Tag: Data Engineering

All the articles with the tag "Data Engineering".

• Understanding the Differences Between Parquet, Avro, JSON, and CSV

  9 Feb, 2025

  When working with data, choosing the right file format can significantly impact performance, storage efficiency, and ease of use. In this post, we will compare four widely used data formats: Parquet,

• What Does an Exploratory Data Analysis (EDA) Evaluate?

  18 Jan, 2025

  An Exploratory Data Analysis (EDA) is a critical step in the data analysis process that focuses on evaluating and examining data to uncover its main characteristics. It is performed before delving

• Root Cause Analysis (RCA) for Data

  2 Jul, 2024

  Introduction In the realm of data management and analysis, problems can range from data quality issues to processing errors and performance bottlenecks. Identifying the root cause of these issues is

• Understanding Data Layout, Files, and Tree Indexes: An Overview

  1 Jul, 2024

  In this post, we'll explore several fundamental concepts related to data storage and indexing: Data Layout, Files, Tree Indexes, and B+ Trees. Understanding these concepts is crucial for anyone

• Effective Knowledge Transfer of Data: Key Elements

  29 Jun, 2024

  Transferring knowledge, especially when it involves data, is a critical proces. Especially between consultants. Whether you're transitioning to a new team, it's crucial to get this process right. Here

• Building a Lucrative Business Model in the Data Economy

  2 Nov, 2023

  Building a Lucrative Business Model in the Data Economy Introduction: In today's data-driven world, information is akin to a gold mine. However, to fully capitalize on this valuable resource, one must

• Principle of Data Wrangling

  10 Oct, 2023

  Data Wrangling involves the process of cleaning and organizing data before any analysis takes place. It typically consumes between 50% and 80% of an analyst's time. Factors to consider include time,

• Kleppmann - Designing Data Intensive Applications

  17 Oct, 2022

  A data-intensive application is typically built from standard building blocks that provide commonly needed functionality. For example, many applications need to: • Store data so that they, or another