#DatabaseServers

[market-insider]

Server Products Types: Understanding Size, Share, and Growth Trajectories

The global server market size is estimated to reach USD 175.29 billion by 2030, exhibiting a CAGR of 9.8% from 2024 to 2030, according to the recent reports of Grand View Research, Inc. Continued advances in emerging technologies, such as AI, IoT, big data, cloud computing, and 5G, and the growing adoption of innovative solutions based on these technologies across various industries and industry verticals are driving the demand for edge data centers in emerging economies.

Server Market Report Highlights

The rack segment is expected to register a CAGR of 11.3% from 2024 to 2030 in the server market. The segment growth can be attributed to the growing need for scalable data centers, high-density computing, and advancements in emerging technologies, such as IoT, cloud computing, and edge computing, creating vast growth opportunities for market players.

The large enterprise segment is expected to register a CAGR of 10.4% from 2024 to 2030 in the server market. Large enterprises are shifting their focus toward hosted application servers because they can handle workloads from multiple sites, typically from the same database.

The direct segment is expected to register a CAGR of 11.0% from 2024 to 2030 in the server market. Direct distribution can shorten lead times by sending goods directly to customers when they are ready for deployment. These benefits are expected to further supplement the growth of the direct channel during the forecast period.

The IT & telecom segment expected to register a significant CAGR from 2024 to 2030 in the server market. The IT industry has seen a growing implementation of cloud-based services over on-premises ones. Subscribers now get most services through a single service provider. Furthermore, mobile phones' constantly evolving multimedia capabilities are giving rise to new issues related to after-sales service delivery and execution.

Asia Pacific is anticipated to emerge as the fastest-growing region over the forecast period at a CAGR of 10.7% in the server market. The growth of the Asia Pacific market can be attributed to significant players in the region, including Baidu, Huawei Technologies Co., Ltd., Tencent Cloud, and Alibaba.com. Moreover, the region has been witnessing high growth in digitalization, especially in countries such as India.

For More Details or Sample Copy please visit link @: Server Market Report

As businesses move to private and public clouds, edge cloud, co-location facilities, and data centers have started utilizing software-defined networks (SDNs) and virtualization to facilitate the implementation of new data analytics models. However, having realized that the incumbent servers cannot handle the complex workloads, market players in the region are introducing new server designs with higher computational power.

The cloud computing sector attracts small enterprises by offering scalable infrastructure and services. Cloud computing also offers benefits such as on-demand self-service, broad network access, resource pooling, flexibility in terms of cost and time, transparency in the form of usage reports and timely updates regarding consumption rates, and cost updates to customers. It not only helps deploy business quickly but also considerably reduces operational costs. Since data security and recovery are critical concerns for small organizations, they prefer to deploy data on private clouds.

Furthermore, companies are utilizing big data analytics to provide the best services to their customers. Cloud services assist in optimizing business processes for small enterprises. These factors would further supplement the demand for servers in small enterprises during the forecast period.

Server platforms have evolved to incorporate features and capabilities once considered add-ons and were integrated only for advanced deployments. The architecture, product capability, and management and development tools account for a substantial share of the total ownership costs of owning the servers. The total ownership costs include the initial design, deployment, and recurring costs. The initial design and deployment costs cover the costs incurred on hardware, software, installation & setup, integration & testing, and initial deployment. On the other hand, the recurring costs include the costs incurred for technical support & consultancy, implementation, management & administration, monitoring & diagnostics, server downtime, and upgrades.

Additionally, the rise of advanced applications requiring particular settings and substantial computational power from users and providers is fueling the shift toward cloud servers for optimized performance. Businesses increasingly turn to virtual or cloud servers to improve their worldwide networking potential and reduce the expenses associated with operating and maintaining their IT systems. Furthermore, cloud service providers must allocate considerable resources to maintain cooling systems due to physical servers' higher heat output. Consequently, strategies like server leasing and virtualization have become more popular lately.

List of Major Companies in the Server Market

ASUSTeK Computer Inc.

Cisco Systems, Inc.

Dell Inc.

FUJITSU

Hewlett Packard Enterprise Development LP

Huawei Technologies Co., Ltd.

Inspur  

Intel Corporation

International Business Machines Corporation

Lenovo

[techdirectarchive]

(via How to deploy WordPress on Azure App Service)

[bcjournal]

Using BcContainers

All of my time as a NAV/BC developer, I have been using virtual machines to deal with different versions in different projects. The downside of this approach is the disk space. Every VM uses around 20GB so, with a 512 SSD, I had to move the VMs to an external disk and keep in the SSD only those I would use more frequently.

I did try to use BcContainers back when they started being a thing with AL, but in those early days, you had to download an image for the specific version, so, there was not really a gain there. It was the same thing with new complications.

Then they started using artifacts, so I tried again, can’t remember the exact reasons why I did not succeed, but I discarded the idea and kept using VM’s.

I’m currently working in two projects for which I recycled an old PC, so I formatted the SSD, installed Windows from scratch and before installing any BC, I decided to try the docker approach.

For one of the projects I’m using BC 19.2, but with a twist, since it is a LS Retail project, so I have to replace the BC database.

For the second project, I’m using BC 20.4

I was able to install both versions of BC and deploy my extensions, but I wasn’t able at that time to make the 19.2 to work with the LS Retail database, since it implied changing the database, and copying some dependencies in the Add-ins folder.

Then August started and I kept moving with the 20.4 project, but This week, I needed to advance with the 19.2 version, so I gave it another try.

With this script I was able to configure BC to use the database in my local SQL Server instead of the container one.

$containerName = 'ls192' $credential = Get-Credential -Message 'Using UserPassword authentication. Please enter credentials for the container.' $auth = 'UserPassword' $artifactUrl = Get-BcArtifactUrl -type 'OnPrem' -version '19.2' -country 'w1' -select 'Latest' $databaseServer = 'MYPCNAME' $databaseInstance = '' $databaseName = 'LS192' $databaseUsername = 'sa' $databasePassword = 'mysupersecurepassword' $databaseSecurePassword = ConvertTo-SecureString -String $databasePassword -AsPlainText -Force $databaseCredential = New-Object pscredential $databaseUsername, $databaseSecurePassword $licenseFile = 'c:\tmp\bc19.flf' New-BcContainer ` -accept_eula ` -containerName $containerName ` -credential $credential ` -auth $auth ` -artifactUrl $artifactUrl ` -databaseServer $databaseServer -databaseInstance $databaseInstance -databaseName $databaseName ` -databaseCredential $databaseCredential ` -licenseFile $licenseFile ` -updateHosts 

This script uses an existing database in my host SQL Server, the database I restored previously and passed my SQL Credentials to the script. This is the point where I had an error back at the beggining of this month and stopped trying. The error was that when I tried this, I had the firewall in the host enabled. I tried a lot of things to get past the error, including changing MYPCNAME for localhost. Then disabled the firewall, configured named pipes for SQL Server and kept getting the same error. Just to be sure I tried everything, I reverted the localhost to MYPCNAME and it worked fine this time.

Then I had to create a user in the database, so I used this script:

$password = "anothersupersecurepassword" $securePassword = ConvertTo-SecureString -String $password -AsPlainText -Force $credential = New-Object System.Management.Automation.PSCredential -argumentList "myusername", $securePassword New-BcContainerBcUser -Credential $credential -containerName ls192 -PermissionSetId SUPER -Verbose -ChangePasswordAtNextLogOn 0

After that, there were those dependencies I mentioned before. Being no expert in Docker, I can't explain this behavior, but i copied the LSRetail folder from the host to the container, and then entered the container and tried to copy the folder to the add-ins folder, but that didn't worked. It copied the folder, but not the contents...

So, i decided to push my luck and modify the docker cp command like this:

docker cp C:\tmp\LSRetail "ls192:/program files/microsoft dynamics nav/190/service/add-ins"

And, it worked just fine.

Now I have the development environment for both of my projects, and wrote this post so i can come back if I need this in the future.

[tak4hir0]

At the core of Tableau is data - your data. Your data can come in different formats and structures, categorized at varying levels of detail, and can have relationships with other data. This is the kind of metadata that you can expect to surface from the Metadata API using GraphQL. In order to successfully create effective GraphQL queries, you need to understand how Tableau interprets and interacts with content and assets. Understanding this can inform the most efficient way for you to access metadata at the level of detail that you need. Because the Metadata API uses GraphQL, this section describes the fundamental objects that are available to you to use in a GraphQL query. In this section Tableau content and assets Objects and their roles Object types and inherited attributes Other objects related to Tableau content and assets Tableau metadata model Example metadata model Example scenario 1: Impact analysis Example scenario 2: Lineage analysis Additional notes about the metadata model Tableau content and assets The Metadata API surfaces the content and assets that comprise your Tableau Online site or Tableau Server, the content and asset roles, and how the content and assets relate to each other. General Tableau content Tableau content is unique to the Tableau platform. Content includes the following: Data sources - both published and embedded Workbooks Sheets - including dashboards and stories Fields: calculated, column - as they relate to the data source, group, bin, set, hierarchy, combined, and combined set Filters: data source Parameters Flows Tableau Online and Tableau Server specific content Tableau content that can only be managed through Tableau Online or Tableau Server includes the following: Sites Projects Users Certifications and certifiers Data quality warnings and messages Note: Some content listed above can be managed through the Tableau Server REST API as well. External assets associated with Tableau content The Metadata API treats information about any data that comes from outside of the Tableau environment as external assets. External assets include the following: Databases - includes local files, remote connections to servers, and web data connectors (WDC) Tables - includes queries (custom SQL) Objects and their roles The GraphQL schema used by the Metadata API organizes content and assets on Tableau Online and Tableau Server by grouping them by object and role. These objects and their roles are the foundation to your GraphQL queries. Parent object and role Parent objects, a mix of both content and assets, can be managed independently of other objects and play the role of a container. Parent objects can refer to other parent objects, can refer to child objects, and can also own child objects. Parent objects Databases Tables Published data sources Workbooks Flows Sites Projects Users Child object and role Child objects, also a mix of both content and assets, cannot be managed independently of their parent object. Therefore, child objects play a dependent role on their parent object. Some child objects can own other child objects, can refer to other child objects, and in some cases, refer to certain parent objects. Child objects Columns Fields Embedded data sources Sheets Aliases Parameters Data source filters Parent/child object relationship The GraphQL schema defines the parent/child object relationship by what the objects can own or contain. In other words, an object is a parent object when it functions as a container for other (child) objects. Parent object Can own or contain objects... DatabaseServer CloudFileCustomSqlTableDatabaseTableFileWebDataConnector DatabaseTable Column PublishedDataSource DataSourceFilterAnalyticsFieldBinFieldCalculatedFieldColumnFieldCombinedFieldCombinedSetFieldDataSourceFieldGroupFieldHierarchyFieldSetField Workbook EmbeddedDataSourceDashboardSheet Sheet Field??(sheet type - e.g., calculated fields created in the Row or Column shelf) Flow FlowInputFieldFlowOutputField TableauSite - TableauProject - User - Object types and inherited attributes Parallel to parent/child object role and relationship, the GraphQL schema organizes objects by object type and the attributes that it can inherit from the object. To do this, objects are implemented in the GraphQL schema using “interfaces.” From each interface, object types inherit attributes and properties. This means that the object types that have the same interface have a logical association with each other and share common attributes and properties. In addition to the shared attributes and properties, object types can also have unique attributes and properties. Examples of object types and their inherited attributes The table below captures example objects, object types (interface), and their common and unique attributes and properties. Object Object type or interface Common attributes and properties Unique attributes and properties Database CloudFileDatabaseServerFileWebDataConnector idvizportalidluidnamehostnameportisEmbeddedconnectionTypedescriptioncontactisControlledPermissionsEnabledisCertifiedcertificationNotecertifiertablestablesConnectiondatatQualityWarninghasActiveWarningservice CloudFile providerfileExtensionmimeTypefieldrequestUrl DatabaseServer extendedConnectionTypehostNameport File filePath WebDataConnector connectorUrl Table DatabaseTableCustomSQLTable idnameisEmbeddeddescriptionisCertifiedcertificationNote CustomSQLTable query DatabaseTable luidvizportalIdschemafullNamecontact Datasource PublishedDatasourceEmbeddedDatasource idnamehasUserReferencehasExtractsextractLastRefreshTimeextractLastUpdateTimeextractLastIncrementalUpdateTimeextractLastUpdateTimefieldsfieldsConnectiondatasourceFiltersdatasourceFiltersConnection PublishedDataSource luidparametersparametersConnectionsiteprojectownerisCertifiedcertifiercertificationNotecertifierDisplayNamedescriptionurivizportalURLId EmbeddedDatasource workbook Warnable (data quality warning) CloudFileDatabaseServerFileWebDataConnectorDatabaseTablePublishedDatasourceFlow idhasActiveWarningdataQualityWarning - Other objects related to Tableau content and assets Lineage shortcut objects The Metadata API enables you to see relationships between the content and asset that you’re evaluating with other items on your Tableau Online site or Tableau Server. These items include the following: Upstream and downstream content - including data sources, workbooks, sheets, fields, flows, and owners Upstream and downstream assets - including databases, tables, and columns You can quickly access this type of information by using shortcut objects defined in the GraphQL schema. These lineage or relationship objects use the upstream or downstream prefix. For example, you can use upstreamTablesConnection to query the tables used by a data source or use downstreamSheetsConnection to query sheets used by a workbook. For an example query that uses lineage shortcut, see Filtering section in the Example Queries topic. Pagination objects The Metadata API enables you to traverse through relationships within the data that you’re querying using pagination. The GraphQL schema defines pagination objects as those objects that use the Connection suffix. For example, you can use the databasesConnection to get a list of paginated results of database assets on your Tableau Online site or Tableau Server. For an example query that uses pagination, see Pagination section in the Example Queries topic. Together, all objects, the roles they play, the relationships they have with each other and their attributes and properties define the metadata model for a particular set of objects. The metadata model is a snapshot (or in GraphQL terms, a graph) of how Tableau interprets and relates a set of objects on your Tableau Online site or Tableau Server. From the metadata model, you can understand the dependencies and relationships in your data. To see how the metadata model used by the Metadata API works, review the following example scenarios. Example metadata model Suppose you have three workbooks (parent objects) and two data sources (parent objects) published to Tableau Online or Tableau Server. For this scenario, the two published data source objects refer to the three workbook objects. The workbook objects own four sheet objects. These sheet objects in turn refer to two field objects that are owned by the published data source objects. Here’s what the metadata model for this scenario might look like. Notes: A sold line with an arrow indicates a ownership relationship. A dotted line indicates a reference relationship. Example scenario 1: Impact analysis In an impact analysis scenario, the metadata model can help you answer how data might be affected if a part of the metadata model changes. In this scenario, you might want to know what could happen if the published data source, John County - 1, is deleted. As you know now from the metadata model, sheet objects are owned by workbook objects, and sheet objects can refer to the field objects. In this scenario, the field objects are owned by the published data source objects. Published data source objects own field objects. Therefore, if John County - 1 is deleted, the child objects, F1, Hills Library, and Garden Library, are directly affected and their existence compromised because of their dependency on that data source object. The other child objects, F2, Garden Senior Center, and Cliff Senior Center, though they might be affected by the data source object being deleted, their existence is not compromised. During this analysis, you can see that because John County - 1 doesn’t own the workbook objects that connect to it, the workbook objects themselves, both Sakura District and Maple District can continue to exist in the absence of the published data source object. Example scenario 2: Lineage analysis In a lineage flow analysis scenario, you can look at particular part of the metadata model and identify where the data is coming from and how the data reacts or is affected by different parts of the metadata model. In this scenario, you might want to know where a data point from a sheet object, Garden Senior Center, in a workbook object, Maple District, is coming from. Based on what you know from the metadata model, attributes are inherited from the parent object . Therefore, if you start from Garden Senior Center sheet object, you can move to the referring field object, F2, to see that it’s owned by a published data source object. In this case, John County - 2 is the source for the data point. During this analysis, you are able to freely include or exclude parts of the metadata model in order to understand the lineage flow for Garden Senior Center. For example, you can choose to exclude Garden Library sheet object even though it’s also owned by the same workbook object, Maple District. Additional notes about the metadata model When using custom SQL The metadata model interprets customSQL queries as tables. When custom SQL queries are defined in your data source or flow, the queries have to fit a set of criteria to be recognized and interpreted by the Metadata API. For more information, see Tableau Catalog support for custom SQL in the Tableau Help. When using the databaseTable object in a query When you run a query using the databaseTable object, for some databases, the schema attribute might not return the correct schema name for the table. This issue can occur when the selected schema, while creating or editing a data source, workbook, or flow, is changed after adding the table. When the selected schema changes after adding the table, the schema attribute your query returns is the name of the last selected schema instead of the actual schema that the table is using. Databases that might return the incorrect schema in the scenario described above include Amazon Athena and Exasol.

[hacknews]

Newly Patched SAP ASE Flaws Could Let Attackers Hack Database Servers #cybersecurity #databasesecurity #databaseserver #enterpriseserver #sapapplication #sapsystem #vulnerability #hacking #hacker #cybersecurity #hack #ethicalhacking #hacknews

[mrhackerco]

Newly Patched SAP ASE Flaws Could Let Attackers Hack Database Servers | MrHacker.Co #cybersecurity #databasesecurity #databaseserver #enterpriseserver #sapapplication #hacker #hacking #cybersecurity #hackers #linux #ethicalhacking #programming #security #mrhacker

[technicallybabytastemaker-blog]

Android application linked with server dissertation sample How to connect Android to a database server - Stack Overflow

Android application linked with server dissertation sample. You should either use web services or implement an HTTP handler and transfer in a RESTful manner. In order to connect to a MySQL server, you need a MySQL client. Android does not come with any MySQL libraries. You may be able to take a generic Java MySQL library and fudge it to work with Android, but that would be a big undertaking and wasted time. The link you pointed to already told you that what you're trying to do is wrong in the first place. Don't connect to a database across the internet! You will need something on your server that responds to HTTP requests, looks up data in the database, and sends them back via HTTP. The link already mentioned a few options. You could even write something yourself, although it's most likely easier to use an existing solution than trying to make your own approach safe and hack-proof. I tried to connect DatabaseServer from an Android Application,initially i faced some issue while i was using jtds, jar package for database Driver Support, instead of using jtds jar file use mysql-Connector jar file for Database Driver Support. I hope it could work. Cheers Rajesh P Yadav. I'm a fan of Offline First, meaning your app should be usable without a connection. To facilitate this, I would recommend using a SQLite local database, and syncing to a remote database when online. You can use a tool like SymmetricDS or Daffodil Replicator to sync your local and remote databases over HTTP(S). You won't be able to connect directly to a MySQL database with the HttpClient, as the MySQL database doesn't operate on that protocol. The second part of the answer to the question you linked recommends going with web services and consuming those to communicate with the database server.... View more ...

[ictbaneninnederland]

Oracle DBA

JobBoost.io - Amsterdam, Noord-Holland - Senior Oracle database specialist uit de regio Amsterdam? Lees verder! Wat je gaat doen De Database ontwerper en - beheerder ziet toe dat de Oracle databases en Oracle databaseservers voldoen aan standaarden en richtlijnen, stelt wijzigingsverzoeken op, installeert updates en... http://dlvr.it/QjgwVv

[innovakk-blog]

Hva tilbyr høyt anerkjente norske dataspesialister?

Datorspesialister er en av de mest jaktede fagpersonene i dag. Du trenger ikke være smart for å forstå årsaken bak den høye etterspørselen etter dataspesialister og databedrifter. Årsaken er veldig enkel. Alle bruker datamaskiner, og fordi det er en maskin er det nødvendigvis tekniske problemer. Det er nettopp derfor folk søker etter en MS Excel-ekspertv, PowerPoint-spesialist eller andre relevante fagfolk. De beste selskapene tilbyr ulike typer løsninger for å oppfylle de stadig skiftende kravene til de ulike bedriftene.

Sette opp de riktige funksjonene

Hvis du ikke har riktig teknologiekspertise, vil du ikke kunne få de beste funksjonene på din datamaskin. De beste spesialistene utfører denne oppgaven på en fullstendig tilpasset måte for å møte dine unike forretningsbehov. De programmerer og samarbeider med deg om løsningene på en slik måte at alt passer perfekt til din bedrift og metode å arbeide på. De fleste vet hvordan et Excel-ark fungerer, men å tilpasse funksjoner ved å programmere dem gir mange fordeler. Den beste dataspesialisten utfører denne oppgaven med klinisk presisjon for sine kunder. De beste dataspesialistene tilbyr også egne Excel-kurs online for sine kunder.

  Å løse utfordringer på datamaskinen og med ens data blir enkelt

Svært pålitelige dataspesialistfirmaer nyter utfordringen og spenningen som er involvert i å løse ulike typer datamaskinproblemer. De studerer dataproblemet på en detaljert måte, og du kan forvente en løsning raskt. Du kan også kontakte data-spesialisten for å tilpasse nettstedet ditt på en rimelig måte.

Å løse SQL Server problemer uten noe problem

En Microsoft SQL-server kan alltid beskrives som en sterk og dynamisk databaseserver. Den kan håndtere mye data med stor hastighet, og hvis du står overfor et problem på denne serveren, må du ansette en Microsoft SQL-server ekspert fra et anerkjent dataspesialfirma. Erfarne fagfolk har grundig kunnskap om oppsett, drift og vedlikehold av disse serverne, og de trener selv sine kunder for å gjøre dem rustet til å håndtere vanlige serverproblemer.

  Ulike typer tjenester

Ledende selskaper tilbyr ulike typer svært dynamiske Microsoft Excel-løsninger i Norge, og du kan også forvente de beste Microsoft Access-løsninger, Wordpress-tjenester, .NET og PHP-løsninger, SQL-servertjenester, PowerPoint-løsninger, Outlook-løsninger og mange flere. De beste tjenesteleverandørene har mange års erfaring, og deres upåklagelige gjennomføringsevne med mange vellykkede prosjekter gir deg som kunde en trygghet. Hvis du ser på tilbakemeldingene fra eksisterende kunder, kan du oppdage at de er utrolig fornøyde med de tilbudte løsningene. Alle disse tingene peker på betydningen av å ansette de mest kjente dataspesialistene i Norge.

Leter du etter et svært pålitelig dataspesialistfirma i Norge? Da kan du leie inn Innova Kurs og Konsulenttjenester. Dette selskapet tilbyr et bredt utvalg av løsninger og tjenester for sine kunder til de mest konkurransedyktige prisene som er tilgjengelige i markedet. De har mer enn 19 års erfaring i bransjen, og du kan forvente rask oppfølging og god kundeservice med dette anerkjente dataselskapet i Oslo.

[techvandaag]

MySQL 8.0

MySQL is een krachtige opensource-databaseserver die vooral populair is als website- en forumdatabase. Ook Tweakers.net maakt gebruik van MySQL om onder andere gebruikersgegevens, statistieken en diverse review-, meuk- en nieuwsartikelen in op te slaan. De ontwikkelaars hebben versie uit de 5.8 uitgebracht. Voor meer informatie over de verbeteringen in de 8.0-release verwijzen we door naar deze pagina. Oracle heeft de volgende aankondiging meegeleverd: http://dlvr.it/QQHL3F

[hacknews]

Newly Patched SAP ASE Flaws Could Let Attackers Hack Database Servers #cybersecurity #databasesecurity #databaseserver #enterpriseserver #sapapplication #sapsystem #vulnerability #hacking #hacker #cybersecurity #hack #ethicalhacking #hacknews

[ictbaneninnederland]

Oracle DBA

JobBoost.io - Amsterdam, Noord-Holland - Senior Oracle database specialist uit de regio Amsterdam? Lees verder! Wat je gaat doen De Database ontwerper en - beheerder ziet toe dat de Oracle databases en Oracle databaseservers voldoen aan standaarden en richtlijnen, stelt wijzigingsverzoeken op, installeert updates en... http://dlvr.it/QVhjkk

[ictbaneninnederland]

Oracle database ontwerper

JobBoost.io - Amsterdam, Noord-Holland - Senior Oracle database specialist uit de regio Amsterdam? Lees verder! Wat je gaat doen De Database ontwerper en - beheerder ziet toe dat de Oracle databases en Oracle databaseservers voldoen aan standaarden en richtlijnen, stelt wijzigingsverzoeken op, installeert updates en... http://dlvr.it/QFvG6K