{"id":90783,"date":"2020-08-06T01:42:19","date_gmt":"2020-08-05T23:42:19","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/kak-bigquery-ot-google-demokratiziroval-analiz-dannyh-chast-1"},"modified":"2020-08-06T01:42:19","modified_gmt":"2020-08-05T23:42:19","slug":"kak-bigquery-ot-google-demokratiziroval-analiz-dannyh-chast-1","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/administrirovanie\/kak-bigquery-ot-google-demokratiziroval-analiz-dannyh-chast-1","title":{"rendered":"Si BigQuery i Google demokratizoi analiz\u00ebn e t\u00eb dh\u00ebnave. Pjesa 1.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><b><i>P\u00ebrsh\u00ebndetje, Habr! Tani p\u00ebr tani n\u00eb OTUS \u00ebsht\u00eb hapur nj\u00eb grup p\u00ebr nj\u00eb raund t\u00eb ri t\u00eb kursit. <noindex><a rel=\"nofollow\" href=\"https:\/\/otus.pw\/wDZQ\/\">\u00abInxhiner i T\u00eb Dh\u00ebnave\u00bb<\/a><\/noindex>. Me rastin e fillimit t\u00eb kursit, ne tradicionalisht kemi p\u00ebrgatitur p\u00ebr ju nj\u00eb p\u00ebrkthim t\u00eb materialeve interesante. <\/i><\/b><\/p>\n<p>\n\u00c7do dit\u00eb m\u00eb shum\u00eb se nj\u00ebqind milion njer\u00ebz vizitojn\u00eb Twitter p\u00ebr t\u00eb m\u00ebsuar se \u00e7far\u00eb po ndodh n\u00eb bot\u00eb dhe p\u00ebr ta diskutuar at\u00eb. \u00c7do tweet dhe \u00e7do veprim tjet\u00ebr i p\u00ebrdoruesve gjeneron nj\u00eb ngjarje q\u00eb \u00ebsht\u00eb e disponueshme p\u00ebr analiz\u00ebn e brendshme t\u00eb t\u00eb dh\u00ebnave n\u00eb Twitter. Qindra punonj\u00ebs analizojn\u00eb dhe vizualizojn\u00eb k\u00ebto t\u00eb dh\u00ebna, dhe p\u00ebrmir\u00ebsimi i p\u00ebrvoj\u00ebs s\u00eb tyre \u00ebsht\u00eb prioriteti kryesor p\u00ebr ekipin e Platform\u00ebs s\u00eb T\u00eb Dh\u00ebnave t\u00eb Twitter. <\/p>\n<p>Ne besojm\u00eb se p\u00ebrdoruesit me nj\u00eb gam\u00eb t\u00eb gjer\u00eb aft\u00ebsish teknike duhet t\u00eb ken\u00eb mund\u00ebsi p\u00ebr t\u00eb gjetur t\u00eb dh\u00ebna dhe p\u00ebr t\u00eb pasur qasje n\u00eb mjete analize dhe vizualizimi t\u00eb punojn\u00eb mir\u00eb mbi SQL. Kjo do t\u2019i lejonte nj\u00eb grup t\u00eb ri p\u00ebrdoruesish me m\u00eb pak orientim teknik, duke p\u00ebrfshir\u00eb analist\u00ebt e t\u00eb dh\u00ebnave dhe menaxher\u00ebt e produkteve, t\u00eb nxjerrin informacion nga t\u00eb dh\u00ebnat, duke i ndihmuar ata t\u00eb kuptojn\u00eb m\u00eb mir\u00eb dhe t\u00eb p\u00ebrdorin mund\u00ebsit\u00eb e Twitter. K\u00ebshtu ne demokratizojm\u00eb analiz\u00ebn e t\u00eb dh\u00ebnave n\u00eb Twitter. <noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<p>Me p\u00ebrmir\u00ebsimin e mjeteve tona dhe mund\u00ebsive p\u00ebr analiz\u00ebn e brendshme t\u00eb t\u00eb dh\u00ebnave, kemi par\u00eb p\u00ebrmir\u00ebsime n\u00eb sh\u00ebrbimin Twitter. Megjithat\u00eb, ka ende hap\u00ebsir\u00eb p\u00ebr rritje. Mjetet aktuale, si Scalding, k\u00ebrkojn\u00eb p\u00ebrvoj\u00eb n\u00eb programim. Mjetet e analiz\u00ebs bazuar n\u00eb SQL, si Presto dhe Vertica, kan\u00eb probleme me performanc\u00ebn n\u00eb shkall\u00eb t\u00eb madhe. Nd\u00ebrkoh\u00eb, na shqet\u00ebson shp\u00ebrndarja e t\u00eb dh\u00ebnave midis disa sistemeve pa qasje t\u00eb vazhdueshme ndaj tyre.<\/p>\n<p>Vit m\u00eb par\u00eb shpall\u00ebm <noindex><a rel=\"nofollow\" href=\"https:\/\/blog.twitter.com\/engineering\/en_us\/topics\/infrastructure\/2018\/a-new-collaboration-with-google-cloud.html\">nj\u00eb bashk\u00ebpunim t\u00eb ri me Google<\/a><\/noindex>, n\u00eb kuad\u00ebr t\u00eb cilit po transferojm\u00eb pjes\u00eb t\u00eb <noindex><a rel=\"nofollow\" href=\"https:\/\/blog.twitter.com\/engineering\/en_us\/topics\/infrastructure\/2019\/the-start-of-a-journey-into-the-cloud.html\">infrastruktur\u00ebs son\u00eb t\u00eb t\u00eb dh\u00ebnave<\/a><\/noindex> n\u00eb Google Cloud Platform (GCP). Kemi arritur n\u00eb p\u00ebrfundimin se mjetet e Google Cloud <noindex><a rel=\"nofollow\" href=\"https:\/\/cloud.google.com\/products\/big-data\/\">Big Data<\/a><\/noindex> mund t\u00eb na ndihmojn\u00eb n\u00eb iniciativat tona p\u00ebr demokratizimin e analiz\u00ebs, vizualizimit dhe m\u00ebsimit t\u00eb makineris\u00eb n\u00eb Twitter:<\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/cloud.google.com\/bigquery\/\">BigQuery<\/a><\/noindex>: nj\u00eb magazin\u00eb t\u00eb dh\u00ebnash korporative me nj\u00eb motor SQL t\u00eb bazuar n\u00eb <noindex><a rel=\"nofollow\" href=\"https:\/\/ai.google\/research\/pubs\/pub36632\">Dremel<\/a><\/noindex>, i njohur p\u00ebr shpejt\u00ebsin\u00eb e tij, leht\u00ebsin\u00eb dhe aft\u00ebsin\u00eb p\u00ebr t\u00eb p\u00ebrballuar <noindex><a rel=\"nofollow\" href=\"https:\/\/cloud.google.com\/bigquery-ml\/docs\/bigqueryml-intro\">m\u00ebsimin e makineris\u00eb<\/a><\/noindex>.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/datastudio.google.com\/overview\">Studio t\u00eb Dh\u00ebnave:<\/a><\/noindex> nj\u00eb mjet p\u00ebr vizualizimin e t\u00eb dh\u00ebnave t\u00eb m\u00ebdha me funksione bashk\u00ebpunimi, si n\u00eb Google Docs.<\/li>\n<\/ul>\n<p>\nNga ky artikull do t\u00eb m\u00ebsoni p\u00ebr p\u00ebrvoj\u00ebn ton\u00eb me k\u00ebto mjete: \u00e7far\u00eb kemi b\u00ebr\u00eb, \u00e7far\u00eb kemi m\u00ebsuar dhe \u00e7far\u00eb do t\u00eb b\u00ebjm\u00eb m\u00eb pas. Tani do t\u00eb p\u00ebrqendrohemi n\u00eb analitik\u00ebn paketore dhe interaktive. Analitik\u00ebn n\u00eb koh\u00eb reale do ta diskutojm\u00eb n\u00eb artikullin tjet\u00ebr.<\/p>\n<h2>Historia e magazinave t\u00eb t\u00eb dh\u00ebnave n\u00eb Twitter<\/h2>\n<p>\nPara se t\u00eb thellohemi n\u00eb BigQuery, \u00ebsht\u00eb e p\u00ebrshtatshme t\u00eb japim nj\u00eb p\u00ebrmbledhje t\u00eb shkurt\u00ebr t\u00eb historis\u00eb s\u00eb magazinave t\u00eb t\u00eb dh\u00ebnave n\u00eb Twitter. N\u00eb vitin 2011, analiza e t\u00eb dh\u00ebnave n\u00eb Twitter kryhej n\u00eb Vertica dhe Hadoop. P\u00ebr t\u00eb krijuar MapReduce, ne p\u00ebrdor\u00ebm Pig. N\u00eb vitin 2012, e z\u00ebvend\u00ebsuam Pig me Scalding, i cili kishte nj\u00eb API n\u00eb Scala me avantazhe si mund\u00ebsia p\u00ebr t\u00eb krijuar konvejer\u00eb t\u00eb nd\u00ebrlikuar dhe leht\u00ebsin\u00eb n\u00eb testim. Megjithat\u00eb, p\u00ebr shum\u00eb analist\u00eb t\u00eb t\u00eb dh\u00ebnave dhe menaxher\u00eb produktesh, t\u00eb cil\u00ebt ishin m\u00eb t\u00eb rehatsh\u00ebm t\u00eb punonin me SQL, kjo ishte nj\u00eb kurb\u00eb m\u00ebsimi mjaft e pjerr\u00ebt. Diku n\u00eb vitin 2016, filluam t\u00eb p\u00ebrdornim Presto si nd\u00ebrfaqen SQL p\u00ebr t\u00eb dh\u00ebnat n\u00eb Hadoop. Spark ofronte nj\u00eb nd\u00ebrfaqe Python, e cila e b\u00ebn at\u00eb nj\u00eb zgjedhje t\u00eb mir\u00eb p\u00ebr hulumtimet ad hoc t\u00eb t\u00eb dh\u00ebnave dhe m\u00ebsimin e makinave.<\/p>\n<p>Q\u00eb nga viti 2018, kemi p\u00ebrdorur k\u00ebto mjete p\u00ebr analiz\u00ebn dhe vizualizimin e t\u00eb dh\u00ebnave:<\/p>\n<ul>\n<li>Scalding p\u00ebr linjat e prodhimit<\/li>\n<li>Scalding dhe Spark p\u00ebr analiza ad hoc t\u00eb t\u00eb dh\u00ebnave dhe m\u00ebsim makinor<\/li>\n<li>Vertica dhe Presto p\u00ebr analiza SQL ad hoc dhe interaktive <\/li>\n<li>Druid p\u00ebr qasje interaktive, k\u00ebrkuese dhe me vones\u00eb t\u00eb ul\u00ebt n\u00eb metrikat e serive t\u00eb koh\u00ebs<\/li>\n<li>Tableau, Zeppelin dhe Pivot p\u00ebr vizualizimin e t\u00eb dh\u00ebnave<\/li>\n<\/ul>\n<p>\nKemi zbuluar se, megjith\u00ebse k\u00ebto mjete ofrojn\u00eb mund\u00ebsi shum\u00eb t\u00eb fuqishme, kemi hasur v\u00ebshtir\u00ebsi n\u00eb realizimin e aksesit t\u00eb k\u00ebtyre mund\u00ebsive p\u00ebr nj\u00eb audienc\u00eb m\u00eb t\u00eb gjer\u00eb n\u00eb Twitter. Duke zgjeruar platform\u00ebn ton\u00eb me ndihm\u00ebn e Google Cloud, ne p\u00ebrqendrohemi n\u00eb thjeshtimin e mjeteve tona analitike p\u00ebr t\u00eb gjith\u00eb Twitter-in.<\/p>\n<h2>Depoja e t\u00eb dh\u00ebnave BigQuery nga Google <\/h2>\n<p>\nDisa ekipe n\u00eb Twitter tashm\u00eb kan\u00eb p\u00ebrfshir\u00eb BigQuery n\u00eb disa nga kanalet e tyre t\u00eb prodhimit. Duke p\u00ebrdorur p\u00ebrvoj\u00ebn e tyre, filluam t\u00eb vler\u00ebsojm\u00eb mund\u00ebsit\u00eb e BigQuery p\u00ebr t\u00eb gjitha skenar\u00ebt e p\u00ebrdorimit t\u00eb Twitter. Q\u00ebllimi yn\u00eb ishte t\u00eb ofronim BigQuery p\u00ebr t\u00eb gjith\u00eb kompanin\u00eb, si dhe t\u00eb standardizonim dhe mb\u00ebshtesnim at\u00eb brenda paket\u00ebs s\u00eb veglave t\u00eb Platform\u00ebs s\u00eb t\u00eb Dh\u00ebnave. Kjo ishte e v\u00ebshtir\u00eb p\u00ebr shum\u00eb arsye. Na nevojitej t\u00eb zhvillonim nj\u00eb infrastruktur\u00eb p\u00ebr t\u00eb pranuar sasi t\u00eb m\u00ebdha t\u00eb dh\u00ebnash n\u00eb m\u00ebnyr\u00eb t\u00eb besueshme, p\u00ebr t\u00eb mb\u00ebshtetur menaxhimin e t\u00eb dh\u00ebnave n\u00eb shkall\u00eb t\u00eb plot\u00eb t\u00eb kompanis\u00eb, p\u00ebr t\u00eb siguruar kontrollin e duhur t\u00eb qasjes dhe p\u00ebr t\u00eb garantuar privat\u00ebsin\u00eb e klient\u00ebve. Na duhej gjithashtu t\u00eb krijonim sisteme p\u00ebr shp\u00ebrndarjen e burimeve, monitorimin dhe kthimin e pagesave, n\u00eb m\u00ebnyr\u00eb q\u00eb ekipet t\u00eb mund t\u00eb p\u00ebrdorin efektivisht BigQuery.<\/p>\n<p>N\u00eb n\u00ebntor 2018, ne publikuam nj\u00eb version alfa t\u00eb BigQuery dhe Data Studio p\u00ebr t\u00eb gjith\u00eb kompanin\u00eb. Ne ofruam punonj\u00ebsve t\u00eb Twitter disa nga tabelat tona m\u00eb t\u00eb p\u00ebrdorura me t\u00eb dh\u00ebna personale t\u00eb pastra. M\u00eb shum\u00eb se 250 p\u00ebrdorues nga ekipet e ndryshme, duke p\u00ebrfshir\u00eb inxhinierin\u00eb, financat dhe marketingun, p\u00ebrdor\u00ebn BigQuery. S\u00eb fundmi, ata b\u00ebnin rreth 8,000 k\u00ebrkesa, duke procesuar rreth 100 PB n\u00eb muaj, p\u00ebrve\u00e7 k\u00ebrkesave t\u00eb planifikuara. Pas marrjes s\u00eb komenteve shum\u00eb pozitive, ne vendos\u00ebm t\u00eb ecim p\u00ebrpara dhe t\u00eb ofrojm\u00eb BigQuery si burimin kryesor p\u00ebr bashk\u00ebveprimin me t\u00eb dh\u00ebnat n\u00eb Twitter.<\/p>\n<p>Ja skema e arkitektur\u00ebs s\u00eb nivelit t\u00eb lart\u00eb t\u00eb depozit\u00ebs son\u00eb t\u00eb t\u00eb dh\u00ebnave Google BigQuery. <\/p>\n<p><img decoding=\"async\" alt=\"Si BigQuery i Google demokratizoi analiz\u00ebn e t\u00eb dh\u00ebnave. Pjesa 1.\" src=\"\/wp-content\/uploads\/2020\/08\/6a3e0b43752ebbac641c43519c8c2fba.png\" style=\"display:block;margin: 0 auto;\" \/><br \/>\nNe kopjojm\u00eb t\u00eb dh\u00ebnat nga klaster\u00ebt lokal\u00eb Hadoop n\u00eb Google Cloud Storage (GCS), duke p\u00ebrdorur mjetin ton\u00eb t\u00eb brendsh\u00ebm Cloud Replicator. M\u00eb pas, ne p\u00ebrdorim Apache Airflow p\u00ebr t\u00eb krijuar kanale, t\u00eb cilat p\u00ebrdorin \"<noindex><a rel=\"nofollow\" href=\"https:\/\/cloud.google.com\/bigquery\/docs\/reference\/bq-cli-reference#bq_load\">bq_load<\/a><\/noindex>\" p\u00ebr t\u00eb ngarkuar t\u00eb dh\u00ebnat nga GCS n\u00eb BigQuery. Ne p\u00ebrdorim Presto p\u00ebr t\u00eb pyetur grumbuj t\u00eb dh\u00ebnash Parquet ose Thrift-LZO n\u00eb GCS. BQ Blaster \u00ebsht\u00eb nj\u00eb mjet i brendsh\u00ebm Scalding p\u00ebr ngarkimin e grumbujve t\u00eb t\u00eb dh\u00ebnave HDFS Vertica dhe Thrift-LZO n\u00eb BigQuery.<\/p>\n<p>N\u00eb seksionet n\u00eb vazhdim, ne do t\u00eb diskutojm\u00eb qasjen dhe njohurit\u00eb tona p\u00ebr thjesht\u00ebsin\u00eb e p\u00ebrdorimit, performanc\u00ebn, menaxhimin e t\u00eb dh\u00ebnave, funksionalitetin e sistemit dhe kostot.<\/p>\n<h4>Thjesht\u00ebsia e p\u00ebrdorimit<\/h4>\n<p>\nNe zbuluam se p\u00ebrdoruesit kishin leht\u00ebsi t\u00eb madhe p\u00ebr t'u nisur me BigQuery, pasi nuk k\u00ebrkonte instalim t\u00eb softuerit dhe p\u00ebrdoruesit mund t\u00eb hynin n\u00eb t\u00eb p\u00ebrmes nj\u00eb nd\u00ebrfaqeje t\u00eb kuptueshme n\u00eb internet. Megjithat\u00eb, p\u00ebrdoruesit duhej t\u00eb njiheshin me disa funksione t\u00eb GCP dhe konceptet e tij, duke p\u00ebrfshir\u00eb burime si projektet, grumbujt e dh\u00ebnash dhe tabelat. Ne zhvilluam materiale m\u00ebsimore dhe udh\u00ebzues p\u00ebr t\u00eb ndihmuar p\u00ebrdoruesit t\u00eb fillojn\u00eb pun\u00ebn. Me nj\u00eb kuptim basal, p\u00ebrdoruesit mund t\u00eb l\u00ebvizin leht\u00ebsisht n\u00ebp\u00ebr grumbujt e dh\u00ebnash, t\u00eb shohin skem\u00ebn dhe t\u00eb dh\u00ebnat e tabelave, t\u00eb kryejn\u00eb k\u00ebrkesa t\u00eb thjeshta dhe t\u00eb vizualizojn\u00eb rezultatet n\u00eb Data Studio.<\/p>\n<p>Q\u00ebllimi yn\u00eb p\u00ebr sa i p\u00ebrket futjes s\u00eb t\u00eb dh\u00ebnave n\u00eb BigQuery ishte t\u00eb sigurojm\u00eb ngarkim t\u00eb qet\u00eb t\u00eb grumbujve t\u00eb t\u00eb dh\u00ebnave HDFS ose GCS me nj\u00eb klikim t\u00eb vet\u00ebm. Ne shqyrtuam <noindex><a rel=\"nofollow\" href=\"https:\/\/cloud.google.com\/composer\/\">Cloud Composer<\/a><\/noindex> (Airflow i menaxhuar), por nuk arrit\u00ebm ta p\u00ebrdorim p\u00ebr shkak t\u00eb modelit ton\u00eb t\u00eb siguris\u00eb \"Domain Restricted Sharing\" (m\u00eb shum\u00eb p\u00ebr k\u00ebt\u00eb n\u00eb seksionin \"Menaxhimi i t\u00eb dh\u00ebnave\" m\u00eb posht\u00eb). Ne eksperimentuam me p\u00ebrdorimin e Sh\u00ebrbimit t\u00eb Transferimit t\u00eb t\u00eb Dh\u00ebnave Google (DTS) p\u00ebr organizimin e detyrave ngarkes\u00eb n\u00eb BigQuery. Nd\u00ebrkoh\u00eb q\u00eb DTS u konfigurua shpejt, nuk ishte fleksib\u00ebl p\u00ebr nd\u00ebrtimin e konvejer\u00ebve me var\u00ebsi. P\u00ebr versionin ton\u00eb alpha, krijuam nj\u00eb ambient t\u00eb vetin Apache Airflow n\u00eb GCE dhe e po p\u00ebrgatitim p\u00ebr t\u00eb punuar n\u00eb prodhim dhe p\u00ebr t\u00eb mb\u00ebshtetur m\u00eb shum\u00eb burime t\u00eb dh\u00ebnash, si Vertica.<\/p>\n<p>P\u00ebr t\u00eb transformuar t\u00eb dh\u00ebnat n\u00eb BigQuery, p\u00ebrdoruesit krijojn\u00eb konvejer\u00eb t\u00eb thjesht\u00eb t\u00eb t\u00eb dh\u00ebnave SQL, duke p\u00ebrdorur k\u00ebrkesa t\u00eb planifikuara. P\u00ebr konvejer\u00ebt kompleks\u00eb me shum\u00eb hapa me var\u00ebsi, planifikojm\u00eb t\u00eb p\u00ebrdorim ose infrastruktur\u00ebn ton\u00eb Airflow ose Cloud Composer s\u00eb bashku me <noindex><a rel=\"nofollow\" href=\"https:\/\/cloud.google.com\/dataflow\/\">Cloud Dataflow<\/a><\/noindex>.<\/p>\n<h4>Performanca<\/h4>\n<p>\nBigQuery \u00ebsht\u00eb krijuar p\u00ebr k\u00ebrkesa SQL si\u00e7 jan\u00eb ato me q\u00ebllim t\u00eb p\u00ebrgjithsh\u00ebm, t\u00eb cilat p\u00ebrpunojn\u00eb sasi t\u00eb m\u00ebdha t\u00eb dh\u00ebnash. Ai nuk \u00ebsht\u00eb i dizajnuar p\u00ebr k\u00ebrkesa me vones\u00eb t\u00eb ul\u00ebt, me kapacitet t\u00eb lart\u00eb kalimi, t\u00eb nevojshme p\u00ebr baza t\u00eb dh\u00ebnash transaksionale, ose p\u00ebr analiz\u00ebn e serive temporale me vones\u00eb t\u00eb ul\u00ebt. <noindex><a rel=\"nofollow\" href=\"https:\/\/druid.apache.org\/\">Apache Druid<\/a><\/noindex>. P\u00ebr k\u00ebrkesat analitike interaktive, p\u00ebrdoruesit tan\u00eb presin nj\u00eb koh\u00eb p\u00ebrgjigjeje m\u00eb pak se nj\u00eb minut\u00eb. Duhej ta projektin p\u00ebrdorimin e BigQuery n\u00eb m\u00ebnyr\u00eb q\u00eb t\u00eb p\u00ebrmbushim k\u00ebto pritshm\u00ebri. P\u00ebr t\u00eb siguruar nj\u00eb performanc\u00eb t\u00eb parashikueshme p\u00ebr p\u00ebrdoruesit tan\u00eb, ne p\u00ebrdor\u00ebm funksionalitetin e BigQuery, t\u00eb disponuesh\u00ebm p\u00ebr klient\u00ebt me pages\u00eb fikse, q\u00eb lejon pronar\u00ebt e projekteve t\u00eb rezervojn\u00eb slotet minimale p\u00ebr k\u00ebrkesat e tyre. <noindex><a rel=\"nofollow\" href=\"https:\/\/cloud.google.com\/bigquery\/docs\/slots\">Slot<\/a><\/noindex> BigQuery \u00ebsht\u00eb nj\u00eb nj\u00ebsi fuqie llogarit\u00ebse e nevojshme p\u00ebr t\u00eb ekzekutuar k\u00ebrkesat SQL. <\/p>\n<p>Kemi analizuar m\u00eb shum\u00eb se 800 k\u00ebrkesa, duke p\u00ebrpunuar rreth 1 TB t\u00eb dh\u00ebnash \u00e7do, dhe zbuluam se koha mesatare e ekzekutimit ishte 30 sekonda. M\u00ebsuam gjithashtu se performanca varet fort nga p\u00ebrdorimi i slots ton\u00eb n\u00eb projekte dhe detyra t\u00eb ndryshme. Duhet t\u00eb jemi t\u00eb qart\u00eb n\u00eb ndarjen e rezervave tona t\u00eb slots p\u00ebr prodhim dhe ad hoc, p\u00ebr t\u00eb mbajtur performanc\u00ebn p\u00ebr skenar\u00ebt e p\u00ebrdorimit t\u00eb prodhimit dhe analiz\u00ebn interaktive. Kjo ndikuar shum\u00eb n\u00eb dizajnin ton\u00eb p\u00ebr rezervimin e slots dhe hierarkin\u00eb e projekteve.<\/p>\n<p><i>P\u00ebr menaxhimin e t\u00eb dh\u00ebnave, funksionalitetin dhe koston e sistemeve, do t\u00eb flasim n\u00eb dit\u00ebt n\u00eb vijim n\u00eb pjes\u00ebn e dyt\u00eb t\u00eb p\u00ebrkthimit, nd\u00ebrsa tani ftojm\u00eb t\u00eb gjith\u00eb t\u00eb interesuarit p\u00ebr <noindex><a rel=\"nofollow\" href=\"https:\/\/otus.pw\/wDZQ\/\">nj\u00eb webinar t\u00eb drejtp\u00ebrdrejt falas<\/a><\/noindex>, ku do t\u00eb jet\u00eb e mundur t\u00eb informoheni n\u00eb detaje rreth kursit dhe t\u00eb b\u00ebni pyetje ekspertit ton\u00eb \u2014 Egor Mateshuk (Inxhinier i Dh\u00ebnave Senior, MaximaTelecom). <\/i><\/p>\n<p><\/p>\n<h2>Lexoni m\u00eb shum\u00eb:<\/h2>\n<p><\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/otus\/blog\/501380\/\">Data Build Tool ose \u00e7far\u00eb ka t\u00eb p\u00ebrbashk\u00ebt midis Magazin\u00ebs s\u00eb T\u00eb Dh\u00ebnave dhe Smoothie<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/otus\/blog\/502324\/\">P\u00ebrkufizimi i Delta Lake: zbatimi i detyruesh\u00ebm dhe evolucioni i skem\u00ebs<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/otus\/blog\/503132\/\">Apache Parquet me shpejt\u00ebsi t\u00eb lart\u00eb n\u00eb Python me Apache Arrow<\/a><\/noindex><\/li>\n<\/ul>\n<p>Burimi: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/otus\/blog\/513780\/\">habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u0440\u0438\u0432\u0435\u0442, \u0425\u0430\u0431\u0440! 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Pjesa 1 | ProHoster","description":"P\u00ebrsh\u00ebndetje, Habr! Tani n\u00eb OTUS \u00ebsht\u00eb e hapur regjistrimi p\u00ebr nj\u00eb grup t\u00eb ri t\u00eb kursit \"Data Engineer\". 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