Practical Data Science With Hadoop And Spark


Practical Data Science With Hadoop And Spark
Author: Ofer Mendelevitch
Publisher: Addison-Wesley Professional
ISBN: 9780134024141
Size: 76.96 MB
Format: PDF, ePub
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Practical Data Science With Hadoop And Spark

Practical Data Science With Hadoop And Spark by Ofer Mendelevitch, Practical Data Science With Hadoop And Spark Books available in PDF, EPUB, Mobi Format. Download Practical Data Science With Hadoop And Spark books, The Complete Guide to Data Science with Hadoop For Technical Professionals, Businesspeople, and Students Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop(r) and Spark is your complete guide to doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials. The authors introduce the essentials of data science and the modern Hadoop ecosystem, explaining how Hadoop and Spark have evolved into an effective platform for solving data science problems at scale. In addition to comprehensive application coverage, the authors also provide useful guidance on the important steps of data ingestion, data munging, and visualization. Once the groundwork is in place, the authors focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP). This guide provides a strong technical foundation for those who want to do practical data science, and also presents business-driven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives. Learn What data science is, how it has evolved, and how to plan a data science career How data volume, variety, and velocity shape data science use cases Hadoop and its ecosystem, including HDFS, MapReduce, YARN, and Spark Data importation with Hive and Spark Data quality, preprocessing, preparation, and modeling Visualization: surfacing insights from huge data sets Machine learning: classification, regression, clustering, and anomaly detection Algorithms and Hadoop tools for predictive modeling Cluster analysis and similarity functions Large-scale anomaly detection NLP: applying data science to human language Normal 0 false false false EN-US X-NONE X-NONE "


Practical Data Science with Hadoop and Spark
Language: en
Pages: 400
Authors: Ofer Mendelevitch, Casey Stella, Doug Eadline
Categories: Computers
Type: BOOK - Published: 2016-09-20 - Publisher: Addison-Wesley Professional
The Complete Guide to Data Science with Hadoop For Technical Professionals, Businesspeople, and Students Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop(r) and Spark is your complete guide to doing just that. Drawing on immense experience with
Data Science für Dummies
Language: de
Pages: 382
Authors: Lillian Pierson
Categories: Mathematics
Type: BOOK - Published: 2016-04-22 - Publisher: John Wiley & Sons
Daten, Daten, Daten? Sie haben schon Kenntnisse in Excel und Statistik, wissen aber noch nicht, wie all die Datensätze helfen sollen, bessere Entscheidungen zu treffen? Von Lillian Pierson bekommen Sie das dafür notwendige Handwerkszeug: Bauen Sie Ihre Kenntnisse in Statistik, Programmierung und Visualisierung aus. Nutzen Sie Python, R, SQL, Excel
Data Analytics with Hadoop
Language: en
Pages: 288
Authors: Benjamin Bengfort, Jenny Kim
Categories: Computers
Type: BOOK - Published: 2016-06 - Publisher: "O'Reilly Media, Inc."
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
Practical Big Data Analytics
Language: en
Pages: 412
Authors: Nataraj Dasgupta
Categories: Computers
Type: BOOK - Published: 2018-01-15 - Publisher: Packt Publishing Ltd
Get command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R, Python, and Spark for
Big Data Analytics with Hadoop 3
Language: en
Pages: 482
Authors: Sridhar Alla
Categories: Computers
Type: BOOK - Published: 2018-05-31 - Publisher: Packt Publishing Ltd
Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 Key Features Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache Flink Exploit big data
Apache Spark for Data Science Cookbook
Language: en
Pages: 392
Authors: Padma Priya Chitturi
Categories: Computers
Type: BOOK - Published: 2016-12-22 - Publisher: Packt Publishing Ltd
Over insightful 90 recipes to get lightning-fast analytics with Apache Spark About This Book Use Apache Spark for data processing with these hands-on recipes Implement end-to-end, large-scale data analysis better than ever before Work with powerful libraries such as MLLib, SciPy, NumPy, and Pandas to gain insights from your data
Big Data Analytics
Language: en
Pages: 326
Authors: Venkat Ankam
Categories: Computers
Type: BOOK - Published: 2016-09-28 - Publisher: Packt Publishing Ltd
A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools.
Hadoop and Spark Fundamentals
Language: en
Pages:
Authors: Doug Eadline
Categories: Computers
Type: BOOK - Published: 2018 - Publisher:
"Hadoop and Spark Fundamentals LiveLessons provides 9+ hours of video introduction to the Apache Hadoop Big Data ecosystem. The tutorial includes background information and explains the core components of Hadoop, including Hadoop Distributed File Systems (HDFS), MapReduce, the YARN resource manager, and YARN Frameworks. In addition, it demonstrates how to
Datenintensive Anwendungen designen
Language: de
Pages: 652
Authors: Martin Kleppmann
Categories: Computers
Type: BOOK - Published: 2018-11-26 - Publisher: O'Reilly
Daten stehen heute im Mittelpunkt vieler Herausforderungen im Systemdesign. Dabei sind komplexe Fragen wie Skalierbarkeit, Konsistenz, Zuverlässigkeit, Effizienz und Wartbarkeit zu klären. Darüber hinaus verfügen wir über eine überwältigende Vielfalt an Tools, einschließlich relationaler Datenbanken, NoSQL-Datenspeicher, Stream-und Batchprocessing und Message Broker. Aber was verbirgt sich hinter diesen Schlagworten? Und was
Scala and Spark for Big Data Analytics
Language: en
Pages: 786
Authors: Md. Rezaul Karim, Sridhar Alla
Categories: Computers
Type: BOOK - Published: 2017-07-25 - Publisher: Packt Publishing Ltd
Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye! About This Book Learn Scala's sophisticated type system that combines Functional Programming and object-oriented concepts Work on a wide array of applications, from simple batch jobs to stream processing and machine