Download or read book Sharing News Online written by Fiona Martin and published by Springer. This book was released on 2019-07-16 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the political economics and cultural politics of social media news sharing, investigating how it is changing journalism and the news media internationally. News sharing plays important economic and cultural roles in an attention economy, recommending the stories audiences find valuable, making them more visible, and promoting the digital platforms that are reshaping our media ecologies. But is news sharing a force for democracy, or a sign of journalism’s declining power to set news agendas? In Sharing News Online, Tim Dwyer and Fiona Martin analyse the growth of commendary culture and the business of social news, critique the rise of news analytics and dissect virality online. They reveal that surprisingly, we share political stories more highly than celebrity news, and they probe how deeply affect drives our sharing behaviour. In mapping the contours of a critical digital media phenomenon, this book makes essential reading for scholars, journalists and media executives.

Download or read book Multi Tenancy for Cloud Based In Memory Column Databases written by Jan Schaffner and published by Springer Science & Business Media. This book was released on 2013-07-03 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using “multi tenancy,” a technique for consolidating a large number of customers onto a small number of servers. Specifically, the book addresses multi tenancy on the database level, focusing on in-memory column databases, which are the backbone of many important new enterprise applications. For efficiently implementing multi tenancy in a farm of databases, two fundamental challenges must be addressed, (i) workload modeling and (ii) data placement. The first involves estimating the (shared) resource consumption for multi tenancy on a single in-memory database server. The second consists in assigning tenants to servers in a way that minimizes the number of required servers (and thus costs) based on the assumed workload model. This step also entails replicating tenants for performance and high availability. This book presents novel solutions to both problems.

Download or read book Mastering Data Warehouse Aggregates written by Christopher Adamson and published by John Wiley & Sons. This book was released on 2012-06-27 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to provide in-depth coverage of star schema aggregates used in dimensional modeling-from selection and design, to loading and usage, to specific tasks and deliverables for implementation projects Covers the principles of aggregate schema design and the pros and cons of various types of commercial solutions for navigating and building aggregates Discusses how to include aggregates in data warehouse development projects that focus on incremental development, iterative builds, and early data loads

Download or read book Database and Expert Systems Applications written by Stephen W. Liddle and published by Springer. This book was released on 2012-08-20 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 7446 and LNCS 7447 constitutes the refereed proceedings of the 23rd International Conference on Database and Expert Systems Applications, DEXA 2012, held in Vienna, Austria, September 3-6, 2012. The 49 revised full papers presented together with 37 short papers and 2 keynote talks were carefully reviewed and selected from 179 submissions. These papers discuss a range of topics including: database query processing, in particular XML queries; labelling of XML documents; computational efficiency, data extraction; personalization, preferences, and ranking; security and privacy; database schema evaluation and evolution; semantic Web; privacy and provenance; data mining; data streaming; distributed systems; searching and query answering; structuring, compression and optimization; failure, fault analysis, and uncertainty; predication, extraction, and annotation; ranking and personalisation; database partitioning and performance measurement; recommendation and prediction systems; business processes; social networking.

Download or read book Data Management in the Cloud written by Divyakant Agrawal and published by Springer Nature. This book was released on 2022-05-31 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing has emerged as a successful paradigm of service-oriented computing and has revolutionized the way computing infrastructure is used. This success has seen a proliferation in the number of applications that are being deployed in various cloud platforms. There has also been an increase in the scale of the data generated as well as consumed by such applications. Scalable database management systems form a critical part of the cloud infrastructure. The attempt to address the challenges posed by the management of big data has led to a plethora of systems. This book aims to clarify some of the important concepts in the design space of scalable data management in cloud computing infrastructures. Some of the questions that this book aims to answer are: the appropriate systems for a specific set of application requirements, the research challenges in data management for the cloud, and what is novel in the cloud for database researchers? We also aim to address one basic question: whether cloud computing poses new challenges in scalable data management or it is just a reincarnation of old problems? We provide a comprehensive background study of state-of-the-art systems for scalable data management and analysis. We also identify important aspects in the design of different systems and the applicability and scope of these systems. A thorough understanding of current solutions and a precise characterization of the design space are essential for clearing the "cloudy skies of data management" and ensuring the success of DBMSs in the cloud, thus emulating the success enjoyed by relational databases in traditional enterprise settings. Table of Contents: Introduction / Distributed Data Management / Cloud Data Management: Early Trends / Transactions on Co-located Data / Transactions on Distributed Data / Multi-tenant Database Systems / Concluding Remarks

Download or read book In Memory Data Management written by Hasso Plattner and published by Springer Science & Business Media. This book was released on 2011-03-08 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last 50 years the world has been completely transformed through the use of IT. We have now reached a new inflection point. Here we present, for the first time, how in-memory computing is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Analytical data resides in warehouses, synchronized periodically with transactional systems. This separation makes flexible, real-time reporting on current data impossible. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. We describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes by leveraging in-memory computing.

Download or read book Advances in Information Systems written by Tatyana Yakhno and published by Springer. This book was released on 2006-10-11 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Advances in Information Systems, ADVIS 2006, held in Izmir, Turkey in October 2006. The 38 revised full papers presented together with four invited lectures were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections.

Download or read book Transforming Enterprise Cloud Services written by William Y Chang and published by Springer Science & Business Media. This book was released on 2010-11-15 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: The broad scope of Cloud Computing is creating a technology, business, sociolo- cal, and economic renaissance. It delivers the promise of making services available quickly with rather little effort. Cloud Computing allows almost anyone, anywhere, at anytime to interact with these service offerings. Cloud Computing creates a unique opportunity for its users that allows anyone with an idea to have a chance to deliver it to a mass market base. As Cloud Computing continues to evolve and penetrate different industries, it is inevitable that the scope and definition of Cloud Computing becomes very subjective, based on providers’ and customers’ persp- tive of applications. For instance, Information Technology (IT) professionals p- ceive a Cloud as an unlimited, on-demand, flexible computing fabric that is always available to support their needs. Cloud users experience Cloud services as virtual, off-premise applications provided by Cloud service providers. To an end user, a p- vider offering a set of services or applications in the Cloud can manage these off- ings remotely. Despite these discrepancies, there is a general consensus that Cloud Computing includes technology that uses the Internet and collaborated servers to integrate data, applications, and computing resources. With proper Cloud access, such technology allows consumers and businesses to access their personal files on any computer without having to install special tools. Cloud Computing facilitates efficient operations and management of comp- ing technologies by federating storage, memory, processing, and bandwidth.

Download or read book Excel for Accountants written by Conrad Carlberg and published by CPA911 Publishing. This book was released on 2007 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a guide that aims to assist accountants in creating the reports, explanations, and planning documents needed by clients. Provides downloadable example files which are compatible with all versions of Excel from Office 97 through Office 2003, and can also be opened with Excel 12 (in Office 2007).

Download or read book Basics of Power BI Modeling written by Reza Rad and published by RADACAD Systems Limited. This book was released on 2020-09-11 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: I have been dealing with many Power BI challenges in my professional life as a Power BI consultant and a trainer. Challenges normally come as calculation or DAX questions, or sometimes as a performance question. However, after digging deeper into the problem, soon, it will be revealed that the problem is related to a more fundamental challenge; data modeling.If you have a Power BI implementation with many calculation-related or performance-related issues, I strongly suggest looking into your data model because that is where most of the problems start.A good data model is a great base, which upon that, you can build up many stories of calculations and analysis. A bad data model causes problems on every level that you add upon it, and might sometime cause the whole solution to collapse.Fortunately, data modeling is not rocket science. I explained the basic principles of the data modeling with examples in this book. Use this book as the learning path towards a better data model. Most of the tips mentioned in this book are product-agnostic (such as star-schema, dimension, and fact tables). However, this book is particularly designed and developed for a Power BI product user.This book is for you if you are building a Power BI solution. If your task is only visualizing the existing data, this book might not be needed for you. However, What I have seen in many cases, is that the requirement starts with just visualize the data, and then more data tables appear, and you get into the tunnel of data modeling without knowing the principles of it. This book is a guide for you through that tunnel.

Download or read book A Course in In Memory Data Management written by Hasso Plattner and published by Springer. This book was released on 2014-05-28 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent achievements in hardware and software development, such as multi-core CPUs and DRAM capacities of multiple terabytes per server, enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of enterprise data. Professor Hasso Plattner and his research group at the Hasso Plattner Institute in Potsdam, Germany, have been investigating and teaching the corresponding concepts and their adoption in the software industry for years. This book is based on an online course that was first launched in autumn 2012 with more than 13,000 enrolled students and marked the successful starting point of the openHPI e-learning platform. The course is mainly designed for students of computer science, software engineering, and IT related subjects, but addresses business experts, software developers, technology experts, and IT analysts alike. Plattner and his group focus on exploring the inner mechanics of a column-oriented dictionary-encoded in-memory database. Covered topics include - amongst others - physical data storage and access, basic database operators, compression mechanisms, and parallel join algorithms. Beyond that, implications for future enterprise applications and their development are discussed. Step by step, readers will understand the radical differences and advantages of the new technology over traditional row-oriented, disk-based databases. In this completely revised 2nd edition, we incorporate the feedback of thousands of course participants on openHPI and take into account latest advancements in hard- and software. Improved figures, explanations, and examples further ease the understanding of the concepts presented. We introduce advanced data management techniques such as transparent aggregate caches and provide new showcases that demonstrate the potential of in-memory databases for two diverse industries: retail and life sciences.

Download or read book Business Intelligence with Databricks SQL written by Vihag Gupta and published by Packt Publishing Ltd. This book was released on 2022-09-16 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master critical skills needed to deploy and use Databricks SQL and elevate your BI from the warehouse to the lakehouse with confidence Key FeaturesLearn about business intelligence on the lakehouse with features and functions of Databricks SQLMake the most of Databricks SQL by getting to grips with the enablers of its data warehousing capabilitiesA unique approach to teaching concepts and techniques with follow-along scenarios on real datasetsBook Description In this new era of data platform system design, data lakes and data warehouses are giving way to the lakehouse – a new type of data platform system that aims to unify all data analytics into a single platform. Databricks, with its Databricks SQL product suite, is the hottest lakehouse platform out there, harnessing the power of Apache Spark™, Delta Lake, and other innovations to enable data warehousing capabilities on the lakehouse with data lake economics. This book is a comprehensive hands-on guide that helps you explore all the advanced features, use cases, and technology components of Databricks SQL. You'll start with the lakehouse architecture fundamentals and understand how Databricks SQL fits into it. The book then shows you how to use the platform, from exploring data, executing queries, building reports, and using dashboards through to learning the administrative aspects of the lakehouse – data security, governance, and management of the computational power of the lakehouse. You'll also delve into the core technology enablers of Databricks SQL – Delta Lake and Photon. Finally, you'll get hands-on with advanced SQL commands for ingesting data and maintaining the lakehouse. By the end of this book, you'll have mastered Databricks SQL and be able to deploy and deliver fast, scalable business intelligence on the lakehouse. What you will learnUnderstand how Databricks SQL fits into the Databricks Lakehouse PlatformPerform everyday analytics with Databricks SQL Workbench and business intelligence toolsOrganize and catalog your data assetsProgram the data security model to protect and govern your dataTune SQL warehouses (computing clusters) for optimal query experienceTune the Delta Lake storage format for maximum query performanceDeliver extreme performance with the Photon query execution engineImplement advanced data ingestion patterns with Databricks SQLWho this book is for This book is for business intelligence practitioners, data warehouse administrators, and data engineers who are new to Databrick SQL and want to learn how to deliver high-quality insights unhindered by the scale of data or infrastructure. This book is also for anyone looking to study the advanced technologies that power Databricks SQL. Basic knowledge of data warehouses, SQL-based analytics, and ETL processes is recommended to effectively learn the concepts introduced in this book and appreciate the innovation behind the platform.

Download or read book Principles of Distributed Database Systems written by M. Tamer Özsu and published by Springer Nature. This book was released on 2019-12-02 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems. The peer-to-peer computing chapter has been updated with a discussion of blockchains. The chapters that describe classical distributed and parallel database technology have all been updated. The new edition covers the breadth and depth of the field from a modern viewpoint. Graduate students, as well as senior undergraduate students studying computer science and other related fields will use this book as a primary textbook. Researchers working in computer science will also find this textbook useful. This textbook has a companion web site that includes background information on relational database fundamentals, query processing, transaction management, and computer networks for those who might need this background. The web site also includes all the figures and presentation slides as well as solutions to exercises (restricted to instructors).

Download or read book Data Virtualization for Business Intelligence Systems written by Rick van der Lans and published by Elsevier. This book was released on 2012-07-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. You'll learn the difference is between this new form of data integration and older forms, such as ETL and replication, and gain a clear understanding of how data virtualization really works. Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments. You'll come away with a comprehensive understanding of how data virtualization will make data warehouse environments more flexible and how it make developing operational BI applications easier. Van der Lans also describes the relationship between data virtualization and related topics, such as master data management, governance, and information management, so you come away with a big-picture understanding as well as all the practical know-how you need to virtualize your data. - First independent book on data virtualization that explains in a product-independent way how data virtualization technology works. - Illustrates concepts using examples developed with commercially available products. - Shows you how to solve common data integration challenges such as data quality, system interference, and overall performance by following practical guidelines on using data virtualization. - Apply data virtualization right away with three chapters full of practical implementation guidance. - Understand the big picture of data virtualization and its relationship with data governance and information management.

Download or read book OECD Multi level Governance Studies Enabling Inter Municipal Shared Service Provision in Lithuania Proposed Legal and Institutional Framework and Piloting Approach in Taurag Functional Zone written by OECD and published by OECD Publishing. This book was released on 2024-09-19 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lithuania is experiencing rapid demographic change, with the population ageing and significantly shrinking in recent decades. This trend has put pressure on the provision of public services, especially at the municipal level, and is expected to continue in the coming years. Ongoing efforts are made by Lithuania to improve the delivery of municipal services with the aim to mitigate territorial disparities and foster social inclusion. In this perspective, shared public service provision is viewed as a way to enhance the accessibility, affordability and quality of essential public services. This report provides recommendations and an action plan to address challenges inherent to the legal, fiscal and institutional frameworks for shared municipal service provision in Lithuania, while taking stock of these different challenges. The report also provides two roadmaps for piloting primary healthcare and long-term care services in Tauragė+ functional zone (Jurbarkas, Pagėgiai, Šilalė, Tauragė municipalities) through shared municipal service provision. The report draws lessons from peer country experiences, and in particular Finland, where inter-municipal cooperation has been used successfully for decades.

Download or read book Mastering Microsoft Power BI written by Greg Deckler and published by Packt Publishing Ltd. This book was released on 2022-06-30 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plan, design, develop, and manage robust Power BI solutions to generate meaningful insights and make data-driven decisions. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesMaster the latest dashboarding and reporting features of Microsoft Power BICombine data from multiple sources, create stunning visualizations and publish Power BI apps to thousands of usersGet the most out of Microsoft Power BI with real-world use cases and examplesBook Description Mastering Microsoft Power BI, Second Edition, provides an advanced understanding of Power BI to get the most out of your data and maximize business intelligence. This updated edition walks through each essential phase and component of Power BI, and explores the latest, most impactful Power BI features. Using best practices and working code examples, you will connect to data sources, shape and enhance source data, and develop analytical data models. You will also learn how to apply custom visuals, implement new DAX commands and paginated SSRS-style reports, manage application workspaces and metadata, and understand how content can be staged and securely distributed via Power BI apps. Furthermore, you will explore top report and interactive dashboard design practices using features such as bookmarks and the Power KPI visual, alongside the latest capabilities of Power BI mobile applications and self-service BI techniques. Additionally, important management and administration topics are covered, including application lifecycle management via Power BI pipelines, the on-premises data gateway, and Power BI Premium capacity. By the end of this Power BI book, you will be confident in creating sustainable and impactful charts, tables, reports, and dashboards with any kind of data using Microsoft Power BI. What you will learnBuild efficient data retrieval and transformation processes with the Power Query M language and dataflowsDesign scalable, user-friendly DirectQuery, import, and composite data modelsCreate basic and advanced DAX measuresAdd ArcGIS Maps to create interesting data storiesBuild pixel-perfect paginated reportsDiscover the capabilities of Power BI mobile applicationsManage and monitor a Power BI environment as a Power BI administratorScale up a Power BI solution for an enterprise via Power BI Premium capacityWho this book is for Business Intelligence professionals and intermediate Power BI users looking to master Power BI for all their data visualization and dashboarding needs will find this book useful. An understanding of basic BI concepts is required and some familiarity with Microsoft Power BI will be helpful to make the most out of this book.

Download or read book Rule Technologies Foundations Tools and Applications written by Nick Bassiliades and published by Springer. This book was released on 2015-07-11 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International RuleML Symposium, RuleML 2015, held in Berlin, Germany, in August 2015. The 25 full papers, 4 short papers, 2 full keynote papers, 2 invited research track overview papers, 1 invited paper, 1 invited abstracts presented were carefully reviewed and selected from 63 submissions. The papers cover the following topics: general RuleML track; complex event processing track, existential rules and datalog+/- track; legal rules and reasoning track; rule learning track; industry track.