Training: Data Exploration with SQL and NoSQL for AI

Level

Beginner

Duration

16h / 2 days

Date

Individually arranged

Price

Individually arranged

Training: Data Exploration with SQL and NoSQL for AI

Discover how to leverage SQL and NoSQL in data analysis for AI! This intensive training, combining workshops and theoretical sessions, focuses on techniques for extracting, processing, and analyzing data using both types of databases, laying the foundation for AI applications.

What will you learn?

  • How to work effectively with SQL and NoSQL databases, understanding their strengths and limitations
  • How to integrate SQL and NoSQL for comprehensive data analysis
  • Advanced data processing techniques in SQL and NoSQL to prepare data for AI analysis
  • How to solve real business problems using data processed for AI needs
Who is this training for?
  • logo infoshare This training is designed for data analysts, data engineers, developers, and anyone interested in applying SQL and NoSQL in AI-related projects.

Training Program

  1. Day 1: SQL for AI

  • Basics of SQL and relational databases
  • Overview of SQL syntax, queries, and data operations
  • Designing database schemas for data analysis
  • Advanced SQL techniques
  • Query optimization and indexing for large datasets
  • Data aggregation and window functions
  1. Day 2: NoSQL for AI

  • Introduction to NoSQL
  • Characteristics of NoSQL databases and their applications in AI
  • Working with document-oriented databases and data modeling for NoSQL
  • Data analysis with NoSQL
  • Techniques for extracting and processing data from NoSQL
  • Using NoSQL databases in data modeling for machine learning

Contact us

we will organize training for you tailored to your needs

Przemysław Wołosz

Key Account Manager

przemyslaw.wolosz@infoShareAcademy.com

    The controller of your personal data is InfoShare Academy Sp. z o.o. with its registered office in Gdańsk, al. Grunwaldzka 427B, 80-309 Gdańsk, KRS: 0000531749, NIP: 5842742121. Personal data are processed in accordance with information clause.