<?xml version="1.0" encoding="utf-8" ?>
<!DOCTYPE FL_Course SYSTEM "https://www.flane.de/dtd/fl_course095.dtd"><?xml-stylesheet type="text/xsl" href="https://portal.flane.ch/css/xml-course.xsl"?><course productid="35100" language="de" source="https://portal.flane.ch/swisscom/xml-course/amazon-awsdd-dafa" lastchanged="2025-09-12T12:43:22+02:00" parent="https://portal.flane.ch/swisscom/xml-courses"><title>AWS Discovery Day: Data Analytics Fundamentals on AWS</title><productcode>AWSDD-DAFA</productcode><vendorcode>AW</vendorcode><vendorname>Amazon Web Services</vendorname><fullproductcode>AW-AWSDD-DAFA</fullproductcode><version>1.0</version><objective>&lt;p&gt;During this event, you will learn how to:
&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Identify the characteristics of data analysis solutions and which ones indicate such a solution may be required&lt;/li&gt;&lt;li&gt;Define types of data, including structured, semi-structured, and unstructured&lt;/li&gt;&lt;li&gt;Define data storage types such as data lakes, AWS Lake Formation, data warehouses, and the Amazon Simple Storage Service (Amazon S3)&lt;/li&gt;&lt;li&gt;Analyze batch and stream processing to understand characteristics and differences&lt;/li&gt;&lt;li&gt;Define how different solutions for data streaming including Amazon Kinesis are used to process streaming data&lt;/li&gt;&lt;li&gt;Analyze the characteristics of different storage systems for source data&lt;/li&gt;&lt;li&gt;Analyze the characteristics of online transaction processing (OLTP) and online analytical processing (OLAP) systems and their impact on the organization of data within these systems&lt;/li&gt;&lt;li&gt;Analyze the differences between row-based and columnar data storage methods&lt;/li&gt;&lt;/ul&gt;</objective><audience>&lt;ul&gt;
&lt;li&gt;Data architects&lt;/li&gt;&lt;li&gt;Data scientists&lt;/li&gt;&lt;li&gt;Data analysts&lt;/li&gt;&lt;/ul&gt;</audience><objective_plain>During this event, you will learn how to:



- Identify the characteristics of data analysis solutions and which ones indicate such a solution may be required
- Define types of data, including structured, semi-structured, and unstructured
- Define data storage types such as data lakes, AWS Lake Formation, data warehouses, and the Amazon Simple Storage Service (Amazon S3)
- Analyze batch and stream processing to understand characteristics and differences
- Define how different solutions for data streaming including Amazon Kinesis are used to process streaming data
- Analyze the characteristics of different storage systems for source data
- Analyze the characteristics of online transaction processing (OLTP) and online analytical processing (OLAP) systems and their impact on the organization of data within these systems
- Analyze the differences between row-based and columnar data storage methods</objective_plain><audience_plain>- Data architects
- Data scientists
- Data analysts</audience_plain><duration unit="d" days="0">1.5 Stunden</duration><pricelist/><miles/></course>