| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910554846703321 |
|
|
Titolo |
Advances in remote sensing for natural resource monitoring. / / Prem C. Pandey, Laxmi K. Sharma |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Hoboken, New Jersey ; ; Sussex, England : , : Wiley-Blackwell, , [2021] |
|
©2021 |
|
|
|
|
|
|
|
|
|
ISBN |
|
1-119-61603-4 |
1-119-61602-6 |
1-119-61601-8 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (531 pages) : illustrations |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Natural resources - Management |
Natural resources |
Electronic books. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910795325303321 |
|
|
Autore |
Karambelkar Hrishikesh Vijay |
|
|
Titolo |
Apache Hadoop 3 quick start guide : learn about big data processing and analytics / / Hrishikesh Vijay Karambelkar |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
London, England : , : Packt Publishing, Limited, , [2018] |
|
©2018 |
|
|
|
|
|
|
|
|
|
Edizione |
[First edition] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (220 pages) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Cloud computing |
Electronic data processing - Distributed processing - Management |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
|
|
|
|
|
Sommario/riassunto |
|
A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem Key Features Set up, configure and get started with Hadoop to get useful insights from large data sets Work with the different components of Hadoop such as MapReduce, HDFS and YARN Learn about the new features introduced in Hadoop 3 Book Description Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics |
|
|
|
|
|
|
|
|
|
|
|
|
|
using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster. What you will learn Store and analyze data at scale using HDFS, MapReduce and YARN Install and configure Hadoop 3 in different modes Use Yarn effectively to run different applications on Hadoop based platform Understand and monitor how Hadoop cluster is managed Consume streaming data using Storm, and then analyze it using Spark Explore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and Kafka Who this book is for Aspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage. |
|
|
|
|
|
|
3. |
Record Nr. |
UNINA9910846983303321 |
|
|
Autore |
Schacht Diana D |
|
|
Titolo |
ERiK-Methodological Report III : Conceptualisation and Design of the ERiK-Surveys 2022 / / Diana D. Schacht, Jakob J. Gilg, Benjamin Gedon, Martin Brusis, Janette Buchmann, Doris Drexl, Tony Hoang, Alexandra Jähnert, Susanne Kuger, Magdalena Molina-Ramirez, Michael Müller, Melina Preuß, Susanne Rahmann, Lisa Ulrich, Felix Wenger |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Bielefeld, : wbv Publikation, 2023 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
|
|
Edizione |
[1st ed.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (72 p.) |
|
|
|
|
|
|
Soggetti |
|
early childhood education; education; educational research; educational study; empirical survey; field study; quality development; sampling design; survey methodology; technical report; target population; sampling frame; contacting; survey design; survey instruments |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
1 Preface 2 Introduction 3 Target Populations 3.1 Target Population of Directors of Day-Care Centres 3.2 Target Population of Pedagogical |
|
|
|
|
|
|
|
|
|
|
|
Staff in Day-Care Centres 3.3 Target Population of Family Day-Care Workers 3.4 Target Population of Youth Welfare Offices 3.5 Target Population of Providers of Childcare 3.6 Target Population of Children in Day-Care 4 Sampling Frames 4.1 Sampling Frame of Directors of and Pedagogical Staff in Day-Care Centres 4.2 Sampling Frame of Family Day-Care Workers 4.3 Sampling Frame of Youth Welfare Offices 4.4 Sampling Frame of Providers of Childcare 4.5 Sampling Frame of Children in Day-Care 5 Sampling Designs 5.1 Sampling Design for Directors of and Pedagogical Staff in Day-Care Centres 5.2 Sampling Design for Youth Welfare Offices and Family Day-Care Workers 5.3 Sampling Design for Providers of Childcare 5.4 Sampling Design for Children in Day-Care 6 Contacting and Survey Designs 6.1 Contacting of Directors of and Pedagogical Staff in Day-Care Centres 6.2 Contacting of Youth Offices and Family Day-Care Workers 6.3 Contacting of Providers of Childcare 6.4 Contacting of Children in Day-Care 7 ERiK Parent Survey 8 Survey Instruments 8.1 Pretest for Children 8.2 Questionnaire Revisions |
|
|
|
|
|
|
Sommario/riassunto |
|
The ERiK-Methodological Report III is the third in a series of methodological reports related to the 'Entwicklung von Rahmenbedingungen in der Kindertagesbetreuung -indikatorengestützte Qualitätsbeobachtung (ERiK)' study. The report focuses on the conception, sample selection, and survey designs of the ERiK-Surveys 2022. Together with the ERiK-Methodological Report I and II, that cover the ERiK Surveys 2020, it provides comprehensive background information on the ERiK-Surveys conducted in 2022 and describes their progression until December 31, 2021. The subsequent steps, such as implementing the ERiK-Surveys 2022, will be described in a later report. |
|
|
|
|
|
|
|
| |