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Last updated: October 1, 2025 at 02:11 PM
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SAP Data Analytics Summary

Internet Requirements for Proctored Exams

  • Smooth proctored exams require a good internet speed.
  • "Generally, it's recommended to have at least 2 Mbps download and upload speeds."

Technical Issues During Exams

  • Mic not working: Seek help or contact support immediately.
  • Software not launching: Inform proctors and seek assistance.
  • Internet disconnects: Reconnect as soon as possible.
  • Pet disturbance: "If your pet enters the room during an exam, notify the proctor."
  • Reconnecting after internet loss: Follow specific instructions given by the exam platform.

Devices for Proctored Exams

  • Tablets/Chromebooks: Check specific exam requirements for compatibility.
  • Mobile hotspot: Possible backup for unstable home internet connection.

Technical Queries

  • Technical requirements: Ensure your device meets specified standards.
  • Video lag: Proctors might notice, but notify them if necessary.
  • ID Verification issues: Ensure clear ID capture. Consider using a physical ID rather than a digital copy.
  • Camera movement requests: Compliance with proctor requests.
  • Interruptions during the exam: Ensure no one enters the room during testing.

Job Hunting Strategies

  • Resume tips: Highlight relevant skills and customize for each application.
  • Consider Helpdesk or Customer Support: Entry-level roles may offer good experience.
  • Networking: Attend industry events, connect with professionals on platforms like LinkedIn.
  • Consider other career paths: Military, warehousing, police work, or sales.

Data Engineering Tools for Analysis

  • Tools: Some enterprises use Azure Databricks for data integrations.
  • Data source: Handling mixed data from SAP and non-SAP sources can be challenging.
  • Data Modeling: Use Snowflake for modeling data instead of traditional SAP tools.
  • Data Orchestration: Consider using SAP Data Intelligence, Databricks, and Azure services for varied data sources.

Career Advice for Analysts

  • Business Value: Focus on delivering solutions and solving problems.
  • Technical vs. Business-facing: Determine if you prefer technical or business analyst roles.
  • Continuous Learning: Stay updated on AI, data trends, and industry developments.
  • Specializations: Consider specializing in a particular area like analytics engineering or data science.

Resume Feedback

  • Resume enhancement: Highlight big data projects and programming skills.
  • Experience summary: Detail ETL/ELT pipelines and data processing abilities.
  • Database and cloud skills: Mention experience with various systems and services.
  • Layout: Improve readability by adding space after each job listing.

Professional Growth

  • Validation Skills: Focus on validating data and outcomes.
  • Independence and Communication: Improve independence and ability to explain work concisely.
  • Company Data Familiarity: Know your organization's data sources and availability for better responses to requests.

This summary encompasses a range of topics from proctored exams to job hunting strategies and data engineering technologies, offering valuable insights and tips for individuals navigating the realms of SAP data analytics.

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