DCN August 2016 - Page 33

data analysis environment without spreading the problem out across a team of servers. In-database analytics yield a host of benefits over traditional analytics including: Faster analytics, on a scale of 10100x faster than traditional analytics Better analytic models as data scientists can now use full datasets versus sampling No data duplication errors caused by moving data between servers Stricter security policy enforcement, particularly for industries that regulate the movement of sensitive business data Near real time insights, as opposed to analytic insights that may be days or weeks old Capex reduction by eliminating the need for additional hardware servers to process the analytics Pervasive analytics that can flow freely to reporting tools and applications throughout the enterprise Β  It’s ‘…Ρ„Ν₯•Ή”°)Ή½ΠΙ½­•ΠΝ₯•Ή”)́‘…Ρ„‘…́Ι½έΈ°ΝΌ‘…́ё”Ι½±”)½˜Ρ‘”ƒŠa‘…Ρ„Ν₯•ΉΡ₯ΝӊdΡΌΡ‘…Ё½˜…Έ)Ρ±…́½˜…Ή…±εΡ₯ΜΈQ‘”‘…Ρ„Ν₯•ΉΡ₯ΝΠ°)…½Ι‘₯ΉœΡΌ±••Ή°₯́₯ΉΡ₯΅…Ρ”έ₯Ρ )΅…‘₯Ή”±•…ΙΉ₯Ήœ…ΉΝΡ…Ρ₯ΝΡ₯Μ°)…ΈΑΙ½Ι…΄₯Έ±½ά΅±•Ω•°±…ΉΥ…•Μ(‘½™Ρ•Έέ₯Ρ ½Ή”‘…Ή€°₯́„‘…Ρ„)‘½΅…₯Έ•αΑ•ΙЁ…Ή₯́…Έ…ΙΡ₯ΝЁݑ•Ι”)‘…Ρ„Ω₯ΝΥ…±₯Ν…Ρ₯½Έ₯́½Ή•ΙΉ•Έ)!”½ΘΝ‘”…ΈΡ•…Ν”₯ΉΝ₯‘Ρ́™Ι½΄)½Ρ‘•Ιέ₯Ν”ΥΉΙ•½Ή₯Ν…‰±”Α…ΡΡ•ΙΉΜ)…Ή°₯ΈΝ½΅”…͕́±₯Ρ•Ι…±±δ°…Έ)ΑΙ•‘₯ΠΡ‘”™ΥΡΥΙ”Έ9½ΠΝΥΙΑΙ₯Ν₯Ή±δ°)Ρ‘₯́΅εΡ‘₯…°ΥΉ₯½ΙΈ½΅•Μέ₯Ρ „)½΅΅•ΉΝΥΙ…Ρ”ΑΙ₯”Ρ…œΈ)Q‘”ΑΙ½‰±•΄έ₯Ρ Ρ‘₯́΅½‘•°°)‰•ε½Ή½ΝЁ…ΉΝ…ɍ₯Ρ䰁₯́„()Ρ•Ή‘•ΉδΡΌ₯Ν½±…Ρ”₯ΉΉ½Ω…Ρ₯½ΈΈ)%Έ΅‘…Ρ…‰…Ν”…Ή…±εΡ₯ΜΝ½±Ω•ΜΡ‘₯Μ)ΑΙ½‰±•΄‰δΙ•‘Ս₯ΉœΡ‘”½΅Α±•α₯Ρδ)½˜…Ή…±εΡ₯ΜΝΌΡ‘…Ёѕ…΅Μ½˜ƒŠaΙ•Υ±…ΛŠd)‘…Ρ„…Ή…±εΝΡ́…Έ…•Ν́…Ή…Ή…±εΝ”)‘…Ρ„ΥΝ₯Ήœ™…΅₯±₯…ȁME0ΕΥ•Ι₯•ΜΈ)Q‘₯́•ΝΝ•ΉΡ₯…±±δ‘•΅½Ι…Ρ₯͕́‘…Ρ„)±•‘₯͍½Ω•Ι₯•Μ₯ΈΡ‘”•ΉΡ•ΙΑΙ₯Ν”)…Ή°ΡΌΡ‘”Ι•±₯•˜½˜!H‘•Α…ΙΡ΅•ΉΡΜ)•Ω•Ιεέ‘•Ι”°•±₯΅₯Ή…ѕ́ё”Ή••ΡΌ)Ν±…Ρ‘•ΘΡ‘•΅Ν•±Ω•Μ₯ΈΥΉ₯½ΙΈΑ•Ι™Υ΅”)©ΥΝЁѼ…ΡΡΙ…ΠΡ‘”Ι₯‘Ёх±•ΉΠΈ+ €()Q‘…ΣŠéΉ₯”°‰ΥЁݑΌ…Ι•Μό)%Έ΅‘…Ρ…‰…Ν”…Ή…±εΡ₯Μ₯Ν»ŠeЁ₯‘•…°™½Θ)•Ω•Ιε½Ή”Έ½Θ•α…΅Α±”°Ν½΅”½˜Ρ‘”)Ή•έ•Θ‰ΥΝ₯Ή•Ν́…͕́™½Θ ₯œ…Ρ„)Ρ‘…ЁɕΕΥ₯Ι”…Ή…±εΝ₯́½˜±…ɝ”Ν•Ρ́½˜)ΥΉΝΡΙՍΡΥΙ•‘…Ρ„…Ι”‰•Ρѕȁ͕ΙΩ•)‰δΡ½½±Μ‘•Ν₯Ή•ΝΑ•₯™₯…±±δ™½Θ)Ρ‘½Ν”Ν•Ή…Ι₯½ΜΈ ΥЁ…Ήδ‰ΥΝ₯Ή•ΝΜ)έ‘•Ι”±…ɝ”…΅½ΥΉΡ́½˜ΝΡΙՍΡΥΙ•)‘…Ρ„Ή••ΡΌ‰”…Ή…±εΝ•ΕΥ₯­±δ…Έ)‰•Ή•™₯Ё™Ι½΄₯Έ΅‘…Ρ…‰…Ν”…Ή…±εΡ₯ΜΈ)½½…Ή‘₯‘…ѕ́™½Θ₯Έ΅‘…Ρ…‰…Ν”)…Ή…±εΡ₯Μ₯Ή±Υ‘”θ(!•…±Ρ‘…Ι”½Ι…Ή₯Ν…Ρ₯½ΉΜΡ‘…ЁΉ••)ΡΌ…Ή…±εΝ”±…ɝ”…΅½ΥΉΡ́½˜Α…Ρ₯•ΉΠ)‘…Ρ„Ν•ΥΙ•±δ(₯Ή…Ή₯…°Ν•ΙΩ₯•Μ½΅Α…Ή₯•Μ)Ρ‘…Ё…Έ‰•Ή•™₯Ё™Ι½΄Ι•…°Ρ₯΅”)‘•₯Ν₯½Έ΅…­₯Ήœ₯ΈΡ‘•₯ȁ₯ΉΩ•ΝΡ΅•ΉΠ)ΝΡΙ…Ρ•₯•Μ(I•Ρ…₯°½ΙΑ½Ι…Ρ₯½ΉΜΡ‘…ЁΉ••ΡΌ)₯΅ΑΙ½Ω”ΝΥΑΑ±δ‘…₯Έ±½₯ΝΡ₯Μ½Θ)…Ή…±εΝ”ΑΙ½‘ՍЁΑ•Ι™½Ι΅…Ή”₯Έ„)‘εΉ…΅₯Œ•ΉΩ₯Ι½Ή΅•ΉΠ+ €)=ٕȁё”Ή•αΠ€Δΰ΅½ΉΡ‘Μ°έ”)•αΑ•ΠΡΌΝ•”΅½Ι”•ΉΡ•ΙΑΙ₯Ν”)…Ή…±εΡ₯Μ™½Ι•ΌΡ‘”‘…Ρ„Ν•ΙΩ•Θ)™…ɡ́½˜Ρ‘”Α…ΝЁ…Ή΅½Ω”₯ΉΡΌ)Ρ‘”‘…Ρ„έ…Ι•‘½ΥΝ”Έ!₯‘•Θ)Α•Ι™½Ι΅…Ή”…Ή±½έ•Θ½ΝЁ…Ι”Ρ‘”)΅½ΝЁ₯΅Α½ΙΡ…ΉΠ‘Ι₯Ω•Ί™½ΘΡ‘”΅½Ω”)‘½΅”°‰ΥЁё•Ι”…Ι”½Ρ‘•Θ‰•Ή•™₯ΡΜ()±°Ν₯ΉΜΑ½₯ΉΠΡΌ₯Έ΅‘…Ρ…‰…Ν”)…Ή…±εΡ₯Μ‰•½΅₯ΉœΡ‘”Ή•αΠƒŠa₯»Šd)Ρ‘₯Ήœ™½Θ ₯œ…Ρ„Έ()ΡΌ½ΉΝ₯‘•ΘΈ́…±Ι•…‘䁍₯Ρ•°₯Ή‘…Ρ…‰…Ν”…Ή…±εΡ₯Μ…±±½ά•ΉΡ•ΙΑΙ₯Ν•Μ)ΡΌΥΝ”έ‘…Ёё•δ‘…Ω”Ρ½‘…δ₯Έ)ѕɡ́½˜%PΝ­₯±±Μ…Ή₯Ή™Ι…ΝΡΙՍΡΥΙ”)έ‘₯±”‘Ι…΅…Ρ₯…±±δ₯΅ΑΙ½Ω₯ΉœΡ‘•₯Θ)…Ή…±εΡ₯Œ…Α…‰₯±₯Ρ₯•ΜΈ±ΝΌ°Ρ‘”Ι•±…Ρ₯Ω”)Ν₯΅Α±₯₯Ρ䁽˜₯Έ΅‘…Ρ…‰…Ν”…Ή…±εΡ₯Μ)…±±½έ́•ΉΡ•ΙΑΙ₯͕́Ѽ•αΑ•Ι₯΅•ΉΠ)΅½Ι”έ₯Ρ Ρ‘•₯ȁ‘…Ρ„…Ή…±εΝ₯́…ΉΡ•ΝΠ)‘εΑ½Ρ‘•Ν•ΜΡ‘…Ёݽձ‘…Ω”‰••Έ)₯΅ΑΙ…Ρ₯…°½Θ•α•ΝΝ₯Ω•±δ•αΑ•ΉΝ₯Ω”)₯Έ„ΡΙ…‘₯Ρ₯½Ή…°Ν•ΡΡ₯ΉœΈ+ Ё±•…ΝЁ™Ι½΄½ΥȁΑ•ΙΝΑ•Ρ₯Ω”°)…±°Ν₯ΉΜΑ½₯ΉΠΡΌ₯Έ΅‘…Ρ…‰…Ν”)…Ή…±εΡ₯Μ‰•½΅₯ΉœΡ‘”Ή•αΠƒŠa₯»Šd)Ρ‘₯Ήœ™½Θ ₯œ…Ρ„Έ(ΜΜ((0