In today’s world dominated by user generated content and frequent data transactions, there is a need to store and understand an extensive volume of data. Now this data is getting created at every given moment, say when a purchase is made at a departmental store or when you make post on a social networking website. Big data is often used as an umbrella term to refer to large data sets, irrespective of their structure. The 2014 iteration of SQL Server seems to lay a great emphasis in making the application in line for Big Data usages. Let’s explore the topic in detail.
What’s New in Terms of flexibility towards Big Data in 2014
To start with the 2014 version of SQL Server is capable of supporting huge databases and repositories that can turn out to be a warehouse for your company’s data. Not only can such databases be built in a robust fashion, the management of the same can be done too without much ado. Now when we give a look at the technical parameters, you can quickly understand that large number logical cores can be used at a given time. It also offers support for Hadoop without much reservation. One of the key advantages of this iteration is the linkage that is now possible between traditional data structures and non relational data.
Technology advancements rolled out in the 2014 iteration can go a long way in running large databases with efficiency. Features like in memory OLTP provides us with performance levels needed to run complex analytical and BI workloads. Given the fact that queries are handled significantly faster in this version, it makes sense to create data warehousing solutions based on the SQL Server application. The application also facilitates parallel processing which is a must for running a big data related task. Again with Business Intelligence features that the MS SQL Server offers it becomes very easy to gain insights from a huge data repository. Another key aspect where the SQL Server scores high is on security. When you are looking to build and maintain a huge database, compliance norms would force you to maintain the data under adequate security cover which is possible through TDE encryption in SQL Server.
Recover Files Compromised due to a logical consistency error
At time while using the MS SQL Server application you may come across an error message that mentions a logical consistency issue. For example the SQL application may encounter a torn page and simply crash. Now if you are looking recover such a database in quick time you need to take recourse to a potent sql recovery tool like the cutting edge DataNumen SQL Recovery application. Powered by a class leading recovery algorithm that gives consistent results in most cases, the application is also useful in the recovery of deleted data. It incidentally is also equipped to handle NDF files and recover sparse columns without any apparent difficulty.
Alan Chen is President & Chairman of 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/