0 Your Cart

Data Analytics with Spark Using Python

Author: Aven Jeffrey

Aven Jeffrey (Author)
Visit Cb-India's Author Page
Books by him and info about author and more.

Are you a Author?
Learn more here


Hover over an image to enlarge

MRP: MRP: $5.74
Net Price: $4.88
You save: $0.86 (15%)
In stock
Leadtime to ship in days (default): Usually ships in 20 days
Price in points: 365 points
Reward points: 4 points


Spark is at the heart of today’s big data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks. In this guide, big data expert Jeffrey aven covers all students need to know to leverage Spark, together with its extensions, subprojects and wider ecosystem. Aven combines a language-agnostic introduction to foundational Spark concepts with extensive programming examples utilizing the popular and intuitive pyspark development environment. This guided focus on Python makes it widely accessible to students at various levels of experience those with little Hadoop or Spark experience. Aven’s broad coverage ranges from basic to advanced Spark programming and Spark SQL to machine learning. Students will learn how to efficiently manage all forms of data with Spark: Streaming, structured, semi-structured and unstructured. Throughout, concise topic overviews quickly get you up to speed and extensive hands-on exercises prepare you to solve real problems coverage includes: Understand spark’s evolving role in the big data and Hadoop ecosystems create Spark clusters using various deployment modes control and optimize the operation of Spark clusters and applications master Spark core RDD API programming techniques extend, accelerate and optimize Spark routines with advanced API platform constructs, including shared variables, RDD storage and partitioning efficiently integrate Spark with both SQL and nonrelational data stores perform stream processing and messaging with Spark streaming and Apache Kafka implement predictive modeling with sparkr and Spark

Table of Contents: mllibpart I: Spark foundations
Chapter 1 introducing big data, Hadoop and Spark
Chapter 2 deploying Spark
Chapter 3 Understanding the Spark cluster architecture
Chapter 4 Learning Spark programming basics part II: Beyond the basics
Chapter 5 Advanced programming using the Spark core API
Chapter 6 SQL and nose programming with Spark
Chapter 7 stream processing and messaging using Spark
Chapter 7 stream processing and messaging using Spark.


Aven Jeffrey
Condition Type:
Country Origin:
Edition :
Leadtime to ship in days (default):
Usually ships in 20 days
Pearson India



No posts found

Possibly you may be interested
Fast and high quality delivery

Our company makes delivery all over the country

Quality assurance and service

We offer only those goods, in which quality we are sure