Was ist das eigentlich? Cyberrisiken verständlich erklärt

Es wird viel über Cyberrisiken gesprochen. Oftmals fehlt aber das grundsätzliche Verständnis, was Cyberrisiken überhaupt sind. Ohne diese zu verstehen, lässt sich aber auch kein Versicherungsschutz gestalten.

Beinahe alle Aktivitäten des täglichen Lebens können heute über das Internet abgewickelt werden. Online-Shopping und Online-Banking sind im Alltag angekommen. Diese Entwicklung trifft längst nicht nur auf Privatleute, sondern auch auf Firmen zu. Das Schlagwort Industrie 4.0 verheißt bereits eine zunehmende Vernetzung diverser geschäftlicher Vorgänge über das Internet.

Anbieter von Cyberversicherungen für kleinere und mittelständische Unternehmen (KMU) haben Versicherungen die Erfahrung gemacht, dass trotz dieser eindeutigen Entwicklung Cyberrisiken immer noch unterschätzt werden, da sie als etwas Abstraktes wahrgenommen werden. Für KMU kann dies ein gefährlicher Trugschluss sein, da gerade hier Cyberattacken existenzbedrohende Ausmaße annehmen können. So wird noch häufig gefragt, was Cyberrisiken eigentlich sind. Diese Frage ist mehr als verständlich, denn ohne (Cyber-)Risiken bestünde auch kein Bedarf für eine (Cyber-)Versicherung.

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Hortonworks Hadoop-PR000007 : Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer) Practice Tests

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Exam Number : Hadoop-PR000007
Exam Name : Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer)
Vendor Name : Hortonworks
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Hadoop-PR000007 test Format | Hadoop-PR000007 Course Contents | Hadoop-PR000007 Course Outline | Hadoop-PR000007 test Syllabus | Hadoop-PR000007 test Objectives

Exam Details for Hadoop-PR000007 Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer):

Number of Questions: The Hadoop-PR000007 test typically consists of 50-60 multiple-choice questions.

Time Limit: The test has a time limit of 2 hours (120 minutes).

Course Outline:
The Hadoop-PR000007 certification test focuses on assessing the knowledge and skills required to develop and work with Apache Hadoop 2.0, specifically focusing on Pig and Hive for data processing and analytics. The course outline covers the following key topics:

1. Introduction to Apache Hadoop:
- Overview of Hadoop ecosystem and its components
- Hadoop architecture and distributed file system (HDFS)
- MapReduce and YARN frameworks
- Hadoop cluster setup and configuration

2. Apache Pig:
- Introduction to Pig and Pig Latin scripting language
- Loading and storing data using Pig
- Transforming and manipulating data using Pig Latin operations
- User-defined functions (UDFs) in Pig
- Pig optimization techniques and performance tuning

3. Apache Hive:
- Introduction to Hive and HiveQL query language
- Creating and managing tables in Hive
- Data manipulation and querying with HiveQL
- Partitioning and bucketing in Hive
- Hive optimization techniques and performance tuning

4. Data Processing with Pig and Hive:
- Integrating Pig and Hive with Hadoop ecosystem components
- Using Pig and Hive for data transformations and analytics
- Joining and aggregating data in Pig and Hive
- Handling complex data types and nested structures
- Debugging and troubleshooting Pig and Hive scripts

Exam Objectives:
The Hadoop-PR000007 test aims to assess the following objectives:

1. Understanding of Apache Hadoop architecture and its key components.
2. Proficiency in using Pig for data loading, transformation, and analysis.
3. Knowledge of Hive and its capabilities for data querying and management.
4. Competence in integrating Pig and Hive with other Hadoop ecosystem components.
5. Familiarity with performance optimization and debugging techniques in Pig and Hive.

Exam Syllabus:
The Hadoop-PR000007 test covers the following syllabus:

1. Introduction to Apache Hadoop
- Overview of Hadoop ecosystem and its components
- Hadoop architecture and distributed file system (HDFS)
- MapReduce and YARN frameworks
- Hadoop cluster setup and configuration

2. Apache Pig
- Introduction to Pig and Pig Latin scripting language
- Loading and storing data using Pig
- Transforming and manipulating data using Pig Latin operations
- User-defined functions (UDFs) in Pig
- Pig optimization techniques and performance tuning

3. Apache Hive
- Introduction to Hive and HiveQL query language
- Creating and managing tables in Hive
- Data manipulation and querying with HiveQL
- Partitioning and bucketing in Hive
- Hive optimization techniques and performance tuning

4. Data Processing with Pig and Hive
- Integrating Pig and Hive with Hadoop ecosystem components
- Using Pig and Hive for data transformations and analytics
- Joining and aggregating data in Pig and Hive
- Handling complex data types and nested structures
- Debugging and troubleshooting Pig and Hive scripts

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Warum sind Cyberrisiken so schwer greifbar?

Als mehr oder weniger neuartiges Phänomen stellen Cyberrisiken Unternehmen und Versicherer vor besondere Herausforderungen. Nicht nur die neuen Schadenszenarien sind abstrakter oder noch nicht bekannt. Häufig sind immaterielle Werte durch Cyberrisiken in Gefahr. Diese wertvollen Vermögensgegenstände sind schwer bewertbar.

Obwohl die Gefahr durchaus wahrgenommen wird, unterschätzen viele Firmen ihr eigenes Risiko. Dies liegt unter anderem auch an den Veröffentlichungen zu Cyberrisiken. In der Presse finden sich unzählige Berichte von Cyberattacken auf namhafte und große Unternehmen. Den Weg in die Presse finden eben nur die spektakulären Fälle. Die dort genannten Schadenszenarien werden dann für das eigene Unternehmen als unrealistisch eingestuft. Die für die KMU nicht minder gefährlichen Cyberattacken werden nur selten publiziert.

Aufgrund der fehlenden öffentlichen Meldungen von Sicherheitsvorfällen an Sicherheitsbehörden und wegen der fehlenden Presseberichte fällt es schwer, Fakten und Zahlen zur Risikolage zu erheben. Aber ohne diese Grundlage fällt es schwer, in entsprechende Sicherheitsmaßnahmen zu investieren.

Erklärungsleitfaden anhand eines Ursache-Wirkungs-Modells

Häufig nähert man sich dem Thema Cyberrisiko anlass- oder eventbezogen, also wenn sich neue Schadenszenarien wie die weltweite WannaCry-Attacke entwickeln. Häufig wird auch akteursgebunden beleuchtet, wer Angreifer oder Opfer sein kann. Dadurch begrenzt man sich bei dem Thema häufig zu sehr nur auf die Cyberkriminalität. Um dem Thema Cyberrisiko jedoch gerecht zu werden, müssen auch weitere Ursachen hinzugezogen werden.

Mit einer Kategorisierung kann das Thema ganzheitlich und nachvollziehbar strukturiert werden. Ebenso hilft eine solche Kategorisierung dabei, eine Abgrenzung vorzunehmen, für welche Gefahren Versicherungsschutz über eine etwaige Cyberversicherung besteht und für welche nicht.

Die Ursachen sind dabei die Risiken, während finanzielle bzw. nicht finanzielle Verluste die Wirkungen sind. Cyberrisiken werden demnach in zwei Hauptursachen eingeteilt. Auf der einen Seite sind die nicht kriminellen Ursachen und auf der anderen Seite die kriminellen Ursachen zu nennen. Beide Ursachen können dabei in drei Untergruppen unterteilt werden.

Nicht kriminelle Ursachen

Höhere Gewalt

Häufig hat man bei dem Thema Cyberrisiko nur die kriminellen Ursachen vor Augen. Aber auch höhere Gewalt kann zu einem empfindlichen Datenverlust führen oder zumindest die Verfügbarkeit von Daten einschränken, indem Rechenzentren durch Naturkatastrophen wie beispielsweise Überschwemmungen oder Erdbeben zerstört werden. Ebenso sind Stromausfälle denkbar.

Menschliches Versagen/Fehlverhalten

Als Cyberrisiken sind auch unbeabsichtigtes und menschliches Fehlverhalten denkbar. Hierunter könnte das versehentliche Veröffentlichen von sensiblen Informationen fallen. Möglich sind eine falsche Adressierung, Wahl einer falschen Faxnummer oder das Hochladen sensibler Daten auf einen öffentlichen Bereich der Homepage.

Technisches Versagen

Auch Hardwaredefekte können zu einem herben Datenverlust führen. Neben einem Überhitzen von Rechnern sind Kurzschlüsse in Systemtechnik oder sogenannte Headcrashes von Festplatten denkbare Szenarien.

Kriminelle Ursachen

Hackerangriffe

Hackerangriffe oder Cyberattacken sind in der Regel die Szenarien, die die Presse dominieren. Häufig wird von spektakulären Datendiebstählen auf große Firmen oder von weltweiten Angriffen mit sogenannten Kryptotrojanern berichtet. Opfer kann am Ende aber jeder werden. Ziele, Methoden und auch das Interesse sind vielfältig. Neben dem finanziellen Interesse können Hackerangriffe auch zur Spionage oder Sabotage eingesetzt werden. Mögliche Hackermethoden sind unter anderem: Social Engineering, Trojaner, DoS-Attacken oder Viren.

Physischer Angriff

Die Zielsetzung eines physischen Angriffs ist ähnlich dem eines Hackerangriffs. Dabei wird nicht auf die Tools eines Hackerangriffs zurückgegriffen, sondern durch das physische Eindringen in Unternehmensgebäude das Ziel erreicht. Häufig sind es Mitarbeiter, die vertrauliche Informationen stehlen, da sie bereits den notwendigen Zugang zu den Daten besitzen.

Erpressung

Obwohl die Erpressung aufgrund der eingesetzten Methoden auch als Hackerangriff gewertet werden könnte, ergibt eine Differenzierung Sinn. Erpressungsfälle durch Kryptotrojaner sind eines der häufigsten Schadenszenarien für kleinere und mittelständische Unternehmen. Außerdem sind auch Erpressungsfälle denkbar, bei denen sensible Daten gestohlen wurden und ein Lösegeld gefordert wird, damit sie nicht veröffentlicht oder weiterverkauft werden.

Ihre Cyberversicherung sollte zumindet folgende Schäden abdecken:

Cyber-Kosten:

Soforthilfe und Forensik-Kosten (Kosten der Ursachenermittlung, Benachrichtigungskosten und Callcenter-Leistung)
Krisenkommunikation / PR-Maßnahmen
Systemverbesserungen nach einer Cyber-Attacke
Aufwendungen vor Eintritt des Versicherungsfalls

Cyber-Drittschäden (Haftpflicht):

Befriedigung oder Abwehr von Ansprüchen Dritter
Rechtswidrige elektronische Kommunikation
Ansprüche der E-Payment-Serviceprovider
Vertragsstrafe wegen der Verletzung von Geheimhaltungspflichten und Datenschutzvereinbarungen
Vertragliche Schadenersatzansprüche
Vertragliche Haftpflicht bei Datenverarbeitung durch Dritte
Rechtsverteidigungskosten

Cyber-Eigenschäden:

Betriebsunterbrechung
Betriebsunterbrechung durch Ausfall von Dienstleister (optional)
Mehrkosten
Wiederherstellung von Daten (auch Entfernen der Schadsoftware)
Cyber-Diebstahl: elektronischer Zahlungsverkehr, fehlerhafter Versand von Waren, Telefon-Mehrkosten/erhöhte Nutzungsentgelte
Cyber-Erpressung
Entschädigung mit Strafcharakter/Bußgeld
Ersatz-IT-Hardware
Cyber-Betrug

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Hortonworks Hadoop-PR000007 : Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer) Practice Tests

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Cyber-Kosten:

Cyber-Drittschäden (Haftpflicht):

Cyber-Eigenschäden:

Latest 2025 Updated Hortonworks Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer) Syllabus
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Practice Tests and Free VCE Software - Questions Updated on Daily Basis
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