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Poweredge R740xd Microsoft SQL 2017 RHEL Business Analytics V2 0101010001101000011001010010000001101111011 0001101110100011011110111000001110101011100 1100100000011010010111001100100000011000010 0100000011100110110111101100110011101000010 1101011000100110111101100100011010010110010 1011001000010110000100000011001010110100101 10011101101000011101000010110101100001011100101010001101000011001010010000001101111011 01001101101011001010110010000100000011011010001101110100011011110111000001110101011100 01101111011011000110110001110101011100110111100100000011010010111001100100000011000010 00011001000000110111101100110001000000111010100000011100110110111101100110011101000010 00011010000110010100100000011011110111001001101011000100110111101100100011010010110010 11001000110010101110010001000000100111101101011001000010110000100000011001010110100101 00110111010001101111011100000110111101100101001110110100001110100001011010110000101110 00110000100101110001000000100000101110010010100110110101100101011001000010000001101101 10111101110101011011100110010000100000001100110111101101100011011000111010101110011011 01100110000001100000010000001110011011100000001100100000011011110110011000100000011101 01100101011000110110100101100101011100110010001101000011001010010000001101111011100100 00000011000010111001001100101001000000111001100100011001010111001000100000010011110110 10011001010110001101101111011001110110111000011011101000110111101110000011011110110010 11010010111001101100101011001000010000001100011000010010111000100000010000010111001001 00010110111001100100001000000111010001101001011110111010101101110011001000010000000110 00110010100100000011011110111001001100100010110011000000110000001000000111001101110000 10010101110010001000000110100101110011001000110010101100011011010010110010101110011001 0000110011101110010011011110111010101110000A Principled Technologies report: Hands-on testing.0000001100001011100100110010100100000011100 Real-world results. 01010100011010000110010100100000011011110111001100101011000110110111101100111011011100 00011011101000110111101110000011101010111001101001011100110110010101100100001000000110 11001000000110100101110011001000000110000100001011011100110010000100000011101000110100 01000000111001101101111011001100111010000100011001010010000001101111011100100110010001 11010110001001101111011001000110100101100101001010111001000100000011010010111001100100 101100100001011000010000001100101011010010100001100111011100100110111101110101011100000101010001101000011001010010000001101111011 10011101101000011101000010110101100001011100001101110100011011110111000001110101011100 01001101101011001010110010000100000011011011100100000011010010111001100100000011000010 01101111011011000110110001110101011100110110100000011100110110111101100110011101000010 00011001000000110111101100110001000000111011101011000100110111101100100011010010110010 00011010000110010100100000011011110111001001011001000010110000100000011001010110100101 11001000110010101110010001000000100111101101001110110100001110100001011010110000101110 00110111010001101111011100000110111101100100100110110101100101011001000010000001101101 00110000100101110001000000100000101110010010110111101101100011011000111010101110011011 10111101110101011011100110010000100000001100001100100000011011110110011000100000011101 01100110000001100000010000001110011011100000001101000011001010010000001101111011100100 0110010101100011011010010110010101110011001Answer 1100100011001010111001000100000010011110110 00000011000010111001001100101001000000111000011011101000110111101110000011011110110010 1001100101011000110110111101100111011011100database 0011000010010111000100000010000010111001001 1101001011100110110010101100100001000000110queries in 1011110111010101101110011001000010000000110 00010110111001100100001000000111010001101000110011000000110000001000000111001101110000 00110010100100000011011110111001001100100010110010101100011011010010110010101110011001 100101011100100010000001101001011100110010092% Analyze0000001100001011100100110010100100000011100 data faster by upgrading to a 0000110011101110010011011110111010101110000less time* 1001100101011000110110111101100111011011100 Dell EMC1101001011100110110010101100100001000000110 PowerEdge R740xd running 0001011011100110010000100000011101000110100 0011001010010000001101111011100100110010001 Cut query Microsoft1001010111001000100000011010010111001100100 SQL Server 2017 Standard on times from 3 0000110011101110010011011110111010101110000* hours to just Red Hat Enterprise Linux 7.5 Data analytics aren’t just for big enterprises—small and medium-sized 13 businesses accumulate lots of data from CRMs, spreadsheets, and various minutes† customer or sales databases. That data is worthless if businesses can’t make sense of it though, so they need a powerful solution that can analyze information and help them use it to serve customers better. In the Principled Technologies datacenter, we compared how fast a new 14th generation Dell EMC™ PowerEdge™ R740xd running Microsoft® SQL Server® 2017 Standard on Red Hat® Enterprise Linux® 7.5 could analyze data versus an older 12th generation Dell EMC PowerEdge R720xd running Windows Server® 2012 R2 with SQL Server 2008 R2. Compared to the legacy solution, a new Dell EMC + Microsoft + Red Hat solution reduced the amount of time it took to analyze data from nearly three hours to just 13 minutes. Plus, the updated Dell EMC + Microsoft + Red Hat solution used fewer resources, leaving room to handle other tasks as business grows. This means that if you upgrade to the new solution, you—and your customers—could get the answers you need faster than ever, which can help make your business more profitable. * when running a business analytics workload, compared to a legacy solution consisting of a 12th generation Dell EMC PowerEdge R720xd running Microsoft SQL Server 2008 R2 on Microsoft Windows Server 2012 R2 † in our example test 0101010001101000011001010010000001101111011 0001101110100011011110111000001110101011100 1100100000011010010111001100100000011000010Analyze data faster by upgrading to a Dell EMC PowerEdge R740xd running Microsoft SQL Server 2017 Standard October 2018 (Revised) on Red Hat Enterprise Linux 7.5 0100000011100110110111101100110011101000010 1101011000100110111101100100011010010110010 1011001000010110000100000011001010110100101 1001110110100001110100001011010110000101110 0100110110101100101011001000010000001101101 0110111101101100011011000111010101110011011 0001100100000011011110110011000100000011101 0001101000011001010010000001101111011100100 1100100011001010111001000100000010011110110 0011011101000110111101110000011011110110010 0011000010010111000100000010000010111001001 1011110111010101101110011001000010000000110 0110011000000110000001000000111001101110000 0110010101100011011010010110010101110011001 0000001100001011100100110010100100000011100 1001100101011000110110111101100111011011100 1101001011100110110010101100100001000000110 0001011011100110010000100000011101000110100 0011001010010000001101111011100100110010001 1001010111001000100000011010010111001100100 0000110011101110010011011110111010101110000 New feature alert: Meet data challenges with fast query times Microsoft SQL Server 2017 now supports Red Hat The hardware and software solution you employ to collect and sort Enterprise Linux your data can have a big impact on your business’s bottom line, depending on what you do with your data. If you’re looking to Long-time Linux users now have make correlations and discover hidden insights in your data to help more options when it comes to plan your next course of action, a speedy and powerful solution choosing a database platform. can help you do so more quickly. Or perhaps you have an online While previous Microsoft SQL 0101010001101000011001010010000001101111011 retail business, where analyzing past-purchase data can offer your Server0101010001101000011001010010000001101111011 releases required a 0001101110100011011110111000001110101011100 customers suggestions to help them find something they’d like to Windows0001101110100011011110111000001110101011100 Server operating system,1100100000011010010111001100100000011000010 11001000000110100101110011001000000110000100100000011100110110111101100110011101000010 buy, which leads directly to increased sales. SQL Server 2017 is now supported 01000000111001101101111011001100111010000101101011000100110111101100100011010010110010 by Red1101011000100110111101100100011010010110010 Hat Enterprise Linux 7.5.1011001000010110000100000011001010110100101 Technology improvements happen quickly. In fact, a 2016 IDC This compatibility1011001000010110000100000011001010110100101 gives you one1001110110100001110100001011010110000101110 study found that by failing to upgrade in a timely manner, “IT 10011101101000011101000010110101100001011100100110110101100101011001000010000001101101 more way to run your datacenter0110111101101100011011000111010101110011011 organizations can lose up to 39 percent of peak performance and 0100110110101100101011001000010000001101101 exactly0110111101101100011011000111010101110011011 how you want. 0001100100000011011110110011000100000011101 add up to 40 percent in application management costs and up to 00011001000000110111101100110001000000111010001101000011001010010000001101111011100100 148 percent in server administration costs."1 00011010000110010100100000011011110111001001100100011001010111001000100000010011110110 11001000110010101110010001000000100111101100011011101000110111101110000011011110110010 What does all this mean? That if you’re looking to analyze data 00110111010001101111011100000110111101100100011000010010111000100000010000010111001001
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