This brief book is a basic introduction to SQLite for iOS and Android developers. The book includes a simple introduction to SQL, a discussion of when to use SQLite, and chapters devoted to using SQLite with the most likely programming languages: Java, PHP, Swift and Objective-C. It then goes through adding simple database functionality to an Android or iOS app and finally a chapter on managing the app’s life cycle.

One of the most useful features of today’s modern browsers is the ability to store data right on the user’s computer or mobile device. Even as more people move toward the cloud, client-side storage can still save web developers a lot of time and money, if you do it right. This hands-on guide demonstrates several storage APIs in action. You’ll learn how and when to use them, their plusses and minuses, and steps for implementing one or more of them in your application.

Practical Guide to MongoDB: Architecting, Developing, and Administering MongoDB begins with a short introduction to the basics of NoSQL databases and then introduces readers to MongoDB—the leading document based NoSQL database, acquainting them step-by-step with all aspects of MongoDB. Practical Guide to MongoDB covers the data model, underlying architecture, coding with Mongo Shell, and administrating the MongoDB platform, among other topics. The book also provides clear guidelines and practical examples for architecting, developing, and deploying applications using the MongoDB platform. Database developers, architects, and administrators will find useful information covering all aspects of the MongoDB platform and how to put it to use practically. The "one-size-fits-all" thinking regarding traditional RDBMSs has been challenged in the last few years by the emergence of diversified NoSQL databases. More than 120 NoSQL databases are now available in the market, and the leader by far is MongoDB. With so many companies opting for MongoDB as their NoSQL database of choice, there's a need for a practical how-to combined with expert advice for getting the most out of the software. Practical Guide to MongoDB provides readers with: A solid understanding of NoSQL databases An understanding of how to get started with MongoDB Methodical coverage of the architecture, development, and administration of MongoDB A plethora of "How to’s" enabling you to use the technology most efficiently to solve the problems you face

Everything you need to make the most of building information modeling If you're looking to get involved in the world of BIM, but don't quite know where to start, Building Information Modeling For Dummies is your one-stop guide to collaborative building using one coherent system of computer models rather than as separate sets of drawings. Inside, you'll find an easy-to-follow introduction to BIM and hands-on guidance for understanding drivers for change, the benefits of BIM, requirements you need to get started, and where BIM is headed. The future of BIM is bright—it provides the industry with an increased understanding of predictability, improved efficiency, integration and coordination, less waste, and better value and quality. Additionally, the use of BIM goes beyond the planning and design phase of the project, extending throughout the building life cycle and supporting processes, including cost management, construction management, project management, and facility operation. Now heavily adopted in the U.S., Hong Kong, India, Singapore, France, Canada, and countless other countries, BIM is set to become a mandatory practice in building work in the UK, and this friendly guide gives you everything you need to make sense of it—fast. Demonstrates how BIM saves time and waste on site Shows you how the information generated from BIM leads to fewer errors on site Explains how BIM is based on data sets that describe objects virtually, mimicking the way they'll be handled physically in the real world Helps you grasp how the integration of BIM allows every stage of the life cycle to work together without data or process conflict Written by a team of well-known experts, this friendly, hands-on guide gets you up and running with BIM fast.

Big data is an emerging phenomenon that has enormous implications and impacts upon business strategy, profitability, and process improvements. All service systems generate big data these days, especially human-centered service systems. It has been characterized as the collection, analysis and use of data characterized by the five Vs: volume, velocity, variety, veracity, and value (of data). This booklet will help middle, senior, and executive managers to understand what big data is; how to recognize, collect, process, and analyze it; how to store and manage it; how to obtain useful information from it; and how to assess its contribution to operational, tactical, and strategic decision-making in service-oriented organizations.

No matter what DBMS you are using—Oracle, DB2, SQL Server, MySQL, PostgreSQL—misunderstandings can always arise over the precise meanings of terms, misunderstandings that can have a serious effect on the success of your database projects. For example, here are some common database terms: attribute, BCNF, consistency, denormalization, predicate, repeating group, join dependency. Do you know what they all mean? Are you sure? The New Relational Database Dictionary defines all of these terms and many, many more. Carefully reviewed for clarity, accuracy, and completeness, this book is an authoritative and comprehensive resource for database professionals, with over 1700 entries (many with examples) dealing with issues and concepts arising from the relational model of data. DBAs, database designers, DBMS implementers, application developers, and database professors and students can find the information they need on a daily basis, information that isn’t readily available anywhere else.

The Definitive Guide to MongoDB, Third Edition, is updated for MongoDB 3 and includes all of the latest MongoDB features, including the aggregation framework introduced in version 2.2 and hashed indexes in version 2.4. The Third Edition also now includes Node.js along with Python. MongoDB is the most popular of the "Big Data" NoSQL database technologies, and it's still growing. David Hows from 10gen, along with experienced MongoDB authors Peter Membrey and Eelco Plugge, provide their expertise and experience in teaching you everything you need to know to become a MongoDB pro.

This IBM® Redbooks® publication helps you to become familiar with the technical changes that were introduced to the security areas with IBM z/OS® V2R2. The following chapters are included: - Chapter 1, “RACF updates” on page 1: In this chapter, we describe the read-only auditor attribute, password security enhancements, RACDCERT (granular certificate administration), UNIX search authority, and RACF Remote sharing facility (RRSF). - Chapter 2, “LDAP updates” on page 13: In this chapter, we describe the activity log enhancements, compatibility level upgrade without LDAP outage, dynamic group performance enhancements, and replication of password policy attributes from a read-only replica. - Chapter 3, “PKI updates” on page 21: In this chapter, we describe the Network Authentication Service (KERBEROS) PKINIT, PKI nxm authorization, PKI OCSP enhancement, and RACDCERT (granular certificate administration) - Chapter 4, “z/OS UNIX search and file execution authority” on page 27: z/OS UNIX search authority, z/OS UNIX file execution, Examples for exploiting the new functions This book is one of a series of IBM Redbooks that take a modular approach to providing information about the updates that are included with z/OS V2R2. This approach has the following goals: - Provide modular content - Group the technical changes into a topic - Provide a more streamlined way of finding relevant information that is based on the topic We hope you find this approach useful and we welcome your feedback.

This IBM® Redbooks® publication helps you to become familiar with the technical changes that were introduced into the Storage Management and Utilities areas with IBM z/OS V2R2. This book is one of a series of IBM Redbooks that take a modular approach to providing information about the updates that are included with z/OS V2R2. This approach has the following goals: - Provide modular content - Group the technical changes into a topic - Provide a more streamlined way of finding relevant information that is based on the topic We hope you find this approach useful and we welcome your feedback.

Apache Oozie Essentials serves as your guide to mastering Apache Oozie, a powerful workflow scheduler for Hadoop environments. Through lucid explanations and practical examples, you will learn how to create, schedule, and enhance workflows for data ingestion, processing, and machine learning tasks using Oozie. What this Book will help me do Install and configure Apache Oozie in your Hadoop environment to start managing workflows. Develop seamless workflows that integrate tools like Hive, Pig, and Sqoop to automate data operations. Set up coordinators to handle timed and dependent job executions efficiently. Deploy Spark jobs within your workflows for machine learning on large datasets. Harness Oozie security features to improve your system's reliability and trustworthiness. Author(s) Authored by None Singh, a seasoned developer with a deep understanding of big data processing and Apache Oozie. With their practical experience, the book intersperses technical detail with real-world examples for an effective learning experience. The author's goal is to make Oozie accessible and useful to professionals. Who is it for? This book is ideal for data engineers and Hadoop professionals looking to streamline their workflow management using Apache Oozie. Whether you're a novice to Oozie or aiming to implement complex data and ML pipelines, the book offers comprehensive guidance tailored to your needs.

Transforming data from operational data models to purpose-oriented data structures has been commonplace for the last decades. Data transformations are heavily used in all types of industries to provide information to various users at different levels. Depending on individual needs, the transformed data is stored in various different systems. Sending operational data to other systems for further processing is then required, and introduces much complexity to an existing information technology (IT) infrastructure. Although maintenance of additional hardware and software is one component, potential inconsistencies and individually managed refresh cycles are others. For decades, there was no simple and efficient way to perform data transformations on the source system of operational data. With IBM® DB2® Analytics Accelerator, DB2 for z/OS is now in a unique position to complete these transformations in an efficient and well-performing way. DB2 for z/OS completes these while connecting to the same platform as for operational transactions, helping you to minimize your efforts to manage existing IT infrastructure. Real-time analytics on incoming operational transactions is another demand. Creating a comprehensive scoring model to detect specific patterns inside your data can easily require multiple iterations and multiple hours to complete. By enabling a first set of analytical functionality in DB2 Analytics Accelerator, those dedicated mining algorithms can now be run on an accelerator to efficiently perform these modeling tasks. Given the speed of query processing on an accelerator, these modeling tasks can now be performed much quicker compared to traditional relational database management systems. This speed enables you to keep your scoring algorithms more up-to-date, and ultimately adapt more quickly to constantly changing customer behaviors. This IBM Redbooks® publication describes the new table type that is introduced with DB2 Analytics Accelerator V4.1 PTF5 that enables more efficient data transformations. These tables are called accelerator-only tables, and can exist on an accelerator only. The tables benefit from the accelerator performance characteristics, while maintaining access through existing DB2 for z/OS application programming interfaces (APIs). Additionally, we describe the newly introduced analytical capabilities with DB2 Analytics Accelerator V5.1, putting you in the position to efficiently perform data modeling for online analytical requirements in your DB2 for z/OS environment. This book is intended for technical decision-makers who want to get a broad understanding about the analytical capabilities and accelerator-only tables of DB2 Analytics Accelerator. In addition, you learn about how these capabilities can be used to accelerate in-database transformations and in-database analytics in various environments and scenarios, including the following scenarios: Multi-step processing and reporting in IBM DB2 Query Management Facility™, IBM Campaign, or Microstrategy environments In-database transformations using IBM InfoSphere® DataStage® Ad hoc data analysis for data scientists In-database analytics using IBM SPSS® Modeler

Get a fast start to using AlwaysOn, the SQL Server solution to high-availability and disaster recovery. Read this short, 150-page book that is adapted from Peter Carter’s Pro SQL Server Administration to gain a solid and accurate understanding of how to implement systems requiring consistent and continuous uptime. Begin with an introduction to high-availability and disaster recovery concepts such as Recovery Point Objectives (RPOs), Recovery Time Objectives (RTO), availability levels, and the cost of downtime. Then move into detailed coverage of implementing and configuring the AlwaysOn feature set in order to meet the business objectives set by your organization. offers real-world advice on how to build and configure the most appropriate topology to meet the high-availability and disaster recovery requirements you are faced with. Content includes strong coverage on implementing clusters, on building AlwaysOn failover clustered instances, and on configuring AlwaysOn Availability Groups. This is a practical and hand-on book to get you started quickly in using one of the most talked-about SQL Server feature sets. SQL Server AlwaysOn Revealed Teaches you to build HA and DR solutions using the AlwaysOn feature set Provides real-world advice on configuration and performance considerations Demonstrates administrative techniques for the AlwaysOn feature set

The IBM® CICS® Interdependency Analyzer (CICS IA®) is a runtime tool for use with IBM CICS Transaction Server for z/OS®. CICS IA allows both system programmers and application developers to get an understanding of the relationships and dependencies of your CICS applications and the environment on which they run. By analyzing data collected by CICS IA, you can make changes to your environment in a safe and controlled but timely manner to address changing demands on your business applications. In this IBM Redbooks® publication, we first provide a detailed overview of what CICS IA is and what business issues it addresses before we review how to configure CICS IA to collect the data that you require with the minimum provenance impact. We then show how you can analyze this data to assist with day-to-day application changes and major projects such as application onboarding.

Automated Clearing House (ACH) payment volume is increasing every year. NACHA estimates that ACH payments crossed 21 billion several years ago. Financial institutions are re-evaluating their current payment platforms. Financial Transaction Manager is a single interface that can handle ACH needs that cross various platforms. IBM® Financial Transaction Manager for ACH Services provides pre-built support for processing all ACH transactions that flow through financial systems. This includes ingestion, validation, transaction management, and distribution. The robust rules-based environment handles payment routing and exception management, and an automated import and export facility handles ACH processing rules. Further functions include administration, process management, data warehousing, and reporting and extracts. This IBM Redbooks® publication is written for the business analyst (banker), and the computer administrators responsible for configuration of the system. A business analyst can use this book to see what process within Financial Transaction Manger are associated with their banking terms. A bridge is built from banking terms to configuration terms. A system administrator can look into this publication to see exactly how to configure Financial Transaction Manager for ACH to the needs of their financial institution. By creating reference points for both the business analyst and the system administrator, communication and understanding is enhanced as both teams understand each other's terminology and how to use Financial Transaction Manager for ACH.

IBM® Wave for z/VM® (IBM Wave) is a virtualization management solution for IBM z/VM and Linux on z Systems™. This virtualization management software provides a simplified and cost-effective way for companies to harness the consolidation capabilities of the IBM z™ Systems platform and its ability to host the workloads of tens of thousands of commodity servers. IBM Wave is a complete management solution for z Systems based virtual server farms. This IBM Redbooks® publication provides a guide to understanding IBM Wave by providing information about the IBM Wave architecture and how it fits into the cloud. This publication also provides a planning and design guide that is based on common scenarios. This publication also provides installation and configuration task information and how to manage and operate the environment. The intended audience for this publication is IT Architects who are responsible for planning their IBM Wave environments and IT Specialists who are responsible for implementing them.

Dive into "SAP Data Services 4.x Cookbook" to master the SAP Data Services platform and learn how to efficiently prepare, implement, and optimize ETL processes. This comprehensive guide makes it easy for you to understand both fundamental and advanced techniques of this powerful tool. What this Book will help me do Develop a thorough understanding of SAP Data Services concepts and architecture. Effectively set up and configure an ETL environment using SAP Data Services. Master advanced ETL design techniques to process and manipulate data effectively. Gain expertise in data cleansing, validation, and applying data quality methods. Build real-time ETL workflows and integrate various data systems seamlessly. Author(s) None Shomnikov is an experienced IT professional specializing in SAP Data Services and ETL processes. With years of practical experience, they bring a wealth of knowledge to help readers grasp concepts quickly and apply them effectively. None enjoys sharing practical solutions to complex problems in a clear and approachable manner. Who is it for? This book is ideal for IT professionals and engineers who are seeking to deepen their understanding of SAP Data Services. Readers should have a basic background in programming concepts and SQL to fully benefit from this book. It is particularly suited for professionals involved in ETL development and data quality management. By the end of the book, you will have a strong grasp of building reliable ETL workflows and managing data services efficiently.

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.