Kutsvaga inokurumidza uye iri nyore nzira yekugadzira uye kuona mibvunzo? Usatarisa kumberi kune aya gumi akatanhamara ekuona mibvunzo jenareta.
Zvishandiso izvi zvakakura mukuzivikanwa mumunda wekuongorora data uye hungwaru hwebhizinesi nekuti zvinogonesa iwe kukwidziridza simba redata pasina kudiwa kwehunyanzvi hwekodha kana SQL.
Ava vavaki vemibvunzo yekuona vanopa chiitiko chisina musono chine nyore kudhonza-uye-kudonhedza nzvimbo, zvichikutendera iwe kugadzirisa uye kuongorora data zviri nyore.
Aya gumi makuru ekuona anovaka anozoshandura nzira yaunodyidzana nayo nedata rako, zvichiita kuti kubvunza kwakaoma uye kuona nyore nyore, ungave uri muongorori wedata kana nyanzvi iri kutsvaga ruzivo.
Ngatitarisei kune iyi yakakura muunganidzwa wekucheka-kumucheto zviridzwa uye tione kuti ndeapi mikana yavanopa.
Chekutanga, ngatitarisei kuti nei tichida ava vanovaka mibvunzo yekuona.
Kuita Kuti Dhata Iwanikwe: Basa reVavaki Vanoona Mubvunzo
Muvaki wemubvunzo wekuona akakosha pakurerutsa nekuvandudza maitiro ekubvunza data.
Kutanga, inobvisa chinodiwa chekunzwisisa kwakadzama kwemitauro yakaoma yemubvunzo yakadai seSQL.
Izvi zvinozvivhura kune vakasiyana vakasiyana-siyana vashandisi, kusanganisira vasiri tekinoroji, vanogona kukurumidza kunyora mibvunzo vachishandisa iri nyore uye yekuona interface.
Iwe unogona kugadzira mibvunzo nekukurumidza uye zvinobudirira nekukweva nekudonhedza matafura, kusarudza makoramu, kutsanangura majoini, uye kushandisa mafirita muvaki vemibvunzo yekuona.
Izvi hazvingochengetedze nguva chete asiwo zvinodzikisira mukana wekukanganisa uchigadzira nemaoko mibvunzo yakaoma.
Uyezve, vavaki vemibvunzo yekuona vanoratidza chimiro chemubvunzo nemaziso, zvichikutendera kuti unzwisise zviri nani uye uongorore mubvunzo wemubvunzo.
Ivo zvakare vanopa syntax kujekesa, kutarisa kukanganisa, uye optimization yemubvunzo kuti ive nechokwadi chechokwadi uye nekumhanya kwemibvunzo yakagadzirwa.
Pakazere, muvaki wemubvunzo anooneka anoita kuti vanhu vaongorore uye vatore ruzivo kubva kune yavo data yakazvimiririra yehunyanzvi ruzivo, ichiita chishandiso chakakosha chekuongorora data uye maitiro ekuita sarudzo.
1. Datapine
Datapine ndeye inonakidza yekuona mubvunzo muvaki iyo inokutendera iwe kuti uongorore zviri nyore uye unzwisise data ravo.
Kunyangwe vashandisi vasiri tekinoroji vanogona kukurumidza kuvaka yakaomesesa SQL mibvunzo vachishandisa yayo mushandisi-inoshamwaridzika interface pasina kunyora mutsara mumwechete wekodhi.
Chimwe chezvinhu zvikuru zvechishandiso ndechekudhonza-uye-kudonhedza kugona, izvo zvinokutendera kuti utore intuitively matafura, makoramu, uye maitiro, uchivabvumira kunyora nyore mibvunzo.
Datapine's SQL Query Builder inosanganisirawo mamwe maficha akadai sekujoinha, mafirita, uye aggregations, achipa vatengi kugona kuita yakakura data data.
Uyezve, iyo application ine live preview basa iro rinokutendera kuti iwe uone nekukurumidza mhedzisiro yekutsvaga kwavo, kuvimbisa chokwadi uye kuchengetedza nguva.
2. IBM Cognos Analytics
Icho chakasimba bhizinesi rehungwaru chigadzirwa chinosanganisira Query Studio, ine simba yekuona mubvunzo muvaki.
Iwe unogona kungovaka mibvunzo uchishandisa Query Studio uchishandisa yekudhonza-uye-kudonhedza interface, uchibvisa kudiwa kweyakaomesesa SQL kodhi. Chishandiso chinopa mushandisi-ane hushamwari nharaunda umo iwe unogona nyore kusarudza uye kuronga data zvinhu, shandisa mafirita, uye kugadzira computations.
Query Studio inewo mamwe maficha anosanganisira drill-kuburikidza nehunyanzvi, izvo zvinokutendera kuti uende kubva muchidimbu mhinduro kuenda kune yakazara data.
Iwe unogona zvakare kugadzira inodyidzana yekuona uye dashboards kuti uendese zvirinani mhinduro yemubvunzo. Vashandisi veIBM Cognos Analytics 'Query Studio vanogona kukurumidza uye zvinobudirira kuburitsa ruzivo kubva kune yavo data, vachibvumira ine ruzivo rwekuita sarudzo mubhizinesi rese.
3. Navicat Mubvunzo Muvaki
Navicat Query Builder chishandiso chinobatsira chakapihwa neNavicat database management software iyo inokutendera kuti ugone kugadzira mibvunzo pasina chero ruzivo rweSQL.
Iwe unogona nyore kuvaka uye kugadzirisa mibvunzo uchishandisa yayo mushandisi-inoshamwaridzika interface nekukweva nekudonhedza matafura, kusarudza minda, uye kutsanangura paramita. Iyo Query Builder inosanganisira ino dhizaini Dhizaini hwindo rekuona kuronga matafura neminda, nepo kodhi pane inoratidza yakakodzera SQL kodhi.
Iwe unogona kutsanangura minda inobuda, senge marekodhi ega, akaunganidzwa mabasa, uye munda aliases, nekubatanidza dhatabhesi zvinhu. Zvinogona kushandiswa pakusefa mivhunzo, uye GROUP BY uye ORDER BY clauses zvinoita kuti zvive nyore kugadzira maitiro ekuronga nekugadzirisa.
Uyezve, iyo Query Builder ine maitiro mashoma ekudzora huwandu hwemibvunzo yaunzwa. Iwe unogona kushandisa Navicat Query Builder kuti ikurumidze kugadzirwa kwemibvunzo uye kuwedzera dhatabhesi kushanda zvakanaka.
4. Dataiku
Dataiku yakakwana data science uye analytics chikuva chine muvaki wemubvunzo wekuona pakati peakawanda maficha. Iwe unogona nyore kuongorora uye kuongorora data neDataiku's yekuona mubvunzo muvaki, izvo zvinobvisa kudiwa kwekunyora.
Zvakare, iwe unogona kushandisa iyo yekuona maitiro kudhonza uye kudonhedza data masosi, kuwedzera mafirita, uye kuita shanduko yedata.
Dataiku's yekuona mubvunzo muvaki inokutendera iwe kuti unyore mibvunzo inopindirana, batanidza data kubva akati wandei masosi, uye gadzira akaomesesa data mapaipi. Inosanganisirawo maficha akaomesesa senge aggregations, kukakavara kwedata, uye chimiro cheinjiniya kubatsira nekuongorora kwakadzama data.
Iwe unogona kubatsirwa kubva kune simba re data uchishandisa Dataiku's yekuona mubvunzo muvaki, ichiita kuti iwanikwe kune vese hunyanzvi uye vasiri tekinoroji vashandisi yekutsvaga data nekukurumidza.
5. Devart dbForge Query Builder
Devart dbForge Query Builder chinhu chakasimba chekuona mubvunzo kugadzira chishandiso chinoita kuti kubvunza uye kuongorora data kuve nyore. Iwe unogona kungogadzira uye kuvaka yakaoma SQL mibvunzo uchishandisa yayo yakatwasuka interface, kubvisa iyo kudiwa kwehunyanzvi hwekodha.
Iyo Query Builder inopa intuitive nharaunda umo vashandisi vanogona nekuona kusarudza matafura, kuvaka majoini ekubatanidza, uye kushandisa mafirita kuburitsa data rinodiwa.
Iyo inotsigira huwandu hwakawanda hwedhatabhesi uye inopa yakazara seti yekugona, kusanganisira yekuona dhayagiramu inobvumira vashandisi kuyambuka uye kushandura query zvikamu intuitively.
Uyezve, iyo Query Builder ine mamwe maficha senge subquery rutsigiro, SQL syntax inoratidzira, uye nehungwaru kodhi kupedzisa, iyo inovandudza ruzivo rwekuvaka-mubvunzo.
6. Aqua Data Studio Visual Query Builder
Aqua Data Studio Visual Query Builder chishandiso chine simba chinogonesa kugadzirwa kweakaoma dhatabhesi mibvunzo nekudzikisa kudiwa kweakadzama SQL syntax hunyanzvi.
Iwe unogona kunyatsobatanidza SQL clause senge JOINs uye GROUP BY nezvimwe zvinhu zvinosanganisira Indexes, Operators, Aliases, Ronga Rudzi, Ronga Order, uye Criteria uchishandisa yayo mushandisi-inoshamwaridzika interface.
Aqua Data Studio's Visual Query Builder inopa huwandu hwesarudzo dzekuona, zvichikutendera kuti ufambe zviri nyore uye kushandura zvikamu zvemubvunzo. Zvichienderana nezvisarudzo zvemushandisi, chishandiso ichi chakaomarara chinogadzira zvirevo zveSQL zvakagadzirira kuurayiwa.
Zvishandiso zvekuchengetedza nguva zvakaita seIndex Manager uye kureruka kwekushandisa kudhonza-uye-kudonhedza kugona kuisa maJOINs anovandudza maitiro ekugadzirisa-mubvunzo, zvichiita kuti inyatsoshanda uye intuitive.
7. IBM Cognos Analytics
IBM Cognos Analytics inosanganisira Query Studio, yakasimba yekuona mhinduro yekugadzira iyo inobvumira vashandisi kugadzira mibvunzo zviri nyore. Vashandisi veQuery Studio vanogona kugadzira mibvunzo vachishandisa mushandisi-inoshamwaridzika interface pasina chero ruzivo rweSQL.
Chishandiso chine huwandu hwakasiyana hwezvinhu, kusanganisira kugona kusarudza nyore uye kuronga zvinhu zve data, kuisa mafirita, uye kugadzira computations.
Drill-kuburikidza maficha anotsigirwawo neQuery Studio, iyo inoita kuti iwe ufambe kubva muchidimbu mhinduro kuenda kune yakazara ruzivo. IBM Cognos Analytics 'Query Studio inokwenenzvera nzira yekuvaka-mubvunzo neiyo nyore UI uye yakakura mashandiro ekunyatso kuongorora uye kuita akadzidza bhizinesi sarudzo.
8. RapidMiner
RapidMiner inoshanduka uye yakazara data science platform iyo inobatanidza zvisina musono neakasiyana masisitimu uye matekinoroji. RapidMiner's comprehensive platform inokuita kuti ubatanidze uye ubatane neyakasiyana siyana data masosi, kusanganisira dhatabhesi, matura data, Cloud kuchengetedza masevhisi, uye yekutepfenyura mapuratifomu.
Izvi zvinongedzo zvinogonesa iwe kuwana uye kuongorora data kubva kune akati wandei masosi mukati meimwe nharaunda yakabatana. RapidMiner inobatanidzawo nemitauro mikuru yekuronga sePython neR, ichirega vashandisi kushandisa kodhi yavo yazvino nemaraibhurari.
Uyezve, chikuva chinopindirana neane simba analytics uye machine learning tekinoroji uye inokubatsira iwe kuvaka uye kuendesa emhando yepamusoro kuburikidza neiyo graphical uye mushandisi-inoshamwaridzika interface.
9. Power Query muMicrosoft Excel
Microsoft Excel ine yakasimba data kugadzirisa uye query tool inonzi Power Query. Inoita kuti iwe ugone kupinza nyore nyore, kuumba, uye kushandura data kubva kwakasiyana masosi. Vashandisi vanoshandisa Power Query vanogona kubatana kune akasiyana dhata masosi, kusanganisira dhatabhesi, maspredishiti, mapeji ewebhu, nezvimwe.
Chishandiso chine nyore-kushandisa-interface iyo, iwe unogona kugadzira mibvunzo zvine graphic nekusarudza uye kusefa data, kubatanidza uye kuisa matafura, uye kuita shanduko kuchenesa nekugadzirisa zvakare data.
Kuvimbisa mhando yedata, Power Query zvakare ine yakakura data profiling uye kukanganisa manejimendi maturusi. Iyo ine zvakare yemubvunzo mupepeti, iyo iwe yaunogona kuongorora uye kugadzirisa iri pasi M kodhi kana zvichidikanwa.
10. Apache Superset
Muvaki wemubvunzo wekuona anopihwa neApache Superset, ine simba yakavhurika-sosi yekuongorora data uye yekuona chikuva, kufambisa uye kugadzirisa maitiro ekuongorora data.
Iwe haudi yakakura SQL hunyanzvi kuti ugadzire yakaoma dhatabhesi mibvunzo uchishandisa Superset's yekuona mubvunzo muvaki. Zvakare, iwe unogona kusarudza matafura, tsanangura majoini, shandisa mafirita, uye akaunganidza data uchishandisa mushandisi-inoshamwaridzika interface's kudhonza-uye-kudonha mashandiro.
Unogona kuongorora uye kuongorora data ravo zviri nyore nekushandisa muvaki wemubvunzo wekuona, kuchengetedza nguva uye kudzikisa mukana wezvikanganiso zvinogona kuitika uchinyora mibvunzo yemanyorero.
Kuwedzera kupa akasiyana maturusi ekuvandudza ruzivo rwekuongorora data ndeye Superset yekuona mubvunzo muvaki. Uchishandisa mhinduro yemubvunzo, unogona kukurumidza kugadzira machati, madhibhodhi, uye zvinoonekwa.
Iwe unogona kuratidza data rako nenzira inoyevedza uye inodzidzisa nekuda kwekusarudzwa kwakakura kwepuratifomu yemachati masitaera, ayo anosanganisira mabhawa machati, machati emitsetse, scatter plots, nezvimwe.
Superset inotsigirawo akati wandei data masosi, saka iwe unogona kubatana kune akawanda dhatabhesi, matura data, uye kunyangwe masevhisi ekunze kuti uwane uye kuongorora data ravo pasina kuomerwa.
mhedziso
Izvo zvakasikwa zvevanovaka mubvunzo vanovaka, mukupedzisa, zvinopa akasiyana ezvishandiso zvine simba zvinoshandura kuongororwa kwedata uye maitiro ekubvunza.
Chishandiso chimwe chinomira pachena sepamusoro pehunyoro uye kuchinjika kunyangwe chimwe nechimwe chezvishandiso zvakanyorwa muchinyorwa chino chine zvakanakira zvakasiyana.
RapidMiner inopa vatengi dhigirii risingaenzaniswi rekuchinjika uye rinobatsira nekuda kweiyo yakazara data sainzi chikuva, nyore interface ine akasiyana masisitimu uye matekinoroji, uye rutsigiro rwevazhinji. kuronga mitauro.
Yayo iri nyore interface inobvumira vashandisi kuti vabatanidze nyore kune akawanda data masosi, kuita analytics yepamberi, kugadzira akaomesesa modhi, uye kuaisa. Uye inoita kuti iwe uwedzere kukosha kwedata rako uye kuita sarudzo dzinofambiswa nedata, zvisinei nekwako kumashure semuongorori wedata, nyanzvi yebhizinesi, kana sainzi yedata. Nekudaro, iwe unofanirwa kupa chishandiso chimwe nechimwe kuyedza kuti uone kuti ndechipi chinokodzera zvaunofarira zvakanyanya.
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