A Parallel Data Warehouse or PDW offers measurable scale-out possibilities in an appliance-based architecture. You can handle great workloads by using "MMP" or Massive Parallel Processing architecture with great scalability and predictability in terms of performance. It works like a dream for handling massive projects and scale-out scenarios when hundreds of terabytes are required.
In simple terms, a Parallel Data Warehouse must control a number of different physical servers, each on its own individual SQL servers. Even though the database itself and its many tables are spread out across the whole physical server, it will look like it has only one database and table to the end user. The entire enterprise displays only a single view.
As the Meta data gets stored and processed on one part of the PDW, the PDW "brain" works on query execution. A multi-purpose hardware and software solution, the product is innovative in the truest sense of the word. In addition, it will make for easier deployment, operations and management compared to traditional data warehouse offerings.
It is easy to see numerous advantages to parallel data warehousing. Parallel data warehousing has brought to light the reality of large-scale processing in an economically favorable package. At a far lower cost per terabyte, it is ten times as scalable and is 100 times faster than previous SQL server deployments.
Costs can still get up to a million dollars, so it isn't as if just anyone can get one. The package comes with lots of hardware, licensing and processing power. The packages almost always come with storage, network, and even your own domain controller.
Many businesses process huge volumes of data already, something that is unlikely to change in the future. With the growth of businesses processes, organizations will need to cope with the demand of such large volumes of data. If businesses use hardware they already have rather than buy new software, they may be able to address the problem economically.
In fact, Microsoft released a new version of their SQL Server called the Parallel Data Warehouse Edition. Entering into the arena of data warehousing and Massive Parallel Processing, Microsoft has made headlines. Existing and commodity hardware can be used to use Microsoft's product, which along with a lower cost per terabyte, makes it very exciting.
Previously, Microsoft provided an SQL server in Symmetric Multi-Processing architecture, or "SMP." In this case, all CPUS storage and memory can be in one physical architecture. Database operations other than these are located on the SQL server.
The only two kinds of hardware with which the Microsoft SQL Server Parallel Data Warehouse works, as of today, is the HP Enterprise Data Warehouse Appliance and DELL. Please know that the SQL server cannot be purchased on its own. This software does not work unless it is purchased with the previously mentioned hardware.
Parallel data warehouse training is being provided by several scalability experts so businesses can reap the rewards of owning this product. It was a great idea for Microsoft to hire experts in scalability to teach businesses how to use their new product and how it affects data management and processing. The benefits of a faster and more scalable product bring an improved method for storage and access of data even for the most highly complex requirements.
In simple terms, a Parallel Data Warehouse must control a number of different physical servers, each on its own individual SQL servers. Even though the database itself and its many tables are spread out across the whole physical server, it will look like it has only one database and table to the end user. The entire enterprise displays only a single view.
As the Meta data gets stored and processed on one part of the PDW, the PDW "brain" works on query execution. A multi-purpose hardware and software solution, the product is innovative in the truest sense of the word. In addition, it will make for easier deployment, operations and management compared to traditional data warehouse offerings.
It is easy to see numerous advantages to parallel data warehousing. Parallel data warehousing has brought to light the reality of large-scale processing in an economically favorable package. At a far lower cost per terabyte, it is ten times as scalable and is 100 times faster than previous SQL server deployments.
Costs can still get up to a million dollars, so it isn't as if just anyone can get one. The package comes with lots of hardware, licensing and processing power. The packages almost always come with storage, network, and even your own domain controller.
Many businesses process huge volumes of data already, something that is unlikely to change in the future. With the growth of businesses processes, organizations will need to cope with the demand of such large volumes of data. If businesses use hardware they already have rather than buy new software, they may be able to address the problem economically.
In fact, Microsoft released a new version of their SQL Server called the Parallel Data Warehouse Edition. Entering into the arena of data warehousing and Massive Parallel Processing, Microsoft has made headlines. Existing and commodity hardware can be used to use Microsoft's product, which along with a lower cost per terabyte, makes it very exciting.
Previously, Microsoft provided an SQL server in Symmetric Multi-Processing architecture, or "SMP." In this case, all CPUS storage and memory can be in one physical architecture. Database operations other than these are located on the SQL server.
The only two kinds of hardware with which the Microsoft SQL Server Parallel Data Warehouse works, as of today, is the HP Enterprise Data Warehouse Appliance and DELL. Please know that the SQL server cannot be purchased on its own. This software does not work unless it is purchased with the previously mentioned hardware.
Parallel data warehouse training is being provided by several scalability experts so businesses can reap the rewards of owning this product. It was a great idea for Microsoft to hire experts in scalability to teach businesses how to use their new product and how it affects data management and processing. The benefits of a faster and more scalable product bring an improved method for storage and access of data even for the most highly complex requirements.
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Since businesses processes are growing and expanding, organizations will need to cope with the demand of such large volumes of data.
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