Data analysis

Data analysis is the art and science of selecting, normalizing, and modeling data to derive useful information, typically for businesses. This generally involves querying data to identify trends and measure performance.

The discipline of data analysis overlaps significantly with data engineering, data science, and business intelligence. However, data analysis focuses on telling stories through data through reports and and visualizations.

Deeper Knowledge on Data Analysis

Apache Spark

A data processing engine for batch processing, stream processing, and machine learning

Big Data

Challenges related to data variety, velocity, and volume

Data Engineering

Engineering approaches to data management

Data Lakes

Centralized repositories of raw data from a wide range of sources

Data Lakehouses

A combination of data lakes and data warehouses

Data Science

The scientific method applied to data analysis

Data Products

Ways of making data available

Data Teams

The make up and measures of effective data teams

Data Visualizations

Visualizations that generate insights

Data warehouses

Data warehouses: Architecture, data flow, and related topics

DORA's Four Key Metrics

The four key metrics for software development team performance, as identified by DevOps Research and Assessment (DORA)

DevOps Research and Assessment (DORA)

A research program at Google Cloud, notable for the State of DevOps reports

Online Analytical Processing (OLAP)

A technique to create views and calculations from multi-dimensional data

SPACE Framework

SPACE Framework to Measure Developer Productivity: Satisfaction, Performance, Activity, Communication

Statistics

The analysis of numerical data

Broader Topics Related to Data Analysis

Business Intelligence

Methods to bridge the gap between data and business

Data Teams

The make up and measures of effective data teams

Statistics

The analysis of numerical data

Data Analysis Knowledge Graph