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Virtualbox 5 0 Quickstart

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Hands On Big Data Modeling

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Author : James Lee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-11-30

Hands On Big Data Modeling written by James Lee and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with Computers categories.

Solve all big data problems by learning how to create efficient data models Key FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.

Virtualbox 5 0 Quickstart

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Author : Holger Reibold
language : de
Publisher: BookRix
Release Date : 2016-03-24

Virtualbox 5 0 Quickstart written by Holger Reibold and has been published by BookRix this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-24 with Computers categories.

Hands On Data Virtualization With Polybase

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Author : Pablo Alejandro Echeverria Barrios
language : en
Publisher: BPB Publications
Release Date : 2021-04-05

Hands On Data Virtualization With Polybase written by Pablo Alejandro Echeverria Barrios and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-05 with Computers categories.

Run queries and analysis on big data clusters across relational and non relational databases Ê KEY FEATURESÊÊ _ Connect to Hadoop, Azure, Spark, Oracle, Teradata, Cassandra, MongoDB, CosmosDB, MySQL, PostgreSQL, MariaDB, and SAP HANA. _ Numerous techniques on how to query data and troubleshoot Polybase for better data analytics. _ Exclusive coverage on Azure Synapse Analytics and building Big Data clusters. DESCRIPTIONÊ This book brings exciting coverage on establishing and managing data virtualization using polybase. This book teaches how to configure polybase on almost all relational and nonrelational databases. You will learn to set up the test environment for any tool or software instantly without hassle. You will practice how to design and build some of the high performing data warehousing solutions and that too in a few minutes of time. You will almost become an expert in connecting to all databases including hadoop, cassandra, MySQL, PostgreSQL, MariaDB and Oracle database. This book also brings exclusive coverage on how to build data clusters on Azure and using Azure Synapse Analytics. By the end of this book, you just don't administer the polybase for managing big data clusters but rather you learn to optimize and boost the performance for enabling data analytics and ease of data accessibility. WHAT YOU WILL LEARN _ Learn to configure Polybase and process Transact SQL queries with ease. _ Create a Docker container with SQL Server 2019 on Windows and Polybase. _ Establish SQL Server instance with any other software or tool using Polybase _ Connect with Cassandra, MongoDB, MySQL, PostgreSQL, MariaDB, and IBM DB2. WHO THIS BOOK IS FORÊÊ This book is for database developers and administrators familiar with the SQL language and command prompt. Managers and decision-makers will also find this book useful. No prior knowledge of any other technology or language is required. TABLE OF CONTENTS 1. What is Data Virtualization (Polybase) 2. History of Polybase 3. Polybase current state 4. Differences with other technologies 5. Usage 6. Future 7. SQL Server 8. Hadoop Cloudera and Hortonworks 9. Windows Azure Storage Blob 10. Spark 11. From Azure Synapse Analytics 12. From Big Data Clusters 13. Oracle 14. Teradata 15. Cassandra 16. MongoDB 17. CosmosDB 18. MySQL 19. PostgreSQL 20. MariaDB 21. SAP HANA 22. IBM DB2 23. Excel

Learning Hunk

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Author : Dmitry Anoshin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-12-31

Learning Hunk written by Dmitry Anoshin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-31 with Computers categories.

Visualize and analyze your Hadoop data using Hunk About This Book Explore your data in Hadoop and NoSQL data stores Create and optimize your reporting experience with advanced data visualizations and data analytics A comprehensive developer's guide that helps you create outstanding analytical solutions efficiently Who This Book Is For If you are Hadoop developers who want to build efficient real-time Operation Intelligence Solutions based on Hadoop deployments or various NoSQL data stores using Hunk, this book is for you. Some familiarity with Splunk is assumed. What You Will Learn Deploy and configure Hunk on top of Cloudera Hadoop Create and configure Virtual Indexes for datasets Make your data presentable using the wide variety of data visualization components and knowledge objects Design a data model using Hunk best practices Add more flexibility to your analytics solution via extended SDK and custom visualizations Discover data using MongoDB as a data source Integrate Hunk with AWS Elastic MapReduce to improve scalability In Detail Hunk is the big data analytics platform that lets you rapidly explore, analyse, and visualize data in Hadoop and NoSQL data stores. It provides a single, fluid user experience, designed to show you insights from your big data without the need for specialized skills, fixed schemas, or months of development. Hunk goes beyond typical data analysis methods and gives you the power to rapidly detect patterns and find anomalies across petabytes of raw data. This book focuses on exploring, analysing, and visualizing big data in Hadoop and NoSQL data stores with this powerful full-featured big data analytics platform. You will begin by learning the Hunk architecture and Hunk Virtual Index before moving on to how to easily analyze and visualize data using Splunk Search Language (SPL). Next you will meet Hunk Apps which can easy integrate with NoSQL data stores such as MongoDB or Sqqrl. You will also discover Hunk knowledge objects, build a semantic layer on top of Hadoop, and explore data using the friendly user-interface of Hunk Pivot. You will connect MongoDB and explore data in the data store. Finally, you will go through report acceleration techniques and analyze data in the AWS Cloud. Style and approach A step-by-step guide starting right from the basics and deep diving into the more advanced and technical aspects of Hunk.

Mastering Python For Finance

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Author : James Ma Weiming
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-04-29

Mastering Python For Finance written by James Ma Weiming and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-29 with Computers categories.

If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.

Essentials Of Business Analytics

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Author : Bhimasankaram Pochiraju
language : en
Publisher: Springer
Release Date : 2019-07-10

Essentials Of Business Analytics written by Bhimasankaram Pochiraju and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-10 with Business & Economics categories.

This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.

Virtualbox 5 0 Kompakt

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Author : Holger Reibold
language : de
Publisher: Brain-Media.de
Release Date : 2016-01-03

Virtualbox 5 0 Kompakt written by Holger Reibold and has been published by Brain-Media.de this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-03 with Computers categories.

Bestimmt wollten Sie schon immer einmal eine bestimmte Server-Umgegung auf ihre Praxistauglichkeit hin testen oder einmal mit wenig Aufwand ein Netzwerk simulieren. Mit VirtualBox ist all das – und noch viel mehr – mit minimalem Aufwand möglich. Sie können unterschiedliche Umgebungen emulieren, die sich wie reale Computer verhalten und dann wie vollwertige Rechner eingesetzt werden können. Einer der zentralen Vorteile von VirtualBox: Sie können die vorhandene Hardware optimal ausnutzen und somit die Kosten für Computer (und damit auch für den Stromverbrauch) erheblich senken. Das vorliegende Buch führt Sie in die Verwendung von VirtualBox 5.0 ein. Sie lernen in diesem Einstieg die wichtigsten Begriffe und VirtualBox im Schnelldurchlauf kennen. Sie erfahren, wie Sie VirtualBox auf unterschiedlichen Plattformen in Betrieb nehmen, wie Sie die virtuellen Maschinen konfigurieren und Zusatzfunktionen für Gastsysteme einrichten. Weitere Themen sind die Verwendung von virtuellem Speicher und der Aufbau von virtuellen Netzwerken. Inhaltsverzeichnis: VORWORT 1 QUICKSTART 1.1 VirtualBox kennenlernen 1.2 VirtualBox 5.0 installieren 1.3 Erste Schritte 1.3.1 Erste virtuelle Maschine anlegen 1.3.2 VM ausführen 1.3.3 Weitere Besonderheiten 1.4 Neuerungen von VirtualBox 5.0 2 VIRTUELLE MASCHINEN KONFIGURIEREN 2.1 Gäste und emulierte Hardware 2.2 Allgemeine VM-Einstellungen 2.3 Systemeinstellungen 2.4 Konfiguration der Anzeige 2.5 Speichereinstellungen 2.6 Audioeinstellungen 2.7 Netzwerkkonfiguration 2.8 Serielle Schnittstellen 2.9 USB-Anschlüsse 2.10 Gemeinsame Ordner 2.11 Anpassung der Benutzerschnittstelle 2.12 Gasterweiterungen 2.12.1 Gasterweiterungen installieren 2.12.2 Gemeinsame Ordner 2.12.3 Drag&Drop-Unterstützung 2.12.4 Grafikbeschleunigung 2.12.5 Nahtlose Fenster 3 VIRTUELLER SPEICHER 3.1 Image-Dateien 3.2 Medien-Manager 3.3 CD-/DVD-Unterstützung 4 VIRTUELLEN NETZWERKE 4.1 Netzwerkadapter 4.2 Verwendung von NAT 4.3 Netzwerkbrücke 4.4 Internes Netzwerk 4.5 Host-only Netzwerk 4.6 Netzwerkperformance 5 VIRTUALBOX FÜR FORTGESCHRITTENE 5.1 Gast-Login automatisieren 5.2 Remote-Zugriff auf VMs 5.3 Abgespeckte GUI: VBoxSDL 5.4 Webcam verwenden 5.5 Anzeige optimieren 5.6 Speicherkonfiguration 5.7 Feintuning der NAT-Engine 5.8 Sicherheit INDEX WEITERE BRAIN-MEDIA.DE-BÜCHER Weitere Titel in Vorbereitung Plus+

Handbook Of Research On Engineering Innovations And Technology Management In Organizations

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Author : Gaur, Loveleen
language : en
Publisher: IGI Global
Release Date : 2020-04-17

Handbook Of Research On Engineering Innovations And Technology Management In Organizations written by Gaur, Loveleen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-17 with Technology & Engineering categories.

As technology weaves itself more tightly into everyday life, socio-economic development has become intricately tied to these ever-evolving innovations. Technology management is now an integral element of sound business practices, and this revolution has opened up many opportunities for global communication. However, such swift change warrants greater research that can foresee and possibly prevent future complications within and between organizations. The Handbook of Research on Engineering Innovations and Technology Management in Organizations is a collection of innovative research that explores global concerns in the applications of technology to business and the explosive growth that resulted. Highlighting a wide range of topics such as cyber security, legal practice, and artificial intelligence, this book is ideally designed for engineers, manufacturers, technology managers, technology developers, IT specialists, productivity consultants, executives, lawyers, programmers, managers, policymakers, academicians, researchers, and students.

Practical Big Data Analytics

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Author : Nataraj Dasgupta
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-01-15

Practical Big Data Analytics written by Nataraj Dasgupta and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-15 with Computers categories.

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 NoSQL platforms to perform massive online analyses Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Book Description Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book. What you will learn - Get a 360-degree view into the world of Big Data, data science and machine learning - Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives - Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R - Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions - Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications - Understand corporate strategies for successful Big Data and data science projects - Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies Who this book is for The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience.

Architecting Hbase Applications

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Author : Jean-Marc Spaggiari
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-07-18

Architecting Hbase Applications written by Jean-Marc Spaggiari and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-18 with Computers categories.

Lots of HBase books, online HBase guides, and HBase mailing lists/forums are available if you need to know how HBase works. But if you want to take a deep dive into use cases, features, and troubleshooting, Architecting HBase Applications is the right source for you. With this book, you'll learn a controlled set of APIs that coincide with use-case examples and easily deployed use-case models, as well as sizing/best practices to help jump start your enterprise application development and deployment.

Virtualbox 5 0 Quickstart

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