Data Munging with Hadoop (Addison-Wesley Data & Analytics Series)

Found 26 related Books

You are about to access Data Munging with Hadoop (Addison-Wesley Data & Analytics Series).Access Speed for this file: 23148 KB/Sec


Free Membership Registration to Download

Our library can be accessed from certain countries only.

Please, see if you are eligible to read or download Data Munging with Hadoop (Addison-Wesley Data & Analytics Series) by creating an account.

You must create a free account in order to read or download this book.

Data Munging with Hadoop (Addison-Wesley Data & Analytics Series) by Ofer Mendelevitch.pdf

Uploaded : 2018/05/25 

Last checked : 52 Minutes ago!

User rating : 5 / 4
 Downloads : 5560



Descriptions : B The Example Rich Hands On Guide to Data Munging with Apache Hadoop SUP TM SUP B P style MARGIN x P P style MARGIN x Data scientists spend much of their time munging data handling day to day tasks such as data cleansing normalization aggregation sampling and transformation These tasks are both critical and surprisingly interesting Most important they deepen your understanding of your datas structure and limitations crucial insight for improving accuracy and mitigating risk in any analytical project P P style MARGIN x P P style MARGIN x Now two leading Hortonworks data scientists Ofer Mendelevitch and Casey Stella bring together powerfulractical insights for effective Hadoop based data munging of large datasets Drawing on extensive experience with advanced analytics the authors offer realistic examples that address the common issues youre most likely to face They describe each task in detailresenting example code based on widely used tools such as Pig Hive and Spark P P style MARGIN x P P style MARGIN x This concise hands on eBook is valuable for every data scientist data engineer and architect who wants to master data munging not just in theory but in practice with the fields latformHadoop P P style MARGIN x P P style MARGIN x Coverage includes P UL LI A framework for understanding the various types of data quality checks including cell based rules distribution validation and outlier analysis LI Assessing tradeoffs in common approaches to imputing missing values LI Implementing quality checks with Pig or Hive UDFs LI Transforming raw data into feature matrix format for machine learning algorithms LI Choosing features and instances LI Implementing text features via bag of words and NLP techniques LI Handling time series data via frequency or time domain methods LI Manipulating feature values to prepare for modeling LI UL P style MARGIN x I Data Munging with Hadoop I is part of a larger forthcoming work entitled I Data Science I I Using Hadoop I To be notified when the larger work is available register your purchase of I Data Munging with Hadoop I at informit com register and check the box I would like to hear from InformIT and its family of brands about products and special offers P

9182 Users Online

9182 Users Online