Lead your organization into the industrial revolution of analytics with The Analytics Revolution The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. The Analytics Revolution focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not. The Analytics Revolution delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you'll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important. The book includes: An overview of what operational analytics are and what trends lead us to them Tips on structuring technology infrastructure and analytics organizations to succeed A discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discovered Guidance on how to justify, implement, and govern operational analytics The Analytics Revolution gives you everything you need to implement operational analytic processes with big data.

This IBM® Redbooks® publication for IBM Power Systems™ with IBM PowerHA® SystemMirror® Standard and Enterprise Editions (hardware, software, practices, reference architectures, and tools) documents a well-defined deployment model within an IBM Power Systems environment. It guides you through a planned foundation for a dynamic infrastructure for your enterprise applications. This information is for technical consultants, technical support staff, IT architects, and IT specialists who are responsible for providing high availability and support for the IBM PowerHA SystemMirror Standard and Enterprise Editions on IBM POWER® systems.

Today's businesses, applications, social media, and online transactions generate more data than ever before. This data can be explored and analyzed to provide tremendous business value. IBM® Watson™ Explorer and IBM InfoSphere® Master Data Management (InfoSphere MDM) enable organizations to simultaneously explore and derive insights from enterprise data that was traditionally stored in "silos" in enterprise applications, different data repositories, and in different data formats. This IBM Redbooks® publication provides information about Watson Explorer 9.0, InfoSphere MDM, and IBM InfoSphere MDM Probabilistic Matching Engine for InfoSphere BigInsights™ (PME for BigInsights). It gives you an overview, describes the architecture, and presents use cases that you can use to accomplish the following tasks: Understand the core capabilities of Watson Explorer, InfoSphere MDM, and PME for BigInsights. Realize the full potential of Watson Explorer applications. Describe the integration and value of the combination of Watson Explorer and InfoSphere MDM. Build a 360-degree information application. Learn by example by following hands-on lab scenarios.

Dive into the world of SAP BusinessObjects Universe creation with this comprehensive guide. This book explains how to leverage the SAP Information Design Tool to design and maintain Universes effectively. Whether you're a beginner starting out or an experienced developer transitioning to new tools, you'll find practical insights and guided tutorials to enhance your abilities. What this Book will help me do Understand the fundamental concepts of SAP BusinessObjects Universes and how they facilitate Business Intelligence. Gain expertise in using the SAP Information Design Tool effectively for creating and managing Universes. Learn to build a solid and scalable Data Foundation layer tailored to your organization's needs. Explore methods to ensure the security of Universes using the Security Profile Editor. Master the skills to test, troubleshoot, and refine Universes for reliable reporting outcomes. Author(s) Taha Mahmoud is an experienced SAP consultant specializing in Business Intelligence. With a strong background in SAP BusinessObjects solutions, Taha brings years of hands-on expertise to teaching and technical writing. He focuses on creating precise and practical content to empower readers to solve real-world challenges. Who is it for? This book is tailored for SAP BusinessObjects Universe developers of all skill levels. Beginners will gain structured guidance on how to start and advance in Universe design. Experienced developers will find great value in mapping their knowledge to the newer tools and techniques. If you are responsible for business reporting or strive to optimize your organization's BI infrastructure, this resource is ideal for you.

Learn how to write, tune, and port SQL queries and other statements for a Big Data environment, using Impala—the massively parallel processing SQL query engine for Apache Hadoop. The best practices in this practical guide help you design database schemas that not only interoperate with other Hadoop components, and are convenient for administers to manage and monitor, but also accommodate future expansion in data size and evolution of software capabilities. Written by John Russell, documentation lead for the Cloudera Impala project, this book gets you working with the most recent Impala releases quickly. Ideal for database developers and business analysts, the latest revision covers analytics functions, complex types, incremental statistics, subqueries, and submission to the Apache incubator. Getting Started with Impala includes advice from Cloudera’s development team, as well as insights from its consulting engagements with customers. Learn how Impala integrates with a wide range of Hadoop components Attain high performance and scalability for huge data sets on production clusters Explore common developer tasks, such as porting code to Impala and optimizing performance Use tutorials for working with billion-row tables, date- and time-based values, and other techniques Learn how to transition from rigid schemas to a flexible model that evolves as needs change Take a deep dive into joins and the roles of statistics

Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Teams also have mixed skill sets and tooling is often limited. Despite these disruptions, a data science team must get off the ground fast and begin demonstrating value with traceable, tested work products. This is when you need Guerrilla Analytics. In this book, you will learn about: The Guerrilla Analytics Principles: simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting. Reproducible, traceable analytics: how to design and implement work products that are reproducible, testable and stand up to external scrutiny. Practice tips and war stories: 90 practice tips and 16 war stories based on real-world project challenges encountered in consulting, pre-sales and research. Preparing for battle: how to set up your team's analytics environment in terms of tooling, skill sets, workflows and conventions. Data gymnastics: over a dozen analytics patterns that your team will encounter again and again in projects The Guerrilla Analytics Principles: simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting Reproducible, traceable analytics: how to design and implement work products that are reproducible, testable and stand up to external scrutiny Practice tips and war stories: 90 practice tips and 16 war stories based on real-world project challenges encountered in consulting, pre-sales and research Preparing for battle: how to set up your team's analytics environment in terms of tooling, skill sets, workflows and conventions Data gymnastics: over a dozen analytics patterns that your team will encounter again and again in projects

Dive deep into Oracle BPM Suite 12c with this comprehensive guide on workflow automation and modeling patterns. This book equips you with practical knowledge on designing and implementing intricate Business Process Management solutions using Oracle BPM Suite 12c, making complex processes harmonious and effective. What this Book will help me do Master advanced flow control and branching patterns in Oracle BPM Suite 12c. Implement human workflow integration for better interaction within BPM applications. Learn effective handling of process correlation and exceptions for robust solutions. Explore adaptive case management for handling unpredictable business needs. Understand the usage of predictive analysis and KPIs in business processes. Author(s) None Acharya is a seasoned Oracle BPM and IT solutions expert. With years of practical experience in enterprise process management and cloud-based application development, None combines a technical depth with a passion for sharing knowledge. Their approach to writing ensures a balance of theory and actionable insights. Who is it for? This book is designed for enterprise and solution architects, developers, process analysts, and technical or functional consultants with a focus on process modeling and enterprise IT solutions. Intended readers should have a foundational understanding of BPM concepts. By reading this book, you'll enhance your ability to work with Oracle BPM Suite 12c in professional environments. Ideal for those seeking to deepen their expertise in BPM and workflow automation.

Oracle Endeca Information Discovery Best Practices Maximize the powerful capabilities of this self-service enterprise data discovery platform. Master Competitive Analytics with Oracle Endeca Information Discovery reveals how to unlock insights from any type of data, regardless of structure. The first part of the book is a complete technical guide to the product's architecture, components, and implementation. The second part presents a comprehensive collection of business analytics use cases in various industries, including financial services, healthcare, research, manufacturing, retail, consumer packaged goods, and public sector. Step-by-step instructions on implementing some of these use cases are included in this Oracle Press book. Install and manage Oracle Endeca Server Design Oracle Endeca Information Discovery Studio visualizations to facilitate user-driven data exploration and discovery Enable enterprise-driven data exploration with Oracle Endeca Information Discovery Integrator Develop and implement a fraud detection and analysis application Build a healthcare correlation application that integrates claims, patient, and operations analysis; partners; clinical research; and remote monitoring Use an enterprise architecture approach to incrementally establish big data and analytical capabilities

In 'Mastering MariaDB', you'll explore advanced techniques for managing, optimizing, and maintaining your MariaDB database servers. This book teaches you how to analyze query performance, implement best practices for security, and ensure data durability and availability through robust configurations and procedures. What this Book will help me do Learn to analyze query performance to optimize database efficiency. Gain expertise in implementing secure and organized role-based access controls. Achieve effective database backups with reliable recovery strategies. Set up replication environments to enable high availability of data. Explore clustering and sharding techniques for powerful scalability solutions. Author(s) None Razzoli is an experienced database administrator and author, specializing in MariaDB and other open-source database solutions. With an extensive career in database optimization and troubleshooting, None has helped businesses achieve greater performance and reliability with their systems. As a writer, they focus on clear, precise instruction and practical, real-world applications of database technology. Who is it for? This book is ideal for database administrators and system engineers who are already familiar with the basics of MariaDB and want to elevate their expertise. Intermediate MariaDB users looking to optimize their systems, ensure data security, and set up advanced configurations will find this book immensely helpful. It's written for professionals who actively manage database systems and require advanced knowledge to improve performance and reliability. If you're seeking deeper insights into MariaDB's features and scalability techniques, this book is for you.

The IBM® DB2® Analytics Accelerator for IBM z/OS® is a high-performance appliance that integrates the IBM zEnterprise® infrastructure with IBM PureData™ for Analytics, powered by IBM Netezza® technology. With this integration, you can accelerate data-intensive and complex queries in a DB2 for z/OS highly secure and available environment. DB2 and the Analytics Accelerator appliance form a self-managing hybrid environment running online transaction processing and online transactional analytical processing concurrently and efficiently. These online transactions run together with business intelligence and online analytic processing workloads. DB2 Analytics Accelerator V4.1 expands the value of high-performance analytics. DB2 Analytics Accelerator V4.1 opens to static Structured Query Language (SQL) applications and row set processing, minimizes data movement, reduces latency, and improves availability. This IBM Redbooks® publication provides technical decision-makers with an understanding of the benefits of version 4.1 of the Analytics Accelerator with DB2 11 for z/OS. It describes the installation of the new functions, and the advantages to existing analytical processes as measured in our test environment. This book also introduces the DB2 Analytics Accelerator Loader V1.1, a tool that facilitates the data population of the DB2 Analytics Accelerator.

In "DynamoDB Applied Design Patterns", you'll dive deep into the effective design patterns that optimize the performance of applications using DynamoDB. Through practical examples and best practices, this guide empowers developers to create scalable, efficient, and robust DynamoDB implementations. What this Book will help me do Master how to design effective data models using DynamoDB's native features such as tables, attributes, and indexes. Learn to utilize DynamoDB features like global and local secondary indexes to optimize performance. Gain in-depth knowledge on managing and querying DynamoDB using AWS services and tools. Integrate DynamoDB seamlessly with AWS services such as Redshift, S3, and MapReduce. Leverage advanced DynamoDB API features to retrieve data efficiently for diverse application use cases. Author(s) Uchit Hamendra Vyas is a highly skilled professional specializing in AWS and cloud computing. With years of experience as a developer and architect, he brings practical insights into designing efficient database solutions. His approachable teaching style makes complex topics clear and accessible. Who is it for? This book is designed for developers working with or interested in using DynamoDB in their projects. It assumes a moderate familiarity with database design and AWS concepts. Readers aiming to enhance their DynamoDB skills and optimize performance will greatly benefit. If you're looking to take your NoSQL database knowledge to the next level, this book is for you.

Why a book about logs? That’s easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don’t think much about them, this short book shows you why logs are worthy of your attention. Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows you how logs work in distributed systems, and then delivers practical applications of these concepts in a variety of common uses—data integration, enterprise architecture, real-time stream processing, data system design, and abstract computing models. Go ahead and take the plunge with logs; you’re going love them. Learn how logs are used for programmatic access in databases and distributed systems Discover solutions to the huge data integration problem when more data of more varieties meet more systems Understand why logs are at the heart of real-time stream processing Learn the role of a log in the internals of online data systems Explore how Jay Kreps applies these ideas to his own work on data infrastructure systems at LinkedIn

Learn how to optimize your MariaDB installations for performance, scalability, and reliability. This comprehensive guide teaches you advanced replication techniques, clustering, sharding data, and optimizing engines. By the end of the book, you'll have the tools to build complex, high-performing database infrastructures. What this Book will help me do Master the setup of advanced replication models such as master/slave and dual-master setups. Implement a Galera Cluster to enhance your database's write scalability and reliability. Configure the Spider engine for effective data sharding across multiple nodes. Identify and mitigate performance bottlenecks through in-depth engine optimization. Deploy and maintain a disaster recovery solution using advanced database strategies. Author(s) Pierre Mavro is an experienced database administrator with years of expertise in MySQL and MariaDB systems. Having worked on numerous high-scale projects, he brings practical insights into creating robust, high-performance database solutions. Pierre enjoys sharing his knowledge and helping developers and administrators navigate complex database challenges. Who is it for? This book is perfect for database administrators and system architects who already have working experience with MariaDB or MySQL. If you're looking to enhance your skills and develop solutions for high traffic applications, this book is for you. Ideal for those comfortable with Linux-based infrastructures and eager to learn. Whether maintaining high-availability systems or scaling databases, you'll find this work essential.

Advanced Analytics Methodologies is today's definitive guide to analytics implementation for MBA and university-level business students and sophisticated practitioners. Its expanded, cutting-edge coverage helps readers systematically "jump the gap" between their organization's current analytical capabilities and where they need to be. Step by step, Michele Chambers and Thomas Dinsmore help readers customize a complete roadmap for implementing analytics that supports unique corporate strategies, aligns with specific corporate cultures, and serves unique customer and stakeholder communities. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore provide advanced applications and examples not available elsewhere, describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. They show how to: Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy Link key business objectives with core characteristics of your organization, value chain, and stakeholders Take advantage of game changing opportunities before competitors do Effectively integrate the managerial and operational aspects of analytics Measure performance with dashboards, scorecards, visualization, simulation, and more Prioritize and score prospective analytics projects Identify "Quick Wins" you can implement while you're planning for the long-term Build an effective Analytic Program Office to make your roadmap persistent Update and revise your roadmap for new needs and technologies This advanced text will serve the needs of students and faculty studying cutting-edge analytics techniques, as well as experienced analytics leaders and professionals including Chief Analytics Officers; Chief Data Officers; Chief Scientists; Chief Marketing Officers; Chief Risk Officers; Chief Strategy Officers; VPs of Analytics or Big Data; data scientists; business strategists; and many line-of-business executives.

The "WS-BPEL 2.0 Beginner's Guide" is an essential resource for getting started with designing and implementing WS-BPEL 2.0-based business processes using Oracle SOA Suite 12c. The book introduces you to core concepts, guides you through practical activities, and equips you with skills to effectively use WS-BPEL for orchestrating and managing web services. What this Book will help me do Understand the core syntax and semantics of WS-BPEL 2.0 for designing business processes. Learn to utilize the Oracle SOA Suite 12c to build and deploy WS-BPEL executable processes. Develop skills to use WS-BPEL features such as variables, conditions, loops, and error handling for robust implementations. Gain practical insights into asynchronous operations, dynamic invocations, and messaging patterns in WS-BPEL. Master advanced WS-BPEL concepts like human task integration, event handling, and compensation mechanisms. Author(s) Matjaz B. Juric is a renowned author and technical expert with extensive experience in SOA and BPM technologies. He has authored multiple books focusing on enterprise systems and has a background in academic research and teaching. His approachable and thorough writing style ensures that readers are able to grasp complex topics and apply them effectively in their work. Who is it for? This book is directed at software professionals such as architects, designers, and developers who are working on or looking to adopt SOA and BPM solutions within their projects. Readers should have a basic understanding of SOA concepts and web services but do not need prior experience with WS-BPEL. It is suitable for those aiming to learn WS-BPEL 2.0 from scratch to become proficient in designing and implementing business processes.

This book explores the study of processing and visually representing data sets. Data visualization is closely related to information graphics, information visualization, scientific visualization, and statistical graphics. This second edition presents a better treatment of the relationship between traditional scientific visualization and information visualization, a description of the emerging field of visual analytics, and updated techniques using the GPU and new generations of software tools and packages. This edition is also enhanced with exercises and downloadable code and data sets.

There are many reasons why you would want to optimize your servers through virtualization using Linux on IBM® System z®: Too many distributed physical servers with low utilization A lengthy provisioning process that delays the implementation of new applications Limitations in data center power and floor space High total cost of ownership (TCO) Difficulty allocating processing power for a dynamic environment Next, we describe total cost of ownership analyses and we guide you in understanding how to analyze your environment before beginning a migration project. We also assist you in determining the expected consolidation ratio for a given workload type. We also describe virtualization concepts along with describing the benefits of migrating from the x86 environment to guests residing on an IBM z/VM® single system image with live guest relocation. This IBM Redbooks publication walks you through a migration approach, includes planning worksheets, as well as a chapter to assist you in analyzing your own systems. We also discuss post migration considerations such as acceptance testing of functionality and performance measurements.

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Differential Equations introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to work on differential equations using MATLAB. It includes techniques for solving ordinary and partial differential equations of various kinds, and systems of such equations, either symbolically or using numerical methods (Euler’s method, Heun’s method, the Taylor series method, the Runge–Kutta method,…). It also describes how to implement mathematical tools such as the Laplace transform, orthogonal polynomials, and special functions (Airy and Bessel functions), and find solutions of finite difference equations.

Almost all technological components in the data center are getting faster; central processing units, network, storage area networks (SAN), and memory. All of them have improved their speed by a minimum of 10X; some of them by 100X, for example, data networks. However, spinning disk performance has only increased by 1.2 times. The IBM FlashSystem™ 840 closes this gap. The FlashSystem 840 is optimized for the data center to enable organizations of all sizes to strategically harness the value of stored data. It provides flexible capacity and extreme performance for the most demanding applications, including virtualized or bare-metal online transaction processing (OLTP) and online analytical processing (OLAP) databases, virtual desktop infrastructures (VDI), technical computing applications, and cloud environments. The system accelerates response times with IBM® MicroLatency™ access times as low as 90 µs write latency and 135 µs read latency to enable faster decision making. The introduction of a low capacity 1 TB flash module allows FlashSystem 840 to be configured in capacity points as low as 2 TB in protected RAID 5 mode. Coupled with 10 GB iSCSI, FlashSystem is positioned to bring extreme performance to small and medium-sized businesses (SMB) and growth markets. Implementing the IBM FlashSystem 840 provides value that goes beyond those benefits that are seen on disk-based arrays. These benefits include better user experience, server and application consolidation, development cycle reduction, application scalability, data center footprint savings, and improved price performance economics. This IBM Redbooks® publication introduces clients to the IBM FlashSystem. It provides in-depth knowledge of the product architecture, software and hardware, its implementation, and hints and tips. Also illustrated are use cases that show real-world solutions for tiering, flash-only, and preferred read, as well as examples of the benefits gained by integrating FlashSystem storage into business environments. Also described are product integration scenarios running the IBM FlashSystem 840 with the IBM SAN Volume Controller, the IBM PureFlex® System, and the IBM Storwize® V7000, as well as considerations when integrating with the IBM FlashSystem 840. The preferred practice guidance is provided for your FlashSystem environment with IBM 16 Gbps b-type products and features, focusing on Fibre Channel design. This book is intended for pre-sales and post-sales technical support professionals and storage administrators, and for anyone who wants to understand and learn how to implement this new and exciting technology.

Queries not running fast enough? Wondering about the in-memory database features in 2014? Tired of phone calls from frustrated users? Grant Fritchey's book SQL Server Query Performance Tuning is the answer to your SQL Server query performance problems. The book is revised to cover the very latest in performance optimization features and techniques, especially including the newly-added, in-memory database features formerly known under the code name Project Hekaton. This book provides the tools you need to approach your queries with performance in mind. SQL Server Query Performance Tuning leads you through understanding the causes of poor performance, how to identify them, and how to fix them. You’ll learn to be proactive in establishing performance baselines using tools like Performance Monitor and Extended Events. You’ll learn to recognize bottlenecks and defuse them before the phone rings. You’ll learn some quick solutions too, but emphasis is on designing for performance and getting it right, and upon heading off trouble before it occurs. Delight your users. Silence that ringing phone. Put the principles and lessons from SQL Server Query Performance Tuning into practice today. Covers the in-memory features from Project Hekaton Helps establish performance baselines and monitor against them Guides in troubleshooting and eliminating of bottlenecks that frustrate users