Description

Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenarios About This Book * Perform real-time data analytics and visualizations, on streaming data, using Kibana * Build beautiful visualizations and dashboards with simplicity and ease without any type of coding involved * Learn all the core concepts as well as detailed information about each component used in Kibana Who This Book Is For Whether you are new to the world of data analytics and data visualization or an expert, this book will provide you with the skills required to use Kibana with ease and simplicity for real-time data visualization of streaming data. This book is intended for those professionals who are interested in learning about Kibana,its installations, and how to use it . As Kibana provides a user-friendly web page, no prior experience is required. What You Will Learn * Understand the basic concepts of elasticsearch used in Kibana along with step by step guide to install Kibana in Windows and Ubuntu * Explore the functionality of all the components used in Kibana in detail, such as the Discover, Visualize, Dashboard,and Settings pages * Analyze data using the powerful search capabilities of elasticsearch * Understand the different types of aggregations used in Kibana for visualization * Create and build different types of amazing visualizations and dashboards easily * Create, save, share, embed, and customize the visualizations added to the dashboard * Customize and tweak the advanced settings of Kibana to ensure ease of use In Detail With the increasing interest in data analytics and visualization of large data around the globe, Kibana offers the best features to analyze data and create attractive visualizations and dashboards through simple-to-use web pages. The variety of visualizations provided, combined with the powerful underlying elasticsearch capabilities will help professionals improve their skills with this technology. This book will help you quickly familiarize yourself to Kibana and will also help you to understand the core concepts of this technology to build visualizations easily. Starting with setting up of Kibana and elasticsearch in Windows and Ubuntu, you will then use the Discover page to analyse your data intelligently. Next, you will learn to use the Visualization page to create beautiful visualizations without the need for any coding. Then, you will learn how to use the Dashboard page to create a dashboard and instantly share and embed the dashboards. You will see how to tweak the basic and advanced settings provided in Kibana to manage searches, visualizations, and dashboards. Finally, you will use Kibana to build visualizations and dashboards for real-world scenarios. You will quickly master the functionalities and components used in Kibana to create amazing visualizations based on real-world scenarios. With ample screenshots to guide you through every step, this book will assist you in creating beautiful visualizations with ease. Style and approach This book is a comprehensive step-by-step guide to help you understand Kibana. It's explained in an easy-to-follow style along with supporting images. Every chapter is explained sequentially , covering the basics of each component of Kibana and providing detailed explanations of all the functionalities of Kibana that appeal.

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.

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery. Extensive solutions using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others.

Each chapter of the book quickly introduces a key 'theme' of Data Analysis, before immersing you in the practical aspects of each theme. You'll learn quickly how to perform all aspects of Data Analysis.Practical Data Analysis is a book ideal for home and small business users who want to slice & dice the data they have on hand with minimum hassle.

Proprietare und monolithische Softwaresysteme haben die Wirtschaft in den letzten Jahrzehnten gepragt. Ohne die digitale Unterstutzung der Geschaftsprozesse ist kein Unternehmen wettbewerbsfahig. Die Revolution wird durch den Consumer Bereich vorangetrieben, die Geschaftsprozesse werden mobil und ubiquitar. Konsumenten im B2C und Unternehmen im B2B werden zukunftig permanent in Kontakt treten konnen, die one-to-one Kommunikation wird durch einen many-to-many Informationsaustausch ersetzt werden. "

Standard tutorial-based approach."Getting Started with Greenplum for Big Data" Analytics is great for data scientists and data analysts with a basic knowledge of Data Warehousing and Business Intelligence platforms who are new to Big Data and who are looking to get a good grounding in how to use the Greenplum Platform. It's assumed that you will have some experience with database design and programming as well as be familiar with analytics tools like R and Weka.

Alaska probably one of the Greatest Gold Producers of Lode and Placer Gold in North America. The Fairbanks District was one of the major contributors to this. At the time of the writing of this book 1930, nearly 6 billion dollars in gold had been taken out of this district at today's prices. The amount is much greater now. This book covers over 100 Lodes, descriptions, Geology, production, history and more. Geological Survey Bulletin 849-B.

This book consists of a practical, exampleoriented approach that aims to help you learn how to use Clojure for data analysis quickly and efficiently. This book is great for those who have experience with Clojure and need to use it to perform data analysis. This book will also be hugely beneficial for readers with basic experience in data analysis and statistics.

Neueste Errungenschaften in der Hard-und Software-Entwicklung, wie z. B. Multi-Core-CPUs und DRAM-Kapazitaten von mehreren Terabyte pro Server, fordertendie Einfuhrung einer revolutionaren Technologie: das In-Memory Data Management. Diese Technologie unterstutzt die flexible und extrem schnelle Analyse grosser Mengen von Unternehmensdaten. Professor Hasso Plattner und seine Arbeitsgruppe am Hasso-Plattner-Institut in Potsdam, Deutschland, lehren die entsprechenden Konzepte seit Jahren und sorgen fur ihreSichtbarkeit in der Software-Industrie.

Dieses Buch basiert auf dem ersten Online-Kurs der openHPI E-Learning-Plattform, die im Herbst 2012 mit mehr als 13.000 Lernenden ins Leben gerufen wurde. Das Buch richtet sich an Studierende der Informatik, speziell mit dem Schwerpunkt Software Engineering. sowiean Business-Experten, Entscheider, Software-Entwickler, IT-Experten und IT-Analysten. Themen sind - unter anderem - die physische Datenspeicherung und der Zugang, grundlegende Datenbank-Betreiber, Kompressions-Mechanismen und Algorithmen. Daruber hinaus werden Implikationen fur zukunftige Enterprise-Anwendungen und deren Entwicklung diskutiert. Die Leser lernen, die radikalen Unterschiede und Vorteile der neuen Technologie gegenuber herkommlichen zeilenorientierten und disk-basierten Datenbanken zu verstehen."

Gold Refining - by Donald Clark - This book covers the methods and systems of gold refining. Chapters Include - Occurrence of Native Gold - Refining Gold with Oxidising and Chloridising Agents - Sulfur Refining - Refining by Cementation Processes - Refining Gold Bullion by means of Oxygen - Miller's Process of Refining - Parting with Nitric Acid - Recovery of Silver from Nitrate Solutions - Refining by means of Sulphuric Acid - Parting gold by Electrolysis - Electrolytic Refining of Gold - The Treatment of Cyanide Precipitates - Other methods of refining gold slimes - The Nitre Cake method of Purifying Slimes - and more

Practical Applications Of Data Mining Emphasizes Both Theory And Applications Of Data Mining Algorithms. Various Topics Of Data Mining Techniques Are Identified And Described Throughout, Including Clustering, Association Rules, Rough Set Theory, Probability Theory, Neural Networks, Classification, And Fuzzy Logic. Each Of These Techniques Is Explored With A Theoretical Introduction And Its Effectiveness Is Demonstrated With Various Chapter Examples. This Book Will Help Any Database And IT Professional Understand How To Apply Data Mining Techniques To Real-World Problems. Following An Introduction To Data Mining Principles, Practical Applications Of Data Mining Introduces Association Rules To Describe The Generation Of Rules As The First Step In Data Mining. It Covers Classification And Clustering Methods To Show How Data Can Be Classified To Retrieve Information From Data. Statistical Functions And Drough Set Theory Are Discussed To Demonstrate How Statistical And Rough Set Formulas Can Be Used For Data Analytics And Knowlege Discovery. Neural Networks Is An Important Branch In Computational Intelligence. It Is Introduced And Explored In The Text To Investigate The Role Of Neural Network Algorithms In Data Analytics.

This book will provide the business or IT professional with a practical working knowledge of data modelling concepts and best practices, and how to apply these principles with PowerDesigner. You will build many PowerDesigner data models along the way, increasing your skills in first the fundamentals and later in the book the more advanced features of PowerDesigner. The book contains six sections: Section I introduces data modelling along with its purpose and variations. Also included is an explanation of the important role of a data modelling tool, the key features required of any data modelling tool, and an introduction to the essential features of PowerDesigner. Section II explains all of the components on a data model including entities, data elements, relationships, and keys, and describes how to create and manage these objects in PowerDesigner. Also included is a discussion of the importance of quality names and definitions for your objects. Section III dives into the relational and dimensional subject area, logical, and physical data models, and describes how PowerDesigner supports these models and the connections between them. Learn how to get information into and out of PowerDesigner, and improve the quality of your data models with a cross-reference of key PowerDesigner features with the Data Model Scorecard. Section IV contains a PowerDesigner workshop designed to consolidate everything for you. Section V focuses on additional PowerDesigner features (some of which have already been introduced) which make life easier for data modellers. Section VI discusses PowerDesigner topics beyond data modelling, including the XML physical model and the other types of model available in PowerDesigner. It also discusses the role of PowerDesigner in data management, using the DAMA Data Management Body of Knowledge (DAMA-DMBOK) framework.

Haben Sie den Eindruck in Excel immer die gleichen Schritte zu wiederholen, wie ein "Hamster im Hamsterrad"? Haben Sie noch nie von Zielwertsuche, Teilergebnis, Konsolidierung, Szenariomanager, Solver gehort? Wollen Sie auf Augenhohe mit Ihrer Bank Ihre privaten/betrieblichen Finanzierungen verhandeln und die letzteren optimieren? Im vorliegenden Buch werden die genannten Excel-Techniken Schritt fur Schritt vertieft. Jedem Excel-Kapitel ist ein Finanzwirtschafts-Kapitel zugeordnet, in welchem die Excel-Technik angewendet wird.
Die Auswahl der Excel-Techniken unterliegt dem Prinzip "Eine zusatzliche Excel-Technik muss den Lernaufwand uberproportional in der Anwendung einspielen." Es wird ein klarer Fokus auf die Darlehenskalkulation und Optimierung von Finanzierungen (privat, betrieblich) gesetzt."

An in-depth Oracle Press guide to Oracle Exalytics In-Memory Machine

Written by Oracle ACE Director Mark Rittman, this e-book offers comprehensive coverage of Oracle Exalytics In-Memory Machine, the best-in-class, preintegrated BI platform. After an overview of the product and its capabilities, you'll get complete details on installation, configuration, administration, maintenance, and creation of the in-memory adaptive data mart that powers the "speed‑ of‑thought" dashboards. Expert tips for integrating with both Oracle and non-Oracle enterprise data sources are included. Enable your organization to analyze large amounts of data via rich, visual dashboards using Oracle Exalytics In-Memory Machine and this Oracle Press guide.

Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.