from a sample backup called AdventureWorksLT within their bountysql server you would need to do the following.
First, click the cloud shell icon from the top menu bar.
Then enter the following code.New-AzureRmSqlDatabase -ResourceGroupName "AKS_PROD" -ServerName "bountysql" -DatabaseName "Database007" -SampleName "AdventureWorksLT" -RequestedServiceObjectiveName "S1"
Hit enter to run this code, and you will see Database007 in your database list. Remember to delete it after this step if you are not going to use it as you will be billed for this database.The Purchasing Models
An important topic worthy of a brief section. There are now two purchasing models for Azure SQL database. For single databases they have the option of using a DTU based or vCore based model and they are quite different.DTU
DTU stands for Database Transaction Unit and it represents the relative power assigned to the database. It is a blended measure of CPU, memory and read-write rates. This concept might sound strange for new users of Azure SQL database and it might actually take you some guess work to find your optimal service tier and performance level.
There are three service tiers, Basic, Standard and Premium and as you go up a service tier you are increasing the number of DTUs assigned to your database – this is called a performance level as shown below.
The DTU Chart Note S0 is near the left.
Where do they start with the sizing exercise? Well the Basic tier will very likely never enter the production realm because of its 2GB max size limit. Microsoft label the Standard tier as fit for most production workloads and the Premium tier for your most IO intensive workloads, thing along the lines of SSD based capability. So if you know that your IO workloads are intensive the Premium tier might be a better fit.
Once you have made a decision with a performance level but you realise that you made a mistake it is very easy to make changes to the correct one. When a request to scale up (or down) is made a replica of the original database at the new performance level is created and then connections are switched over to the replica. No data is lost during this process but during the brief moment when the switch over occurs connections to the database are disabled, so some transactions in flight may be rolled back.
Each service tier differs and offers different capabilities. Study the above service-tier table. If for example you require a database that has a backup retention of thirty-five days and In-memory OLTP then you will have no choice but to select the Premium tier, then the decision will be what performance level. To see in more detail, the differences between performance levels and resource limits please see this link: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-dtu-resource-limits-single-databases.vCore
vCore based performance levels are very new and not yet rolled out to all Azure regions. With that being said, this option offers a different approach to sizing your database. It is easier to translate an on-premises workload to a vCore based model because the components are what they are used too.vCore Options
There are two tiers you can select from, General Purpose and Business Critical. The biggest differences between the two tiers is the storage (in terms of type and throughput) and availability features. See the table below for an outline of the tiers.
For larger organisations vCore can be an attractive option. This is because of Azure Hybrid Benefit for SQL Server where it enables you to use your SQL Server Enterprise Edition or Standard Edition licenses with active Software Assurance to pay a reduced rate on vCore-based databases with savings up to 30 percent.
This is what the vCore model options look like from the Azure portal.
As you can see the idea of independent scalability where you have options to state how many vCores you desire and your max data size. Also take note of the important IO differences between Business Critical and General Purpose tiers in terms of throughput and latency.Next Steps
In this level they created a database from a sample backup on their logical SQL Server that they created in level one. They then discussed the two main purchasing models. In the next level they will discuss firewall rules and configure some logins to finally allow us to connect to the database via SSMS (SQL Server Management Studio).References
SEATTLE -- After a two-year development effort to address its technical limitations, Microsoft Azure SQL Database...
is finally poised to become a more viable alternative to on-premises SQL Server systems for users who want to shift database applications to the cloud.
Microsoft's R&D work is culminating in a flurry of new features and product offerings. For example, the vendor on Dec. 1 plans to launch a high-end version of its Azure SQL Database Managed Instance cloud platform for business applications with heavy-duty I/O requirements. Managed Instance is an implementation of Microsoft Azure SQL Database that's almost functionally equivalent to SQL Server, according to Microsoft, which released a general-purpose version of the service at the start of October.
At PASS Summit 2018, Microsoft also made available a public preview of its Machine Learning Services software running in the core Azure SQL Database platform. That follows preview releases in October of two other new technologies: a Hyperscale service tier that eliminates Azure SQL Database's 4 TB limit on database size, and an Accelerated Database Recovery feature built to speed up the process of recovering databases after a system failure.
Hyperscale supports databases with up to 100 TB of data -- an increase that was welcome news to Azure SQL Database user Mark Freeman, a senior database administrator at tax, audit and management consulting services company BDO Global.
"Right now, we're limited to 4 TB databases, and they just kind of blew the roof off of that," Freeman said at the conference.Updates to Azure SQL Database were detailed and discussed at PASS Summit 2018. Separation policy on Azure databases
Brussels-based BDO runs hundreds of databases on Microsoft Azure SQL Database, said Freeman, who works at the company's office in Columbus, Ohio. But the IT team had to split up larger databases because of the PaaS technology's previous size restriction, he added. As a result, operational data for individual countries can be spread across as many as seven separate databases, according to Freeman.
Right now, we're limited to 4 TB databases, and they just kind of blew the roof off of that. Mark Freemansenior DBA, BDO Global
"Now they can put it all together in one place without having to worry about recovering all of the databases," he said.
Azure SQL Database also may now be able to handle older applications that BDO runs on Microsoft's SQL Server on Azure Virtual Machines platform because of their size, Freeman said. The latter technology is cloud-based, too, but it's an IaaS offering that requires database administrators (DBAs) to handle configuration, patching and other management tasks that Azure SQL Database automates.
Until now, DBAs looking to migrate existing applications to the cloud typically had to use SQL Server on Azure Virtual Machines. Microsoft Azure SQL Database was primarily geared to run new cloud-native applications due to the database size limitation and its lack of support for some key SQL Server features, such as the SQL Server Agent job scheduler. That dampened its appeal to the installed base.
"We knew there were some challenges with Azure SQL Database," said Rohan Kumar, corporate vice president of engineering for Azure data services and SQL Server at Microsoft.
Speaking in the opening keynote session at PASS Summit 2018, Kumar added that Azure SQL Database Managed Instance aims to reduce the "friction" on cloud migrations that existing users encountered. SQL Server applications can be moved to a Managed Instance environment without any changes, he said. And the high-end Managed Instance Business Critical version will enable users "to run their most mission-critical SQL Server workloads in Azure," Kumar claimed.A familiar feel for SQL Server users
The Managed Instance technology is still a work in progress, said Denny Cherry, founder and principal consultant at Denny Cherry & Associates Consulting in Oceanside, Calif. But in an interview at the conference, Cherry said he expects user demand for Managed Instance deployments to increase once the Business Critical service tier is available.
"It's kind of the SQL Server you know," said Mike Walsh, president of Straight Path IT Solutions, a SQL Server consulting services company in Milton, N.H.
The Managed Instance implementation of Microsoft Azure SQL Database can be pricey, Walsh noted during a conference session. On Microsoft's website, he set up a sample configuration with a compute cost of $150,000 per month for the maximum number of 80 vCore logical CPUs. But users can get discounts of up to 55% if they convert an existing SQL Server license to the cloud system, Walsh said.
Beautycounter, a company that makes skin care products and cosmetics for women and families, runs SQL Server on the AWS cloud instead of Azure. In the past, the Amazon Relational Database Service (RDS) for SQL Server offered more functionality and options than Microsoft Azure SQL Database did, said Steve Rezhener, a database engineer at Beautycounter, which is based in Santa Monica, Calif., and formally known as Counter Brands LLC.
Azure SQL Database Managed Instance doesn't fully change that, Rezhener said in an interview at the conference. "But at least the features are on par with RDS," he added. "It looks like it's on-premises SQL Server."
At PASS Summit 2018, the annual conference of the Professional Association for SQL Server user group, Microsoft also launched the second release of SQL Server 2019 under its Community Technology Preview program. CTP 2.1 adds the ability to run R and Python applications in the big data clusters that SQL Server 2019 supports, plus other new features. Microsoft's goal is to release a preview every month, Kumar said.
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