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

Acerca del autor

Benjamin Bengfort is a data scientist with a passion for massive machine learning involving gigantic natural language corpora, and has been leveraging that passion to develop a keen understanding of recommendation algorithms at Cobrain in Bethesda, MD where he serves as the Chief Data Scientist. With a professional background in military and intelligence, and an academic background in economics and computer science, he brings a unique set of skills and insights to his work. Ben believes that data is a currency that can pave the way to discovering insights and solve complex problems. He is also currently pursuing a PhD in Computer Science at the University of Maryland. Jenny Kim is an experienced data scientist who works in both commercial software efforts as well as in academia. She has significant experience in working with large scale data, machine learning, and Hadoop implementations in production and research environments. Jenny (with Benjamin Bengfort) built a large scale recommender system that used a web crawler to gather ontological information about apparel products and produce recommendations from transactions. Currently she teaches Introduction to Hadoop and Advanced Hadoop courses on Statistics.com.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

ThriftBooks is a fully independent seller of used books, having sold more than 160 million used and new books since we started in 2003. Each quality used book is sorted, graded, shelved and shipped by hand by our team of dedicated employees in our seven warehouses across the US. We have the best selection of books, in the right condition and format, at everyday low prices. We also have a dedicated, US-based Customer Service team, ranked in the top three by Newsweek for Best Customer Service in 2018 and 2019, so you can shop with confidence. We support and invest in our employees, appreciate and value our customers, and truly believe in the power of the written word to educate, energize, and engage readers of all ages and interests.

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

Thrift Books Global, LLC
18300 Cascade Ave S, Ste 150, Seattle, WA, 98188, U.S.A.

Condiciones de venta y env�o

Condiciones de venta

We guarantee the condition of every book as it's described
on the Abebooks website. If you're dissatisfied with your
purchase (Incorrect Book/Not as Described/Damaged) or if the
order hasn't arrived, you're eligible for a refund within 30
days of the estimated delivery date. If you've changed your
mind about a book that you've ordered, please use the "Ask
bookseller a question link to contact us" and we'll respond
as soon as possible.

Condiciones de env�o

All domestic Standard and Expedited shipments are distributed from our warehouses by OSM, then handed off to the USPS for final delivery.

2-Day Shipping is delivered by FedEx, which does not deliver to PO boxes.

International shipments are tendered to the local postal service in the destination country for final delivery – we do not use courier services for international deliveries.