Pentaho Analytics For Mongodb

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Pentaho Analytics for MongoDB Cookbook

Author : Joel Latino
Publisher : Packt Publishing Ltd
ISBN 13 : 1783553286
Total Pages : 218 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Pentaho Analytics for MongoDB Cookbook by : Joel Latino

Download or read book Pentaho Analytics for MongoDB Cookbook written by Joel Latino and published by Packt Publishing Ltd. This book was released on 2015-12-29 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions About This Book Create reports and stunning dashboards with MongoDB data Accelerate data access and maximize productivity with unique features of Pentaho for MongoDB A step-by-step recipe-based guide for making full use of Pentaho suite tools with MongoDB Who This Book Is For This book is intended for data architects and developers with a basic level of knowledge of MongoDB. Familiarity with Pentaho is not expected. What You Will Learn Extract, load, and transform data from MongoDB collections to other datasources Design Pentaho Reports using different types of connections for MongoDB Create a OLAP mondrian schema for MongoDB Explore your MongoDB data using Pentaho Analyzer Utilize the drag and drop web interface to create dashboards Use Kettle Thin JDBC with MongoDB for analysis Integrate advanced dashboards with MondoDB using different types of connections Publish and run a report on Pentaho BI server using a web interface In Detail MongoDB is an open source, schemaless NoSQL database system. Pentaho as a famous open source Analysis tool provides high performance, high availability, and easy scalability for large sets of data. The variant features in Pentaho for MongoDB are designed to empower organizations to be more agile and scalable and also enables applications to have better flexibility, faster performance, and lower costs. Whether you are brand new to online learning or a seasoned expert, this book will provide you with the skills you need to create turnkey analytic solutions that deliver insight and drive value for your organization. The book will begin by taking you through Pentaho Data Integration and how it works with MongoDB. You will then be taken through the Kettle Thin JDBC Driver for enabling a Java application to interact with a database. This will be followed by exploration of a MongoDB collection using Pentaho Instant view and creating reports with MongoDB as a datasource using Pentaho Report Designer. The book will then teach you how to explore and visualize your data in Pentaho BI Server using Pentaho Analyzer. You will then learn how to create advanced dashboards with your data. The book concludes by highlighting contributions of the Pentaho Community. Style and approach A comprehensive, recipe-based guide to take complete advantage of the Pentaho Analytics for MongoDB.

Pentaho Analytics for MongoDB

Author : Bo Borland
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (113 download)

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Book Synopsis Pentaho Analytics for MongoDB by : Bo Borland

Download or read book Pentaho Analytics for MongoDB written by Bo Borland and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pentaho Analytics for Mongodb

Author : Bo Borland
Publisher :
ISBN 13 : 9781782168355
Total Pages : 0 pages
Book Rating : 4.1/5 (683 download)

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Book Synopsis Pentaho Analytics for Mongodb by : Bo Borland

Download or read book Pentaho Analytics for Mongodb written by Bo Borland and published by . This book was released on 2014-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an easy-to-follow guide on the key integration points between Pentaho and MongoDB. This book employs a practical approach designed to have Pentaho configured to talk to MongoDB early on so that you see rapid results. This book is intended for business analysts, data architects, and developers new to either Pentaho or MongoDB who want to be able to deliver a complete solution for storing, processing, and visualizing data. It's assumed that you will already have experience defining data requirements needed to support business processes and exposure to database modeling, SQL query, and rep.

Pentaho Data Integration Cookbook

Author : Alex Meadows
Publisher : Packt Publishing Ltd
ISBN 13 : 1783280689
Total Pages : 699 pages
Book Rating : 4.7/5 (832 download)

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Book Synopsis Pentaho Data Integration Cookbook by : Alex Meadows

Download or read book Pentaho Data Integration Cookbook written by Alex Meadows and published by Packt Publishing Ltd. This book was released on 2013-12-02 with total page 699 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pentaho Data Integration Cookbook Second Edition is written in a cookbook format, presenting examples in the style of recipes.This allows you to go directly to your topic of interest, or follow topics throughout a chapter to gain a thorough in-depth knowledge.Pentaho Data Integration Cookbook Second Edition is designed for developers who are familiar with the basics of Kettle but who wish to move up to the next level.It is also aimed at advanced users that want to learn how to use the new features of PDI as well as and best practices for working with Kettle.

Pentaho 8 Reporting for Java Developers

Author : Francesco Corti
Publisher : Packt Publishing Ltd
ISBN 13 : 1788295838
Total Pages : 461 pages
Book Rating : 4.7/5 (882 download)

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Book Synopsis Pentaho 8 Reporting for Java Developers by : Francesco Corti

Download or read book Pentaho 8 Reporting for Java Developers written by Francesco Corti and published by Packt Publishing Ltd. This book was released on 2017-09-15 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create reports and solve common report problems with minimal fuss. About This Book Use this unique book to master the basics and advanced features of Pentaho 8 Reporting. A book showing developers and analysts with IT skills how to create and use the best possible reports using the Pentaho platform. Written with a very practical approach: full of tutorials and practical examples (source code included). Who This Book Is For This book is written for two types of professionals and students: Information Technologists with a basic knowledge of Databases and Java Developers with medium seniority. Developers will be interested to discover how to embed reports in a third-party Java application. What You Will Learn The basics of Pentaho Reporting (Designer and SDK) and its initial setup. Develop the most attractive reports on top of a wide range of data sources. Perform detailed customization of layout, parameterization, internationalization, behaviors, and more for your custom reports developed with Pentaho Reporting. Integrate Pentaho reports into third-party Java application with full control over interactions, layout, and behavior in general. Use Pentaho reports in the other components of the Pentaho Suite (BA Platform and PDI). In Detail This hands-on tutorial, filled with exercises and examples, introduces the reader to a variety of concepts within Pentaho Reporting. With screenshots that show you how reports look at design time as well as how they should look when rendered as PDF, Excel, HTML, Text, Rich-Text-File, XML, and CSV, this book also contains complete example source code that you can copy and paste into your environment to get up-and-running quickly. Updated to cover the features of Pentaho 8, this book will teach you everything you need to know to build fast, efficient reports using Pentaho. If your interest lies in the technical details of creating reports and you want to see how to solve common reporting problems with a minimum of fuss, this is the book for you. Style and approach A step-by-step guide covering technical topics relating to environments, best practices, and source code, to enable the reader to assemble the best reports and use them in existing Java applications.

MongoDB High Availability

Author : Afshin Mehrabani
Publisher : Packt Publishing Ltd
ISBN 13 : 1783986735
Total Pages : 239 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis MongoDB High Availability by : Afshin Mehrabani

Download or read book MongoDB High Availability written by Afshin Mehrabani and published by Packt Publishing Ltd. This book was released on 2014-07-24 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has a perfect balance of concepts and their practical implementation along with solutions to make a highly available MongoDB server with clear instructions and guidance. If you are using MongoDB in a production environment and need a solution to make a highly available MongoDB server, this book is ideal for you. Familiarity with MongoDB is expected so that you understand the content of this book.

BIG DATA AND ANALYTICS

Author : Dr. Eng. Imam Tahyudin, MM
Publisher : Zahira Media Publisher
ISBN 13 : 6230954028
Total Pages : 315 pages
Book Rating : 4.2/5 (39 download)

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Book Synopsis BIG DATA AND ANALYTICS by : Dr. Eng. Imam Tahyudin, MM

Download or read book BIG DATA AND ANALYTICS written by Dr. Eng. Imam Tahyudin, MM and published by Zahira Media Publisher. This book was released on 2023-09-27 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook discusses the Problems in Big Data, Big Data Characteristics, Map Reduce Paradigm in Big Data, Various tools used in Big Data, examples of the application of Big Data and Analytics. Related courses / RPS)

Learning Predictive Analytics with R

Author : Eric Mayor
Publisher : Packt Publishing Ltd
ISBN 13 : 1782169369
Total Pages : 333 pages
Book Rating : 4.7/5 (821 download)

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Book Synopsis Learning Predictive Analytics with R by : Eric Mayor

Download or read book Learning Predictive Analytics with R written by Eric Mayor and published by Packt Publishing Ltd. This book was released on 2015-09-24 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with key data visualization and predictive analytic skills using R About This Book Acquire predictive analytic skills using various tools of R Make predictions about future events by discovering valuable information from data using R Comprehensible guidelines that focus on predictive model design with real-world data Who This Book Is For If you are a statistician, chief information officer, data scientist, ML engineer, ML practitioner, quantitative analyst, and student of machine learning, this is the book for you. You should have basic knowledge of the use of R. Readers without previous experience of programming in R will also be able to use the tools in the book. What You Will Learn Customize R by installing and loading new packages Explore the structure of data using clustering algorithms Turn unstructured text into ordered data, and acquire knowledge from the data Classify your observations using Naive Bayes, k-NN, and decision trees Reduce the dimensionality of your data using principal component analysis Discover association rules using Apriori Understand how statistical distributions can help retrieve information from data using correlations, linear regression, and multilevel regression Use PMML to deploy the models generated in R In Detail R is statistical software that is used for data analysis. There are two main types of learning from data: unsupervised learning, where the structure of data is extracted automatically; and supervised learning, where a labeled part of the data is used to learn the relationship or scores in a target attribute. As important information is often hidden in a lot of data, R helps to extract that information with its many standard and cutting-edge statistical functions. This book is packed with easy-to-follow guidelines that explain the workings of the many key data mining tools of R, which are used to discover knowledge from your data. You will learn how to perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. All chapters will guide you in acquiring the skills in a practical way. Most chapters also include a theoretical introduction that will sharpen your understanding of the subject matter and invite you to go further. The book familiarizes you with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, association rules, principal component analysis, multilevel modeling, k-NN, Naive Bayes, decision trees, and text mining. It also provides a description of visualization techniques using the basic visualization tools of R as well as lattice for visualizing patterns in data organized in groups. This book is invaluable for anyone fascinated by the data mining opportunities offered by GNU R and its packages. Style and approach This is a practical book, which analyzes compelling data about life, health, and death with the help of tutorials. It offers you a useful way of interpreting the data that's specific to this book, but that can also be applied to any other data.

Deep Learning in Internet of Things for Next Generation Healthcare

Author : Lavanya Sharma
Publisher : CRC Press
ISBN 13 : 1040030823
Total Pages : 311 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Deep Learning in Internet of Things for Next Generation Healthcare by : Lavanya Sharma

Download or read book Deep Learning in Internet of Things for Next Generation Healthcare written by Lavanya Sharma and published by CRC Press. This book was released on 2024-06-18 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes. Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.

Practical Data Analysis Cookbook

Author : Tomasz Drabas
Publisher : Packt Publishing Ltd
ISBN 13 : 1783558512
Total Pages : 384 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Practical Data Analysis Cookbook by : Tomasz Drabas

Download or read book Practical Data Analysis Cookbook written by Tomasz Drabas and published by Packt Publishing Ltd. This book was released on 2016-04-29 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 60 practical recipes on data exploration and analysis About This Book Clean dirty data, extract accurate information, and explore the relationships between variables Forecast the output of an electric plant and the water flow of American rivers using pandas, NumPy, Statsmodels, and scikit-learn Find and extract the most important features from your dataset using the most efficient Python libraries Who This Book Is For If you are a beginner or intermediate-level professional who is looking to solve your day-to-day, analytical problems with Python, this book is for you. Even with no prior programming and data analytics experience, you will be able to finish each recipe and learn while doing so. What You Will Learn Read, clean, transform, and store your data usng Pandas and OpenRefine Understand your data and explore the relationships between variables using Pandas and D3.js Explore a variety of techniques to classify and cluster outbound marketing campaign calls data of a bank using Pandas, mlpy, NumPy, and Statsmodels Reduce the dimensionality of your dataset and extract the most important features with pandas, NumPy, and mlpy Predict the output of a power plant with regression models and forecast water flow of American rivers with time series methods using pandas, NumPy, Statsmodels, and scikit-learn Explore social interactions and identify fraudulent activities with graph theory concepts using NetworkX and Gephi Scrape Internet web pages using urlib and BeautifulSoup and get to know natural language processing techniques to classify movies ratings using NLTK Study simulation techniques in an example of a gas station with agent-based modeling In Detail Data analysis is the process of systematically applying statistical and logical techniques to describe and illustrate, condense and recap, and evaluate data. Its importance has been most visible in the sector of information and communication technologies. It is an employee asset in almost all economy sectors. This book provides a rich set of independent recipes that dive into the world of data analytics and modeling using a variety of approaches, tools, and algorithms. You will learn the basics of data handling and modeling, and will build your skills gradually toward more advanced topics such as simulations, raw text processing, social interactions analysis, and more. First, you will learn some easy-to-follow practical techniques on how to read, write, clean, reformat, explore, and understand your data—arguably the most time-consuming (and the most important) tasks for any data scientist. In the second section, different independent recipes delve into intermediate topics such as classification, clustering, predicting, and more. With the help of these easy-to-follow recipes, you will also learn techniques that can easily be expanded to solve other real-life problems such as building recommendation engines or predictive models. In the third section, you will explore more advanced topics: from the field of graph theory through natural language processing, discrete choice modeling to simulations. You will also get to expand your knowledge on identifying fraud origin with the help of a graph, scrape Internet websites, and classify movies based on their reviews. By the end of this book, you will be able to efficiently use the vast array of tools that the Python environment has to offer. Style and approach This hands-on recipe guide is divided into three sections that tackle and overcome real-world data modeling problems faced by data analysts/scientist in their everyday work. Each independent recipe is written in an easy-to-follow and step-by-step fashion.

MACHINE LEARNING TECHNIQUES IN DATA MINING APPLICATIONS

Author : DR. SUBHENDU KUMAR PANI
Publisher : Lulu.com
ISBN 13 : 1365016242
Total Pages : 227 pages
Book Rating : 4.3/5 (65 download)

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Book Synopsis MACHINE LEARNING TECHNIQUES IN DATA MINING APPLICATIONS by : DR. SUBHENDU KUMAR PANI

Download or read book MACHINE LEARNING TECHNIQUES IN DATA MINING APPLICATIONS written by DR. SUBHENDU KUMAR PANI and published by Lulu.com. This book was released on 2016-04-06 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Web Mining is an important sub-branch of Data Mining. Data mining is defined as a technique of finding hidden information in a database [1]. It may be called as data driven discovery, explorative data analysis, deductive learning. Web mining is mining of data related to the World Wide Web [2]. This may be data actually present in Web pages or data related to the Web activity.

New Trends in Intelligent Software Methodologies, Tools and Techniques

Author : H. Fujita
Publisher : IOS Press
ISBN 13 : 1643683179
Total Pages : 744 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis New Trends in Intelligent Software Methodologies, Tools and Techniques by : H. Fujita

Download or read book New Trends in Intelligent Software Methodologies, Tools and Techniques written by H. Fujita and published by IOS Press. This book was released on 2022-10-11 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integration of applied intelligence with software has been an essential enabler for science and the new economy, creating new possibilities for a more reliable, flexible and robust society. But current software methodologies, tools, and techniques often fall short of expectations, and are not yet sufficiently robust or reliable for a constantly changing and evolving market. This book presents the proceedings of SoMeT_22, the 21st International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, held from 20 - 22 September 2022 in Kitakyushu, Japan. The SoMeT conference provides a platform for the exchange of ideas and experience in the field of software technology, with the emphasis on human-centric software methodologies, end-user development techniques, and emotional reasoning for optimal performance. The 58 papers presented here were each carefully reviewed by 3 or 4 referees for technical soundness, relevance, originality, significance and clarity, they were then revised before being selected by the international reviewing committee. The papers are arranged in 9 chapters: software systems with intelligent design; software systems security and techniques; formal techniques for system software and quality assessment; applied intelligence in software; intelligent decision support systems; cyber-physical systems; knowledge science and intelligent computing; ontology in data and software; and machine learning in systems software. The book assembles the work of scholars from the international research community to capture the essence of the new state-of-the-art in software science and its supporting technology, and will be of interest to all those working in the field.

Mobile Big Data

Author : Georgios Skourletopoulos
Publisher : Springer
ISBN 13 : 3319679252
Total Pages : 346 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Mobile Big Data by : Georgios Skourletopoulos

Download or read book Mobile Big Data written by Georgios Skourletopoulos and published by Springer. This book was released on 2017-10-31 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective. Further, it provides an overview of new methodologies designed to take mobile big data to the Cloud, enable the processing of real-time streaming events on-the-move and enhance the integration of resource availability through the ‘Anywhere, Anything, Anytime’ paradigm. By providing both academia and industry researchers and professionals with a timely snapshot of emerging mobile big data-centric systems and highlighting related pitfalls, as well as potential solutions, the book fills an important gap in the literature and fosters the further development in the area of mobile technologies for exploiting mobile big data.

Beginning Apache Hadoop Administration

Author : Prashant Nair
Publisher : Notion Press
ISBN 13 : 1947752073
Total Pages : 146 pages
Book Rating : 4.9/5 (477 download)

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Book Synopsis Beginning Apache Hadoop Administration by : Prashant Nair

Download or read book Beginning Apache Hadoop Administration written by Prashant Nair and published by Notion Press. This book was released on 2017-09-07 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bigdata is one of the most demanding markets in the IT sector. If you are an administrator or a have a passion for knowing the internal configurations of Hadoop, then this book is for you. This book enables a professional to learn about Hadoop in terms of installation, configuration, and management. This book will help the reader to jumpstart with Hadoop frameworks, its eco-system components and slowly progress towards learning the administration part of Hadoop. The level of this book goes from beginner to intermediate with 70% hands-on exercises. Some of the techniques that you will learn include, • Installation and configuration of Hadoop cluster • Performing Hadoop Cluster Upgrade • Understanding and implementing HDFS Federation • Understanding and Implementing High Availability • Implementing HA on a Federated Cluster • Zookeeper CLI • Apache Hive Installation and Security • HBase Multi-master setup • Oozie installation, configuration and job submission • Setting up HDFS Quotas • Setting up HDFS NFS gateway • Understanding and implementing rolling upgrade and much more.

Managing Big Data in Cloud Computing Environments

Author : Ma, Zongmin
Publisher : IGI Global
ISBN 13 : 1466698357
Total Pages : 333 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Managing Big Data in Cloud Computing Environments by : Ma, Zongmin

Download or read book Managing Big Data in Cloud Computing Environments written by Ma, Zongmin and published by IGI Global. This book was released on 2016-02-02 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing has proven to be a successful paradigm of service-oriented computing, and has revolutionized the way computing infrastructures are abstracted and used. By means of cloud computing technology, massive data can be managed effectively and efficiently to support various aspects of problem solving and decision making. Managing Big Data in Cloud Computing Environments explores the latest advancements in the area of data management and analysis in the cloud. Providing timely, research-based information relating to data storage, sharing, extraction, and indexing in cloud systems, this publication is an ideal reference source for graduate students, IT specialists, researchers, and professionals working in the areas of data and knowledge engineering.

Hadoop Essentials

Author : Shiva Achari
Publisher : Packt Publishing Ltd
ISBN 13 : 1784390461
Total Pages : 194 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis Hadoop Essentials by : Shiva Achari

Download or read book Hadoop Essentials written by Shiva Achari and published by Packt Publishing Ltd. This book was released on 2015-04-29 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. This book is also meant for Hadoop professionals who want to find solutions to the different challenges they come across in their Hadoop projects.

Big Data Analytics

Author : Arun K. Somani
Publisher : CRC Press
ISBN 13 : 1351180320
Total Pages : 399 pages
Book Rating : 4.3/5 (511 download)

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Book Synopsis Big Data Analytics by : Arun K. Somani

Download or read book Big Data Analytics written by Arun K. Somani and published by CRC Press. This book was released on 2017-10-30 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.