SQL Server Database Recovery Archive

This article addresses the new upgrade system in SQL Server and how its improved features can help enhance business intelligence in your organization.

Leaders of a big organization know and understand that they have to do much more than just managing a high volume of business flow in the organization. To reap the essential rewards of business, they also have to identify new opportunities and gain a competitive edge, which can only be unlocked using the hidden insights of their databases. Users can operate, share, create, optimize and store at the same time at a faster speed using SQL Server.

SQL Server offers a wide range variety of BI capabilities, which allows supporting this quest. These new tools can help users to perform and support enhanced analysis. These tools eliminate the need of IT data specialties with their easy use and operation.

Organizations can also use BI for report authorizing, data visualization and data exploration. The new SMBs, also allows users to perform ad-hoc related queries without any external help, without relying on any IT specialists.Build Up The Business Intelligence With SQL Server

Here are few things that can boost BI in your organization using SQL Server

1. Fueling Faster Results

Wouldn’t it be amazing if you were able to boost SQL Server’s memory processing? Well now with its newer version, users can store data in high-speed, which will enable the companies to explore data and create queries at a faster speed. 2017 SQL Server further offers an enhanced analytical speed by allowing efficient data compression. So, users can load an infinite number of rows in a memory and then run query on them quickly. This BI improvement simplifies moving data to a data warehouse from a line-of-business system.

2. The Azure Lure

SQL Server 20172017 SQL Server works efficiently with Microsoft Azure, which is a cloud-based data storage resource. Azure allows companies to extend their capacity of on-premises databases. For instance, by using this user can ensure to keep their frequently used data on-premises for analysis for SQL instances, and send old data in the cloud to efficiently use the demand of company’s internal resources. While any user will operate the Server, he/she will be able to access the query in the database, where it’s going to look like information is being accessed through the table, even if it is using the data from the cloud.

3. SQL is the Future Platform

More than 80% of big organizations today rely on SQL Server to properly optimize their databases. And this already dominant number is increasing every day, as new advanced features are being introduced in the management system. SQL Server 2017 offers a solid foundation for an organization that seeks to operate through advanced BI tools in their operation.  Not only does SQL allow users to use and create a new database, it offers easy accessibility using which the user can revisit and revise his databases anywhere anytime.

If you are planning on building up a business intelligence environment in your organization, then you cannot go wrong with Microsoft SQL Server, Especially the way it is getting advanced and introducing new innovative improvements in its every version. SQL Server 2017 is by far the most advanced BI optimized software which will make managing your organization for you a Childs play.

Despite significant advances over the year, companies using SQL Server should still consider investing specialized tools to recover Sql Server files that may get corrupted at any point of time.

Author Introduction:

Victor Simon is a data recovery expert in DataNumen, Inc., which is the world leader in data recovery technologies, including Access fix and sql recovery software products. For more information visit https://www.datanumen.com/

DataNumen announces a fresh release of its acclaimed highly efficient recovery tool for Microsoft SQL Server. The update features support for SQL Server 2017 and a number of enhancements and bug fixes that bring recovery rate of the tool to weighty 92.6% outperforming all competing solutions.

Data loss in the corporate sector is extremely dangerous since without a way to recover information it quickly transits to the loss of money. That is why highly reliable and efficient tools to recover data from corrupted databases are so demanded.

DataNumen SQL Recovery is a tool that sorts out all major problems with MDF and NDF databases caused by corrupted files, interrupted read/write process or power shortages: allocation errors, consistency errors, various issues with erroneous headers and checksums, truncated files, and mistakenly deleted tables or records. The program automatically analyzes input files for every inconsistency and fixes the structure and data so that the file becomes openable and readable again.

Importantly, DataNumen SQL Recovery delivers the recovery rate of higher than 92%, which makes it the most efficient Microsoft SQL Server recovery tool on the market by far. Provided Microsoft does not offer any serious means to fix most of SQL server database damages, DataNumen’s solution is a real day saver for any business owner or system administrator.

For extra convenience the program offers batch processing of SQL server files, and even can restore MDF/NDF content from third-party formats like Norton Ghost files (*.gho), VMware files (*.vmdk), Acronis True Image files (*.tib), ISO image files (*.iso) and others.

The latest version 2.8 introduces support for Microsoft SQL Server 2017. Older database formats including SQL Server 2005, 2008, 2008 R2, 2012, 2014 and 2016 MDF are also supported.

Pricing and availability

DataNumen SQL Recovery is available for Windows 95/98/ME/NT/2000/XP/Visa/7/8/8.1/10 and Windows Server 2003/2008/2012/2016, 32-bit and 64-bit. Prices start from $499.95 per license with volume discounts provided for both, personal and corporate use.

Links

Company website: https://www.datanumen.com/
Product page: https://www.datanumen.com/sql-recovery/
Download: https://www.datanumen.com/sql-recovery/download.htm

About the company

Founded back in 2001, DataNumen is one of the major players on the data recovery market today. Thousands of customers all over the world including such well-known companies as IBM, AT&T, Microsoft, Dell, Intel, J.P. Morgan Chase and Ford entrust recovery of their information to specialized solutions developed by DataNumen. The company offers software to recover lost and damaged data from databases, documents, compressed files, e-mail messages and file systems.

4 Key Elements of Data Quality Services in SQL Server

Posted March 20, 2018 By AuthorVS1

The article sheds light on some key elements of SQL Server’s Data Quality Services.

Data Quality Services, introduced in SQL Server 2012, are an exciting feature of SQL which helps users in improvement and maintenance of the data quality in your enterprise. Data Quality Services solved many problems that users faced in previous versions, like inconsistency, inaccuracy, duplicity and invalidity, etc. which further lead to wrong analytics results, data mining and reporting related problems. So, DQS provided data quality solutions of these issues to IT professionals to ensure that Data quality isn’t compromised.

This article explains the key elements of Data Quality Services and how useful they are while working with SQL Servers.Learn About The Key Elements Of Data Quality Services

1. Challenges and Causes

Prior to its release there were many challenges that users faced such as Duplicity of data, Non Conformity, Inaccuracy and Invalidity in data values and inconsistent data.

These issues caused several problems as they led to incorrect results and analytics which nearly kill the purpose of having a database. There are also chances of data manipulation if they are consolidated from different sources which have distinct representative formats. So there are chances that the data can get corrupted during storage or transmission. To overcome these challenges, Data Quality Services were introduced.

2. Data Quality Services (DQS)

Data Quality Services In SQL ServerDQS helps IT professionals in maintaining the integrity and quality of data by applying interactive or automated/batch mode approaches. DQS has some of the most exciting features which include Semantics, Knowledge Discovery, Open and Extensible and handy use. In DQS, users can create a reusable DQKB which is Data Quality Knowledge Base that improves the integrity of data. There you can create and capture semantics to map data into data domains. It has made SQL Server very user friendly and focuses on enhancing productivity.

3. Functions/Operations

DQS basically provides its users a knowledge base about the data which can be used to improve the quality of database and its efficiency.

DQS has also extended its support to Windows Azure Marketplace to use Reference Data Services. DQS helps in monitoring the state of data activities and its quality which gives users an upper hand on its progress and control. The analytical work has been made easier through DQS as it performs analytics to provide insights about the Data Quality and helps in sorting issues with quality at various stages and processes.

4.  Cleansing and Matching

Using SSIS Component, DQS client tool can perform cleansing in an interactive manner. Users can update, amend, enrich or remove data that is wrong or incomplete seamlessly. It includes standardization and Correction too. The cleansing component classifies the data in Correct, Incorrect, New, Auto Suggested, etc. categories.

Other than Cleansing, DQS suite also includes Matching which helps in removing duplicates from the data sources. It identifies and links and merges related entries across the sets of data. It can be performed either inter source (matching source against look-up table) or intra source (matching the source against its own) depending on the requirement. It is usually done in four steps which are Matching Policy Training, Matching, Auto Approving and Survivor-ship.

While data quality is important, companies also need to ensure the safety of the data stored in their SQL databases. Thus it is imperative that they invest in a damaged mdf recovery tool to negotiate any issues of data corruption.

Author Introduction:

Victor Simon is a data recovery expert in DataNumen, Inc., which is the world leader in data recovery technologies, including Access recovery and sql recovery software products. For more information visit https://www.datanumen.com/