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Big Data Analytics

You're reading from   Big Data Analytics Real time analytics using Apache Spark and Hadoop

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781785884696
Length 326 pages
Edition 1st Edition
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Author (1):
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Venkat Ankam Venkat Ankam
Author Profile Icon Venkat Ankam
Venkat Ankam
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Table of Contents (12) Chapters Close

Preface 1. Big Data Analytics at a 10,000-Foot View 2. Getting Started with Apache Hadoop and Apache Spark FREE CHAPTER 3. Deep Dive into Apache Spark 4. Big Data Analytics with Spark SQL, DataFrames, and Datasets 5. Real-Time Analytics with Spark Streaming and Structured Streaming 6. Notebooks and Dataflows with Spark and Hadoop 7. Machine Learning with Spark and Hadoop 8. Building Recommendation Systems with Spark and Mahout 9. Graph Analytics with GraphX 10. Interactive Analytics with SparkR Index

Real-life use cases

Let's take a look at different kinds of use cases for Big Data analytics. Broadly, Big Data analytics use cases are classified into the following five categories:

  • Customer analytics: Data-driven customer insights are necessary to deepen relationships and improve revenue.
  • Operational analytics: Performance and high service quality are the keys to maintaining customers in any industry, from manufacturing to health services.
  • Data-driven products and services: New products and services that align with growing business demands.
  • Enterprise Data Warehouse (EDW) optimization: Early data adopters have warehouse architectures that are 20 years old. Businesses modernize EDW architectures in order to handle the data deluge.
  • Domain-specific solutions: Domain-specific solutions provide businesses with an effective way to implement new features or adhere to industry compliance.

The following table shows you typical use cases of Big Data analytics:

Problem class

Use cases

Data analytics or data science?

Customer analytics

A 360-degree view of the customer

Data analytics and data science

Call center analytics

Data analytics and data science

Sentiment analytics

Data science

Recommendation engine (for example, the next best action)

Data science

Operational analytics

Log analytics

Data analytics

Call center analytics

Data analytics

Unstructured data management

Data analytics

Document management

Data analytics

Network analytics

Data analytics and data science

Preventive maintenance

Data science

Geospatial data management

Data analytics and data science

IOT Analytics

Data analytics and data science

Data-driven products and services

Metadata management

Data analytics

Operational data services

Data analytics

Data/Big Data environments

Data analytics

Data marketplaces

Data analytics

Third-party data management

Data analytics

EDW optimization

Data warehouse offload

Data analytics

Structured Big Data lake

Data analytics

Licensing cost mitigation

Data analytics

Cloud data architectures

Data analytics

Software assessments and migrations

Data analytics

Domain-specific solutions

Fraud and compliance

Data analytics and data science

Industry-specific domain models

Data analytics

Data sourcing and integration

Data analytics

Metrics and reporting solutions

Data analytics

Turnkey warehousing solutions

Data analytics

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