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Transform from traditional BI to cloud. Accelerate migration to Quicksight, Looker, or PowerBI.
Modular and secure generative AI accelerator for LLM applications – offers flexibility, data protection, and integration.
Amazon QuickSight Workshop for the Next Generation of Data Professionals
27 Feb 2023
2 min read
Wavicle Data Solutions conducted an Amazon QuickSight Workshop at Karpagam College of Engineering in Coimbatore, India, where we delivered a presentation to 62 final-year students from the Computer Science and Engineering (Cybersecurity) department. The workshop included an Amazon QuickSight presentation and a hands-on session for students to build a sample dashboard.
The following team members delivered the workshop:
- Venkatesa Prasannaa Selvaraj, Director – Data Analytics
- Abinaya Premnath, Lead EDI Analyst
- Subhashri Nataraj, BI Engineer
- Praveen Kumar, BI Engineer
Below are the topics we covered:
- Introduction to Wavicle
- Overview of Wavicle and the areas of focus and achievements
- Walkthrough of various technologies and business solutions we provide to our clients
- Types of projects we handle and business problems we solve across the competencies
Business Intelligence and Cloud Computing
- Introduction to business intelligence and the value it brings to business users.
- Introduction to a cloud-based platform and its crucial role in data handling.
Amazon QuickSight and Use Case Demo
- Foundational concepts of Amazon QuickSight reporting tool, its dynamic features, multiple dataset handling, and their connection.
- We demonstrated a sample sales dashboard with various charts and filters.
Hands-on building QuickSight dashboard
- The students were provided a sample superstore dataset and were coached to build the dashboard.
The Wavicle team had a great time presenting and enjoyed the opportunity to show off our deep AWS & Data Analytics skills highlighting our AWS partnership.
WIT Leader
Data Team
Builds secure, governed data platforms that power analytics and feed AI models with clean, real-time, and high-quality data.
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