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 unusual 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 tangle (CDC) capabilities to ride adjustments successfully and continually from many commercial enterprise databases, mainframes, and purposes akin to SAP, to precipitate 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 faultfinding steps in a multi-zone records lake and provide a replete historic records shop from which analytic-certain facts units are derived.
Attunity helps firms to conquer integration challenges with solutions leveraging efficacious information switch and automated generation of information transformations to precipitate up information pipelines—from the era of source apparatus statistics streams perquisite 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 call 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 determine 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 unusual Microsoft Azure offerings with just a simple drag-and-drop.
"With this unusual records pipeline automation providing, they continue to reinforce their providing for Microsoft Azure purchasers and their toil 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 unusual solutions will aid their valued clientele to maximise their investment, always harvest the merits of getting their records on Azure and allow for true-time analytics the usage of statistics they originate 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 steer for HL7’s quick Healthcare Interoperability elements regular with the unencumber of a brand unusual device to assist health programs interoperate and participate 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 apparatus that are “mainly designed for the administration, ingestion, and enrichment” of records in indigenous 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 wait on infrastructure for provisioning within the cloud.
additionally See: Microsoft releases FHIR Server for Azure to empower developers
The Azure API is at the minute available in public preview and the trade has more than 25 technology partners in its early entry software to now champion healthcare groups construct FHIR-enabled capabilities.
“any person working with fitness statistics can Go and entry it and start to expend 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 indigenous FHIR format.”
“Our consumers which are the expend 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 crucible expend (STU) three. however, a future version of the API will steer FHIR unencumber 4, the normative version of the interoperability average posted through HL7 in January.
“We’re bullish on FHIR,” concludes Cartwright. “In climb to expend the cloud in healthcare, they deserve to Have an open supply ordinary that the entire community can rally round and participate 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 perquisite 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 climb engineers minister to point any 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 retort is fully released to the generic public.
this is why it is vital to estimate what problems might befall 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 recognize at concepts for Microsoft SQL server database design and optimization. they are able to determine how to toil with databases so as to secure the maximum volume of information for the least amount of time, and notice what issues they can steer transparent 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 any of thoughts will besides 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 define how to fix the SQL Server mistake 18456. They will first relate the mistake and then they will present different ways to resolve this SQL Server mistake using SQL Server commands, backups or external software.The SQL Server mistake 18456
A typical mistake 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 mistake 18456, is a typical login error. There are multiple reasons you might discern this message. Here, you Have some workable reasons:
There are many different types of solutions for these scenarios. Here, they will present the most celebrated solutions.Reset the Password
If you forget your password, you can interrogate your DBA to reset your account. The easiest artery 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 attain not relish to expend SSMS, you can expend T-SQL to create users and change the password:
Another typical problem for the mistake 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 mistake message.
You can change the authentication mode using SSMS. perquisite 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 attain not want to expend SSMS, there are other options to change the SQL Server authentication.
You can expend the registry to modify the authentication mode. expend the regedit to change the registry:
machine\HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Microsoft SQL Server\MSSQLXX.MSSQLSERVER\MSSQLServerStellar SQL Database Toolkit
Another workable solution is to expend the Stellar SQL Database Toolkit. This software contains 3 components. They will expend the SQL Password Recovery to recoup the password from a specific login. The other tools are used to recoup 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 recognize at the master database data file (master.mdf) and secure 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 mistake 18456. One of the reasons is that the login or the passwords are wrong. Another reason to receive this mistake is that the SQL Authentication is not enabled. They present how to resolve this problem and learn how to retrieve the passwords using the Stellar SQL Database Toolkit.
If you Have questions or suggestions regarding this article, gladden feel free to comment.References
tutorial ,sql server mistake ,database ,ssms ,sql server
In the previous even they successfully created a analytic SQL Server. They are now ready to create an Azure SQL database. A key determination 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 any about independent scalability, they will recognize 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 secure to discern any the databases you Have currently deployed and you will besides 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 requisite to populate the following details:
Choosing the Options
Database name – This is name of the unusual database that will loom for applications. This name must be unique on the analytic SQL server machine you created in even 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 expend for billing when creating the database. For this stairway, that will be the free crucible (I Have multiple subscriptions and you will discern that I am using my Visual Studio Enterprise Subscription). attain not forget when they create the database, it becomes billable.
Resource Group – You will requisite to state what resource group you would relish this database to be a allotment of. umpire 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 even I will be using the resource group, AKS_Prod, that I created in the previous level. gladden expend the resource group that you created in the previous level.
Select Source – The options here are whether you would relish to create a blank database, a database from a backup or a sample database. They will be using the AdventureWorksLT sample.
Server – The analytic SQL Server that you would relish to build you databases in. Remember, this will be the server that they created in even 2, called bountysql.
SQL elastic pool – For this stairway they will not be using elastic pools. Elastic pools are a totally different artery to deploy and manage SQL Databases, and it makes sense to expend this when they Have many databases that Have varying and unpredictable usage demands. For further reading gladden discern 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, sustain costs low and expend 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 nature 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 case they have:
Now you can click, Create. Once you click create, deployment will consume plot in the background as indicated by the below screen shot.
For their example, this will only consume 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 discern 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 even 2 when creating the analytic server.
Note: You may requisite to add your current IP to the firewall access list. SSMS will interrogate for this when you attempt to connect.Cloud Shell
Again any this can be simplified by using code. For example, if you wanted to create a S1 even database called Database007 from a sample backup called AdventureWorksLT within their bountysql server you would requisite to attain 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 elope this code, and you will discern Database007 in your database list. bethink to delete it after this step if you are not going to expend it as you will be billed for this database.The Purchasing Models
An principal topic worthy of a brief section. There are now two purchasing models for Azure SQL database. For solitary 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, recollection and read-write rates. This concept might sound bent for unusual users of Azure SQL database and it might actually consume you some guess toil to find your optimal service tier and performance level.
There are three service tiers, Basic, gauge 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 even as shown below.
The DTU Chart Note S0 is near the left.
Where attain 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 gauge tier as appropriate 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 determination with a performance even but you realise that you made a mistake it is very light to originate changes to the remedy one. When a request to scale up (or down) is made a replica of the original database at the unusual performance even is created and then connections are switched over to the replica. No data is lost during this process but during the brief minute 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 case 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 determination will be what performance level. To discern in more detail, the differences between performance levels and resource limits gladden discern 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 unusual and not yet rolled out to any 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, common Purpose and trade Critical. The biggest differences between the two tiers is the storage (in terms of nature and throughput) and availability features. discern the table below for an outline of the tiers.
For larger organisations vCore can be an attractive option. This is because of Azure Hybrid profit for SQL Server where it enables you to expend your SQL Server Enterprise Edition or gauge Edition licenses with lively Software Assurance to pay a reduced rate on vCore-based databases with savings up to 30 percent.
This is what the vCore model options recognize relish from the Azure portal.
As you can discern the notion of independent scalability where you Have options to state how many vCores you want and your max data size. besides consume note of the principal IO differences between trade faultfinding and common Purpose tiers in terms of throughput and latency.Next Steps
In this even they created a database from a sample backup on their analytic SQL Server that they created in even one. They then discussed the two main purchasing models. In the next even they will contend 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 pains 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 toil is culminating in a flurry of unusual 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 trade 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 apex 2018, Microsoft besides 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 unusual technologies: a Hyperscale service tier that eliminates Azure SQL Database's 4 TB circumscribe on database size, and an Accelerated Database Recovery feature built to precipitate up the process of recovering databases after a system failure.
Hyperscale supports databases with up to 100 TB of data -- an enlarge that was welcome intelligence to Azure SQL Database user trail 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 kindhearted of blew the roof off of that," Freeman said at the conference.Updates to Azure SQL Database were particular and discussed at PASS apex 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 sever databases, according to Freeman.
Right now, we're limited to 4 TB databases, and they just kindhearted of blew the roof off of that. trail Freemansenior DBA, BDO Global
"Now they can assign it any together in one plot without having to worry about recovering any of the databases," he said.
Azure SQL Database besides may now be able to manipulate 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 manipulate 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 expend SQL Server on Azure Virtual Machines. Microsoft Azure SQL Database was primarily geared to elope unusual cloud-native applications due to the database size limitation and its want of champion 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 apex 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 trade faultfinding version will enable users "to elope their most mission-critical SQL Server workloads in Azure," Kumar claimed.A intimate feel for SQL Server users
The Managed Instance technology is soundless a toil 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 require for Managed Instance deployments to enlarge once the trade faultfinding service tier is available.
"It's kindhearted 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 illustrious 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 analytic CPUs. But users can secure discounts of up to 55% if they transmogrify an existing SQL Server license to the cloud system, Walsh said.
Beautycounter, a company that makes skin pervade 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 relish it's on-premises SQL Server."
At PASS apex 2018, the annual conference of the Professional Association for SQL Server user group, Microsoft besides launched the second release of SQL Server 2019 under its Community Technology Preview program. CTP 2.1 adds the ability to elope R and Python applications in the stout data clusters that SQL Server 2019 supports, plus other unusual features. Microsoft's goal is to release a preview every month, Kumar said.
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