This book is your introduction in the world of graph databases, and the benefits they can bring to your applications. Neo4j is the most established graph database on the market, and it's always improving to bring more of its benefits to you. Beginning Neo4j will take you from the installation of Neo4j through to building a full application with Neo4j at its heart, and everything in between. Using this book, you'll get everything up and running, and then learn how to use Neo4j to build up recommendations, relationships, and calculate the shortest route between two locations. With example data models, and an application putting everything together, this book will give you everything you need to really get started with Neo4j. Neo4j is being used by social media and ecommerce industry giants. You can take advantage of Neo4j's powerful features and benefits - add Beginning Neo4j to your library today.

This book is a step-by-step guide for learning how to use Spark for different types of big-data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, MLlib, and Spark ML. Big Data Analytics with Spark shows you how to use Spark and leverage its easy-to-use features to increase your productivity. You learn to perform fast data analysis using its in-memory caching and advanced execution engine, employ in-memory computing capabilities for building high-performance machine learning and low-latency interactive analytics applications, and much more. Moreover, the book shows you how to use Spark as a single integrated platform for a variety of data processing tasks, including ETL pipelines, BI, live data stream processing, graph analytics, and machine learning. The book also includes a chapter on Scala, the hottest functional programming language, and the language that underlies Spark. You’ll learn the basics of functional programming in Scala, so that you can write Spark applications in it. What's more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, such as HDFS, Avro, Parquet, Kafka, Cassandra, HBase, Mesos, and so on. It also provides an introduction to machine learning and graph concepts. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to have is some programming knowledge in any language.

This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications. The relational database (RDBMS) model completely dominated database technology for over 20 years. Today this "one size fits all" stability has been disrupted by a relatively recent explosion of new database technologies. These paradigm-busting technologies are powering the "Big Data" and "NoSQL" revolutions, as well as forcing fundamental changes in databases across the board. Deciding to use a relational database was once truly a no-brainer, and the various commercial relational databases competed on price, performance, reliability, and ease of use rather than on fundamental architectures. Today we are faced with choices between radically different database technologies. Choosing the right database today is a complex undertaking, with serious economic and technological consequences. Next Generation Databases demystifies today’s new database technologies. The book describes what each technology was designed to solve. It shows how each technology can be used to solve real word application and business problems. Most importantly, this book highlights the architectural differences between technologies that are the critical factors to consider when choosing a database platform for new and upcoming projects. Introduces the new technologies that have revolutionized the database landscape Describes how each technology can be used to solve specific application or business challenges Reviews the most popular new wave databases and how they use these new database technologies

Master the SAP product ecosystem, the client environment, and the feasibility of implementing critical business process with the required technical and functional configuration. SAP Project Management Pitfalls is the first book to provide you with real examples of the pitfalls that you can avoid, providing you with a road-map to a successful implementation. Jay Kay, a SAP Program Manager for Capgemini, first takes a deep dive into common pitfalls in implementing SAP ERP projects in a complex IT landscape. You will learn about the potential causes of failures, study a selection of relevant project implementation case studies in the area, and see a range of possible countermeasures. Jay Kay also provides background on each - the significance of each implementation area, its relevance to a service company that implements SAP projects, and the current state of research. Key highlights of the book: Tools and techniques for project planning and templates for allocating resources Industry standards and innovations in SAP implementation projects in the form of standard solutions aimed at successful implementation Managing SAP system ECC upgrades, EHP updates and project patches Learn effective ways to implement robust SAP release management practices (change management, BAU) Wearing a practitioner’s insight, Jay Kay explores the relevance of each failed implementation scenario and how to support your company or clients to succeed in a SAP implementation. There are many considerations when implementing SAP, but as you will learn, knowledge, insight, and effective tools to mitigate risks can take you to a successful implementation project.

Dive into the world of geospatial analysis with Python in this comprehensive guide. This book will take you through the essentials of GIS, remote sensing, elevation data, and real-time data, all using Python. You will learn to analyze and visualize geospatial data effectively, building skills and understanding that are practical and relevant. What this Book will help me do Automate geospatial workflows using Python. Create thematic maps with Python tools for better spatial insights. Understand various forms of geospatial data and how to manage them. Develop GIS applications and elevation data models using minimal lines of Python code. Utilize Python for real-time data tracking and storm modeling. Author(s) Joel Lawhead is an experienced geospatial software developer and Python programmer with extensive expertise in GIS and geospatial data analysis. With a deep understanding of Python's applications in geography, Joel brings a practical focus to his writing. His engaging style ensures that technical concepts are accessible and thoroughly explained. Who is it for? This book is ideal for Python developers, researchers, and analysts who want to enhance their GIS and geospatial analysis capabilities. If you are familiar with Python or another scripting language and have a foundational understanding of digital mapping, this book will help you advance your knowledge and skills. Whether you're analyzing spatial data or building geospatial applications, this guide is made for you.

Elasticsearch Indexing focuses on empowering developers to create optimized and user-friendly search experiences using Elasticsearch. By learning how to configure indices and mapping strategies, and leveraging analyzers effectively, you will gain proficiency in delivering fast and relevant search results tailored to modern user expectations. What this Book will help me do Understand how Elasticsearch stores data and how it reduces costs Develop advanced mapping strategies to improve index performance Utilize Elasticsearch analyzers for efficient search query processing Optimize ElasticSearch clusters for scalability and stability Perform strategic indexing to minimize resource usage while maximizing functionality Author(s) Huseyin Akdogan is a seasoned software developer specializing in search technologies and scalability. With his deep expertise and practical insights, he brings a metric-driven approach to optimizing Elasticsearch. His book reflects his dedication to making technical concepts accessible and actionable for developers. Who is it for? This book is ideal for developers looking to gain expertise in Elasticsearch. It caters to individuals with a foundational understanding of search systems who wish to optimize their indexing and search result delivery. If you are focused on improving user search experiences tailored to scalable needs, this book is perfect for you.

Build an enterprise search engine using Apache Solr: index and search documents; ingest data from varied sources; apply various text processing techniques; utilize different search capabilities; and customize Solr to retrieve the desired results. Apache Solr: A Practical Approach to Enterprise Search explains each essential concept--backed by practical and industry examples--to help you attain expert-level knowledge. The book, which assumes a basic knowledge of Java, starts with an introduction to Solr, followed by steps to setting it up, indexing your first set of documents, and searching them. It then introduces you to information retrieval and its implementation in Apache Solr; this will help you understand your search problem, decide the approach to build an effective solution, and use various metrics to evaluate the results. The book next covers the schema design and techniques to build a text analysis chain for cleansing, normalizing and enriching your documents and addressing different types of search queries. It describes various popular matching techniques which are generally applied to improve the precision and recall of searches. You will learn the end-to-end process of data ingestion from varied sources, metadata extraction, pre-processing and transformation of content, various search components, query parsers and other advanced search capabilities. After covering out-of-the-box features, Solr expert Dikshant Shahi dives into ways you can customize Solr for your business and its specific requirements, along with ways to plug in your own components. Most important, you will learn about implementations for Solr scoring, factors affecting the document score, and tuning the score for the application at hand. The book explains why textual scoring is not sufficient for practical ranking of documents and ways to integrate real-world factors for contributing to the document ranking. You'll see how to influence user experience by providing suggestions and recommendations. You'll also see integration of Solr with important related technologies such as OpenNLP and Tika. Additionally, you will learn about scaling Solr using SolrCloud. This book concludes with coverage of semantic search capabilities, which is crucial for taking the search experience to the next level. By the end of Apache Solr, you will be proficient in designing and developing your search engine.

Dive into the world of Apache Solr with this focused guide on indexing. Learn to harness Solr's powerful indexing features through real-world examples that help you efficiently fetch relevant data. From setting up Solr to mastering advanced techniques, this book ensures you are equipped to program and optimize Solr for a variety of applications. What this Book will help me do Gain a solid understanding of Solr indexing, analyzers, and tokenizers. Index diverse data sources, such as databases and documents, using Solr. Utilize Apache Tika to process PDFs and integrate Apache Nutch for web crawling. Implement distributed data indexing and facilitate real-time index updates. Apply learned indexing techniques to create robust solutions like e-commerce applications. Author(s) None Handiekar and None Johri are seasoned Apache Solr experts with years of practical experience. Having worked on diverse projects, they bring an enriched understanding of indexing and optimization. Their writing reflects a hands-on approach aimed at developers keen on mastering Solr effectively and efficiently. Who is it for? This book is designed for developers who are new to Solr yet aspire to deepen their understanding of its indexing capabilities. If you are interested in learning how to index using Solr's rich set of functionalities, this guide is for you. It provides practical steps for developers at an introductory level to start building more complex solutions. Perfect for developers eager to optimize their Solr indexing.

Learning RabbitMQ offers developers and system administrators a clear and practical guide to mastering RabbitMQ, the popular message-broker solution. By going through concrete scenarios and examples, this book equips you with the skills to configure, manage, and optimize RabbitMQ instances effectively. What this Book will help me do Understand and apply common messaging patterns using RabbitMQ. Set up and manage RabbitMQ clusters with high availability. Integrate RabbitMQ with popular tools like Spring, MuleESB, and Docker. Optimize RabbitMQ performance and ensure secure messaging. Troubleshoot and extend RabbitMQ for different use cases. Author(s) None Toshev, the author of Learning RabbitMQ, is an expert in middleware and distributed systems, with extensive hands-on experience working with message brokers. Toshev's practical approach and clear explanations make complex topics easy to understand, helping readers effectively apply best practices when using RabbitMQ. Who is it for? This book is for developers and system administrators who aim to incorporate RabbitMQ as part of their applications. Beginners with a basic understanding of messaging will find it foundational, while experienced users will appreciate the advanced insights on integration, performance tuning, and troubleshooting.

The W3C XQuery 3.1 standard provides a tool to search, extract, and manipulate content, whether it's in XML, JSON or plain text. With this fully updated, in-depth tutorial, you’ll learn to program with this highly practical query language. Designed for query writers who have some knowledge of XML basics, but not necessarily advanced knowledge of XML-related technologies, this book is ideal as both a tutorial and a reference. You’ll find background information for namespaces, schemas, built-in types, and regular expressions that are relevant to writing XML queries.

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.