Izingxenyekazi zeCRM kanye nezeDatha

Kukhulisa inani ledatha enkulu nge-Pepperdata's Big Data Stack Optimization kanye ne-Automated Tuning

Lapho kukhonjiswe kahle, idatha enkulu inganamandla amakhulu ekusebenzeni. Idatha enkulu manje idlala indima ebalulekile kuyo yonke into kusuka emabhange kuya ekunakekelweni kwezempilo kuya kuhulumeni. I- isibikezelo sokukhula esimangazayo semakethe yedatha enkulu emhlabeni, kusuka ku- $ 138.9 billion ngo-2020 kuya ku- $ 229.4 billion ngo-2025, kukhombisa ngokusobala ukuthi idatha enkulu manje isiyisakhiwo esihlala njalo endaweni yebhizinisi.

Kodwa-ke, ukukhiqiza inani elikhulu kunawo wonke emininingwaneni yakho emikhulu, isitaki sakho sedatha esikhulu sidinga ukuhlale silungiswa futhi silungiselelwe, kungaba kusefwini noma emagcekeni. Yilapho iPepperdata ingena khona. I-Pepperdata inikeza izinhlangano ukwenziwa ngokugcwele kwengqalasizinda yedatha enkulu futhi ezenzakalelayo. Ipulatifomu iletha ukubonwa okungenakulinganiswa nokushuna okuzenzakalelayo ukuqinisekisa ingqalasizinda yedatha yakho enkulu, izinhlelo zokusebenza, nezinqubo kusebenza kahle futhi kahle, kuqinisekiswa ukusebenza kwezinga le-SLA lazo zonke izinhlelo zokusebenza ngenkathi kugcinwa izindleko zilawulwa.

Ukuhlanganisa ngokufanele idatha enkulu kudinga ukubonwa nokushuna okuqhubekayo. Lokhu kunzima ngaphandle kwamathuluzi afanele. I-Pepperdata inikeza isitaki esigcwele samathuluzi, ngokusebenzisa indawo yethu esemagcekeni nemikhiqizo yamafu: I-Platform Spotlight, i-Capacity Optimizer, i-Query Spotlight, i-Streaming Spotlight, ne-Application Spotlight. 

Ukukhanya Kwengxenyekazi yePepperdata

Ukukhanya Kwengxenyekazi yePepperdata ikuphatha ekubukeni okungama-360-degree kwengqalasizinda yedatha yakho enkulu. Ubona konke, kufaka phakathi ukuthi izinsiza zisetshenziswa kanjani, ukufunwa komlando nesikhathi sangempela kwamaqoqo akho, nokuthi yiziphi izinhlelo zokusebenza ezisebenza ngamazinga amakhulu nokuthi iziphi izinhlelo zokusebenza ezichitha izinsiza.

Uthola isikhombimsebenzisi esibonakalayo esinemininingwane ekhombisa imininingwane ebalulekile yawo wonke amaqoqo akho. Futhi lapho udinga ukucophelela, ungamba phansi bese umba ujule ukuze uhlaziye noma yiluphi uhlelo lokusebenza olukhulu lwedatha ukuqonda ukusebenza kwalo kumongo weqoqo. Noma kunini lapho kuvela izingqinamba zokusebenza, i-Platform Spotlight ivele ikhiphe izexwayiso ukukwazisa ukuthi usebenzise impendulo esheshayo nenqumayo.

Ngokuya ngemininingwane yokusebenza yesikhathi sangempela, i-Platform Spotlight izokhiqiza ukulungiselelwa okufanelekile kokuqinisekisa iziqukathi, ulayini, nezinye izinsiza, kuqinisekisa ukusebenza okubushelelezi nokungenamthungo ngenkathi kudla inani elifanele lezinsizakusebenza. Kubheka nedatha yokusebenza ukuthola izitayela zokukhula nokubikezela ngokunembile izidingo zesisetshenziswa zesikhathi esizayo ngohlelo ngalunye, umthwalo wokusebenza, nenqubo.

I-Pepperdata Capacity Optimizer

Ukusebenziseka mathupha kwezitaki ezinkulu zedatha akuseyona inketho esebenzayo ezweni lanamuhla lokuncintisana. Isivinini siyisisekelo uma kukhulunywa ngokusebenzisa nokukhulisa idatha yakho enkulu. I-Pepperdata Capacity Optimizer iyaqhubeka ishuna futhi ilungiselela izinsiza zakho zeqoqo elikhulu ledatha ngezinguquko ezisheshayo nezinembile, okuholela kokungaphezulu okungu-50% kokufakwa kwedatha enkulu kanye namandla okusaphazwa aphindaphindiwe.

IPepperdata Capacity Optimizer ibuye ihambise ukulawulwa okuzenzakalelayo kwemithwalo yemisebenzi esebenza efwini. Ukukala okuzenzakalelayo okuvamile kunikeza amanye amakhasimende ukuqina kwawo ngemithwalo yemisebenzi yawo emikhulu yedatha. Noma kunjalo, akwanele. IPepperdata Capacity Optimizer ngokukhalipha ikhulisa ukuhlukaniswa kwamathambo ukuze kuqinisekiswe ukuthi wonke ama-node asetshenziswe ngokuphelele ngaphambi kokuba kudalwe amanye ama-node, ukuvimbela enye imfucuza ngenkathi kuncishiswa izindleko ezingeziwe.

Abahlinzeki bamafu banikezela ngengqalasizinda ngokuya ngezidingo eziphakeme zomthwalo womsebenzi. Izidingo ezinkulu ziyahlangatshezwa, kepha ukwengamela ngokweqile kudala imfucuza eminingi uma kunezinsizakusebenza eziningi kakhulu ezisele. I-Capacity Optimizer iyakwazi ukwenza izinqumo eziyizinkulungwane ngomzuzwana, yenze ukuhlaziywa kwesikhathi sangempela kokusetshenziswa kwemithombo yokwandisa ukusetshenziswa kwezinsizakusebenza ze-CPU, imemori kanye ne-I / O kumaqoqo amakhulu wedatha. Umphumela jikelele ukuthi ukukala okuvundlisiwe kuyalungiswa futhi imfucuza iyasuswa.

Umbukiso Wombuzo wePepperdata

Imibuzo iyizinto ezibalulekile lapho ukhuluma kumongo wedatha enkulu. Imibuzo icela futhi ibuyise idatha ukusiza ukwenza ukulayishwa komsebenzi nezinqubo nokunika amandla izinhlelo zokusebenza. Imibuzo enganqunyelwe ingadala ukulayishwa komsebenzi nezinhlelo zokusebenza ukuthi zisale. Umbukiso Wombuzo wePepperdata inika amandla abasebenzisi ukuthi bacubungule ngokujulile embuzweni ngamunye futhi bathole imininingwane eqondayo ngokusebenza kwayo nokusebenza kukonke kwe-database.

I-Pepperdata Query Spotlight ikusiza ukushuna, ukulungisa iphutha, nokwandisa umthwalo wemisebenzi, kufaka phakathi iHive, Impala, neSpark SQL. Njengoba imibuzo yenza imisebenzi yayo ngokushesha, izindleko zehliswa kakhulu, kungaba kusefwini noma endaweni.

I-Query Spotlight ivumela abathuthukisi ukuthi babheke ngokujulile imininingwane yokuhlelela nokwenza imininingwane, bathole ngokushesha izinkinga zohlelo lombuzo, ukulinganisa ukusebenza kombuzo, ukukhomba izingqinamba nezinkinga ezinikela ekubuzeni imibuzo, nesikhathi sejubane sokuxazululwa. Ngaleli thuluzi, ama-opharetha ayakwazi ukunciphisa imibuzo enenkinga cishe ngokushesha, noma endaweni enabasebenzisi abaningi. Ngokuqonda kokusebenza kombuzo, bangakhulisa izinsiza zeqoqo futhi bathuthukise umkhiqizo.

Pepperdata Ukusakaza Okusobala

Pepperdata Ukusakaza Okusobala inika ukusebenza kwe-IT namaqembu wonjiniyela ideshibhodi ebumbene nenemininingwane yokubuka amamethrikhi weqoqo lawo leKafka ngokubonakala okuseduze kwesikhathi sangempela. Isixazululo futhi sibanika amandla okuthengisela impilo, izihloko, kanye nokwahlukanisa.

Leli ithuluzi elihle kakhulu ngoba idatha ye-telemetry eyenziwe nguKafka inkulu futhi ayifinyeleleki kalula, ikakhulukazi kumaqoqo amakhulu okukhiqiza. Iningi lezixazululo zokuqapha ukusebenza kukaKafka zehluleka ukuletha amamethrikhi adingeka kakhulu, ukubonakala, kanye nokuqonda kokusebenzisa izinhlelo zokusakaza ezingeni eliphezulu kakhulu lokusebenza kahle.

Ukuqapha ukusebenza kweKafka okunamandla okusebenza ngamandla futhi kuvumela abasebenzisi ukuthi balungiselele amamethrikhi wokusebenza kukaKafka futhi benze izexwayiso zokuziphatha nezehlakalo zeKafka. Lezi zixwayiso zenza kube lula kubasebenzisi ukuthi bahlole futhi babone ukuguquguquka namaphutha okungalindelekile kwengqalasizinda ye-IT.

I-Pepperdata Application Spotlight 

I-Pepperdata Application Spotlight iletha isithombe esibanzi, esinemininingwane ephelele yazo zonke izinhlelo zakho zokusebenza endaweni eyodwa, enobunye. Ngalesi sixazululo, uhlola ukusebenza kohlelo lokusebenza ngalunye bese uhlonza izingqinamba ezingama-90% ngokushesha, okuholele ekuxazululeni okusheshayo nasekusebenzeni kangcono kangcono jikelele.

I-Pepperdata ibuye inikeze izincomo eziqondene nomsebenzi zohlelo lokusebenza ngalunye futhi ikuvumela ukuthi usethe izaziso ezenziwa ziziphathe nemiphumela ethile, evimbela kakhulu noma iyiphi ingozi yokwehluleka. I-Pepperdata Application Spotlight ikusiza ukuthi ufeze ukusebenza okuhle kakhulu kohlelo kuma-multi-tenant systems, kungakhathalekile ukuthi uwusebenzisela kuphi umthwalo wakho (okusho ukuthi, emagcekeni, i-AWS, i-Azure, noma i-Google Cloud).

Inzuzo ye-Pepperdata Big Data Optimization

Izixazululo ezinkulu ze-data ezishintshayo zikaPepperdata zisize izinhlangano ezinkulu ezimbonini eziningi, kufaka phakathi izinkampani zeFortune 500, ukuthuthukisa nokwenza ngcono ukusebenza kwezitaki zabo ezinkulu zedatha. NgePepperdata, izinkampani ezinkulu nezincane zijabulela ukonga okukhulu ekusetshenzisweni kwengqalasizinda yedatha enkulu, kwehlise i-MTTR (Isikhathi Esisho Ukulungiswa), nokwenza ngcono ukusebenza nokusebenzisa.

  • UPepperdata usize inkampani yobuchwepheshe eyiFortune 100 yonga u- $ 3.6 million ekulondolozweni kwezingxenyekazi zekhompiyutha ngenkathi kunikezwa ukubonakala okuyimbudumbudu kokugqamile kweqoqo, izitayela zokusebenza, nokungasebenzi kahle.
  • Ibhizinisi elidayisa iFortune 100 lithuthukise ukusebenza kokwakhiwa kwalo okukhulu kwedatha nePepperdata. A Ukwanda ngama-30% kokungena inike amandla inkampani ukuthi isebenzise izinhlelo zokusebenza eziningi nokulayishwa komsebenzi, yehlise i-MTTR ngo-92%, futhi yathola ukonga okungama- $ 10 million ekusetshenzisweni kwengqalasizinda.
  • Inkampani yomhlaba wonke yokunakekelwa kwezempilo kuqinisekiswe ukutholakala okungu-24/7 yezinhlelo zayo ezisindisa impilo kusetshenziswa isisombululo se-Pepperdata sokuhlela namandla. Izicelo ezibalulekile zijabulela isikhathi sokusebenza sengqalasizinda kanye nezixwayiso zesikhathi sangempela zikhishwa lapho kufinyelelwa imingcele yangokwezifiso, ukuvimbela ukwehluleka.

Khulisa Inani Ledatha Yakho Enkulu Manje

Idatha enkulu ikusasa futhi yonke imboni iqhubekela kuyo. Kepha lokhu kukhula kuza nezindleko ezinkulu. Udinga ukuvula amandla nenani ledatha yakho enkulu uma inhlangano yakho izosinda futhi ikwazi ukubekezela, ikakhulukazi kulezi zikhathi ezinzima.

Lapho izinhlelo eziyinkimbinkimbi zamadatha amakhulu zifudukela efwini, aba maningi amathuba okuthi kwabiwa kabi izinsiza. Ngo-2019 kuphela, ukulahlekelwa okubangelwa imfucuza yefu kwabalelwa ku- $ 14 billion. Njengoba ezomnotho emhlabeni wonke ziqala ukusimama kulo bhubhane, izinhlangano zidinga ukukhuphula umdlalo wazo omkhulu wedatha njengoba wonke umuntu edonsa kanzima ukuvuselela izikhundla zawo ezimbonini zawo.

Amabhizinisi kufanele akhumbule ukuthi izindleko zizokhula kuphela uma zingenzi kahle kahle. Ibhizinisi kumele lilwele ukwamukela isisombululo esinikezwa ngomshini esingaveza ngokushesha ukuthi yimaphi amaqoqo achitha isikhala noma izinsizakusebenza, ngenkathi kubhekelwa ngamandla ukuguqula izidingo zensiza.

Xhumana noPepperdata ukubona ukuthi izixazululo zethu ezinkulu zokwenza idatha zingakhuphula kanjani ibhizinisi lakho liye ezingeni elisha lonke.

Bhalisela Isivivinyo Samahhala se-Pepperdata

U-Ash Munshi

Ngaphambi kokujoyina uPepperdata, u-Ash wayengusihlalo omkhulu weMarianas Labs, isiqalo sokufunda esijulile esathengiswa ngoDisemba 2015. Ngaphambi kwalokho, wayengu-CEO we-Graphite Systems, isiqalo esikhulu sokugcina idatha esithengiselwe i-EMC DSSD ngo-Agasti 2015. U-Ash naye wakhonza Njengo-CTO we-Yahoo, njenge-CEO yazo zombili izinkampani zikahulumeni nezizimele, futhi usebhodini lokuqalisa ubuchwepheshe obuningi. U-Ash wafunda eHarvard University, eBrown University naseStanford University.

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