Search Results

Search found 30474 results on 1219 pages for 'relational database'.

Page 98/1219 | < Previous Page | 94 95 96 97 98 99 100 101 102 103 104 105  | Next Page >

  • The Database Recovery Advisor in SQL Server 2012

    The Database Recovery Advisor in SQL Server 2012 will aid the ability of DBAs to recover their databases to a point in time in a crisis. Read about this new feature and how it can speed the process of recovery. What are your servers really trying to tell you? Find out with new SQL Monitor 3.0, an easy-to-use tool built for no-nonsense database professionals.For effortless insights into SQL Server, download a free trial today.

    Read the article

  • Steps to Rename a Subscriber Database for SQL Server Transactional Replication

    I have transactional replication configured in production. The business team has a requirement to rename the subscription database. Is it possible to rename the subscription database and ensure that transactional replication will continue to function as before? If so, how could we achieve this? Get smart with SQL Backup ProPowerful centralised management, encryption and more.SQL Backup Pro was the smartest kid at school. Discover why.

    Read the article

  • Database Insider - April 2012 issue

    - by Javier Puerta
    INFORMATION INDEPTH NEWSLETTER Database Insider Edition The  April issue of the Database Insider newsletter is now available.Includes, among many other: Oracle Advanced Analytics for Big Data Best Practices for Workload Management of a Data Warehouse on Oracle Exadata Best Practices for Implementing a Data Warehouse on Oracle Exadata

    Read the article

  • Database Deployment: The Bits - Getting Data In

    Quite often, the database developer or tester is faced with having to load data into a newly created database. What could be simpler? Quite a lot of things, it seems. SQL Backup Pro wins Gold Community Choice AwardFind out why the SQL Server Community voted SQL Backup Pro 'Best Backup and Recovery Product 2012'. Get faster, smaller, fully verified backups. Download a free trial now.

    Read the article

  • Database Mirroring Performance Monitoring

    Many people deploy performance monitoring solutions in a "one-size-fits-all" manner. That is, they tend to build a solution that can be easily deployed to multiple servers and capture basic information from each server. The trouble is that not every server is identical, not even within the same shop. For example, not every server may have database mirroring deployed, which means your performance monitoring solution may be missing some critical pieces of information with regards to monitoring database mirroring.

    Read the article

  • How security of the systems might be improved using database procedures?

    - by Centurion
    The usage of Oracle PL/SQL procedures for controlling access to data often emphasized in PL/SQL books and other sources as being more secure approach. I'v seen several systems where all business logic related with data is performed through packages, procedures and functions, so application code becomes quite "dumb" and is only responsible for visualization part. I even heard some devs call such approaches and driving architects as database nazi :) because all logic code resides in database. I do know about DB procedure performance benefits, but now I'm interested in a "better security" when using thick client model. I assume such design mostly used when Oracle (and maybe MS SQL Server) databases are used. I do agree such approach improves security but only if there are not much users and every system user has a database account, so we might control and monitor data access through standard database user security. However, how such approach could increase the security for an average web system where thick clients are used: for example one database user with DML grants on all tables, and other users are handled using "users" and"user_rights" tables? We could use DB procedures, save usernames into context use that for filtering but vulnerability resides at the root - if the main database account is compromised than nothing will help. Of course in a real system we might consider at least several main users (for example frontend_db_user, backend_db_user).

    Read the article

  • Database Activity Monitoring Part 1 - An Introduction

    We are inundated with new technologies and products designed to help make our organisations safe from hackers and other malcontents. One technology that has gained ground over the past few years is database activity monitoring. It makes sense to protect valuable databases, and by adding an intelligent monitor capable of sniffing out threats an additional level of protection can be gained. But what is database activity monitoring and why should you care?

    Read the article

  • New SQL Monitor Custom Metric: Database Autogrowth

    This metric for Red Gate SQL Monitor measures the number of database autogrowth events (data file or log file) in the last hour. Too many autogrowth events causes disk fragmentation which requires a change in the autogrowth settings of a database. ‘Disturbing Development’Grant Fritchey & the DBA Team present the latest installment of the Top 5 hard-earned lessons of a DBA – read it now

    Read the article

  • Free eBook: Defensive Database Programming

    Resilient T-SQL code is code that is designed to last, and to be safely reused by others. The goal of defensive database programming, the goal of this book, is to help you to produce resilient T-SQL code that robustly and gracefully handles cases of unintended use, and is resilient to common changes to the database environment. 12 must-have SQL Server toolsThe award-winning SQL Developer Bundle contains 12 tools for faster, simpler SQL Server development. Download a free trial.

    Read the article

  • ???????/???Oracle Database Core Tech Seminar Oracle Data Guard,Oracle Recovery Manager(RMAN),Flashback

    - by user788995
    ????? ??:2012/05/14 ??:??????/?? Oracle Database????????????????Core Tech Seminar? ????????????????????????????????????Oracle Data Guard?Oracle Recovery Manager?Oracle Flashback Technology????????????·?????????? Active Data GuardRecovery Manager(RMAN)Flashback?????? ????????? ????????????????? http://otndnld.oracle.co.jp/ondemand/otn-seminar/movie/D3-22.wmv http://otndnld.oracle.co.jp/ondemand/otn-seminar/movie/mp4/D3-22.mp4 http://www.oracle.com/technetwork/jp/ondemand/database/db-new/d3-22-dl-1626591-ja.pdf

    Read the article

  • Accidently overwrote system.dbf - What now?

    - by Filip Ekberg
    I accidentally overwrote system.dbf in /usr/lib/oracle/xe/oradata/XE/system.dbf Well I did not actually do it accidentally, however I overwrote it because of other failures in the database. And when I try running the following: SQL> shutdown ORA-01109: database not open Database dismounted. ORACLE instance shut down. SQL> startup ORACLE instance started. Total System Global Area 289406976 bytes Fixed Size 1258488 bytes Variable Size 92277768 bytes Database Buffers 192937984 bytes Redo Buffers 2932736 bytes Database mounted. ORA-01589: must use RESETLOGS or NORESETLOGS option for database open Now I want to try to Recover the database because starting it in mounted or standard surely doesn't work. SQL> recover database using backup controlfile; ORA-00283: recovery session canceled due to errors ORA-01110: data file 1: '/usr/lib/oracle/xe/oradata/XE/system.dbf' ORA-01122: database file 1 failed verification check ORA-01110: data file 1: '/usr/lib/oracle/xe/oradata/XE/system.dbf' ORA-01206: file is not part of this database - wrong database id How do I solve this? Is it even possible? My "real" problem was that I ran the /etc/init.d/oracle-xe configure and it overwrote my old configuration and probably removed passwords and such so my tables were gone, however I found the mytablespace.dbf so I hope that it is possible to recover? Please shed some light on this.

    Read the article

  • Upcoming Database Design Pre-Cons

    - by drsql
    In July and October, I will be doing my "How To Design a Relational Database" full day conference in two places. First on July 26 for the East Iowa SQL Saturday , and then for the big daddy SQLPASS Summit in Charlotte, NC on October 14. You can see the entire abstract here on the SQL PASS site. It is essentially the same concept as last year, but this year I am making a few big changes to really give the people what they have desired (and am truly glad to have a swing at it several months...(read more)

    Read the article

  • With Its MySQL Database-as-a-Service CERN Empowers Scientists

    - by Bertrand Matthelié
    The European Organization for Nuclear Research (CERN) is one of the world’s largest and most respected centers for scientific research. Founded in 1954 and located near Geneva on the Franco-Swiss border, CERN was one of Europe’s first joint ventures. Today, it has 20 member states. The organization uses the world’s largest and most complex scientific instruments to study fundamental particles and the origin of the universe. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Challenges Better support the scientists associated with a CERN research program who selected MySQL as their database. Empower users, enabling them to be as self-reliant as possible. Minimize complexity and costs for the CERN IT department to support the growing number of MySQL deployments. Solution Delivered a MySQL Database-as-a-Service offering to the CERN employees and the scientists associated with the organization. Allowed researchers selecting MySQL for their project to get access to a database instance hosted by the CERN IT department, either from the start or once their application has become critical. Implemented the service using Oracle’s server virtualization software, Oracle VM, for increased flexibility and reduced costs. Empowered users with a self-service approach, providing them with tools to manage MySQL themselves while handling backups and other basic database administration tasks for them. Enabled scientists to rely on MySQL with increased reliability, security and manageability while reducing complexity and minimizing costs. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} "The Cloud model has allowed us to deliver a self-service platform to our MySQL users, empowering them while minimizing costs for CERN." Tony Cass, Database Services Group Leader, IT department, CERN.

    Read the article

  • How to overcome shortcomings in reporting from EAV database?

    - by David Archer
    The major shortcomings with Entity-Attribute-Value database designs in SQL all seem to be related to being able to query and report on the data efficiently and quickly. Most of the information I read on the subject warn against implementing EAV due to these problems and the commonality of querying/reporting for almost all applications. I am currently designing a system where almost all the fields necessary for data storage are not known at design/compile time and are defined by the end-user of the system. EAV seems like a good fit for this requirement but due to the problems I've read about, I am hesitant in implementing it as there are also some pretty heavy reporting requirements for this system as well. I think I've come up with a way around this but would like to pose the question to the SO community. Given that typical normalized database (OLTP) still isn't always the best option for running reports, a good practice seems to be having a "reporting" database (OLAP) where the data from the normalized database is copied to, indexed extensively, and possibly denormalized for easier querying. Could the same idea be used to work around the shortcomings of an EAV design? The main downside I see are the increased complexity of transferring the data from the EAV database to reporting as you may end up having to alter the tables in the reporting database as new fields are defined in the EAV database. But that is hardly impossible and seems to be an acceptable tradeoff for the increased flexibility given by the EAV design. This downside also exists if I use a non-SQL data store (i.e. CouchDB or similar) for the main data storage since all the standard reporting tools are expecting a SQL backend to query against. Do the issues with EAV systems mostly go away if you have a seperate reporting database for querying? EDIT: Thanks for the comments so far. One of the important things about the system I'm working on it that I'm really only talking about using EAV for one of the entities, not everything in the system. The whole gist of the system is to be able to pull data from multiple disparate sources that are not known ahead of time and crunch the data to come up with some "best known" data about a particular entity. So every "field" I'm dealing with is multi-valued and I'm also required to track history for each. The normalized design for this ends up being 1 table per field which makes querying it kind of painful anyway. Here are the table schemas and sample data I'm looking at (obviously changed from what I'm working on but I think it illustrates the point well): EAV Tables Person ------------------- - Id - Name - ------------------- - 123 - Joe Smith - ------------------- Person_Value ------------------------------------------------------------------- - PersonId - Source - Field - Value - EffectiveDate - ------------------------------------------------------------------- - 123 - CIA - HomeAddress - 123 Cherry Ln - 2010-03-26 - - 123 - DMV - HomeAddress - 561 Stoney Rd - 2010-02-15 - - 123 - FBI - HomeAddress - 676 Lancas Dr - 2010-03-01 - ------------------------------------------------------------------- Reporting Table Person_Denormalized ---------------------------------------------------------------------------------------- - Id - Name - HomeAddress - HomeAddress_Confidence - HomeAddress_EffectiveDate - ---------------------------------------------------------------------------------------- - 123 - Joe Smith - 123 Cherry Ln - 0.713 - 2010-03-26 - ---------------------------------------------------------------------------------------- Normalized Design Person ------------------- - Id - Name - ------------------- - 123 - Joe Smith - ------------------- Person_HomeAddress ------------------------------------------------------ - PersonId - Source - Value - Effective Date - ------------------------------------------------------ - 123 - CIA - 123 Cherry Ln - 2010-03-26 - - 123 - DMV - 561 Stoney Rd - 2010-02-15 - - 123 - FBI - 676 Lancas Dr - 2010-03-01 - ------------------------------------------------------ The "Confidence" field here is generated using logic that cannot be expressed easily (if at all) using SQL so my most common operation besides inserting new values will be pulling ALL data about a person for all fields so I can generate the record for the reporting table. This is actually easier in the EAV model as I can do a single query. In the normalized design, I end up having to do 1 query per field to avoid a massive cartesian product from joining them all together.

    Read the article

  • LLBLGen Pro feature highlights: grouping model elements

    - by FransBouma
    (This post is part of a series of posts about features of the LLBLGen Pro system) When working with an entity model which has more than a few entities, it's often convenient to be able to group entities together if they belong to a semantic sub-model. For example, if your entity model has several entities which are about 'security', it would be practical to group them together under the 'security' moniker. This way, you could easily find them back, yet they can be left inside the complete entity model altogether so their relationships with entities outside the group are kept. In other situations your domain consists of semi-separate entity models which all target tables/views which are located in the same database. It then might be convenient to have a single project to manage the complete target database, yet have the entity models separate of each other and have them result in separate code bases. LLBLGen Pro can do both for you. This blog post will illustrate both situations. The feature is called group usage and is controllable through the project settings. This setting is supported on all supported O/R mapper frameworks. Situation one: grouping entities in a single model. This situation is common for entity models which are dense, so many relationships exist between all sub-models: you can't split them up easily into separate models (nor do you likely want to), however it's convenient to have them grouped together into groups inside the entity model at the project level. A typical example for this is the AdventureWorks example database for SQL Server. This database, which is a single catalog, has for each sub-group a schema, however most of these schemas are tightly connected with each other: adding all schemas together will give a model with entities which indirectly are related to all other entities. LLBLGen Pro's default setting for group usage is AsVisualGroupingMechanism which is what this situation is all about: we group the elements for visual purposes, it has no real meaning for the model nor the code generated. Let's reverse engineer AdventureWorks to an entity model. By default, LLBLGen Pro uses the target schema an element is in which is being reverse engineered, as the group it will be in. This is convenient if you already have categorized tables/views in schemas, like which is the case in AdventureWorks. Of course this can be switched off, or corrected on the fly. When reverse engineering, we'll walk through a wizard which will guide us with the selection of the elements which relational model data should be retrieved, which we can later on use to reverse engineer to an entity model. The first step after specifying which database server connect to is to select these elements. below we can see the AdventureWorks catalog as well as the different schemas it contains. We'll include all of them. After the wizard completes, we have all relational model data nicely in our catalog data, with schemas. So let's reverse engineer entities from the tables in these schemas. We select in the catalog explorer the schemas 'HumanResources', 'Person', 'Production', 'Purchasing' and 'Sales', then right-click one of them and from the context menu, we select Reverse engineer Tables to Entity Definitions.... This will bring up the dialog below. We check all checkboxes in one go by checking the checkbox at the top to mark them all to be added to the project. As you can see LLBLGen Pro has already filled in the group name based on the schema name, as this is the default and we didn't change the setting. If you want, you can select multiple rows at once and set the group name to something else using the controls on the dialog. We're fine with the group names chosen so we'll simply click Add to Project. This gives the following result:   (I collapsed the other groups to keep the picture small ;)). As you can see, the entities are now grouped. Just to see how dense this model is, I've expanded the relationships of Employee: As you can see, it has relationships with entities from three other groups than HumanResources. It's not doable to cut up this project into sub-models without duplicating the Employee entity in all those groups, so this model is better suited to be used as a single model resulting in a single code base, however it benefits greatly from having its entities grouped into separate groups at the project level, to make work done on the model easier. Now let's look at another situation, namely where we work with a single database while we want to have multiple models and for each model a separate code base. Situation two: grouping entities in separate models within the same project. To get rid of the entities to see the second situation in action, simply undo the reverse engineering action in the project. We still have the AdventureWorks relational model data in the catalog. To switch LLBLGen Pro to see each group in the project as a separate project, open the Project Settings, navigate to General and set Group usage to AsSeparateProjects. In the catalog explorer, select Person and Production, right-click them and select again Reverse engineer Tables to Entities.... Again check the checkbox at the top to mark all entities to be added and click Add to Project. We get two groups, as expected, however this time the groups are seen as separate projects. This means that the validation logic inside LLBLGen Pro will see it as an error if there's e.g. a relationship or an inheritance edge linking two groups together, as that would lead to a cyclic reference in the code bases. To see this variant of the grouping feature, seeing the groups as separate projects, in action, we'll generate code from the project with the two groups we just created: select from the main menu: Project -> Generate Source-code... (or press F7 ;)). In the dialog popping up, select the target .NET framework you want to use, the template preset, fill in a destination folder and click Start Generator (normal). This will start the code generator process. As expected the code generator has simply generated two code bases, one for Person and one for Production: The group name is used inside the namespace for the different elements. This allows you to add both code bases to a single solution and use them together in a different project without problems. Below is a snippet from the code file of a generated entity class. //... using System.Xml.Serialization; using AdventureWorks.Person; using AdventureWorks.Person.HelperClasses; using AdventureWorks.Person.FactoryClasses; using AdventureWorks.Person.RelationClasses; using SD.LLBLGen.Pro.ORMSupportClasses; namespace AdventureWorks.Person.EntityClasses { //... /// <summary>Entity class which represents the entity 'Address'.<br/><br/></summary> [Serializable] public partial class AddressEntity : CommonEntityBase //... The advantage of this is that you can have two code bases and work with them separately, yet have a single target database and maintain everything in a single location. If you decide to move to a single code base, you can do so with a change of one setting. It's also useful if you want to keep the groups as separate models (and code bases) yet want to add relationships to elements from another group using a copy of the entity: you can simply reverse engineer the target table to a new entity into a different group, effectively making a copy of the entity. As there's a single target database, changes made to that database are reflected in both models which makes maintenance easier than when you'd have a separate project for each group, with its own relational model data. Conclusion LLBLGen Pro offers a flexible way to work with entities in sub-models and control how the sub-models end up in the generated code.

    Read the article

  • SQL SERVER – Get All the Information of Database using sys.databases

    - by pinaldave
    Earlier I wrote blog article SQL SERVER – Finding Last Backup Time for All Database. In the response of this article I have received very interesting script from SQL Server Expert Matteo as a comment in the blog. He has written script using sys.databases which provides plenty of the information about database. I suggest you can run this on your database and know unknown of your databases as well. SELECT database_id, CONVERT(VARCHAR(25), DB.name) AS dbName, CONVERT(VARCHAR(10), DATABASEPROPERTYEX(name, 'status')) AS [Status], state_desc, (SELECT COUNT(1) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'rows') AS DataFiles, (SELECT SUM((size*8)/1024) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'rows') AS [Data MB], (SELECT COUNT(1) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'log') AS LogFiles, (SELECT SUM((size*8)/1024) FROM sys.master_files WHERE DB_NAME(database_id) = DB.name AND type_desc = 'log') AS [Log MB], user_access_desc AS [User access], recovery_model_desc AS [Recovery model], CASE compatibility_level WHEN 60 THEN '60 (SQL Server 6.0)' WHEN 65 THEN '65 (SQL Server 6.5)' WHEN 70 THEN '70 (SQL Server 7.0)' WHEN 80 THEN '80 (SQL Server 2000)' WHEN 90 THEN '90 (SQL Server 2005)' WHEN 100 THEN '100 (SQL Server 2008)' END AS [compatibility level], CONVERT(VARCHAR(20), create_date, 103) + ' ' + CONVERT(VARCHAR(20), create_date, 108) AS [Creation date], -- last backup ISNULL((SELECT TOP 1 CASE TYPE WHEN 'D' THEN 'Full' WHEN 'I' THEN 'Differential' WHEN 'L' THEN 'Transaction log' END + ' – ' + LTRIM(ISNULL(STR(ABS(DATEDIFF(DAY, GETDATE(),Backup_finish_date))) + ' days ago', 'NEVER')) + ' – ' + CONVERT(VARCHAR(20), backup_start_date, 103) + ' ' + CONVERT(VARCHAR(20), backup_start_date, 108) + ' – ' + CONVERT(VARCHAR(20), backup_finish_date, 103) + ' ' + CONVERT(VARCHAR(20), backup_finish_date, 108) + ' (' + CAST(DATEDIFF(second, BK.backup_start_date, BK.backup_finish_date) AS VARCHAR(4)) + ' ' + 'seconds)' FROM msdb..backupset BK WHERE BK.database_name = DB.name ORDER BY backup_set_id DESC),'-') AS [Last backup], CASE WHEN is_fulltext_enabled = 1 THEN 'Fulltext enabled' ELSE '' END AS [fulltext], CASE WHEN is_auto_close_on = 1 THEN 'autoclose' ELSE '' END AS [autoclose], page_verify_option_desc AS [page verify option], CASE WHEN is_read_only = 1 THEN 'read only' ELSE '' END AS [read only], CASE WHEN is_auto_shrink_on = 1 THEN 'autoshrink' ELSE '' END AS [autoshrink], CASE WHEN is_auto_create_stats_on = 1 THEN 'auto create statistics' ELSE '' END AS [auto create statistics], CASE WHEN is_auto_update_stats_on = 1 THEN 'auto update statistics' ELSE '' END AS [auto update statistics], CASE WHEN is_in_standby = 1 THEN 'standby' ELSE '' END AS [standby], CASE WHEN is_cleanly_shutdown = 1 THEN 'cleanly shutdown' ELSE '' END AS [cleanly shutdown] FROM sys.databases DB ORDER BY dbName, [Last backup] DESC, NAME Please let me know if you find this information useful. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

    Read the article

  • SQLAuthority News – Bookmark – Deprecated Database Engine Features in SQL Server 2008

    - by pinaldave
    When anybody asked me if any specific feature is available in SQL Server 2008 or if any feature will be disabled in future versions of SQL Server, I always point everybody to following list where all the deprecated database engine features are listed. Deprecated Database Engine Features in SQL Server 2008 R2 Deprecated Database Engine Features in SQL Server 2008 This list is quite helpful and everybody should refer it once. This list has many important details. For example, it suggests “80 compatibility level and upgrade from version 80.” will not be supported in next version of SQL Server. If you are using SQL Server 2000 still today (by any chance) you will be not able to upgrade that to next version of SQL Server directly. It is very important to note that if you are using any feature of SQL Server in compatibility mode and if you find them in the list above. You need to start working on the replacement suggested in article. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Bookmark, SQL, SQL Authority, SQL Documentation, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

    Read the article

  • Free NOSQL database for use with C# client [closed]

    - by Mitten
    I've never used NOSQL databases before, but so far it seems like the best data storage solution for my project. I am going to implement a datamining application. The data I would like to mine is thousands of documents which cannot be imported into datamining applications. To make to import easier and faster (than importing thousands of documents) I am planning to import these documents into a NOSQL database first and when import NOSQL database into datamining software. At the very least once I have all the data in NOSQL database I should be able to code simplest datamining logic myself. Am I correct that NOSQL databases allow to creates records of data, but they don't mandate all the records to adhere to the same data schema (same column names/types in a classic table oriended SQL databases)? I think for each document I would create a row/entry/object (not sure what is the correct term is in use in NOSQL world) which would be a string id, few (columns) with unstructured text data, and a dozens of columns mostly of datetime and integer types. From its name NOSQL does not support SQL query syntax, but it support locating the object(row/entry?) by its unique id. Does NOSQL support qyuering objects using property=value syntax? Unfortunately most of free NOSQL db only support Java/C++ clients, which free NOSQL db would you recommend for a C# programmer?

    Read the article

  • SQLAuthority News – Mark the Date: October 16, 2013 – Introducing NuoDB Blackbirds: THE Distributed Database

    - by Pinal Dave
    I am very excited to announce first on this blog about the release of NuoDB Blackbirds (NuoDB Release 2.0). NuoDB is my favorite application to work with data now a days. They are increasingly gaining market share as well as brining out new features with their every new release. I was very excited when I learned that NuoDB is releasing their flagship release of 2.0 on October 16, 2013. Interesting enough I will be in USA while this release happens and I will be watching it live during my day time. Even though if I had to stay up the entire night to just watch this release, I would do it. Here is the details of the announcements: Introducing NuoDB Blackbirds: THE Distributed Database Date: October 16, 2013 Time: 1:00 PM EDT Location: Online Registration Link What is the best DBMS architecture to handle today’s and tomorrow’s evolving needs? The days of shared disk are over. The times are “a-changin” and IT infrastructure has to change with them. Join NuoDB live for the introduction of our latest major product release, NuoDB Blackbirds, and take a look at why the NuoDB distributed database architecture is the only answer for customers like Fathom Voice, a leading provider of Voice Over IP (VoIP). NuoDB CEO, Barry Morris, welcomes Cameron Weeks, CEO of Fathom Voice to discuss how his company is using DBMS to break away from the pack and become the hottest player in VoIP. The webcast will include demonstrations of a single, logical database running in multiple geographies and a live Q&A. If due to any reason, you cannot watch it live, do not worry at all, just register at this Registration Link, as after the event you will get the link to watch the event on-demand. You can watch the launch event at any time if you have registered for the launch. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: NuoDB

    Read the article

  • Partner Webcast – Oracle Exadata X3 Database In-Memory Machine - Next-Generation Technologies Update - 20 Dec 2012

    - by Thanos
    Oracle’s next-generation database machine, Oracle Exadata X3, combines massive memory and low-cost disks to deliver even faster performance and greater storage capabilities at the lowest cost, making it the ideal database platform for the varied and unpredictable workloads of cloud computing. Oracle Exadata is available in multiple configurations including a low-cost eighth-rack configuration, so you can start small and grow at your own pace. We have also introduced new migration services designed to streamline implementation thereby saving you time and money. If your IT department is expected to deliver business value—or even drive business growth—then you’ll want to join us for a live Webcast discussing how the new Oracle Exadata X3 can help you transform data management.  Agenda: Oracle Exadata Evolution Oracle Exadata X3 Database In-Memory Machine Hardware Update Software Update Exadata Unique Next Generation Technologies Getting on board Oracle Exadata Q&A Delivery Format This FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24hours prior to start time may not receive confirmation to attend. Thursday, December 20th, 10am CET (9am GMT) Duration: 1 hour Register Now! For any questions please contact us at [email protected] Visit our ISV Migration Center blog Or Follow us @oracleimc to learn more on Oracle Technologies, upcoming partner webcasts and events. Existing content available YouTube - SlideShare - Oracle Mix.

    Read the article

  • Materialized View does not import properly when importing on a second instance of a database

    - by marinus
    When I import a database with materialized view mv_mt in just one database (Oracle) everything is ok. create materialized view mv_mt refresh complete next trunc( sysdate ) + 1 as SELECT sysdate, media_type.* from media_type; But when I try to import the same database to a copy in another schema I get the following errors: IMP-00017: following statement failed with ORACLE error 1: "BEGIN DBMS_JOB.ISUBMIT(JOB=438,WHAT='dbms_refresh.refresh(''"ALEXANDRA"" "."MV_MT"'');',NEXT_DATE=TO_DATE('2012-07-02:14:22:36','YYYY-MM-DD:HH24:MI:" "SS'),INTERVAL='sysdate + 1 / 24 / 60 / 6 ',NO_PARSE=TRUE); END;" IMP-00003: ORACLE error 1 encountered ORA-00001: unique constraint (SYS.I_JOB_JOB) violated ORA-06512: at "SYS.DBMS_JOB", line 100 ORA-06512: at line 1 IMP-00017: following statement failed with ORACLE error 23421: "BEGIN dbms_refresh.make('"ALEXANDRA"."MV_MT"',list=null,next_date=null," "interval=null,implicit_destroy=TRUE,lax=FALSE,job=438,rollback_seg=NUL" "L,push_deferred_rpc=TRUE,refresh_after_errors=FALSE,purge_option = 1,par" "allelism = 0,heap_size = 0); END;" IMP-00003: ORACLE error 23421 encountered ORA-23421: job number 438 is not a job in the job queue ORA-06512: at "SYS.DBMS_SYS_ERROR", line 86 ORA-06512: at "SYS.DBMS_IJOB", line 793 ORA-06512: at "SYS.DBMS_REFRESH", line 86 ORA-06512: at "SYS.DBMS_REFRESH", line 62 ORA-06512: at line 1 IMP-00017: following statement failed with ORACLE error 23410: "BEGIN dbms_refresh.add(name='"ALEXANDRA"."MV_MT"',list='"ALEXANDRA"."MV" "_MT"',siteid=0,export_db='ORCL01'); END;" IMP-00003: ORACLE error 23410 encountered ORA-23410: materialized view "ALEXANDRA"."MV_MT" is already in a refresh group ORA-06512: at "SYS.DBMS_SYS_ERROR", line 95 ORA-06512: at "SYS.DBMS_IREFRESH", line 484 ORA-06512: at "SYS.DBMS_REFRESH", line 140 ORA-06512: at "SYS.DBMS_REFRESH", line 125 ORA-06512: at line 1 Anyone any ideas? Regards, Marinus

    Read the article

  • Database Backup History From MSDB in a pivot table

    - by steveh99999
    I knocked up a nice little query to display backup history for each database in a pivot table format.I wanted to display the most recent full, differential, and transaction log backup for each database. Here's the SQL :-WITH backupCTE AS (SELECT name, recovery_model_desc, d AS 'Last Full Backup', i AS 'Last Differential Backup', l AS 'Last Tlog Backup' FROM ( SELECT db.name, db.recovery_model_desc,type, backup_finish_date FROM master.sys.databases db LEFT OUTER JOIN msdb.dbo.backupset a ON a.database_name = db.name WHERE db.state_desc = 'ONLINE' ) AS Sourcetable   PIVOT (MAX (backup_finish_date) FOR type IN (D,I,L) ) AS MostRecentBackup ) SELECT * FROM backupCTE Gives output such as this :-  With this query, I can then build up some straightforward queries to ensure backups are scheduled and running as expected -For example, the following logic can be used ;-  - WHERE [Last Full Backup] IS NULL) - ie database has never been backed up.. - WHERE [Last Tlog Backup] < DATEDIFF(mm,GETDATE(),-60) AND recovery_model_desc <> 'SIMPLE') - transction log not backed up in last 60 minutes. - WHERE [Last Full Backup] < DATEDIFF(dd,GETDATE(),-1) AND [Last Differential Backup] < [Last Full Backup]) -- no backup in last day.- WHERE [Last Differential Backup] < DATEDIFF(dd,GETDATE(),-1) AND [Last Full Backup] < DATEDIFF(dd,GETDATE(),-8) ) -- no differential backup in last day when last full backup is over 8 days old.   

    Read the article

  • Customers Deploying Sun Oracle Database Machine

    - by kimberly.billings
    Philippine Savings Bank (PS Bank) recently deployed the Sun Oracle Database Machine to underpin its enterprise-wide analytics platform. Now, the response times for queries and requests that used to take from three hours to several days is completed in less than one minute with near real-time updates. Read the press release. EFU General Insurance also announced this week that they have deployed the Sun Oracle Database Machine. With Oracle, EFU will be able to open more sales channels via the Web and facilitate integration with other companies. As a result, more quality services can be offered to its customers via the Web because of the more agile and reliable IT infrastructure. In addition, a centralized IT environment will offer the EFU management a real time view of key information, enabling EFU to analyze business trends and make timely decisions. Read the press release. Let us know about your Sun Oracle Database deployment! var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-13185312-1"); pageTracker._trackPageview(); } catch(err) {}

    Read the article

< Previous Page | 94 95 96 97 98 99 100 101 102 103 104 105  | Next Page >