Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis - Image 1

£41.75

Apress Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis

Name: Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis
Brand: Apress
Price: 41.75 GBP
Availability: InStock

Data Mining

About as cheap as it gets. The only time it was cheaper was 3 months ago.

£42 today · all-time low £42 (Apr 2026) · usually £42

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 68 days · 68 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 68 days • 1 price levels

Days at Price

Price Analysis

Most common price: £42 (68 days, 100.0%)

Price range: £42 - £42

Price levels: 1 different prices over 68 days

Description

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert. Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics. This book provides an introduction to Spark and related big-data technologies. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy professionals who prefer learning a new technology from a consolidated source instead of spending countless hours on the Internet trying to pick bits and pieces from different sources. The book also provides a chapter on Scala, the hottest functional programming language, and the program that underlies Spark. You’ll learn the basics of functional programming in Scala, so that you can write Spark applications in it. What's more, Big Data Analytics with Spark provides an introduction to other big data technologies thatare commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to know is programming in any language. There is a critical shortage of people with big data expertise, so companies are willing to pay top dollar for people with skills in areas like Spark and Scala. So reading this book and absorbing its principles will provide a boost—possibly a big boost—to your career.

Product Specifications

Brand: Apress
Format: paperback
ASIN: 1484209656
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 30 December 2015
Listed Since: 02 January 2015

Barcode

No barcode data available

Apress Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis

About as cheap as it gets. The only time it was cheaper was 3 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing

Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library

Learn PySpark: Build Python-based Machine Learning and Deep Learning Models

Apache Spark 2.x Machine Learning Cookbook: Over 100 recipes to simplify machine learning model implementations with Spark

Spark in Action, Second Edition

Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications

Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming

Advanced Analytics with Spark, 2e: Patterns for Learning from Data at Scale

The Azure Data Lakehouse Toolkit: Building and Scaling Data Lakehouses on Azure with Delta Lake, Apache Spark, Databricks, Synapse Analytics, and Snowflake

An Architecture for Fast and General Data Processing on Large Clusters (ACM Books)

Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch

Big Data Science & Analytics: A Hands-On Approach

Scala Programming Projects: Build real world projects using popular Scala frameworks like Play, Akka, and Spark

Large Scale Machine Learning with Python: Learn to build powerful machine learning models quickly and deploy large-scale predictive applications

Frontiers of Multimedia Research (ACM Books)

Big Data Management And Analytics: 1 (World Scientific Series on Future Computing Paradigms and Applications)

Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice

Programming Scala: Scalability = Functional Programming + Objects

Building High Integrity Applications with SPARK

Beginning Azure Synapse Analytics: Transition from Data Warehouse to Data Lakehouse

Big Data Architect's Handbook: A guide to building proficiency in tools and systems used by leading big data experts

Scala for Machine Learning - Second Edition: Build systems for data processing, machine learning, and deep learning

High-Performance Big-Data Analytics: Computing Systems and Approaches (Computer Communications and Networks)

Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications