Big Data: Processing unstructured and complex data — expert reference

Introduction

What this guide covers

An analytical and engineering-level compendium on the storage, ingestion, mathematical modeling and distributed processing of massive non-tabular data (text, images, graphs and high-frequency time series).

Overview

Topics covered

• Introduction
• Processing of Unstructured and Complex Data in Big Data
• Taxonomy and Storage of Complex Data
• Formal Definition of Unstructured Data
• Textual and Documentary Data
• Continuous Media Signals and Data

Related concepts

Main connections

• Linear algebra & matrices
• SQL & relational data modeling
• Vector embeddings & latent space
• Preprocessing pipelines & transform recipes
• Variance & standard deviation
• Principal component analysis (PCA)

Compatible notation

Mathematical sample in LaTeX

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