Why SQL Server DBAs need to be aware about Big Data

As the flow of information across the world increases

by leaps and bounds, the amount of data entering the repositories of enterprises is growing at an astronomical rates. The volume of data is reaching into terabytes and analyzing the data is the domain of big data analytics. Now if you happen to be a DBA, it is quite critical for you to know how Big Data is going to come into play. To start with, you can rest assured that Big Data systems are unlikely to replace your trusted RDBMS i.e. SQL Server, however you need to know how these systems can liaise in an effectual manner. 

Characteristics of Big Data

At the very outset you need to be aware of the key characteristics of Big Data. It is all about volumes and it can go to nearly any extent. When you are looking to analyze Big Data, you are looking at extremely large amount of data that also shows great speed. In many big data applications, the data received is time sensitive and needs to be accessed on fly. Besides volume and speed, Big Data is marked by its extensive variety. It can encompass tweets to user generated pictures and videos to machine based sensor information. 

SQL Server allows you to join up with non relational Big Data

In its latest iterations, 2012 and beyond, SQL Server allows you to link non relational data with the help of its Parallel Data Warehouse (PDW). This essentially allows you to negotiate non relational data in an effective manner and include the same in your data warehousing activities. The kind of data it can handle range from humungous amounts of real time social content to sensor information or ubiquitous web records(logs). It can even deal with exceptionally complex technologies like Hadoop and can lay the grounds of interface between the relational data and a typical Hadoop cluster. 

The SQL Server PDW advantage

With the SQL Server PDW solution you can look to achieve exceptional performance improvements, which can reach a factor of hundred when compared to legacy querying systems. Further you can find significant improvements in the data compression rates and experience superior data loading rates. Due to its optimal scalability and performance parameters, it can help you save on hardware costs and give you the option to expand, if needed, in a modular manner. Most importantly during the whole implementation process you can always receive consultation advice from the software behemoth Microsoft.

Avoid Data Loss with a Proficient sql recovery tool

If you are looking to ensure all your data repositories are properly factored in whenever you mine for insights, you need to put in place measures that avoid accidental data loss. SQL Server files have a tendency to get corrupted and thus a powerful recovery tool like DataNumen SQL Recovery should be kept handy. This intelligent application can help you extract your valued data from extremely large SQL files that may have got compromised, irrespective of their storage media.

Author Introduction:

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 http://www.datanumen.com/