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- Processors - Servers
- Processors - Mobile
- CPU Fans & Heatsinks
- Thermal Compound / Grease
- Water / Liquid Cooling
- DIY Cooling
- Desktop Memory
- Laptop Memory
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- System Specific Memory
- Memory Cards
- USB Flash Drives
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- Server Motherboards
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Lenovo 01DC307, Microsoft SQL Server 2017 - License - 5 user CALs - ROK - Linux, Win - EMEA
01DC307
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$16,610.00
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In Stock
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- •Brand: Lenovo
- •Model: 99X364538
The Lenovo MS-SQL-2017 software is designed for efficient data management, offering amazing compression in data size and operator pushdown capabilities. Ideal for IT professionals and businesses looking to streamline their data operations.
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Highlights
- Amazing compression in data size
- Operator pushdown
- Batch mode processing
Marketing description
Microsoft SQL Server 2017 has made significant improvements in data warehousing technologies and performance, including column-store features as well as many other improvements. Column-store indices offer great advantages over traditional row stores for analytics and data warehousing queries. They are ideally suited for the star schemas, and tables with billions of rows which are commonly seen.
Product Features
- Amazing compression in data size
Data warehouses are very large by nature, and the compression offered by column store index technologies offers both space and cost savings, but also significantly increased performance, due to the dramatically reduced IO requirements given by the compression, coupled by the ability to only scan the specific columns required by each query. Compression also reduces the amount of memory required to hold a given number of rows from the source data warehouse. - Operator pushdown
Pushdown refers to moving both filter and aggregation query operations closer to the data, so that many of the filters and calculations can be done in the scan operators, dramatically reducing the volume of data which needs to be handled further on in query processing. - Batch mode processing
Microsoft SQL Server 2017 offers enhancements in batch mode processing which processes many rows at a time rather than serially doing calculations on each individual row. These batch operations are further optimized by leveraging Single Instruction Multiple Data (SIMD) vector processing CPU instructions in the Intel architectures. 
Highlights
- Amazing compression in data size
- Operator pushdown
- Batch mode processing
Marketing description
Microsoft SQL Server 2017 has made significant improvements in data warehousing technologies and performance, including column-store features as well as many other improvements. Column-store indices offer great advantages over traditional row stores for analytics and data warehousing queries. They are ideally suited for the star schemas, and tables with billions of rows which are commonly seen.
Product Features
- Amazing compression in data size
Data warehouses are very large by nature, and the compression offered by column store index technologies offers both space and cost savings, but also significantly increased performance, due to the dramatically reduced IO requirements given by the compression, coupled by the ability to only scan the specific columns required by each query. Compression also reduces the amount of memory required to hold a given number of rows from the source data warehouse. - Operator pushdown
Pushdown refers to moving both filter and aggregation query operations closer to the data, so that many of the filters and calculations can be done in the scan operators, dramatically reducing the volume of data which needs to be handled further on in query processing. - Batch mode processing
Microsoft SQL Server 2017 offers enhancements in batch mode processing which processes many rows at a time rather than serially doing calculations on each individual row. These batch operations are further optimized by leveraging Single Instruction Multiple Data (SIMD) vector processing CPU instructions in the Intel architectures. 
Highlights
- Amazing compression in data size
- Operator pushdown
- Batch mode processing
Marketing description
Microsoft SQL Server 2017 has made significant improvements in data warehousing technologies and performance, including column-store features as well as many other improvements. Column-store indices offer great advantages over traditional row stores for analytics and data warehousing queries. They are ideally suited for the star schemas, and tables with billions of rows which are commonly seen.
Product Features
- Amazing compression in data size
Data warehouses are very large by nature, and the compression offered by column store index technologies offers both space and cost savings, but also significantly increased performance, due to the dramatically reduced IO requirements given by the compression, coupled by the ability to only scan the specific columns required by each query. Compression also reduces the amount of memory required to hold a given number of rows from the source data warehouse. - Operator pushdown
Pushdown refers to moving both filter and aggregation query operations closer to the data, so that many of the filters and calculations can be done in the scan operators, dramatically reducing the volume of data which needs to be handled further on in query processing. - Batch mode processing
Microsoft SQL Server 2017 offers enhancements in batch mode processing which processes many rows at a time rather than serially doing calculations on each individual row. These batch operations are further optimized by leveraging Single Instruction Multiple Data (SIMD) vector processing CPU instructions in the Intel architectures. 
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