The Comprehensive, Up-to-Date Apache Hadoop Administration Handbook and Reference “Sam Alapati has worked with production Hadoop clusters for six years. His unique depth of experience has enabled him to write the go-to resource for all administrators looking to spec, size, expand, and secure production Hadoop clusters of any size.” –Paul Dix, Series Editor In leading Hadoop administrator Sam R. Alapati brings together authoritative knowledge for creating, configuring, securing, managing, and optimizing production Hadoop clusters in any environment. Drawing on his experience with large-scale Hadoop administration, Alapati integrates action-oriented advice with carefully researched explanations of both problems and solutions. He covers an unmatched range of topics and offers an unparalleled collection of realistic examples. Expert Hadoop® Administration, Alapati demystifies complex Hadoop environments, helping you understand exactly what happens behind the scenes when you administer your cluster. You’ll gain unprecedented insight as you walk through building clusters from scratch and configuring high availability, performance, security, encryption, and other key attributes. The high-value administration skills you learn here will be indispensable no matter what Hadoop distribution you use or what Hadoop applications you run. Understand Hadoop’s architecture from an administrator’s standpoint Create simple and fully distributed clusters Run MapReduce and Spark applications in a Hadoop cluster Manage and protect Hadoop data and high availability Work with HDFS commands, file permissions, and storage management Move data, and use YARN to allocate resources and schedule jobs Manage job workflows with Oozie and Hue Secure, monitor, log, and optimize Hadoop Benchmark and troubleshoot Hadoop

This IBM® Redpaper™ publication describes various activities that are necessary to deploy IBM Spectrum Scale™ on IBM SoftLayer®.

Application development is a key part of IBM® i businesses. The IBM i operating system is a modern, robust platform to create and develop applications. The RPG language has been around for a long time, but is still being transformed into a modern business language. This IBM Redbooks® publication is focused on helping the IBM i development community understand the modern RPG language. The world of application development has been rapidly changing over the past years. The good news is that IBM i has been changing right along with it, and has made significant changes to the RPG language. This book is intended to help developers understand what modern RPG looks like and how to move from older versions of RPG to a newer, modern version. Additionally, it covers the basics of Integrated Language Environment® (ILE), interfacing with many other languages, and the best tools for doing development on IBM i. Using modern tools, methodologies, and languages are key to continuing to stay relevant in today's world. Being able to find the right talent for your company is key to your continued success. Using the guidelines and principles in this book can help set you up to find that talent today and into the future. This publication is the result of work that was done by IBM, industry experts, business partners, and some of the original authors of the first edition of this book. This information is important not only for developers, but also business decision makers (CIO for example) to understand that the IBM i is not an 'old' system. IBM i has modern languages and tools. It is a matter of what you choose to do with the IBM i that defines its age.

Dive into the world of multidimensional data analysis with "MDX with Microsoft SQL Server 2016 Analysis Services Cookbook." This book provides over 70 practical recipes to help you understand and utilize MDX queries and calculations effectively. What this Book will help me do Master the fundamentals of MDX concepts and their applications. Learn to create time-aware calculations using the Time dimension. Develop skills to write efficient and flexible MDX queries. Gain insights into creating compact and efficient analytical reports. Understand advanced techniques for capturing MDX queries and metadata-driven calculations. Author(s) None Li and Tomislav Piasevoli are accomplished experts in multidimensional data analysis and business intelligence. Drawing from extensive experience, they offer readers a well-structured and comprehensive approach to mastering MDX. Their pedagogy emphasizes practical, real-world examples promoting clear understanding. Who is it for? This volume is designed for database administrators, multidimensional cube developers, and report writers looking to enhance their strengths in MDX. Readers with intermediate exposure to multidimensional databases will particularly benefit. It also serves as a valuable resource for business analysts and power users aiming to boost data analysis capabilities.

Dive into the world of Microsoft SQL Server 2016 Reporting Services with this cookbook-style guide that covers operational reporting and mobile dashboards. By following clear, task-oriented recipes, you'll quickly learn how to leverage SSRS 2016 for creating advanced, visually appealing, and functional reports to improve your reporting workflows and decision-making processes. What this Book will help me do Understand the architectural components and key features of SQL Server 2016 Reporting Services. Create advanced reporting solutions tailored to your organization's needs using step-by-step recipes. Utilize Power BI and mobile reporting capabilities for more interactive and accessible data insights. Master administration, security, and performance optimization of reporting environments. Integrate reporting solutions into .NET applications for custom business intelligence enhancements. Author(s) None Priyankara is an industry expert with years of experience in data warehousing and reporting solutions, bringing practical insights to the complex world of SQL Server Reporting Services. Co-author Robert Cain is a seasoned technology trainer and consultant specializing in SQL Server and Power BI. Together, they provide a comprehensive, hands-on guide rooted in real-world applications and best practices. Who is it for? This book is designed for software professionals who are involved in reporting and business intelligence, such as software engineers, architects, and DW/BI experts. If you're responsible for designing, implementing, or managing reporting platforms and want to explore SSRS 2016's capabilities, this is the perfect guide for you.

Design and configure SQL Server instances and databases in support of high-throughput applications that are mission-critical and provide consistent response times in the face of variations in user numbers and query volumes. Learn to configure SQL Server and design your databases to support a given instance and workload. You'll learn advanced configuration options, in-memory technologies, storage and disk configuration, and more, all toward enabling your desired application performance and throughput. Configuration doesn't stop with implementation. Workloads change over time, and other impediments can arise to thwart desired performance. covers monitoring and troubleshooting to aid in detecting and fixing production performance problems and minimizing application outages. You'll learn a variety of tools, ranging from the traditional wait analysis methodology to the new query store, and you'll learn how improving performance is really an iterative process. High Performance SQL Server is based on SQL Server 2016, although most of its content can be applied to prior versions of the product. This book is an excellent complement to performance tuning books focusing on SQL queries, and provides the other half of what you need to know by focusing on configuring the instances on which mission-critical queries are executed. High Performance SQL Server Covers SQL Server instance-configuration for optimal performance Helps in implementing SQL Server in-memory technologies Provides guidance toward monitoring and ongoing diagnostics What You Will Learn Understand SQL Server's database engine and how it processes queries Configure instances in support of high-throughput applications Provide consistent response times to varying user numbers and query volumes Design databases for high-throughput applications with focus on performance Record performance baselines and monitor SQL Server instances against them Troubleshot and fix performance problems Who This Book Is For SQL Server database administrators, developers, and data architects. The book is also of use to system administrators who are managing and are responsible for the physical servers on which SQL Server instances are run.

Today’s global organizations depend on being able to unlock business insights from massive volumes of data. Now, with IBM® FlashSystem 900, powered by IBM FlashCore™ technology, they can make faster decisions based on real-time insights and unleash the power of the most demanding applications, including online transaction processing (OLTP) and analytics databases, virtual desktop infrastructures (VDIs), technical computing applications, and cloud environments. This IBM Redbooks® publication introduces clients to the IBM FlashSystem® 900. It provides in-depth knowledge of the product architecture, software and hardware, implementation, and hints and tips. Also illustrated are use cases that show real-world solutions for tiering, flash-only, and preferred-read, and also examples of the benefits gained by integrating the FlashSystem storage into business environments. This book is intended for pre-sales and post-sales technical support professionals and storage administrators, and for anyone who wants to understand how to implement this new and exciting technology. This book describes the following offerings of the IBM Spectrum™ Storage family: IBM Spectrum Storage™ IBM Spectrum Control™ IBM Spectrum Virtualize™ IBM Spectrum Scale™ IBM Spectrum Accelerate™

Learn the fundamental foundations and concepts of the Apache HBase (NoSQL) open source database. It covers the HBase data model, architecture, schema design, API, and administration. Apache HBase is the database for the Apache Hadoop framework. HBase is a column family based NoSQL database that provides a flexible schema model. What You'll Learn Work with the core concepts of HBase Discover the HBase data model, schema design, and architecture Use the HBase API and administration Who This Book Is For Apache HBase (NoSQL) database users, designers, developers, and admins.

Business executives today are well aware of the power of data, especially for gaining actionable insight into products and services. But how do you jump into the big data analytics game without spending millions on data warehouse solutions you don’t need? This 40-page report focuses on massively parallel processing (MPP) analytical databases that enable you to run queries and dashboards on a variety of business metrics at extreme speed and Exabyte scale. Because they leverage the full computational power of a cluster, MPP analytical databases can analyze massive volumes of data—both structured and semi-structured—at unprecedented speeds. This report presents five real-world case studies from Etsy, Cerner Corporation, Criteo and other global enterprises to focus on one big data analytics platform in particular, HPE Vertica. You’ll discover: How one prominent data storage company convinced both business and tech stakeholders to adopt an MPP analytical database Why performance marketing technology company Criteo used a Center of Excellence (CoE) model to ensure the success of its big data analytics endeavors How YPSM uses Vertica to speed up its Hadoop-based data processing environment Why Cerner adopted an analytical database to scale its highly successful health information technology platform How Etsy drives success with the company’s big data initiative by avoiding common technical and organizational mistakes

Get started with the Hibernate 5 persistence layer and gain a clear introduction to the current standard for object-relational persistence in Java. This updated edition includes the new Hibernate 5.0 framework as well as coverage of NoSQL, MongoDB, and other related technologies, ranging from applications to big data. Beginning Hibernate is ideal if you're experienced in Java with databases (the traditional, or connected, approach), but new to open-source, lightweight Hibernate. The book keeps its focus on Hibernate without wasting time on nonessential third-party tools, so you'll be able to immediately start building transaction-based engines and applications. Experienced authors Joseph Ottinger with Dave Minter and Jeff Linwood provide more in-depth examples than any other book for Hibernate beginners. They present their material in a lively, example-based manner—not a dry, theoretical, hard-to-read fashion. What You'll Learn Build enterprise Java-based transaction-type applications that access complex data with Hibernate Work with Hibernate 5 using a present-day build process Use Java 8 features with Hibernate Integrate into the persistence life cycle Map using Java's annotations Search and query with the new version of Hibernate Integrate with MongoDB using NoSQL Keep track of versioned data with Hibernate Envers Who This Book Is For Experienced Java developers interested in learning how to use and apply object-relational persistence in Java and who are new to the Hibernate persistence framework.

For over twenty years, digitisation has been a core element of the modern information landscape. The digital lifecycle is now well defined, and standards and good practice have been developed for most of its key stages. There remains, however, a widespread lack of coordination of digitisation initiatives, both within and across different sectors, and there are disparate approaches to selection criteria. The result is ‘silos’ of digitised content. Stepping away from the Silos examines the strategic context in the UK since the 1990s and its effect on collaboration and coordination of exemplar digitisation initiatives in higher education and related sectors. It identifies the principal criteria for content selection that are common to the international literature in this field. The outputs of the exemplar projects are examined in relation to these criteria. A range of common practices and patterns in content selection appears to have developed over time, forming a de facto strategy from which several areas of critical mass have emerged. The book discusses the potential to improve strategic collaboration and coordinated selection by building on such a platform, and considers planning options in the context of work on national digitisation strategies in the UK and internationally. Summarises the rise of publicly funded digitisation in the UK from the 1990s to date and identifies the need to improve coordination and content selection criteria Reviews the role of digitisation in government and organisational strategies from the 1990s to the present day Examines the strategic position of collaboration within and across different organisations Identifies common selection criteria and outlines the coverage of exemplar projects Discusses the apparent emergence of a de facto selection strategy and the potential for national strategic planning of digitised content based on existing outputs and improved collaboration

For many organizations, Hadoop is the first step for dealing with massive amounts of data. The next step? Processing and analyzing datasets with the Apache Pig scripting platform. With Pig, you can batch-process data without having to create a full-fledged application, making it easy to experiment with new datasets. Updated with use cases and programming examples, this second edition is the ideal learning tool for new and experienced users alike. You’ll find comprehensive coverage on key features such as the Pig Latin scripting language and the Grunt shell. When you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig. Delve into Pig’s data model, including scalar and complex data types Write Pig Latin scripts to sort, group, join, project, and filter your data Use Grunt to work with the Hadoop Distributed File System (HDFS) Build complex data processing pipelines with Pig’s macros and modularity features Embed Pig Latin in Python for iterative processing and other advanced tasks Use Pig with Apache Tez to build high-performance batch and interactive data processing applications Create your own load and store functions to handle data formats and storage mechanisms

Master the Big Data Capabilities of Oracle R Enterprise Effectively manage your enterprise’s big data and keep complex processes running smoothly using the hands-on information contained in this Oracle Press guide. Oracle R Enterprise: Harnessing the Power of R in Oracle Database shows, step-by-step, how to create and execute large-scale predictive analytics and maintain superior performance. Discover how to explore and prepare your data, accurately model business processes, generate sophisticated graphics, and write and deploy powerful scripts. You will also find out how to effectively incorporate Oracle R Enterprise features in APEX applications, OBIEE dashboards, and Apache Hadoop systems. Learn to: • Install, configure, and administer Oracle R Enterprise • Establish connections and move data to the database • Create Oracle R Enterprise packages and functions • Use the R language to work with data in Oracle Database • Build models using ODM, ORE, and other algorithms • Develop and deploy R scripts and use the R script repository • Execute embedded R scripts and employ ORE SQL API functions • Map and manipulate data using Oracle R Advanced Analytics for Hadoop • Use ORE in Oracle Data Miner, OBIEE, and other applications

An in-depth guide to the changes your organization needs to make to comply with the EU GDPR.

The EU General Data Protection Regulation (GDPR) will supersede the 1995 EU Data Protection Directive (DPD) and all EU member states’ national laws based on it – including the UK Data Protection Act 1998 – in May 2018.

All organizations – wherever they are in the world – that process the personally identifiable information (PII) of EU residents must comply with the Regulation. Failure to do so could result in fines of up to €20 million or 4% of annual global turnover.

US organizations that process EU residents’ personal data can comply with the GDPR via the EU-US Privacy Shield, which replaced the EU-US Safe Harbor framework in 2016. The Privacy Shield is based on the DPD, and will likely be updated once the GDPR is applied in May 2018.

This book provides a detailed commentary on the GDPR, explains the changes you need to make to your data protection and information security regimes, and tells you exactly what you need to do to avoid severe financial penalties.

Product overview

EU GDPR – An Implementation and Compliance Guide is a clear and comprehensive guide to this new data protection law, explaining the Regulation, and setting out the obligations of data processors and controllers in terms you can understand.

Topics covered include:

The role of the data protection officer (DPO) – including whether you need one and what they should do. Risk management and data protection impact assessments (DPIAs), including how, when and why to conduct a DPIA. Data subjects’ rights, including consent and the withdrawal of consent; subject access requests and how to handle them; and data controllers’ and processors’ obligations. International data transfers to “third countries” – including guidance on adequacy decisions and appropriate safeguards; the EU-US Privacy Shield; international organizations; limited transfers; and Cloud providers. How to adjust your data protection processes to transition to GDPR compliance, and the best way of demonstrating that compliance. A full index of the Regulation to help you find the articles and stipulations relevant to your organization.

The GDPR will have a significant impact on organizational data protection regimes around the world. EU GDPR – An implementation and Compliance Guide shows you exactly what you need to do to comply with the new law.

About the authors

IT Governance is a leading global provider of IT governance, risk management, and compliance expertise, and we pride ourselves on our ability to deliver a broad range of integrated, high-quality solutions that meet the real-world needs of our international client base.

Our privacy team – led by Alan Calder, Richard Campo, and Adrian Ross – has substantial experience in privacy, data protection, compliance, and information security. This experience, and our understanding of the background and drivers for the GDPR, are combined in this manual to provide the world’s first guide to implementing the new data protection regulation.

Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. Fully updated for Spark 2.0. About the Technology Big data systems distribute datasets across clusters of machines, making it a challenge to efficiently query, stream, and interpret them. Spark can help. It is a processing system designed specifically for distributed data. It provides easy-to-use interfaces, along with the performance you need for production-quality analytics and machine learning. Spark 2 also adds improved programming APIs, better performance, and countless other upgrades. About the Book Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. You'll get comfortable with the Spark CLI as you work through a few introductory examples. Then, you'll start programming Spark using its core APIs. Along the way, you'll work with structured data using Spark SQL, process near-real-time streaming data, apply machine learning algorithms, and munge graph data using Spark GraphX. For a zero-effort startup, you can download the preconfigured virtual machine ready for you to try the book's code. What's Inside Updated for Spark 2.0 Real-life case studies Spark DevOps with Docker Examples in Scala, and online in Java and Python About the Reader Written for experienced programmers with some background in big data or machine learning. About the Authors Petar Zečević and Marko Bonaći are seasoned developers heavily involved in the Spark community. Quotes Dig in and get your hands dirty with one of the hottest data processing engines today. A great guide. - Jonathan Sharley, Pandora Media Must-have! Speed up your learning of Spark as a distributed computing framework. - Robert Ormandi, Yahoo! An easy-to-follow, step-by-step guide. - Gaurav Bhardwaj, 3Pillar Global An ambitiously comprehensive overview of Spark and its diverse ecosystem. - Jonathan Miller, Optensity

This IBM® Redbooks® publication provides a technical overview of the features, functions, and enhancements that are available in IBM i 7.2, including all the available Technology Refresh (TR) levels, from TR1 to TR3. This publication provides a summary and brief explanation of the many capabilities and functions in the operating system. It also describes many of the licensed programs and application development tools that are associated with IBM i. The information that is provided in this book is useful for clients, IBM Business Partners, and IBM service professionals that are involved with planning, supporting, upgrading, and implementing IBM i 7.2 solutions.

There’s growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do well—until now. This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range of capabilities.

Learning IBM Bluemix provides a comprehensive introduction to developing and deploying applications with the IBM Bluemix cloud platform. By following detailed examples and guided exercises, you'll understand the full life cycle of cloud-based application development, from initial setup to scaling and security. What this Book will help me do Understand the capabilities of IBM Bluemix as a Platform as a Service to build applications efficiently. Learn to develop and deploy applications using Cloud Foundry command line and Bluemix console. Explore microservices architecture and build scalable applications using Bluemix tools. Integrate on-premises systems with cloud-hosted applications on Bluemix. Develop mobile client applications with the support of Bluemix's Mobile services. Author(s) Sreelatha Sankaranarayanan is an experienced developer and cloud technology author, with extensive expertise in IBM Bluemix. Her passion for simplifying complex concepts is reflected in her engaging writing style, ensuring learners can master new skills effectively. She brings years of real-world experience in cloud computing and software development to her instructional materials. Who is it for? This book is tailored for developers aiming to transition to cloud-based application development using IBM Bluemix, with a focus on practical application. Readers should have foundational skills in Java and Node.js to fully benefit. Ideal for professionals looking to expand their capabilities with cloud infrastructure, or for those wanting to leverage microservices and cloud solutions in their applications.

Fast Data Processing with Spark 2 takes you through the essentials of leveraging Spark for big data analysis. You will learn how to install and set up Spark, handle data using its APIs, and apply advanced functionality like machine learning and graph processing. By the end of the book, you will be well-equipped to use Spark in real-world data processing tasks. What this Book will help me do Install and configure Apache Spark for optimal performance. Interact with distributed datasets using the resilient distributed dataset (RDD) API. Leverage the flexibility of DataFrame API for efficient big data analytics. Apply machine learning models using Spark MLlib to solve complex problems. Perform graph analysis using GraphX to uncover structural insights in data. Author(s) Krishna Sankar is an experienced data scientist and thought leader in big data technologies. With a deep understanding of machine learning, distributed systems, and Apache Spark, Krishna has guided numerous projects in data engineering and big data processing. Matei Zaharia, the co-author, is also widely recognized in the field of distributed systems and cloud computing, contributing to Apache Spark development. Who is it for? This book is catered to software developers and data engineers with a foundational understanding of Scala or Java programming. Beginner to medium-level understanding of big data processing concepts is recommended for readers. If you are aspiring to solve big data problems using scalable distributed computing frameworks, this book is perfect for you. By the end, you will be confident in building Spark-powered applications and analyzing data efficiently.

Succeed in managing Oracle Application Express (APEX) environments. This book focuses on creating the right combination of scalability, high-availability, backup and recovery, integrity, and resource control. The book covers everything from simple to enterprise-class deployments, with emphasis on enterprise-level requirements and coverage of cloud and hybrid-cloud scenarios. Many books cover how to develop applications in Oracle APEX. It's a tool with a fast-growing user-base as developers come to know how quick and easy it is to create new applications that run in a browser. However, just getting an application off the ground is only a small part of a bigger picture. Applications must be supported. They must be available when users need them. They must be robust against disaster and secure against malicious attack. These are the issues addressed in . These are the issues that when tackled successfully lead to long term success in using Oracle APEX as a rapid application-development toolset. Oracle Application Express Administration Readers of this book learn how to install the Oracle APEX engine in support of small-scale projects such as at the departmental level, and in support of enterprise-level projects accessed by thousands of users across dozens of time zones. Readers learn to take advantage of Oracle Database's underlying feature set in regards to application scalability and performance, integrity, security, high-availability, and robustness against failure and data loss. also describes different cloud solutions, integration with Oracle E-Business Suite, and helps in taking advantage of multitenancy in Oracle Database 12c and beyond. Oracle Application Express Administration Covers important enterprise considerations such as scalability, robustness, high-availability. Describes cloud-based application deployment scenarios Focuses on creating the right deployment environment for long-term success What You Will Learn Install, upgrade, and configure robust APEX environments Back up and recover APEX applications and their data Monitor and tune the APEX engine and its applications Benefit from new administration features in APEX 5.0 Run under multi-tenant architecture in Oracle Database 12c Manage the use of scarce resources with Resource Manager Secure your data with advanced security features Build high-availability into your APEX deployments Integrate APEX with Oracle E-Business Suite Who This Book Is For Architects, administrators, and developers who want to better understand how APEX works in a corporate environment. Readers will use this book to design deployment architectures around Oracle Database strengths like multi-tenancy, resource management, and high availability. The book is also useful to administrators responsible for installation and upgrade, backup and recovery, and the ongoing monitoring of the APEX engine and the applications built upon it.

IBM® Coach Framework is a key component of the IBM Business Process Manager (BPM) platform that enables custom user interfaces to be easily embedded within business process solutions. Developer tools enable process authors to rapidly create a compelling user experience (UI) that can be delivered to desktop and mobile devices. IBM Process Portal, used by business operations to access, execute, and manage tasks, is entirely coach-based and can easily be configured and styled. A corporate look and feel can be defined using a graphical theme editor and applied consistently across all process applications. The process federation capability enables business users to access and execute all their tasks using a single UI without being aware of the implementation or origin. Using Coach Framework, you can embed coach-based UI in other web applications, develop BPM UI using alternative UI technology, and create mobile applications for off-line working. This IBM Redbooks® publication explains how to fully benefit from the power of the Coach Framework. It focuses on the capabilities that Coach Framework delivers with IBM BPM version 8.5.7. The content of this document, though, is also pertinent to future versions of the application.

IBM® DB2® Query Management Facility™ for z/OS® provides a zero-footprint, mobile-enabled, highly secure business analytics solution. IBM QMF™ V11.2.1 offers many significant new features and functions in keeping with the ongoing effort to broaden its usage and value to a wider set of users and business areas. In this IBM Redbooks® publication, we explore several of the new features and options that are available within this new release. This publication introduces TSO enhancements for QMF Analytics for TSO and QMF Enhanced Editor. A chapter describes how the QMF Data Service component connects to multiple mainframe data sources to accomplish the consolidation and delivery of data. This publication describes how self-service business intelligence can be achieved by using QMF Vision to enable self-service dashboards and data exploration. A chapter is dedicated to JavaScript support, demonstrating how application developers can use JavaScript to extend the capabilities of QMF. Additionally, this book describes methods to take advantage of caching for reduced CPU consumption, wider access to information, and faster performance. This publication is of interest to anyone who wants to better understand how QMF can enable in-place analytics with live enterprise data.

Protect your data from attack by using SQL Server technologies to implement a defense-in-depth strategy, performing threat analysis, and encrypting sensitive data as a last line of defense against compromise. The multi-layered approach in this book helps ensure that a single breach doesn't lead to loss or compromise of your data that is confidential and important to the business. Database professionals in today's world deal increasingly often with repeated data attacks against high-profile organizations and sensitive data. It is more important than ever to keep your company's data secure. demonstrates how administrators and developers can both play their part in the protection of a SQL Server environment. Securing SQL Server This book provides a comprehensive technical guide to the security model, and to encryption within SQL Server, including coverage of the latest security technologies such as Always Encrypted, Dynamic Data Masking, and Row Level Security. Most importantly, the book gives practical advice and engaging examples on how to defend your data -- and ultimately your job! -- against attack and compromise. Covers the latest security technologies, including Always Encrypted, Dynamic Data Masking, and Row Level Security Promotes security best-practice and strategies for defense-in-depth of business-critical database assets Gives advice on performing threat analysis and reducing the attack surface that your database presents to the outside world What You Will Learn Perform threat analysis Implement access level control and data encryption Avoid non-reputability by implementing comprehensive auditing Use security metadata to ensure your security policies are enforced Apply the latest SQL Server technologies to increase data security Mitigate the risk of credentials being stolen Who This Book Is For SQL Server database administrators who need to understand and counteract the threat of attacks against their company's data. The book is also of interest to database administrators of other platforms, as several of the attack techniques are easily generalized beyond SQL Server and to other database brands.

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.