{"id":191126,"date":"2024-01-12T13:18:04","date_gmt":"2024-01-12T12:18:04","guid":{"rendered":"https:\/\/datascientest.com\/de\/?p=191126"},"modified":"2024-01-12T13:29:53","modified_gmt":"2024-01-12T12:29:53","slug":"apache-presto-alles-ueber-diese-sql-abfragemaschine","status":"publish","type":"post","link":"https:\/\/datascientest.com\/de\/apache-presto-alles-ueber-diese-sql-abfragemaschine","title":{"rendered":"Apache Presto: Alles \u00fcber diese SQL-Abfragemaschine"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"191126\" class=\"elementor elementor-191126\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-33709a0 e-flex e-con-boxed e-con\" data-id=\"33709a0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-882bbed elementor-widget elementor-widget-heading\" data-id=\"882bbed\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Die F\u00e4higkeit, gro\u00dfe Datenmengen effizient zu verwalten, ist zu einer unumg\u00e4nglichen Notwendigkeit geworden. Apache Presto ist eine verteilte SQL-Abfragemaschine, die f\u00fcr Hochgeschwindigkeitsleistung bei riesigen Datenmengen entwickelt wurde, um diese Herausforderung zu meistern.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bb3aae1 elementor-widget elementor-widget-text-editor\" data-id=\"bb3aae1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><strong>Apache Presto<\/strong> wurde urspr\u00fcnglich von Facebook entwickelt, um ihre eigenen Anforderungen an die Verarbeitung gro\u00dfer Datenmengen zu erf\u00fcllen.<\/p><p><strong>Apache Presto<\/strong> hat sich schnell zu einer branchenweit bevorzugten L\u00f6sung entwickelt, die bemerkenswerte Flexibilit\u00e4t und Effizienz bietet.<\/p><p>\u00a0<\/p><p>\ud83d\udca1 Auch interessant:<\/p><table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" data-sheets-root=\"1\"><colgroup><col width=\"1116\" \/><\/colgroup><tbody><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Apache Spark&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/de\/apache-spark\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/de\/apache-spark\" target=\"_blank\" rel=\"noopener\">Apache Spark<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Apache Kafka&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/de\/apache-kafka\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/de\/apache-kafka\" target=\"_blank\" rel=\"noopener\">Apache Kafka<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Apache Cassandra&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/de\/apache-cassandra-die-beliebteste-nosql-bdd\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/de\/apache-cassandra-die-beliebteste-nosql-bdd\" target=\"_blank\" rel=\"noopener\">Apache Cassandra<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Apache Schulung&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/de\/apache-schulung-wie-lerne-ich-hadoop-spark-und-cassandra\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/de\/apache-schulung-wie-lerne-ich-hadoop-spark-und-cassandra\" target=\"_blank\" rel=\"noopener\">Apache Schulung<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Apache Airflow&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/de\/apache-airflow-was-ist-das-und-wie-kann-man-es-nutzen\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/de\/apache-airflow-was-ist-das-und-wie-kann-man-es-nutzen\" target=\"_blank\" rel=\"noopener\">Apache Airflow<\/a><\/td><\/tr><\/tbody><\/table><p>\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c17cbb1 e-flex e-con-boxed e-con\" data-id=\"c17cbb1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7553588 elementor-widget elementor-widget-heading\" data-id=\"7553588\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Hauptmerkmale von Apache Presto<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-50aecbe elementor-widget elementor-widget-text-editor\" data-id=\"50aecbe\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Apache Presto<\/strong> bietet eine Reihe von Funktionen, die es <a href=\"https:\/\/datascientest.com\/de\/big-data-definition-technologien-anwendungen-weiterbildung\">von anderen Datenverarbeitungstechnologien unterscheidet<\/a> und es besonders geeignet f\u00fcr schnelle und effiziente Analysen gro\u00dfer Datenmengen macht.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-198d5a7 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"198d5a7\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/de\/weiterbildung-data-analyst\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Alles \u00fcber Apache Presto<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-adbdb81 e-flex e-con-boxed e-con\" data-id=\"adbdb81\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-7cc311f e-con-full e-flex e-con\" data-id=\"7cc311f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7856ca1 elementor-widget elementor-widget-image\" data-id=\"7856ca1\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image6.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-190a083 e-con-full e-flex e-con\" data-id=\"190a083\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-59bd1e7 elementor-widget elementor-widget-heading\" data-id=\"59bd1e7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Unterst\u00fctzung mehrerer Datenquellen<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fb8b297 elementor-widget elementor-widget-text-editor\" data-id=\"fb8b297\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Umfassende Konnektivit\u00e4t<\/strong><\/p><p><strong>Apache Presto<\/strong> kann sich mit verschiedenen Datenquellen verbinden, z. B. mit <a href=\"https:\/\/datascientest.com\/de\/hdfs-hadoop-distributed-file-system-was-ist-das\">verteilten Dateisystemen (wie HDFS),<\/a> <a href=\"https:\/\/datascientest.com\/de\/relationale-datenbanken\">relationalen Datenbanken<\/a> und sogar mit Cloud-Speicherdiensten. Diese F\u00e4higkeit erm\u00f6glicht es den Nutzern, Daten aus heterogenen Quellen abzufragen, ohne die Daten vorher verschieben oder umwandeln zu m\u00fcssen.<\/p><p><strong>Database Federation<\/strong><\/p><p>Mit dieser Funktion k\u00f6nnen Nutzer Abfragen, die mehrere<a href=\"https:\/\/datascientest.com\/de\/dbms-welche-tools-gibt-es\"> Datenquellen<\/a> betreffen, in einer einzigen SQL-Abfrage ausf\u00fchren, was die Analyse disparater Daten erheblich vereinfacht.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f8c2b03 e-flex e-con-boxed e-con\" data-id=\"f8c2b03\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-0ab4008 e-con-full e-flex e-con\" data-id=\"0ab4008\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d599d1a elementor-widget elementor-widget-image\" data-id=\"d599d1a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image1.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-dd98dc0 e-con-full e-flex e-con\" data-id=\"dd98dc0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4b24be8 elementor-widget elementor-widget-heading\" data-id=\"4b24be8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Leistung und Optimierung von Suchanfragen<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a950d87 elementor-widget elementor-widget-text-editor\" data-id=\"a950d87\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Schnelle Ausf\u00fchrung<\/strong><\/p><p>Entwickelt f\u00fcr eine hohe Abfrageleistung, selbst bei <a href=\"https:\/\/datascientest.com\/de\/dataset-definition\">sehr gro\u00dfen Datens\u00e4tzen<\/a>. Es verwendet ein In-Memory-Verarbeitungsmodell und parallelisiert Abfragen \u00fcber den Cluster, um die Antwortzeiten zu beschleunigen.<\/p><p><strong>Erweiterte Optimierungen<\/strong><\/p><p>Die Engine enth\u00e4lt ausgefeilte Optimierungen wie verteilte Abfrageplanung,<strong> Pr\u00e4dikat-Pushdown<\/strong> und andere Optimierungstechniken, um die Effizienz der Abfragen zu maximieren.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cdc9b3b e-flex e-con-boxed e-con\" data-id=\"cdc9b3b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-9befb92 e-con-full e-flex e-con\" data-id=\"9befb92\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4b5c15e elementor-widget elementor-widget-image\" data-id=\"4b5c15e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image7.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-773a774 e-con-full e-flex e-con\" data-id=\"773a774\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-86de337 elementor-widget elementor-widget-heading\" data-id=\"86de337\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Flexibilit\u00e4t und Skalierbarkeit<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-91c3fcc elementor-widget elementor-widget-text-editor\" data-id=\"91c3fcc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Horizontale Skalierbarkeit<\/strong><\/p><p><strong>Apache Presto<\/strong> kann leicht skaliert werden, um Laststeigerungen zu bew\u00e4ltigen, indem einfach mehr Knoten zum Cluster hinzugef\u00fcgt werden. Diese Eigenschaft macht es ideal f\u00fcr Umgebungen, in denen die Datenmengen und der Rechenbedarf schwanken k\u00f6nnen.<\/p><p><strong>Unterst\u00fctzung von Ad-hoc- und analytischen Abfragen.<\/strong><\/p><p>Flexibel in Bezug auf die Arten von Abfragen, die er ausf\u00fchren kann, von einfachen Ad-hoc-Abfragen bis hin zu komplexen Analysen, was ihn f\u00fcr eine breite Palette von analytischen Anwendungen n\u00fctzlich macht.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-17a76e0 e-flex e-con-boxed e-con\" data-id=\"17a76e0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-688c22d e-con-full e-flex e-con\" data-id=\"688c22d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-14f3c59 elementor-widget elementor-widget-image\" data-id=\"14f3c59\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image5.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3a15808 e-con-full e-flex e-con\" data-id=\"3a15808\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e9ed6d8 elementor-widget elementor-widget-heading\" data-id=\"e9ed6d8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">SQL-Unterst\u00fctzung und Erweiterungen<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f85ffe5 elementor-widget elementor-widget-text-editor\" data-id=\"f85ffe5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>SQL-Kompatibilit\u00e4t<\/strong><\/p><p>Es unterst\u00fctzt einen <a href=\"https:\/\/datascientest.com\/de\/sql-alles-uber-die-datenbanksprache\">Gro\u00dfteil des SQL-Standards,<\/a> einschlie\u00dflich komplexer Funktionen, <a href=\"https:\/\/datascientest.com\/de\/alles-uber-sql-joins-verstehen\">Joins<\/a>, Aggregationen und Unterabfragen, so dass es f\u00fcr diejenigen, die mit SQL vertraut sind, leicht zu erlernen ist.<\/p><p><strong>Erweiterungen und Anpassung<\/strong><\/p><p>Es bietet auch die M\u00f6glichkeit, seine F\u00e4higkeiten mit benutzerdefinierten Funktionen und Plug-ins zu erweitern, was eine fortgeschrittene Anpassung an spezifische Bed\u00fcrfnisse erm\u00f6glicht.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-415bff2 e-flex e-con-boxed e-con\" data-id=\"415bff2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-8787208 e-con-full e-flex e-con\" data-id=\"8787208\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f06cd70 elementor-widget elementor-widget-image\" data-id=\"f06cd70\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image10.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-35dc128 e-con-full e-flex e-con\" data-id=\"35dc128\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-302853e elementor-widget elementor-widget-heading\" data-id=\"302853e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Einfache Bedienung und Wartung<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e10285c elementor-widget elementor-widget-text-editor\" data-id=\"e10285c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Einfache Konfiguration<\/strong><\/p><p>Presto ist relativ einfach einzurichten und zu warten, mit einem Minimum an externen Abh\u00e4ngigkeiten. Diese einfache Konfiguration macht es f\u00fcr Teams mit begrenzten Ressourcen attraktiv.<\/p><p><strong>Aktive Community und Support<\/strong><\/p><p>Mit einer aktiven Open-Source-Community und wachsender Unterst\u00fctzung durch f\u00fchrende Technologieunternehmen profitiert Presto von einer stetigen Weiterentwicklung und einer starken Unterst\u00fctzung f\u00fcr die Nutzer.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a1d5fe5 e-flex e-con-boxed e-con\" data-id=\"a1d5fe5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-456323b elementor-widget elementor-widget-heading\" data-id=\"456323b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Vergleich von Apache Presto mit anderen Tools<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ccd5628 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"ccd5628\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/de\/weiterbildung-data-analyst\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Apache Presto lernen<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5856650 e-flex e-con-boxed e-con\" data-id=\"5856650\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-7240034 e-con-full e-flex e-con\" data-id=\"7240034\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-355abe8 elementor-widget elementor-widget-image\" data-id=\"355abe8\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image3.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-db64973 e-con-full e-flex e-con\" data-id=\"db64973\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2b6e9d8 elementor-widget elementor-widget-heading\" data-id=\"2b6e9d8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Apache Presto vs. Hive<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f122040 elementor-widget elementor-widget-text-editor\" data-id=\"f122040\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Leistung<\/strong><\/p><p>Apache Presto ist bei den meisten Abfragen im Allgemeinen schneller als Hive. Presto ist f\u00fcr schnelle Analysen und Ad-hoc-Abfragen gedacht, w\u00e4hrend <a href=\"https:\/\/datascientest.com\/de\/apache-hadoop-hive-sql-fuer-die-entscheidungsfindung\">Hive<\/a> besser f\u00fcr Aufgaben der Stapelverarbeitung von Daten geeignet ist.<\/p><p><strong>Modell der Verarbeitung<\/strong><\/p><p><a href=\"https:\/\/datascientest.com\/de\/mapreduce\">Hive verwendet MapReduce f\u00fcr die Stapelverarbeitung,<\/a> was bei einigen Abfragen langsamer sein kann. Presto hingegen verwendet ein speicherbasiertes Verarbeitungsmodell, was die Verarbeitung von Abfragen beschleunigt.<\/p><p><strong>SQL auf Hadoop<\/strong><\/p><p>W\u00e4hrend Hive eines der ersten Tools war, das das Schreiben von <strong>SQL-Abfragen auf Hadoop<\/strong> erm\u00f6glichte, bietet Presto einen moderneren Ansatz mit besserer Leistung.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-98b352c e-flex e-con-boxed e-con\" data-id=\"98b352c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-590fc68 e-con-full e-flex e-con\" data-id=\"590fc68\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5b524dd elementor-widget elementor-widget-image\" data-id=\"5b524dd\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image2.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-99ca053 e-con-full e-flex e-con\" data-id=\"99ca053\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-418d2d0 elementor-widget elementor-widget-heading\" data-id=\"418d2d0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Apache Presto vs. Apache Spark<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b92b6ac elementor-widget elementor-widget-text-editor\" data-id=\"b92b6ac\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Verarbeitung von Daten<\/strong><\/p><p>Spark ist haupts\u00e4chlich auf Stapelverarbeitung und speicherbasierte Berechnungen ausgelegt, w\u00e4hrend Presto f\u00fcr Ad-hoc-Abfragen in gro\u00dfen Datenbest\u00e4nden optimiert ist.<\/p><p><strong>\u00d6kosystem und Integration<\/strong><\/p><p>Spark ist Teil eines gr\u00f6\u00dferen \u00d6kosystems, zu dem auch Spark Streaming, MLlib f\u00fcr maschinelles Lernen und GraphX f\u00fcr die Verarbeitung von Graphen geh\u00f6ren. Presto ist eher auf die Ausf\u00fchrung von <strong>SQL-Abfragen spezialisiert.<\/strong><\/p><p><strong>Programmiersprachen<\/strong><\/p><p><a href=\"https:\/\/datascientest.com\/de\/apache-spark\">Apache Spark <\/a>unterst\u00fctzt mehrere Programmiersprachen (<a href=\"https:\/\/datascientest.com\/de\/scala-was-ist-diese-programmiersprache-und-wieso-ist-python-besser\">Scala,<\/a> Java, Python, R) und bietet damit mehr Flexibilit\u00e4t bei der Entwicklung von Anwendungen. <strong>Apache Presto<\/strong> konzentriert sich haupts\u00e4chlich auf SQL.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f3ae058 e-flex e-con-boxed e-con\" data-id=\"f3ae058\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f3b2527 elementor-widget elementor-widget-heading\" data-id=\"f3b2527\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Vor- und Nachteile<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c0c0b21 elementor-widget elementor-widget-html\" data-id=\"c0c0b21\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\n.tg  {border-collapse:collapse;border-spacing:0;}\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg .tg-0x09{background-color:#9b9b9b;text-align:left;vertical-align:top}\n.tg .tg-t724{background-color:#D9D9D9;font-family:Tahoma, Geneva, sans-serif !important;font-size:18px;font-weight:bold;\n  text-align:left;vertical-align:middle}\n.tg .tg-6qw1{background-color:#c0c0c0;text-align:center;vertical-align:top}\n.tg .tg-08l1{background-color:#F3F3F3;font-family:Tahoma, Geneva, sans-serif !important;font-size:18px;text-align:left;\n  vertical-align:top}\n<\/style>\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 700px\">\n<colgroup>\n<col style=\"width: 100px\">\n<col style=\"width: 300px\">\n<col style=\"width: 300px\">\n<\/colgroup>\n<thead>\n  <tr>\n    <th class=\"tg-0x09\"><\/th>\n    <th class=\"tg-6qw1\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image4.png\" width=\"30\" height=\"30\"><\/th>\n    <th class=\"tg-6qw1\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image8.png\" width=\"30\" height=\"30\"><\/th>\n  <\/tr>\n<\/thead>\n<tbody>\n  <tr>\n    <td class=\"tg-t724\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Presto<\/span><\/td>\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Schnelligkeit der Abfragen, Unterst\u00fctzung mehrerer Datenquellen und Benutzerfreundlichkeit f\u00fcr diejenigen, die mit SQL vertraut sind.<\/span><\/td>\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Weniger geeignet f\u00fcr Stapelverarbeitung und intensive Berechnungen.<\/span><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-t724\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Hive<\/span><\/td>\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Besser geeignet f\u00fcr Stapelverarbeitung und ETL-Aufgaben sowie weit verbreitet in der Industrie akzeptiert.<\/span><\/td>\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Langsamere Leistung f\u00fcr Ad-hoc-Abfragen.<\/span><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-t724\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Spark<\/span><\/td>\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Schnelle Stapelverarbeitung, Unterst\u00fctzung von Echtzeit-Streaming und Flexibilit\u00e4t mit mehreren Programmiersprachen.<\/span><\/td>\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Kann komplexer zu konfigurieren und zu optimieren sein, insbesondere f\u00fcr einfache SQL-Abfragen.<\/span><\/td>\n  <\/tr>\n<\/tbody>\n<\/table>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6c25336 e-flex e-con-boxed e-con\" data-id=\"6c25336\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0a373fa elementor-widget elementor-widget-heading\" data-id=\"0a373fa\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Fazit<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-37f6682 elementor-widget elementor-widget-text-editor\" data-id=\"37f6682\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Apache Presto<\/strong> zeichnet sich als schnelle und flexible verteilte SQL-Abfragemaschine aus, die sich ideal f\u00fcr die Ad-hoc-Analyse gro\u00dfer Datens\u00e4tze eignet. Seine F\u00e4higkeit, verschiedene Datenquellen abzufragen, und seine effiziente Architektur machen es zu einer <a href=\"https:\/\/datascientest.com\/de\/big-data-analyse-methoden-fuer-deine-projekte\">wertvollen Wahl im Big-Data-\u00d6kosystem.<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bbb9890 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"bbb9890\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/de\/weiterbildung-data-analyst\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Apache Presto lernen<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-67e247d elementor-widget elementor-widget-html\" data-id=\"67e247d\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">.\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{{\n    \"@type\": \"Frage\",\n    \"name\": \"Was ist Apache Presto?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Apache Presto ist eine verteilte SQL-Abfragemaschine, die f\u00fcr Hochgeschwindigkeitsleistungen bei riesigen Datenmengen entwickelt wurde, um diese Herausforderung zu meistern. Urspr\u00fcnglich von Facebook entwickelt, um ihre eigenen Anforderungen an die Verarbeitung gro\u00dfer Datenmengen zu erf\u00fcllen, hat sich Presto schnell zu einer branchenweit bevorzugten L\u00f6sung entwickelt, die bemerkenswerte Flexibilit\u00e4t und Effizienz bietet.\"\n    }\n  },{\n    \"@type\": \"Frage\",\n    \"name\": \"Hauptmerkmale von Apache Presto\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"\n      1. Unterst\u00fctzung f\u00fcr mehrere Datenquellen\n      2. Leistung und Optimierung von Abfragen\n      3. Flexibilit\u00e4t und Skalierbarkeit.\n      4. SQL-Unterst\u00fctzung und Erweiterungen.\n      5. 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Apache Presto wurde urspr\u00fcnglich von Facebook entwickelt, um ihre eigenen Anforderungen an die Verarbeitung gro\u00dfer Datenmengen zu erf\u00fcllen. Apache Presto hat sich schnell [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":191127,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2454],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Apache Presto: Alles \u00fcber diese SQL-Abfragemaschine<\/title>\n<meta name=\"description\" content=\"Wenn es um Apache Presto geht, solltest du unbedingt beachten, dass nur die wengisten der betroffenen Daten...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/de\/apache-presto-alles-ueber-diese-sql-abfragemaschine\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Apache Presto: Alles \u00fcber diese SQL-Abfragemaschine\" \/>\n<meta property=\"og:description\" content=\"Die F\u00e4higkeit, gro\u00dfe Datenmengen effizient zu verwalten, ist zu einer unumg\u00e4nglichen Notwendigkeit geworden. Apache Presto ist eine verteilte\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/de\/apache-presto-alles-ueber-diese-sql-abfragemaschine\" \/>\n<meta property=\"og:site_name\" content=\"Weiterbildung Data Science | DataScientest.com\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataScientestEN\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-12T12:18:04+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-12T12:29:53+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/de\/wp-content\/blogs.dir\/8\/files\/2024\/01\/Apache-Presto-1024x512-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"512\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Melanie\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta 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