Big Data Analyst: Optimization

Course overview

Participants will acquire skills in efficient information management and the optimization of Big Data analyses, including database programming and dashboard creation. Efficient information management for Big Data Analyst Skills for Big Data Analyst Optimization Store data in a structured manner and develop efficient retrieval strategies Understand the fundamentals of relational and non-relational databases SQL for Data Analysis and Database Queries Formulate complex SQL queries to analyze large datasets Efficiently link data through joins, subqueries, and aggregations Create Interactive Dashboards with Power BI Import data sources and design interactive reports Utilize DAX functions for calculated fields and dynamic analyses Statistical Methods for Data Analysis Use pattern recognition and trend analyses for optimization Employ descriptive statistics for informed decision-making Automation with Database Programming Develop stored procedures to automate data analyses Implement stable transaction control and error handling Big Data Analyst Skills for Big Data Analyst Optimization - Efficient Data Processing Extract, transform, and clean data from various sources Implement optimized ETL processes for high-performance analyses and reports

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Wiesbaden · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Dresden · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Leipzig · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Laatzen bei Hannover · Hybrid Learning