Lead of BI & Data Management
Middle+ BI\Data Engineer
Implementation of BI solutions and data-driven approach in companies in Ukraine and abroad
Description of the need for transitioning to data-driven approaches using BI tools.Comparison of the use of BI technologies in Ukrainian and foreign companies. Attitude to BI solutions. The main challenges encountered by professionals in this area. The importance of a data scientist for a timely response to events and business activities. Tasks of a BI specialist as a pioneer in a team, the pitfall of quick decisions.
Introduction to DBT: A tool for organizing and transforming data.
Learn how DBT can help you build better data pipelines and save money.
In this presentation, you will gain insights into the benefits of using DBT for analysts and other data team members involved in decision-making processes. You will also explore the capabilities of DBT and its distinctions from other data-related tools like Oracle Data Integrator or Looker. The presentation will include some examples of effective implementation of DBT in various projects and companies. This presentation will be interesting for anyone who wants to learn more about DBT and how it can help them build better data pipelines and analytics.
Introduction to PySpark
As the amount of data continues to grow, encountering situations where data becomes too vast to handle on a single machine is increasingly common. Fortunately, such technologies as Apache Spark, Hadoop, and others have been developed to address this exact challenge. The capabilities of these systems can be tapped into directly from Python using PySpark. In this guide, you will learn what PySpark is, why it is used, who uses it, and what everybody should know before diving into PySpark. This includes understanding concepts like Big Data, Hadoop, and MapReduce, as well as an overview of SparkContext, SparkSession, and SQLContext.