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Getting Started with Starburst for Data Analysts

Unlock actionable real-time insights with Starburst Galaxy

$600

July 25 @ 9:00 am 5:00 pm UTC+5:30

About the event

Are you a data analyst, BI specialist, or data engineer looking to accelerate your data exploration and visualization capabilities? Join our hands-on session, Getting Started with Starburst for Data Analysts, and learn how to streamline data access, optimize queries, and drive smarter business decisions using Starburst Galaxy.

Why Attend?

In this power-packed hands-on session, you’ll:

  • Master federated queries across 50+ enterprise connectors to unify data effortlessly.
  • Learn how to query diverse file-based formats with Starburst Galaxy.
  • Dive into practical SQL techniques aligned with real-world use cases.
  • Optimize query performance with advanced SQL functions and best practices.
  • Develop complex analytical queries using rollups and windowing functions.

Secure your seat and boost your analytics with Starburst – the future of federated query engines.

Key Outcomes

By the end of this session, you will:

  • Be proficient in writing and optimizing federated queries
  • Understand how to leverage Starburst Galaxy for real-time analytics
  • Be equipped to enhance data quality and analytical speed
  • Confidently handle windowing and rollup functions in large-scale datasets

Prerequisites

  • Intermediate SQL knowledge
  • Familiarity with relational databases and data analysis tools

Target Audience

  • Data Analysts
  • Business Intelligence Specialists
  • Data Engineers
  • Data Scientists with analytical roles
Foundations
  • Starburst Overview
  • Starburst Web UI
  • Data Sources
  • Client Tools Integration
  • Starburst Architecture
  • Federated Querying
     
Best Practices
  • Using Approximations
  • Building Data Rollups and Cubes
  • Join Considerations
SQL Functions
  • Transforms and Aggregates
  • Limiting Results
  • Error Handling
  • Decisioning
Windowing
  • Windowing basics
  • RANK and row numbering
  • LAG and LEAD Functions
  • FIRST/LAST/NTH_VALUE
  • Sliding Windows using RANGE or ROWS

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