Overview
Databricks idata uye AI chikuva chinobatanidza data engineering, analytics, uye muchina kudzidza pane imwechete 'lakehouse' hwaro. Izvo zvine basa nekuti zvinoita kuti makambani atore mahombe dataset uye kuvaka AI zvakananga uko data ravo rinogara.
Databricks inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
Databricks yakavambwa muna 2013 nevagadziri vekutanga veApache Spark, kusanganisira Ali Ghodsi naMatei Zaharia, kunze kweUC Berkeley's AMPLab. Zano rayo siginicha ndiyo 'lakehouse' - kusanganisa yakachipa, inochinjika chengetedzo yedhamu data nekuvimbika uye kuita kwenzvimbo yekuchengetera data, inogoneswa neyakavhurika Delta Lake tafura fomati. Pamusoro panogara Unity Catalog yehutongi, MLflow yekutevera kuyedza, uye iyo Databricks Runtime yakavakirwa paSpark. Muna 2023 Databricks yakawana MosaicML uye yakazoburitsa DBRX, yakavhurika mutauro wakakura modhi, ichiratidza pivot yakaoma yakananga kunogadzira AI. Iyi puratifomu ikozvino inotengesa 'Data Intelligence Platform' yekuvaka uye kushandira maAI vamiririri pane bhizinesi data.
Technical Insight
Pakati payo, Databricks inomhanya yakagoverwa computation paApache Spark, ichitsemura mabasa makuru mumapoka emichina. Delta Lake inowedzera ACID kutengeserana uye dhizaini yekutengeserana pamusoro pechichipo chekuchengetedza chinhu, saka madhamu edhata anoita senge dhatabhesi. MLflow inomisa iyo ML lifecycle-yekutevera inomhanya, yekurongedza modhi, uye manejimendi ekutumirwa. Yekugadzira AI, Mosaic AI maturusi anobata zvakanaka-tuning, vector kutsvaga, uye modhi yekushandira, ichirega makambani kuvaka ekudzoreredza-akawedzera vabatsiri zvakananga kubva kune inotongwa data.
Mastering Databricks
Databricks idata uye AI chikuva chinobatanidza data engineering, analytics, uye muchina kudzidza pane imwechete 'lakehouse' hwaro. Izvo zvine basa nekuti zvinoita kuti makambani atore mahombe dataset uye kuvaka AI zvakananga uko data ravo rinogara. Databricks inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, bata Databricks semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura mhedzisiro inodiwa, kujekesa fungidziro, uye patsanura izvo system inogona kuita zvakavimbika kubva kune ichiri kuda nyanzvi kutonga.
Mukuita, zvikwata zvakasimba zvinoshandisa Databricks zvinoongorora nzira yevatengesi, kuvimbika kwemepu yemugwagwa, uye njodzi yekuvhara isati yaita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Panguva imwecheteyo, zviziviso zveLaunch zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Mutengesi anomhanyisa husiku Spark mabasa paDatabricks kugadzirisa mabhiriyoni emarekodhi ekutengesa mumatafura akachena ekufanotaura.
Chikwata chesainzi yedata chinoshandisa MLflow paDatabricks kuteedzera zviedzo uye kuisa churn-prediction modhi.
Bhangi rinovaka chatbot inotongwa neMosaic AI vector yekutsvaga inopindura mibvunzo pamusoro pemagwaro emutemo wemukati.
Boka reanalytics rinoshandisa Delta Lake kupa yakashata data dziva rakavimbika, rekutengesa matafura eBI dashboard.
Maitiro Ekuita
Databricks mukuita
Mutengesi anomhanyisa husiku Spark mabasa paDatabricks kugadzirisa mabhiriyoni emarekodhi ekutengesa mumatafura akachena ekufanotaura.
Mutengesi anomhanyisa husiku Spark mabasa paDatabricks kuti agadzirise mabhiriyoni emarekodhi ekutengesa mumatafura akachena ekufungidzira Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Databricks mukuita
Chikwata chesainzi yedata chinoshandisa MLflow paDatabricks kuteedzera zviedzo uye kuisa churn-prediction modhi.
Chikwata chesainzi yedata chinoshandisa MLflow paDatabricks kuteedzera zviedzo uye kuendesa churn-kufanotaura modhi Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Databricks mukuita
Bhangi rinovaka chatbot inotongwa neMosaic AI vector yekutsvaga inopindura mibvunzo pamusoro pemagwaro emutemo wemukati.
Bhangi rinovaka chatbot inotongwa neMosaic AI vector yekutsvaga inopindura mibvunzo pamusoro pemagwaro emukati epolicy Zvikwata zvinowanzowana mhedzisiro iri nani kana vachinge vatsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Databricks mukuita
Boka reanalytics rinoshandisa Delta Lake kupa yakashata data dziva rakavimbika, rekutengesa matafura eBI dashboard.
Boka reanalytics rinoshandisa Delta Lake kupa yakashata data dziva rakavimbika, rekutengesa matafura eBI dashboards Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Ongorora vanopa uchishandisa ako ega mabasa uye dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.