---
product_id: 31859993
title: "Data Analytics with Hadoop: An Introduction for Data Scientists"
price: "C$3856"
currency: NIO
in_stock: true
reviews_count: 9
url: https://www.desertcart.ni/products/31859993-data-analytics-with-hadoop-an-introduction-for-data-scientists
store_origin: NI
region: Nicaragua
---

# Data Analytics with Hadoop: An Introduction for Data Scientists

**Price:** C$3856
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Data Analytics with Hadoop: An Introduction for Data Scientists
- **How much does it cost?** C$3856 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.ni](https://www.desertcart.ni/products/31859993-data-analytics-with-hadoop-an-introduction-for-data-scientists)

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## Description

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical processes and data systems available to build and empower data products that can handle—and actually require—huge amounts of data. Understand core concepts behind Hadoop and cluster computing Use design patterns and parallel analytical algorithms to create distributed data analysis jobs Learn about data management, mining, and warehousing in a distributed context using Apache Hive and HBase Use Sqoop and Apache Flume to ingest data from relational databases Program complex Hadoop and Spark applications with Apache Pig and Spark DataFrames Perform machine learning techniques such as classification, clustering, and collaborative filtering with Spark’s MLlib

Review: Nice book to work with hadoop - Really nice textbook to work and learn hadoop systems and Mapreduce.
Review: Four Stars - Good book to start Big Data with.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #1,154,275 in Books ( See Top 100 in Books ) #71 in Computer Programming Structured Design #345 in Data Modeling & Design (Books) #5,783 in Computer Science (Books) |
| Customer Reviews | 4.2 out of 5 stars 35 Reviews |

## Images

![Data Analytics with Hadoop: An Introduction for Data Scientists - Image 1](https://m.media-amazon.com/images/I/91EKTZXvOQL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Nice book to work with hadoop
*by H***S on February 6, 2019*

Really nice textbook to work and learn hadoop systems and Mapreduce.

### ⭐⭐⭐⭐ Four Stars
*by K***K on February 14, 2018*

Good book to start Big Data with.

### ⭐⭐⭐⭐⭐ Five Stars
*by D***N on August 8, 2017*

Best buy!

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*Product available on Desertcart Nicaragua*
*Store origin: NI*
*Last updated: 2026-07-07*