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🎓 DB II - Data Warehouse <br>
📅 02.12.2021 <br>
👤 Lisa Kletsko, Nico Holzhäuser, <br>
<span style="padding-left:29px"></span> Patrick Müller, Kristin Agne & <br>
<span style="padding-left:29px"></span> Henning Sextro
</div>
<div id="persons" class="persons">
<script>document.write(nicoIcon)</script>
</div>
<!-- Slides -->
<div class="slides" id="organisatorisches">
<!-- Introduction -->
<section>
<h2> ❤️ - Willkommen zu unserer <br>Präsentation über</h2>
<p>
<img style="width: 70%" src="./ressources/images/tableaulogo_highres.png">
</p>
Shortlink der Präsentation <br> <a href="https://s.p4ddy.com/tableau">https://s.p4ddy.com/tableau</a>
</section>
<!-- Dividing -->
<section>
<h3>Sprecher</h3>
<p>
↖ Jedes Symbol steht für einen anderen Sprecher
<ul style="list-style-type: none">
<li>
<script>document.write(lisaIcon)</script> → Lisa Kletsko
</li>
<li>
<script>document.write(nicoIcon)</script> → Nico Holzhäuser
</li>
<li>
<script>document.write(patrickIcon)</script> → Patrick Müller
</li>
<li>
<script>document.write(krissiIcon)</script> → Kristin Agne
</li>
<li>
<script>document.write(henningIcon)</script> → Henning Sextro
</li>
</ul>
</p>
</section>
<!-- ToC -->
<section>
<h2 style="padding-top: 1%">Inhalt</h2>
<ol type="1" style="font-size:60%;">
<li class="li__main--topic">Die Firma "Tableau"</li>
<li class="li__main--topic">BI und Data Warehouse</li>
<li class="li__main--topic">ETL Prozesse</li>
<li class="li__main--topic">Reporting</li>
<li class="li__main--topic">Data Mining</li>
<li class="li__main--topic">Big Data</li>
<ol>
<li>Was ist Big Data</li>
<li>Wie ist die Firma im Bezug auf Big Data aufgestellt</li>
</ol>
<li class="li__main--topic">Analysten</li>
<ol>
<li>Was sagen Analytiker zu "TABLEAU"</li>
</ol>
</ol>
</section>
</div>
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<div class="slides" id="firma">
<section>
<section>
<h1>Die Firma <img src="ressources/images/tableaulogo_highres.png" style="width: 50%"></h1>
</section>
<section>
<h2>Gründung von <img src="ressources/images/tableaulogo_highres.png" style="width: 20%"></h2>
<ul>
<li>Hersteller von Visualisierungs-Software</li>
<li>Informatikprojekt an der Stanford University</li>
<li>gegründet 2003 in Seattle</li>
<li>2019 Übernahme durch Salesforce</li>
<div style="display: flex; justify-content: space-evenly">
<div style="display: flex; flex-direction: column">
<p class="caption">
<img src="ressources/images/stolte.jpg" style="width: 100%">
<br><span style="text-align: center">Chris Stolte (Technischer Berater)</span>
<br> Source : <a href="https://www.tableau.com/de-de/why-tableau/what-is-tableau">https://www.tableau.com</a>
</p>
</div>
<div style="display: flex; flex-direction: column">
<p class="caption">
<img src="ressources/images/hanrahan.jpg" style="width: 100%">
<br><span style="text-align: center">Pat Hanrahan (Chief Scientist)</span>
<br> Source : <a href="https://www.tableau.com/de-de/why-tableau/what-is-tableau">https://www.tableau.com</a>
</p>
</div>
<div style="display: flex; flex-direction: column">
<p class="caption">
<img src="ressources/images/chabot.jpg" style="width: 100%">
<br><span style="text-align: center">Christian Chabot (Vorsitzender)</span>
<br> Source : <a href="https://www.tableau.com/de-de/why-tableau/what-is-tableau">https://www.tableau.com</a>
</p>
</div>
</div>
</ul>
</section>
<section>
<h2><img src="ressources/images/tableaulogo_highres.png" style="width: 20%"> heute</h2>
<ul>
<li>ca. 3000 Mitarbeiter</li>
<li>mehr als 39.000 Unternehmen nutzen Produkte</li>
</ul>
<p>
<img src="ressources/images/linkedIn.png" style="width: 10%; margin-right: 40px">
<img src="ressources/images/wwf.png" style="width: 10%; margin-right: 40px">
<img src="ressources/images/lufthansa.jpg" style="width: 10%; margin-right: 40px">
<img src="ressources/images/siemens.png" style="width: 10%;">
</p>
</section>
</section>
</div>
<div class="slides" id="biDataWarehouse">
<section>
<section>
<h1>BI und Data Warehouse</h1>
</section>
<section>
<h2><b>B</b>usiness <b>I</b>ntelligence</h2>
<ul>
<li>Obergebriff für eine Kombination aus</li>
<ul>
<li>Business Analytics</li>
<li>Data-Mining</li>
<li>Datenvisualisierung</li>
<li>Datentools</li>
<li>Dateninfrastruktur</li>
<li>Best Practices</li>
</ul>
<br>→ mehr datengesteuerte Entscheidungen treffen
<br>→ vollständige Sicht auf Unternehmensdaten
</ul>
</section>
<section>
<h2>Data Warehouse</h2>
<ul>
<li>bei Tableau eng mit BI verzahnt</li>
<li>Data Warehouse als Addon für Tableau Server</li>
</ul>
<br> → Grundlage für alle weiteren Tableau Anwendungen bieten <b>EXTERNE</b> Datenquellen</li>
<p class="caption">
<img src="https://cdnl.tblsft.com/sites/default/files/pages/data-source-list_2.png"
style="width: 40%">
<br> Source : <a href="https://www.tableau.com/de-de/products/server">https://www.tableau.com/de-de/products/server</a>
</p>
</section>
</section>
</div>
<div class="slides" id="ETLProzess">
<section>
<section>
<h1>ETL Prozess</h1>
<p class="caption">
<img src="https://miro.medium.com/max/2400/0*yrE1Ic_-ewXUa05h" style="width: 38%;">
<br> Source : <a href="https://medium.com/sciforce/what-is-etl-1df5305bb341">https://medium.com/sciforce/what-is-etl-1df5305bb341</a>
</p>
</section>
<section>
<br> <br>
<h1>ETL Prozesse - TABLEAU</h1>
<p class="caption">
<img src="https://cdns.tblsft.com/sites/default/files/pages/data-flow.jpg" style="width: 50%;">
<br> Source : <a href="https://www.tableau.com/de-de/products/prep">https://www.tableau.com/de-de/products/prep</a>
</p>
</section>
<section>
<h1>TABLEAU Prep</h1>
<p class="caption">
<img src="https://cdnl.tblsft.com/sites/default/files/pages/complete_picture_of_data_full.png"
style="width: 45%">
<br> Source : <a href="https://www.tableau.com/de-de/products/prep">https://www.tableau.com/de-de/products/prep</a>
</p>
</section>
<section>
<h1>Tableau Prep</h1>
Mit TABLEAU Prep können Daten für die Analyse kombiniert, formatiert und aufbereiten werden. <br>
<ul>
<li>Eigentlicher ETL Prozess ist integriert</li>
<li>Viele mögliche Datenquellen konfigurierbar</li>
<li>Desktop Client, der unterbrechnugsfreies Arbeiten zwischen Web und PC ermöglicht</li>
<li>Einheitliche Schemata für bestimmte Datenbestände</li>
<ol>
<li>Schemata bestehen aus vielen verschiedenen Datenquellen und vereinen diese</li>
<li>Ein Schema kann Unternehmensweit geteilt werden</li>
<li>Wird auf dem Server ausgeführt</li>
</ol>
</ul>
</section>
<section>
<h1>ETL - Overlay</h1>
<p class="caption">
<img src="https://cdns.tblsft.com/sites/default/files/pages/stay_in_the_flow_cropped2.png"
style="width: 50%">
<br> Source : <a href="https://www.tableau.com/de-de/products/prep">https://www.tableau.com/de-de/products/prep</a>
</p>
</section>
<section>
<h1>Datenquellen</h1>
<p class="caption">
<img src="https://cdns.tblsft.com/sites/default/files/pages/prep_0.png" style="width: 50%">
<br> Source : <a href="https://www.tableau.com/de-de/products/prep">https://www.tableau.com/de-de/products/prep</a>
</p>
</section>
<section>
<br>
<h1>Vereinheitlichung</h1>
<p class="caption">
<img src="https://cdnl.tblsft.com/sites/default/files/pages/smart-gif_cropped.gif"
style="width: 45%">
<br> Source : <a href="https://www.tableau.com/de-de/products/prep">https://www.tableau.com/de-de/products/prep</a>
</p>
</section>
</section>
</div>
<div class="slides" id="Reporting">
<!-- Patricks section -->
<!-- Quellen:
https://www.educba.com/tableau-reporting/
https://www.educba.com/tableau-reporting-tool/
https://help.tableau.com/current/pro/desktop/en-us/cubes.htm
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<section>
<section>
<h1>Reporting / OLAP</h1>
</section>
<section>
<h2>Reporting-Produkte</h2>
<ul>
<li>Tableau Desktop</li>
<li>Tableau Public</li>
<li>Tableau Server</li>
<li>Tableau Online</li>
<li>Tableau Reader</li>
</ul>
<aside class="notes">
<ul>
<li>Desktop - Reports erstellen</li>
<li>Public - Reports öffentlich teilen</li>
<li>Server - Report-Server</li>
<li>Online - PaaS-Report-Server</li>
<li>Reader - Reports ansehen</li>
</ul>
</aside>
</section>
<section>
<h1>Reporting / OLAP</h1>
<p class="caption">
<img src="ressources/images/tableau_dashboard_example.png"
style="width: 50%">
<br> Source : <a href="https://interworks.com/blog/dyu/2016/10/05/scaling-tableau-dashboards-high-res-monitors">https://interworks.com/blog/dyu/2016/10/05/scaling-tableau-dashboards-high-res-monitors</a>
</p>
</section>
<section>
<h2>Datenquellen</h2>
<ul>
<li>Excel</li>
<li>Textdateien</li>
<li>PDF-Dateien</li>
<li>Datenbanken</li>
<li>Data Warehouses / Data Marts</li>
<li>Unstrukturierte Daten</li>
</ul>
</section>
<section>
<h2>OLAP</h2>
<ul>
<li>Oracle Essbase</li>
<li>Teradata OLAP</li>
<li>Microsoft Analysis Services</li>
<li>SAP NetWeaver Business Warehouse</li>
<li>Microsoft PowerPivot</li>
<li>Salesforce CRM</li>
</ul>
</section>
</section>
</div>
<div class="slides" id="DataMining">
<section>
<section>
<h1>Data Mining</h1>
</section>
<section>
Tableau hat keine eigenen Lösungen um Data-Mining umzusetzen</ul>
</section>
</section>
</div>
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<div class="slides" id="Big Data">
<section>
<section>
<h1>Wie geht Tableau mit Big Data um?</h1>
</section>
<section>
<h1>Big Data</h1>
<ul class="bigdata__ul">
<li><b>Tableaus Maxime:</b> <br> "[..] unser Ziel, den Benutzern dabei zu helfen, ihre Daten sichtbar und verständlich zu machen.
[...] <br> Wissensarbeiter aller Qualifikationsstufen [sollen] die Möglichkeit haben, auf ihre Daten zuzugreifen,
sie zu analysieren und Einblicke zu bekommen, von überall aus."</li>
<li><b>Datenkonnektoren:</b> <br> "Tableau unterstützt gegenwärtig mehr als 75 native Datenkonnektoren sowie zahlreiche weitere Quellen [...]"</li>
<li><b>Mögliche Schnittstellen:</b> <br> SQL-basierte Anschlüsse, NoSQL-basierte Anschlüsse, ODBC, Webdaten-Konnektoren (JSON, Web-Dienste, REST-API</li>
<li><b>Merkmale von Tableau:</b> <br> Hyper-Daten-Engine, Hybride Datenarchitektur, VizQLTM</li>
<li><b>Quelle: </b> <br> <a href="https://www.tableau.com/sites/default/files/2021-02/Tableau%20big%20data%20overview_%20whitepaper_de-DE.pdf">
Tableau und Big-Data ein Überblick
</a></li>
</ul>
</section>
<section>
<h1>Subscription</h1>
<p class="caption">
<img src="ressources/images/tableau-viewer_subscription.png"
style="width: 50%">
<br> Source : <a href="https://www.tableau.com/sites/default/files/tableau-viewer_subscription.png">https://www.tableau.com/sites/default/files/tableau-viewer_subscription.png</a>
</p>
</section>
<section>
<br>
<h1>Subscription</h1>
<p class="caption">
<img src="ressources/images/amazon-bigdata-tableau.png"
style="width: 55%">
<br> Source : <a href="https://www.tableau.com/de-de/learn/webinars/webinar-explore-big-data-analytics-amazon-redshift">https://www.tableau.com/de-de/learn/webinars/webinar-explore-big-data-analytics-amazon-redshift</a>
</p>
</section>
<section>
<br>
<h1>Subscription</h1>
<p class="caption">
<img src="ressources/images/netflix-bigdata-tableau.png"
style="width: 55%">
<br> Source : <a href="https://www.tableau.com/about/blog/2017/1/tableau-cloud-netflix-original-64442">https://www.tableau.com/about/blog/2017/1/tableau-cloud-netflix-original-64442</a>
</p>
<img src="">
</section>
</section>
</div>
<div class="slides" id="Analysten">
<section>
<section>
<h1>Analysten</h1>
<section>
<div style="display: flex; justify-content: space-evenly;padding-left: 10%">
<div style="display: flex; flex-direction: column">
<p class="caption">
<img src="ressources/images/barc.png" style="width: 110%">
<br> Source : <a href="https://www.board.com/de/learn/board-digital-talks-im-gespraech-mit-christian-fuchs-barc">https://www.board.com</a>
</p>
</div>
<div style="display: flex; flex-direction: column">
<p class="caption">
<img src="ressources/images/gartner.png" style="width: 55%">
<br> Source : <a href="https://de.wikipedia.org/wiki/Datei:Gartner_logo.svg">https://www.wikipedia.org</a>
</p>
</div>
</div>
</section>
</section>
<section>
<br><br>
<h1>Gartner Magic Quadrant</h1>
<img style="width: 30%;"src="ressources/images/gartner_mq.png">
</section>
<section>
<br>
<br>
<h1>Zusammenfassung Gartner</h1>
<h3>Vorteile</h3>
<ul>
<li>Intuitive Bedienung</li>
<li>Begeisterte Kunden </li>
<li>Chancen durch Salesforce Integration</li>
</ul>
<h3>Nachteile</h3>
<ul>
<li>Architektur nicht "cloud-native"</li>
<li>Hochpreisig</li>
<li>Salesforce Integration ist noch nicht vollständig</li>
</ul>
</section>
<section>
<h1>Barc Score</h1>
<img src="ressources/images/barc_score.png">
</section>
<section>
<br>
<h1>Zusammenfassung BARC</h1>
<h3>Vorteile</h3>
<ul>
<li>Intuitive Bedienung</li>
<li>Interaktive & ansprechende Dashboards</li>
<li>Empfehlungen bei Datenaufbereitung</li>
<li>Machine Learning mit "Tableau Einstein Discovery"</li>
</ul>
<h3>Nachteile</h3>
<ul>
<li>Nicht alle Datenaufbereitungsfunktionen können bei Live Abfragen genutzt werden</li>
<li>Nicht alle Funktionen über die Weboberfläche verfügbar</li>
<li>"Formatted Reporting" fehlen Funktionen gegenüber der Konkurrenz</li>
</ul>
</section>
</section>
</div>
<div class="slides" id="endslide">
<section>
<h1>Vielen Dank für eure <br> Aufmerksamkeit! ❤️️</h1>
<br>
<p>Schaut auch gerne in unseren <a target="_blank"
href="https://github.com/Unk3wn/Datenbanken_II_DataWarehouse">Presentation
- Code</a> und <a target="_blank" href="https://revealjs.com/">reveal.js</a></p>
</section>
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