As workloads are being offloaded to IBM® z Systems™ based cloud environments, it is important to ensure that these workloads and environments are secure. This IBM Redbooks® publication describes the necessary steps to secure your environment for all of the components that are involved in a z Systems cloud infrastructure that uses IBM z/VM® and Linux on z Systems. The audience for this book is IT architects and those planning to use z Systems for their cloud environments.

This IBM® Redbooks® publication gives a broad understanding of integrated catalog facility (ICF) catalog environments. It includes suggestions for design, planning, and deployment tasks to help you create and maintain a balanced and efficient catalog environment. Four scenarios are provided to illustrate sample implementations of typical activities that are associated with an organization’s requirements. Chapter 5, “Record-level sharing support for ICF catalogs” describes Record Level Sharing (RLS) for Catalogs and shows the results of our tests in a controlled laboratory environment. This version of the book is set at the IBM z/OS V2R2 level. This publication is for readers who want to gain an understanding of ICF catalogs and the considerations and practices that surround an ICF catalog environment deployment.

Dynamic organizations want to accelerate growth while reducing costs. To do so, they must speed the deployment of business applications and adapt quickly to any changes in priorities. Organizations today require an IT infrastructure that is easy, efficient, and versatile. The VersaStack solution by Cisco and IBM® can help you accelerate the deployment of your data centers. It reduces costs by more efficiently managing information and resources while maintaining your ability to adapt to business change. The VersaStack solution combines the innovation of Cisco UCS Integrated Infrastructure with the efficiency of the IBM Storwize® storage system. The Cisco UCS Integrated Infrastructure includes the Cisco Unified Computing System (Cisco UCS), Cisco Nexus and Cisco MDS switches, and Cisco UCS Director. The IBM FlashSystem® V9000 enhances virtual environments with its Data Virtualization, IBM Real-time Compression™, and IBM Easy Tier® features. These features deliver extraordinary levels of performance and efficiency. The VersaStack solution is Cisco Application Centric Infrastructure (ACI) ready. Your IT team can build, deploy, secure, and maintain applications through a more agile framework. Cisco Intercloud Fabric capabilities help enable the creation of open and highly secure solutions for the hybrid cloud. These solutions accelerate your IT transformation while delivering dramatic improvements in operational efficiency and simplicity. Cisco and IBM are global leaders in the IT industry. The VersaStack solution gives you the opportunity to take advantage of integrated infrastructure solutions that are targeted at enterprise applications, analytics, and cloud solutions. The VersaStack solution is backed by Cisco Validated Designs (CVD) to provide faster delivery of applications, greater IT efficiency, and less risk. This IBM Redbooks® publication is aimed at experienced storage administrators who are tasked with deploying a VersaStack solution with Oracle Real Application Clusters (RAC) and IBM Spectrum™ Protect.

Why have stream-oriented data systems become so popular, when batch-oriented systems have served big data needs for many years? In this report, author Dean Wampler examines the rise of streaming systems for handling time-sensitive problems—such as detecting fraudulent financial activity as it happens. You’ll explore the characteristics of fast data architectures, along with several open source tools for implementing them. Batch-mode processing isn’t going away, but exclusive use of these systems is now a competitive disadvantage. You’ll learn that, while fast data architectures are much harder to build, they represent the state of the art for dealing with mountains of data that require immediate attention. Learn step-by-step how a basic fast data architecture works Understand why event logs are the core abstraction for streaming architectures, while message queues are the core integration tool Use methods for analyzing infinite data sets, where you don’t have all the data and never will Take a tour of open source streaming engines, and discover which ones work best for different use cases Get recommendations for making real-world streaming systems responsive, resilient, elastic, and message driven Explore an example streaming application for the IoT: telemetry ingestion and anomaly detection for home automation systems

Up-to-date Microsoft SQL Server 2016 skills made easy! Get up and running on Microsoft SQL Server 2016 in no time with help from this thoroughly revised, practical resource. The book offers thorough coverage of SQL management and development and features full details on the newest business intelligence, reporting, and security features. Filled with new real-world examples and hands-on exercises, Microsoft SQL Server 2016: A Beginner's Guide, Sixth Edition , starts by explaining fundamental relational database system concepts. From there, you will learn how to write Transact-SQL statements, execute simple and complex database queries, handle system administration and security, and use the powerful analysis and BI tools. XML, spatial data, and full-text search are also covered in this step-by-step tutorial. · Revised from the ground up to cover the latest version of SQL Server · Ideal both as a self-study guide and a classroom textbook · Written by a prominent professor and best-selling author

Organizations of all sizes face the challenge of managing massive volumes of increasingly valuable data. But storing this data can be costly, and extracting value from the data is becoming more difficult. IT organizations have limited resources but must stay responsive to dynamic environments and act quickly to consolidate, simplify, and optimize their IT infrastructures. The IBM® Storwize® V5000 Gen2 system provides a smarter solution that is affordable, easy to use, and self-optimizing, which enables organizations to overcome these storage challenges. The Storwize V5000 Gen2 delivers efficient, entry-level configurations that are designed to meet the needs of small and midsize businesses. Designed to provide organizations with the ability to consolidate and share data at an affordable price, the Storwize V5000 Gen2 offers advanced software capabilities that are found in more expensive systems. This IBM Redbooks® publication is intended for pre-sales and post-sales technical support professionals and storage administrators. It applies to the Storwize V5030, V5020, and V5010. The concepts in this book also relate to the IBM Storwize V3700 where applicable.

Abstract This IBM® Redbooks® publication is based on the Presentations Guide of the course "Essentials of Cloud Application Development on IBM Bluemix" that was developed by the IBM Redbooks team in partnership with IBM Middle East and Africa (MEA) University Program. This course is designed to teach university students the basic skills that are required to develop, deploy, and test cloud-based applications that use the IBM Bluemix® cloud services. The primary target audience for this course is university students in undergraduate computer science and computer engineer programs with no previous experience working in cloud environments. However, anyone new to cloud computing can benefit from this course. After completing this course, you should be able to accomplish these tasks: Describe the factors that lead to the adoption of cloud computing. Describe infrastructure as a service, platform as a service, and software as a service. Define cloud computing. Describe IBM Bluemix. Describe the architecture of IBM Bluemix. Identify the runtimes and services that Bluemix offers. Explain how to get started with Bluemix. Describe Bluemix organizations, domains, spaces, and users. Create Bluemix applications. Use services in a Bluemix application. Set environmental variables that are used with Bluemix services. Deploy and run Bluemix applications. Describe how to create an IBM SDK for Node.js application that runs on Bluemix. Explain how to manage a Bluemix account with the Cloud Foundry CLI.[ ]Describe how to integrate workstation development platforms with Bluemix. Manage application code and assets with IBM Bluemix DevOps services. Work with the Git repository that is used by DevOps services. Describe the characteristics of REST APIs. Describe the use of JSON as the preferred data format for REST APIs. dentify the data services that are available on Bluemix. Describe the features in Bluemix for developing mobile applications. Create a MobileFirst Services Starter application on Bluemix. Send push notifications from Bluemix and receive them on the mobile device emulator. The workshop materials were created in August 2016. Thus, all IBM Bluemix features discussed in this Presentations Guide and Bluemix user interfaces used in the examples are current as of August 2016. Note: This IBM Redbooks publication references exercises that are NOT included with this book. The exercises are only available to students attending the course.

Learn how to use the Apache Hadoop projects, including MapReduce, HDFS, Apache Hive, Apache HBase, Apache Kafka, Apache Mahout, and Apache Solr. From setting up the environment to running sample applications each chapter in this book is a practical tutorial on using an Apache Hadoop ecosystem project. While several books on Apache Hadoop are available, most are based on the main projects, MapReduce and HDFS, and none discusses the other Apache Hadoop ecosystem projects and how they all work together as a cohesive big data development platform. What You Will Learn: Set up the environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5 Run a MapReduce job Store data with Apache Hive, and Apache HBase Index data in HDFS with Apache Solr Develop a Kafka messaging system Stream Logs to HDFS with Apache Flume Transfer data from MySQL database to Hive, HDFS, and HBase with Sqoop Create a Hive table over Apache Solr Develop a Mahout User Recommender System Who This Book Is For: Apache Hadoop developers. Pre-requisite knowledge of Linux and some knowledge of Hadoop is required.

"Hadoop Blueprints" guides you through using Hadoop and its ecosystem to solve real-life business problems. You will explore six case studies covering areas like fraud detection, marketing analysis, and data lakes, providing a thorough and practical understanding of Hadoop applications. What this Book will help me do Understand how to use Hadoop to solve real-life business scenarios effectively. Learn to build a 360-degree customer view integrating different data types. Develop and deploy a fraud detection system leveraging Hadoop technologies. Explore marketing campaign analysis and improvement using data-driven workflows on Hadoop. Gain hands-on experience with creating and maintaining efficient data lakes. Author(s) Sudheesh Narayan, along with his co-authors Anurag Shrivastava and Nod Deshpande, brings extensive experience in Big Data technologies. They have been involved in developing solutions utilizing Hadoop, Apache Spark, and other ecosystem components. Their practical approach to presenting complex technical topics ensures readers can apply their knowledge to real-world scenarios. Who is it for? This book is ideal for software developers, data engineers, and IT professionals who have a foundational understanding of Hadoop and seek to expand their practical skills. Readers should be familiar with Java or other scripting languages. It's perfect for those aiming to build actionable solutions for business problems using Big Data technologies.

Dive into advanced GIS techniques with 'Mastering QGIS,' a comprehensive guide that teaches you how to leverage the full capabilities of the open-source GIS software QGIS. Through practical examples, you'll advance your skills from the fundamentals to professional levels by developing plugins, automating workflows, and mastering data visualization. What this Book will help me do Create comprehensive spatial databases to organize and analyze GIS data effectively. Master advanced styling techniques for professional-quality map presentation. Process vector and raster data, including preparing and analyzing data for specific use cases. Integrate Python scripting to automate GIS data workflows and extend QGIS functionality. Develop custom QGIS plugins to tailor the software to your projects and needs. Author(s) Kurt Menke, GISP, along with co-authors recognized as experts in GIS, share their extensive experience with QGIS. They bring a practical approach aimed at GIS professionals seeking deeper software mastery. Who is it for? This book is ideal for GIS professionals, students, and analysts intending to elevate their QGIS competency. Whether you're looking to switch from proprietary GIS tools or enhance your open-source skillset, this resource provides the expertise required to excel in your field.

Master the Powerful Multitenant Features of Oracle Database 12c Govern a scalable, extensible, and highly available enterprise database environment using the practical information contained in this Oracle Press guide. Written by a team of Oracle Masters, Oracle Database 12c Release 2 Multitenant shows, step-by-step, how to deploy and manage multitenant configurations across IT frameworks of all types and sizes. Find out how to create databases, work with PDBs and CDBs, administer Oracle Net Services, and automate administrative tasks. Backup and recovery, security, and advanced multitenant options are covered in complete detail. Learn how to: • Build high-performance multitenant Oracle databases • Create single-tenant, multitenant, and application containers • Establish network connections and manage services • Handle security using authentication, authorization, and encryption • Back up and restore your mission-critical data • Work with point-in-time recovery and Oracle Flashback • Move data and replicate and clone databases • Work with Oracle’s Resource Manager and Data Guard

Learn to build and implement a robust Oracle E-Business Suite system using the new release, EBS 12.2. This hands-on, real-world guide explains the rationale for using an Oracle E-Business Suite environment in a business enterprise and covers the major technology stack changes from EBS version 11i through R12.2. You will learn to build up an EBS environment from a simple single-node installation to a complex multi-node high available setup. Practical Oracle E-Business Suite focuses on release R12.2, but key areas in R12.1 are also covered wherever necessary. Detailed instructions are provided for the installation of EBS R12.2 in single and multi-node configurations, the logic and methodology used in EBS patching, and cloning of EBS single-node and complex multi-node environments configured with RAC. This book also provides information on FMW used in EBS 12.2, as well as performance tuning and EBS 12.2 on engineered system implementations. Understand Oracle EBS software and the underlying technology stack components Install/configure Oracle E-Business Suite R12.2 in simple and HA complex setups Manage Oracle EBS 12.2 Use online patching (adop) for Installation of Oracle EBS patches Clone an EBS environment in simple and complex configurations Perform and tune Oracle EBS in all layers (Application/DB/OS/NW) Secure E-Business Suite R12.2 Who This Book Is For: Developers, data architects, and data scientists looking to integrate the most successful big data open stack architecture and how to choose the correct technology in every layer

Explore how to leverage Apache Spark for efficient big data analytics and machine learning solutions in "Spark for Data Science". This detailed guide provides you with the skills to process massive datasets, perform data analytics, and build predictive models using Spark's powerful tools like RDDs, DataFrames, and Datasets. What this Book will help me do Gain expertise in data processing and transformation with Spark. Perform advanced statistical analysis to uncover insights. Master machine learning techniques to create predictive models using Spark. Utilize Spark's APIs to process and visualize big data. Build scalable and efficient data science solutions. Author(s) This book is co-authored by None Singhal and None Duvvuri, both accomplished data scientists with extensive experience in Apache Spark and big data technologies. They bring their practical industry expertise to explain complex topics in a straightforward manner. Their writing emphasizes real-world applications and step-by-step procedural guidance, making this a valuable resource for learners. Who is it for? This book is ideally suited for technologists seeking to incorporate data science capabilities into their work with Apache Spark, data scientists interested in machine learning algorithms implemented in Spark, and beginners aiming to step into the field of big data analytics. Whether you are familiar with Spark or completely new, this book offers valuable insights and practical knowledge.

Learn how to integrate full-stack open source big data architecture and to choose the correct technology—Scala/Spark, Mesos, Akka, Cassandra, and Kafka—in every layer. Big data architecture is becoming a requirement for many different enterprises. So far, however, the focus has largely been on collecting, aggregating, and crunching large data sets in a timely manner. In many cases now, organizations need more than one paradigm to perform efficient analyses. Big Data SMACK explains each of the full-stack technologies and, more importantly, how to best integrate them. It provides detailed coverage of the practical benefits of these technologies and incorporates real-world examples in every situation. This book focuses on the problems and scenarios solved by the architecture, as well as the solutions provided by every technology. It covers the six main concepts of big data architecture and how integrate, replace, and reinforce every layer: What You'll Learn The language: Scala The engine: Spark (SQL, MLib, Streaming, GraphX) The container: Mesos, Docker The view: Akka The storage: Cassandra The message broker: Kafka What You Will Learn: Make big data architecture without using complex Greek letter architectures Build a cheap but effective cluster infrastructure Make queries, reports, and graphs that business demands Manage and exploit unstructured and No-SQL data sources Use tools to monitor the performance of your architecture Integrate all technologies and decide which ones replace and which ones reinforce Who This Book Is For Developers, data architects, and data scientists looking to integrate the most successful big data open stack architecture and to choose the correct technology in every layer

Dive into the world of big data with "Big Data Analytics: Real Time Analytics Using Apache Spark and Hadoop." This comprehensive guide introduces readers to the fundamentals and practical applications of Apache Spark and Hadoop, covering essential topics like Spark SQL, DataFrames, structured streaming, and more. Learn how to harness the power of real-time analytics and big data tools effectively. What this Book will help me do Master the key components of Apache Spark and Hadoop ecosystems, including Spark SQL and MapReduce. Gain an understanding of DataFrames, DataSets, and structured streaming for seamless data handling. Develop skills in real-time analytics using Spark Streaming and technologies like Kafka and HBase. Learn to implement machine learning models using Spark's MLlib and ML Pipelines. Explore graph analytics with GraphX and leverage data visualization tools like Jupyter and Zeppelin. Author(s) Venkat Ankam, an expert in big data technologies, has years of experience working with Apache Hadoop and Spark. As an educator and technical consultant, Venkat has enabled numerous professionals to gain critical insights into big data ecosystems. With a pragmatic approach, his writings aim to guide readers through complex systems in a structured and easy-to-follow manner. Who is it for? This book is perfect for data analysts, data scientists, software architects, and programmers aiming to expand their knowledge of big data analytics. Readers should ideally have a basic programming background in languages like Python, Scala, R, or SQL. Prior hands-on experience with big data environments is not necessary but is an added advantage. This guide is created to cater to a range of skill levels, from beginners to intermediate learners.

Speed up the execution of important database queries by making good choices about which indexes to create. Choose correct index types for different scenarios. Avoid indexing pitfalls that can actually have indexes hurting performance rather than helping. Maintain indexes so as to provide consistent and predictable query response over the lifetime of an application. is about the one database structure at the heart of almost all performance concerns: the index. Database system performance is one of the top concerns in information technology today. Administrators struggle to keep up with the explosion of access and activity driven by the proliferation of computing into everything from phones to tablets to PCs in our increasingly connected world. At the heart of any good-performing database lies a sound indexing strategy that makes appropriate use of indexing, and especially of the vendor-specific indexing features on offer. Expert Oracle Indexing and Access Paths Few databases fully exploit the wealth of data access mechanisms provided by Oracle. helps by bringing together information on indexing and how to use it into one blissfully short volume that you can read quickly and have at your fingertips for reference. Learn the different types of indexes available and when each is best applied. Recognize when queries aren't using indexes as you intend. Manage your indexing for maximum performance. Confidently use the In Memory column store feature as an alternate access path to improve performance. Let Expert Indexing in Oracle Database 12c be your guide to deep mastery of the most fundamental performance optimization structure in Oracle Database. Expert Oracle Indexing and Access Paths Explains how indexes help performance, and sometimes hinder it too Demystifies the various index choices so that you can chose rightly Describes the database administration chores associated with indexes Demonstrates the use of the In Memory column store as an alternate access path to the data What You Will Learn Create an overall indexing strategy to guide your decisions Choose the correct indexing mechanisms for your applications Manage and maintain indices to avoid degradation and preserve efficiency Take better advantage of underused index types such as index-organized tables Choose the appropriate columns to index, with confidence Blend partitioning and materialized views into your indexing strategy Who This Book Is For All levels of database administrators and application developers who are struggling with the database performance and scalability challenge. Any database administrator involved with indexing, which is any database administrator period, will appreciate the wealth of advice packed into this gem of a book.

Dive into the advanced features of PostgreSQL and master database development with 'PostgreSQL Development Essentials'. This book guides you step-by-step through topics like advanced SQL queries, database design, query optimization, and using PostgreSQL with programming languages like Java and PHP. By the end, you'll have the skills to build secure, efficient, and enterprise-ready database applications. What this Book will help me do Write powerful and complex SQL queries to harness the full potential of PostgreSQL. Create and optimize robust database designs tailored to application needs. Enhance database performance through indexing, partitioning, and query optimization. Integrate PostgreSQL seamlessly with Java and PHP for advanced application development. Utilize PostgreSQL extensions and features to expand functionality and ensure scalability. Author(s) Baji Shaik, the author of 'PostgreSQL Development Essentials', has extensive experience in database development and optimization with a focus on PostgreSQL. With his practical approach, Baji simplifies advanced concepts and provides actionable insights to empower developers. His teaching style bridges technical depth with accessibility, making this book an essential for professionals aiming to excel in PostgreSQL. Who is it for? This book is designed for software developers and database professionals who have a foundational understanding of PostgreSQL and are eager to deepen their expertise. It is ideal for those looking to enrich their skills in advanced SQL, optimizing database performance, and integrating PostgreSQL with application frameworks like Java and PHP. If you're aiming to elevate your database applications to enterprise-grade quality while ensuring both efficiency and scalability, this book is tailored for you.

Up-to-Date Coverage of Microsoft® SQL Server® 2016 Reporting Services, Including the Mobile Report Publisher Build, publish, and maintain paginated and mobile reports using the expert tips and best practices contained in this hands-on guide. Written by a member of the original Reporting Services development team, Microsoft SQL Server 2016 Reporting Services, Fifth Edition, fully explains the process of creating and distributing reports and shows how to maximize all of the powerful, integrated SSRS capabilities, including the new and enhanced features. A detailed case study and sample reports are featured in this practical resource. • Plan for, install, configure, and customize SQL Server 2016 Reporting Services • Design and generate feature-rich reports using the Report Wizard • Work with Report Designer in Visual Studio, Report Builder, and the Mobile Report Publisher • Incorporate charts, images, gauges, and maps • Enhance your reports through summarizing, totaling, and interactivity • Build reusable report templates • Embed Visual Basic .NET functions and subreports • Enable end-user access via the Report Server and its web portal interface • Integrate SSRS reports with your own websites and custom applications • Follow along with sample reports from the book’s case study

IBM® Power Virtualization Center (IBM® PowerVC™) is an advanced, enterprise virtualization management offering for IBM Power Systems™. This IBM Redbooks® publication introduces PowerVC and helps you understand its functions, planning, installation, and setup. PowerVC Version 1.3.1 supports both large and small deployments, either by managing IBM PowerVM® that is controlled by the Hardware Management Console (HMC) or by IBM PowerVM Novalink, or by managing PowerKVM directly. With this capability, PowerVC can manage IBM AIX®, IBM i, and Linux workloads that run on IBM POWER® hardware, including IBM PurePower systems. PowerVC is available as a Standard Edition, or as a Cloud PowerVC Manager edition. PowerVC Standard Edition includes the following features and benefits: Virtual image capture, deployment, and management Policy-based virtual machine (VM) placement to improve use Management of real-time optimization and VM resilience to increase productivity VM Mobility with placement policies to reduce the burden on IT staff in a simple-to-install and easy-to-use graphical user interface (GUI) Role-based security policies to ensure a secure environment for common tasks IBM Cloud PowerVC Manager includes all of the PowerVC Standard Edition features and adds: A self-service portal that enables user access to the cloud infrastructure on a per-project basis The ability to enable an administrator to enable Dynamic Resource Optimization on a schedule This publication is for experienced users of IBM PowerVM and other virtualization solutions who want to understand and implement the next generation of enterprise virtualization management for Power Systems. Unless stated otherwise, the content of this publication refers to IBM PowerVC Version 1.3.1.

Open data has spurred economic innovation, social transformation, and fresh forms of political and government accountability in recent years, but few people understand how open data works. This comprehensive report, developed with support from Omidyar Network, presents detailed case studies of open data projects throughout the world, along with in-depth analysis of what works and what doesn’t. Authors Andrew Young and Stefaan Verhulst, both with The GovLab at New York University, explain how these projects have made governments more accountable and efficient, helped policymakers find solutions to previously intractable public problems, created new economic opportunities, and empowered citizens through new forms of social mobilization. This report includes: Recommendations and implementation steps for policymakers, entrepreneurs, and activists looking to leverage open data Key challenges, such as resource shortages and inadequate privacy or security protections Four conditions that enable open data to work—including organizational partnerships and collaborations Case studies of open data projects for improving government in Brazil, Sweden, Slovakia, and other countries Projects for empowering citizens in Tanzania, Kenya, Mexico, and Uruguay New business opportunities enabled by open weather, geo-location, and market research data Public problem-solving efforts built on open data for Ebola in Sierra Leone, dengue fever in Singapore, and earthquakes in New Zealand Andrew Young (@_AndrewYoung) is the Associate Director of Research at The GovLab (www.thegovlab.org), where he leads a number of grant-funded research efforts focusing on the impact of technology on public institutions. He is also the Network Coordinator of the GovLab-chaired MacArthur Foundation Research Network on Opening Governance. Stefaan G. Verhulst (@sverhulst) is the Co-Founder and Chief R&D Officer of The GovLab at New York University’s Tandon School of Engineering, responsible for experimentation and evidence gathering on how to transform governance by using advances in science and technology. He was Chief of Research for the Markle Foundation, where he continues to serve as Senior Advisor.