Systems of record (SORs) are engines that generates value for your business. Systems of engagement (SOE) are always evolving and generating new customer-centric experiences and new opportunities to capitalize on the value in the systems of record. The highest value is gained when systems of record and systems of engagement are brought together to deliver insight. Systems of insight (SOI) monitor and analyze what is going on with various behaviors in the systems of engagement and information being stored or transacted in the systems of record. SOIs seek new opportunities, risks, and operational behavior that needs to be reported or have action taken to optimize business outcomes. Systems of insight are at the core of the Digital Experience, which tries to derive insights from the enormous amount of data generated by automated processes and customer interactions. Systems of Insight can also provide the ability to apply analytics and rules to real-time data as it flows within, throughout, and beyond the enterprise (applications, databases, mobile, social, Internet of Things) to gain the wanted insight. Deriving this insight is a key step toward being able to make the best decisions and take the most appropriate actions. Examples of such actions are to improve the number of satisfied clients, identify clients at risk of leaving and incentivize them to stay loyal, identify patterns of risk or fraudulent behavior and take action to minimize it as early as possible, and detect patterns of behavior in operational systems and transportation that lead to failures, delays, and maintenance and take early action to minimize risks and costs. IBM® Operational Decision Manager is a decision management platform that provides capabilities that support both event-driven insight patterns, and business-rule-driven scenarios. It also can easily be used in combination with other IBM Analytics solutions, as the detailed examples will show. IBM Operational Decision Manager Advanced, along with complementary IBM software offerings that also provide capability for systems of insight, provides a way to deliver the greatest value to your customers and your business. IBM Operational Decision Manager Advanced brings together data from different sources to recognize meaningful trends and patterns. It empowers business users to define, manage, and automate repeatable operational decisions. As a result, organizations can create and shape customer-centric business moments. This IBM Redbooks® publication explains the key concepts of systems of insight and how to implement a system of insight solution with examples. It is intended for IT architects and professionals who are responsible for implementing a systems of insights solution requiring event-based context pattern detection and deterministic decision services to enhance other analytics solution components with IBM Operational Decision Manager Advanced.

This IBM® Redbooks® publication gives a broad explanation of the kernel-based virtual machine (KVM) for IBM z™ Systems and how it uses the architecture of IBM z Systems™. It focuses on the planning and design of the environment and provides installation and configuration definitions that are necessary to build and manage KVM for IBM z Systems. It also helps you plan, install, and configure IBM Cloud Manager with OpenStack for use with KVM for IBM z Systems in a cloud environment. This book is useful to IT architects and system administrators who plan for and install KVM for IBM z Systems. The reader is expected to have a good understanding of IBM z Systems hardware, KVM, Linux on z Systems, and cloud concepts.

Unlock the potential of PostgreSQL, a powerful open-source relational database system, with 'Learning PostgreSQL.' This book takes you through essential concepts of relational databases, SQL syntax, and the advanced features of PostgreSQL, equipping you to build and manage efficient database solutions. What this Book will help me do Learn the foundational concepts behind relational databases and relational algebra. Set up and configure a PostgreSQL server and client for development use. Develop SQL queries for robust data manipulation and retrieval. Implement advanced features of PostgreSQL, including procedural programming with PL/pgSQL. Integrate PostgreSQL with Java applications using JDBC and Hibernate frameworks. Author(s) The authors of 'Learning PostgreSQL,' None Juba, Achim Vannahme, and None Volkov, bring extensive experience and expertise in software development and database management. They have a deep understanding of PostgreSQL as well as its integration with applications. Their collective approach emphasizes practical techniques, real-world scenarios, and enriched learning, making this book a valuable resource for learners of all levels. Who is it for? This book is perfect for students, database developers, and administrators seeking to learn PostgreSQL. It suits beginners with no prior knowledge and helps intermediates deepen their expertise. Readers will learn how to develop, maintain, and optimize PostgreSQL databases, making it ideal for those aiming to advance their database development skills.

Explore the fascinating world of geospatial analysis with "Python Geospatial Analysis Cookbook". This guide offers practical, recipe-based solutions for common spatial analysis tasks using Python, helping you tackle real-world spatial challenges effectively. From data preparation to topology checks and network analysis, the book ensures you're equipped to create powerful geospatial applications. What this Book will help me do Understand the projection and coordinate system details of geospatial data to ensure accurate analysis. Transform and manipulate spatial data formats for diverse analysis requirements and projects. Leverage the capabilities of PostGIS within Python for advanced geospatial operations. Apply vector and raster data analysis techniques to solve practical spatial problems. Develop a functional geospatial web application using GeoDjango to demonstrate analysis outputs. Author(s) None Diener is an accomplished professional in the field of geospatial analysis utilizing Python. With years of experience in coding and implementing geospatial systems, Diener bridges the gap between theoretical techniques and practical applications. Their writing is aimed at beginners and professionals alike, delivering clear and precise guidance for building geospatial solutions. Who is it for? This book is perfect for GIS analysts, programmers, data scientists, and researchers with a baseline understanding of geospatial concepts who are looking to enhance their skills. Beginners eager to explore Python's utility in geospatial analysis will also benefit. Whether you're solving intricate spatial problems or building web-based GIS applications, this guide has you covered.

The Example-Rich, Hands-On Guide to Data Munging with Apache Hadoop TM Data scientists spend much of their time “munging” data: handling day-to-day tasks such as data cleansing, normalization, aggregation, sampling, and transformation. These tasks are both critical and surprisingly interesting. Most important, they deepen your understanding of your data’s structure and limitations: crucial insight for improving accuracy and mitigating risk in any analytical project. Now, two leading Hortonworks data scientists, Ofer Mendelevitch and Casey Stella, bring together powerful, practical insights for effective Hadoop-based data munging of large datasets. Drawing on extensive experience with advanced analytics, the authors offer realistic examples that address the common issues you’re most likely to face. They describe each task in detail, presenting example code based on widely used tools such as Pig, Hive, and Spark. This concise, hands-on eBook is valuable for every data scientist, data engineer, and architect who wants to master data munging: not just in theory, but in practice with the field’s #1 platform–Hadoop. Coverage includes A framework for understanding the various types of data quality checks, including cell-based rules, distribution validation, and outlier analysis Assessing tradeoffs in common approaches to imputing missing values Implementing quality checks with Pig or Hive UDFs Transforming raw data into “feature matrix” format for machine learning algorithms Choosing features and instances Implementing text features via “bag-of-words” and NLP techniques Handling time-series data via frequency- or time-domain methods Manipulating feature values to prepare for modeling Data Munging with Hadoop is part of a larger, forthcoming work entitled Data Science Using Hadoop. To be notified when the larger work is available, register your purchase of Data Munging with Hadoop at informit.com/register and check the box “I would like to hear from InformIT and its family of brands about products and special offers.”

Dive into SQLAlchemy, the popular, open-source code library that helps Python programmers work with relational databases such as Oracle, MySQL, PostgresSQL, and SQLite. Using real-world examples, this practical guide shows you how to build a simple database application with SQLAlchemy, and how to connect to multiple databases simultaneously with the same metadata. SQL is a powerful language for querying and manipulating data, but it’s tough to integrate it with your application. SQLAlchemy helps you map Python objects to database tables without substantially changing your existing Python code. If you’re an intermediate Python developer with knowledge of basic SQL syntax and relational theory, this book serves as both a learning tool and a handy reference. Essential SQLAlchemy includes several sections: SQLAlchemy Core: Provide database services to your applications in a Pythonic way with the SQL Expression Language SQLAlchemy ORM: Use the object relational mapper to bind database schema and operations to data objects in your application Alembic: Use this lightweight database migration tool to handle changes to the database as your application evolves Cookbook: Learn how to use SQLAlchemy with web frameworks like Flask and libraries like SQLAcodegen

This book invites the reader on a journey of discovery of service systems. From a Service-Dominant-Logic perspective, such systems are the building blocks of all economic activity, and innovation of new service systems holds the promise of a new industrial revolution. Users navigating web sites, customers interacting with intelligent mobile retail applications, patients interpreting advice from health-care professionals and other sources, students interacting with teachers and learning materials, city dwellers invoking smart service applications for transportation routing, and the unlimited variations of smart service systems that will be enabled by the Internet of Things and other technologies provide ample evidence of the need for service innovation. This book presents an overview of the foundational constructs of service science and models of co-creative systems, with the aim of enabling the reader to be a service innovator. The value proposition of this book is the opportunity to fill each reader's knowledge gaps and offer a comprehensive, coherent, and introductory overview of service system modeling.

Dive into the world of Oracle SOA Suite 12c administration with this comprehensive guide. You'll learn all the core administrative tasks, including deployments, monitoring, and performance tuning, along with setting up clusters for high availability. This book offers practical step-by-step guidance to help you effectively manage your SOA environment, ensuring optimal performance and reliability. What this Book will help me do Effectively deploy and promote SOA composite applications in Oracle SOA Suite 12c. Monitor services and troubleshoot issues to maintain operational stability. Configure and administer key components like the dehydration store and Oracle Enterprise Scheduler. Set up high availability clusters and deploy robust disaster recovery solutions. Optimize system performance through advanced tuning techniques and best practices. Author(s) The authors, None Pareek, None Dost, and Ahmed Aboulnaga, bring a wealth of experience in Oracle SOA administration. Their combined expertise spans years of industry practice in designing, managing, and optimizing Oracle solutions. Their approach to writing is based on practical guidance and real-world applications, making complex topics accessible and actionable. Who is it for? This book is perfect for administrators of Oracle SOA Suite 12c, ranging from novices who need a comprehensive introduction to experienced professionals looking for advanced tips. It serves those managing middleware infrastructures, especially if your goal is to improve reliability, performance, and scalability of SOA services. If you're seeking to enhance your administration skills with Oracle SOA Suite, this book is for you.

This new edition is a hands-on guide for developers and administrators who want to use the power and flexibility of Couchbase Server 4.0 in their applications. The second edition extends coverage of N1QL, the SQL-like query language for Couchbase. It also brings coverage of multiple new features, including the new generation of client SDKs, security and LDAP integration, secondary indexes, and multi-dimensional scaling. Pro Couchbase Server covers everything you need to develop Couchbase solutions and deploy them in production. The NoSQL movement has fundamentally changed the database world in recent years. Influenced by the growing needs of web-scale applications, NoSQL databases such as Couchbase Server provide new approaches to scalability, reliability, and performance. Never have document databases been so powerful and performant. With the power and flexibility of Couchbase Server, you can model your data however you want, and easily change the data model any time you want. Pro Couchbase Server shows what is possible and helps you take full advantage of Couchbase Server and all the performance and scalability that it offers. • Helps you design and develop a document database using Couchbase Server. • Covers the latest features such as the N1QL query language. • Gives you the tools to scale out your application as needed.

In "Data Lake Development with Big Data," you will explore the fundamental principles and techniques for constructing and managing a Data Lake tailored for your organization's big data challenges. This book provides practical advice and architectural strategies for ingesting, managing, and analyzing large-scale data efficiently and effectively. What this Book will help me do Learn how to architect a Data Lake from scratch tailored to your organizational needs. Master techniques for ingesting data using real-time and batch processing frameworks efficiently. Understand data governance, quality, and security considerations essential for scalable Data Lakes. Discover strategies for enabling users to explore data within the Data Lake effectively. Gain insights into integrating Data Lakes with Big Data analytic applications for high performance. Author(s) None Pasupuleti and Beulah Salome Purra bring their extensive expertise in big data and enterprise data management to this book. With years of hands-on experience designing and managing large-scale data architectures, their insights are rooted in practical knowledge and proven techniques. Who is it for? This book is ideal for data architects and senior managers tasked with adapting or creating scalable data solutions in enterprise contexts. Readers should have foundational knowledge of master data management and be familiar with Big Data technologies to derive maximum value from the content presented.

Dive into the ELK stack-Elasticsearch, Logstash, and Kibana-with this comprehensive guide. Designed to help you set up, configure, and utilize the stack to its fullest, this book provides you with the skills to manage data with precision, enrich logs, and create meaningful analytics. Develop an entire data pipeline and cultivate powerful visual insights from your data. What this Book will help me do Install and configure Elasticsearch, Logstash, and Kibana to establish a robust ELK stack setup. Understand the role of each component in the stack and master the basics of log analysis. Create custom Logstash plugins to handle non-standard data processing requirements. Develop interactive and insightful data visualizations and dashboards using Kibana. Implement a complete data pipeline and gain expertise in data indexing, searching, and reporting. Author(s) None Chhajed brings depth of technical understanding and practical experience to the exploration of the ELK Stack. With a strong background in open-source technologies and data analytics, Chhajed has worked extensively with ELK stack implementations in real-world scenarios. Through this guide, the author offers clarity, detailed examples, and actionable insights for professionals seeking to improve their data systems. Who is it for? This book is targeted towards software developers, data analysts, and DevOps engineers seeking to harness the potential of the ELK stack for data analysis and logging. It is most suitable for intermediate-level professionals with basic knowledge of Unix or programming. If your aim is to gain insights and build metrics from diverse data formats utilizing open-source technologies, this book is crafted for you.

Take a deep dive into SAP Fiori and discover Fiori architecture, Fiori landscape installation, Fiori standard applications, Fiori Launchpad configuration, tools for developing Fiori applications and extending standard Fiori applications. You will learn: Fiori architecture and its applications Setting up a Fiori landscape and Fiori Launchpad Configuring, customizing and enhancing standard Fiori applications Developing Fiori native applications for mobile Internet of Things-based custom Fiori applications with the HANA cloud platform Bince Mathew, a SAP mobility expert working for an MNC in Germany, shows you how SAP Fiori, based on HTML5 technology, addresses the most widely and frequently used SAP transactions like purchase order approvals, sales order creation, information lookup, and self-service tasks. This set of HTML5 apps provides a very simple and accessible experience across desktops, tablets, and smartphones.

Embark on your journey to mastering Couchbase with this comprehensive guide designed for learners of all levels. By exploring the fundamentals of NoSQL databases and diving into Couchbase's functionality, you'll gain the skills to design, manage, and scale modern applications effectively. Learn practical solutions and techniques to leverage Couchbase as a powerful backend system. What this Book will help me do Understand the core concepts of NoSQL databases and configure a Couchbase database system from scratch. Design efficient document data schemas and use Couchbase SDKs for high-performance application development. Explore the integration of Couchbase with Elasticsearch to implement robust full-text search capabilities. Master advanced Couchbase features like XDCR for disaster recovery and N1QL for SQL-like application queries. Develop and scale a real-world e-commerce application using Couchbase as the backend database system. Author(s) Henry Potsangbam is an experienced software developer and database specialist with a focus on scalable NoSQL solutions. He has worked extensively with Couchbase in developing real-world applications and is passionate about teaching others the intricacies of database systems. Henry's writing style makes advanced concepts accessible and practical for readers of all levels. Who is it for? This book is crafted for developers, database administrators, and IT professionals who want to learn NoSQL database basics and Couchbase's capabilities. Beginners with no prior experience in NoSQL will find step-by-step guidance, and experienced developers can expand their skill set to include Couchbase. A familiarity with Java programming will be helpful but is not mandatory.

"Apache Cassandra Essentials" is your guide to understanding and mastering the core concepts of Apache Cassandra. Whether you're setting up your first Cassandra cluster or optimizing performance, this book provides actionable steps and insights to help you design highly responsive database architectures. What this Book will help me do Set up and configure a Cassandra cluster for optimal performance. Design schemas in Cassandra using CQL for evenly distributed data. Employ tools to monitor and maintain Cassandra clusters effectively. Debug queries to improve database query performance. Tune Cassandra to adapt to specific operational environments. Author(s) Nitin Padalia, the author, is an experienced database engineer with a deep understanding of distributed systems. With years of experience working with Apache Cassandra and similar technologies, he has dedicated his efforts to simplifying complex concepts for developers. His clear and straightforward writing helps readers build expertise efficiently. Who is it for? This book is perfect for developers who are already familiar with Cassandra and want a deeper understanding of its architecture and functionality. If you're interested in diving into the non-relational aspects of Cassandra or need guidance on database optimization, you'll find this book invaluable. It's designed for those ready to advance their skills and maximize the potential of their Cassandra deployments.

IBM® Spectrum Virtualize Software Version 7.5 provides software-defined storage capabilities across various platforms, including IBM SAN Volume Controller, IBM Storwize® V7000, Storwize V7000 (Unified), Storwize V5000, Storwize V3700, and Storwize V3500. These offerings help clients reduce the complexities and cost of managing their storage in the following ways: Centralizing management of storage volumes to enable administrators to manage storage volumes from a single point Improving utilization of storage capacity with virtual volumes to enable businesses to tap into previously unused disk capacity Avoiding downtime for backups, maintenance, and upgrades Performing data migration without disruption to applications Enabling all storage devices to be organized into storage pools from which virtual volumes, whether standard, compressed, or thin-provisioned, are created with the characteristics that you want Delivering automation of storage management with SmartCloud Virtual Storage Center, IBM Tivoli® Storage Productivity Center (as applicable by platform), and IBM Tivoli Storage FlashCopy® Manager (as applicable by platform) Increasing the performance efficiency of storage pools with IBM Easy Tier® Restoring data access quickly with near and remote copy capabilities across Fibre Channel (FC), Fibre Channel over Ethernet (FCoE), and IP networks In this IBM Redbooks® publication, which is aimed at storage administrators and technical professionals, we describe the IBM HyperSwap® capability in IBM Spectrum™ Virtualize Software V7.5. HyperSwap delivers high availability (HA) and disaster recovery (DR) in one solution and reuses capital investments to achieve a range of recovery and management options that are transparent to host operations. This book describes how you can use HyperSwap with VMware to create an environment that can withstand robust workloads.

This IBM® Redbooks® publication helps you with the integration of IBM PureApplication® System and IBM PureApplication Software into an existing data center. This publication describes certain scenarios that are considered critical (based on IBM client experiences) for a successful implementation of PureApplication Software or PureApplication System into an existing data center. It covers the planning, installation, and configuration of both PureApplication System and PureApplication Software. Both PureApplication System and PureApplication Software offer on-premises solutions that use proven patterns to extend your applications, reduce cost and complexity, and ease management. This book is useful for solution specialists, system or software architects, and the IT teams who need more in-depth knowledge about the integration of PureApplication System and PureApplication Software.

Elasticsearch in Action teaches you how to build scalable search applications using Elasticsearch. You'll ramp up fast, with an informative overview and an engaging introductory example. Within the first few chapters, you'll pick up the core concepts you need to implement basic searches and efficient indexing. With the fundamentals well in hand, you'll go on to gain an organized view of how to optimize your design. Perfect for developers and administrators building and managing search-oriented applications. About the Technology Modern search seems like magic'you type a few words and the search engine appears to know what you want. With the Elasticsearch real-time search and analytics engine, you can give your users this magical experience without having to do complex low-level programming or understand advanced data science algorithms. You just install it, tweak it, and get on with your work. About the Book Elasticsearch in Action teaches you how to write applications that deliver professional quality search. As you read, you'll learn to add basic search features to any application, enhance search results with predictive analysis and relevancy ranking, and use saved data from prior searches to give users a custom experience. This practical book focuses on Elasticsearch's REST API via HTTP. Code snippets are written mostly in bash using cURL, so they're easily translatable to other languages. What's Inside What is a great search application? Building scalable search solutions Using Elasticsearch with any language Configuration and tuning About the Reader This book is for developers and administrators building and managing search-oriented applications. About the Authors Radu Gheorghe is a search consultant and software engineer. Matthew Lee Hinman develops highly available, cloud-based systems. Roy Russo is a specialist in predictive analytics. Quotes To understand how a modern search infrastructure works is a daunting task. Radu, Matt, and Roy make it an engaging, hands-on experience. - Sen Xu, Twitter Inc. An indispensable guide to the challenges of search of semi-structured data. - Artur Nowak, Evidence Prime The best resource for a complex topic. Highly recommended. - Daniel Beck, juris GmbH Took me from confused to confident in a week. - Alan McCann, Givsum.com

Gain a competitive edge with IBM Streams Turn data-in-motion into solid business opportunities with IBM Streams and let Streaming Analytics with IBM Streams show you how. This comprehensive guide starts out with a brief overview of different technologies used for big data processing and explanations on how data-in-motion can be utilized for business advantages. You will learn how to apply big data analytics and how they benefit from data-in-motion. Discover all about Streams starting with the main components then dive further with Stream instillation, and upgrade and management capabilities including tools used for production. Through a solid understanding of big in motion, detailed illustrations, Endnotes that provide additional learning resources, and end of chapter summaries with helpful insight, data analysists and professionals looking to get more from their data will benefit from expert insight on: Data-in-motion processing and how it can be applied to generate new business opportunities The three approaches to processing data in motion and pros and cons of each The main components of Streams from runtime to installation and administration Multiple purposes of the Text Analytics toolkit The evolving Streams ecosystem A detailed roadmap for programmers to quickly become fluent with Streams Data-in-motion is rapidly becoming a business tool used to discover more about customers and opportunities, however it is only valuable if have the tools and knowledge to analyze and apply. This is an expert guide to IBM Streams and how you can harness this powerful tool to gain a competitive business edge.

Leaders and Managers want quick answers, quick ways to reach solutions, ways and means to access knowledge that won’t eat into their precious time and quick ideas that deliver a big result. The Little Book of Big Decision Models cuts through all the noise and gives managers access to the very best decision-making models that they need to to keep things moving forward. Every model is quick and easy to read and delivers the essential information and know-how quickly, efficiently and memorably.

Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. This O’Reilly report examines how today’s distributed, in-memory database management systems (IMDBMS) enable you to make quick decisions based on real-time data. In this report, executives from MemSQL Inc. provide options for using in-memory architectures to build real-time data pipelines. If you want to instantly track user behavior on websites or mobile apps, generate reports on a changing dataset, or detect anomalous activity in your system as it occurs, you’ll learn valuable lessons from some of the largest and most successful tech companies focused on in-memory databases. Explore the architectural principles of modern in-memory databases Understand what’s involved in moving from data silos to real-time data pipelines Run transactions and analytics in a single database, without ETL Minimize complexity by architecting a multipurpose data infrastructure Learn guiding principles for developing an optimally architected operational system Provide persistence and high availability mechanisms for real-time data Choose an in-memory architecture flexible enough to scale across a variety of deployment options Conor Doherty, Data Engineer at MemSQL, is responsible for creating content around database innovation, analytics, and distributed systems. Gary Orenstein, Chief Marketing Officer at MemSQL, leads marketing strategy, product management, communications, and customer engagement. Kevin White is the Director of of Operations and a content contributor at MemSQL. Steven Camiña is a Principal Product Manager at MemSQL. His experience spans B2B enterprise solutions, including databases and middleware platforms.

Deliver continuous access to timely and accurate BI across your enterprise using the detailed information in this Oracle Press guide. Through clear explanations and practical examples, a team of Oracle experts shows how to assimilate data from disparate sources into a single, unified view. Find out how to transform data in real time, handle replication and migration, and deploy Oracle Data Integrator and Oracle GoldenGate. Oracle Data Integration: Tools for Harnessing Data offers complete coverage of the latest “big data” hardware and software solutions . · Efficiently move data both inside and outside an Oracle environment · Map sources to database fields using Data Merge and ETL · Export schema through transportable tablespaces and Oracle Data Pump · Capture and apply changes across heterogeneous systems with Oracle GoldenGate · Seamlessly exchange information between databases using Oracle Data Integrator · Correct errors and maximize quality through data cleansing and validation · Plan and execute successful Oracle Database migrations and replications · Handle high-volume transactions with Oracle Big Data Appliance, Oracle NoSQL, and third-party utilities

Cassandra Design Patterns is your guide to harnessing the full potential of Apache Cassandra's distributed database capabilities through advanced design practices. Whether you're migrating from an RDBMS or implementing scalable storage for big data, this book provides clear strategies, practical examples, and real-world use cases demonstrating effective design patterns. What this Book will help me do Learn to integrate Cassandra with existing RDBMS solutions, enabling hybrid data architecture. Understand and implement key design patterns for distributed, scalable databases. Master the transition from RDBMS or cache systems to Cassandra with minimal disruption. Dive into time-series and temporal data patterns unique to Cassandra's strengths. Apply learned design patterns directly to real-world big data scenarios for analytics. Author(s) Rajanarayanan Thottuvaikkatumana, the author of Cassandra Design Patterns, is an expert in distributed systems and holds extensive experience in designing and implementing big data solutions. His hands-on approach to Cassandra is evident throughout the book as he bridges theoretical knowledge with practical applications. Rajanarayanan's approachable writing style aims to make complex concepts accessible. Who is it for? This book is ideal for big data developers and system architects who are familiar with the basics of Cassandra and are looking to deepen their understanding of design patterns for robust applications. Readers should have experience with relational databases and desire to migrate or integrate these concepts with NoSQL systems. Whether you're building solutions for data scalability, high availability, or analytics, Cassandra Design Patterns positions itself as an essential resource.

Master database creation and management Access 2016 Bible is your, comprehensive reference to the world's most popular database management tool. With clear guidance toward everything from the basics to the advanced, this go-to reference helps you take advantage of everything Access 2016 has to offer. Whether you're new to Access or getting started with Access 2016, you'll find everything you need to know to create the database solution perfectly tailored to your needs, with expert guidance every step of the way. The companion website features all examples and databases used in the book, plus trial software and a special offer from Database Creations. Start from the beginning for a complete tutorial, or dip in and grab what you need when you need it — this book gives you an expert Access 2016 companion on call 24/7. Access enables database novices and programmers to store, organize, view, analyze, and share data, as well as build powerful, integrable, custom database solutions — but databases can be complex, and difficult to navigate. This book helps you harness the power of the database with a solid understanding of their purpose, construction, and application. Understand database objects and design systems objects Build forms, create tables, manipulate datasheets, and add data validation Use Visual Basic automation and XML Data Access Page design Exchange data with other Office applications, including Word, Excel, and more From database fundamentals and terminology to XML and Web services, this book has everything you need to maximize Access 2016 and build the database you need.

Your all-access guide to all things Access 2016 If you don't know a relational database from an isolationist table—but still need to figure out how to organize and analyze your data— Access 2016 For Dummies is for you. Written in a friendly and accessible manner, it assumes no prior Access or database-building knowledge and walks you through the basics of creating tables to store your data, building forms that ease data entry, writing queries that pull real information from your data, and creating reports that back up your analysis. Add in a dash of humor and fun, and Access 2016 For Dummies is the only resource you'll need to go from data rookie to data pro! This expanded and updated edition of Access For Dummies covers all of the latest information and features to help data newcomers better understand Access' role in the world of data analysis and data science. Inside, you'll get a crash course on how databases work—and how to build one from the ground up. Plus, you'll find step-by-step guidance on how to structure data to make it useful, manipulate, edit, and import data into your database, write and execute queries to gain insight from your data, and report data in elegant ways. Speak the lingo of database builders and create databases that suit your needs Organize your data into tables and build forms that ease data entry Query your data to get answers right Create reports that tell the story of your data findings If you have little to no experience with creating and managing a database of any sort, Access 2016 For Dummies is the perfect starting point for learning the basics of building databases, simplifying data entry and reporting, and improving your overall data skills.

This IBM® Redbooks® publication describes the IBM MQ Appliance M2000, an application connectivity option that combines secure, reliable IBM MQ messaging with the simplicity and low overall costs of a hardware appliance. This book presents underlying concepts and practical advice for integrating the IBM MQ Appliance M2000 into an IBM MQ infrastructure. Therefore, it is aimed at enterprises that are considering a possible first use of IBM MQ and the IBM MQ Appliance M2000 and those that already identified the appliance as a logical addition to their messaging environment. Details about new functionality and changes in approaches to application messaging are also described. The authors' goal is to help readers make informed design and implementation decisions so that the users can successfully integrate the IBM MQ Appliance M2000 into their environments. A broad understanding of enterprise messaging is required to fully comprehend the details that are provided in this book. Readers are assumed to have at least some familiarity and experience with complimentary IBM messaging products.