Provides conceptual information for the Base SAS language. Major topics include SAS keywords and naming conventions, SAS variables and expressions, error processing and debugging, SAS data sets and files, creating and customizing output, DATA step concepts and DATA step processing, reading raw data, and creating and managing SAS libraries.

Prepare for Microsoft Exam 70-764—and help demonstrate your real-world mastery of skills for database administration. This exam is intended for database administrators charged with installation, maintenance, and configuration tasks. Their responsibilities also include setting up database systems, making sure those systems operate efficiently, and regularly storing, backing up, and securing data from unauthorized access. Focus on the expertise measured by these objectives: Configure data access and auditing Manage backup and restore of databases Manage and monitor SQL Server instances Manage high availability and disaster recovery This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have working knowledge of database installation, configuration, and maintenance tasks. You should also have experience with setting up database systems, ensuring those systems operate efficiently, regularly storing and backing up data, and securing data from unauthorized access. About the Exam Exam 70-764 focuses on skills and knowledge required for database administration. About Microsoft Certification Passing both Exam 70-764 and Exam 70-765 (Provisioning SQL Databases) earns you credit toward an MCSA: SQL 2016 Database Administration certification. See full details at: microsoft.com/learning

Master Oracle Database 12c Release 2 testing and tuning Seamlessly transition to Oracle Database 12c Release 2 and achieve peak performance using the step-by-step instruction and best practices contained in this Oracle Press guide. Written by a team of Oracle ACEs, Oracle Database 12c Release 2 Testing Tools and Techniques for Performance and Scalability clearly explains how to identify, investigate, and resolve performance issues. You will discover how to use troubleshooting tools and test rigs, optimize code and queries, evaluate database performance, perform realistic application testing, capture and replay actual production workloads, and employ Oracle Database In-Memory. •Establish benchmarks and evaluate application workload performance •Configure and deploy SQL Tuning Advisor and SQL Access Advisor •Maximize efficiency using Oracle Database In-Memory and In-Memory Advisor •Identify and repair poorly running code with SQL Monitor •Uncover database problems using Real-Time ADDM and Emergency Monitoring •Work with database workload capture and replay •Analyze third-party code with Workload Intelligence •Identify database objects that will benefit most from In-Memory Column Store (IMCS) •Monitor and manage IMCS objects with In-Memory Central

Dive into SAP Activate, a cutting-edge methodology for SAP S/4HANA implementation, designed to enhance your project management effectiveness. This book delivers a step-by-step introduction to the SAP Activate framework, covering Agile and Scrum approaches. You will learn how this framework facilitates achieving project objectives efficiently, providing you with the tools to streamline your SAP projects. What this Book will help me do Understand the key components and significance of SAP S/4HANA. Learn the framework and pillars of SAP Activate for successful SAP implementation. Master application of Agile and Scrum methodologies within SAP projects. Explore real-world case studies demonstrating SAP Activate in action. Develop a sample project using the SAP Activate framework to build hands-on expertise. Author(s) Vinay Singh is a seasoned SAP consultant with extensive experience in SAP implementations across various industries. With a focus on methodical and actionable guidance, Vinay has crafted his writing to help readers excel in practical SAP implementation. His work is complemented by a rich understanding of Agile methodologies applied to SAP contexts. Who is it for? This book is ideal for SAP professionals and consultants aspiring to efficiently implement and manage SAP projects using the SAP Activate approach. It is especially beneficial for those familiar with SAP HANA looking to transition from traditional waterfall methods to more agile frameworks. Readers seeking to enhance their project management skillset for SAP S/4HANA will find this book indispensable.

Analyze your biostatistics data with JMP! Trevor Bihl's Biostatistics Using JMP: A Practical Guide provides a practical introduction on using JMP, the interactive statistical discovery software, to solve biostatistical problems. Providing extensive breadth, from summary statistics to neural networks, this essential volume offers a comprehensive, step-by-step guide to using JMP to handle your data. The first biostatistical book to focus on software, Biostatistics Using JMP discusses such topics as data visualization, data wrangling, data cleaning, histograms, box plots, Pareto plots, scatter plots, hypothesis tests, confidence intervals, analysis of variance, regression, curve fitting, clustering, classification, discriminant analysis, neural networks, decision trees, logistic regression, survival analysis, control charts, and metaanalysis. Written for university students, professors, those who perform biological/biomedical experiments, laboratory managers, and research scientists, Biostatistics Using JMP provides a practical approach to using JMP to solve your biostatistical problems.

The Payment Card Industry Data Security Standard (PCI-DSS) is the global information security standard for organizations that process, store, or transmit data with any of the major credit card brands. More and more organizations are looking for compliance with this standard. This IBM® Redpaper™ describes how the features and functions of IBM Spectrum™ Virtualize help organizations towards compliance of their IT infrastructure on relevant areas of the PCI-DSS standard. IBM Spectrum Virtualize™ is the software common to all IBM Storwize® products such as IBM SAN Volume Controller (SVC), IBM Storwize V5000 family, IBM Storwize V7000, IBM FlashSystem® V9000, and IBM Spectrum Virtualize as Software. Therefore, all recommendations in this paper equally apply to these storage products.

Explore the power of combining Node.js and MongoDB to build modern, scalable web applications in 'Web Development with MongoDB and Node.' You'll not only learn how to integrate these two technologies effectively, but you'll also gain practical insights into using modern frameworks like Express and Angular to build feature-rich web apps. What this Book will help me do Master core concepts of Node.js and MongoDB for efficient web development. Learn to build and configure a web server using the Express.js framework. Implement data persistence with MongoDB using the Mongoose ODM library. Automate testing using tools like Mocha and streamline workflows with Gulp. Deploy applications to cloud platforms like Heroku, AWS, and Microsoft Azure. Author(s) Jason Krol and None Joseph D'mello, along with None Satheesh, bring extensive experience in web development and technical writing to this book. The authors have collectively worked on cutting-edge web technologies for years and are passionate about sharing their expertise to help developers create efficient web applications. Who is it for? This book is perfect for JavaScript developers at any proficiency level who are looking to expand their skills into full-stack development with Node.js and MongoDB. Even if you have a basic understanding of JavaScript and HTML, this book will guide you through building complete web applications from scratch. If you're eager to learn and create performant, scalable web apps, this book is for you.

Abstract This IBM® Redbooks® publication provides an overview of IBM Copy Services Manager (CSM) for IBM Z and open systems, and documents a set of scenarios for using IBM Copy Services manager to automate and manage replication tasks based on IBM Storage. This book reviews and explains the usage of copy services functions and describes how these functions are implemented in IBM Copy Services Manager. IBM Copy Services Manager key concepts, architecture, session types and usage, and new functionality as of IBM Copy Services Manager version 6.1 are also described.

This book provides a comprehensive guide to real-time data processing and analytics using modern frameworks like Apache Spark, Flink, Storm, and Kafka. Through practical examples and in-depth explanations, you will learn how to implement efficient, scalable, real-time processing pipelines. What this Book will help me do Understand real-time data processing essentials and the technology stack Learn integration of components like Apache Spark and Kafka Master the concepts of stream processing with detailed case studies Gain expertise in developing monitoring and alerting solutions for real-time systems Prepare to implement production-grade real-time data solutions Author(s) Shilpi Saxena and Saurabh Gupta, the authors, are experienced professionals in distributed systems and data engineering, focusing on practical applications of real-time computing. They bring their extensive industry experience to this book, helping readers understand the complexities of real-time data solutions in an approachable and hands-on manner. Who is it for? This book is ideal for software engineers and data engineers with a background in Java who seek to develop real-time data solutions. It is suitable for readers familiar with concepts of real-time data processing, and enhances knowledge in frameworks like Spark, Flink, Storm, and Kafka. Target audience includes learners building production data solutions and those designing distributed analytics engines.

Discover how to unlock the secrets of time-series data with "Practical Time Series Analysis". With a focus on hands-on learning, this book takes you on a journey through time series data processing, visualization, and modeling. Gain the technical expertise and confidence to tackle real-world datasets using Python. What this Book will help me do Understand the fundamental principles of time series analysis and their application to real-world datasets. Learn to utilize Python for data preparation, visualization, and processing in the context of time series. Master the techniques of evaluating and addressing common challenges such as non-stationarity and autocorrelation. Apply statistical methods and machine learning models, including ARIMA and deep learning approaches, to forecasting tasks. Develop practical skills to implement and deploy end-to-end predictive models for time series data analysis. Author(s) PKS Prakash and Avishek Pal bring decades of combined experience in data science and analytics. Their meticulous approach toward simplifying complex concepts makes learning time series approachable and engaging. Drawing from their professional expertise, they incorporate extensive examples to merge theory with practice. Who is it for? This book is ideal for data scientists and engineers keen on enhancing their abilities to analyze temporal data. Prior knowledge in Python and basic statistics will help you gain the most from this book. Whether advancing your career or solving practical problems, you'll find invaluable insights here.

This comprehensive guide dives deep into the Power BI platform, teaching you how to create insightful data models, reports, and dashboards that drive business decisions. With hands-on recipes and real-world examples, this book is a practical resource for mastering the full range of Power BI's capabilities. What this Book will help me do Understand and apply data cleansing and transformation using Power BI tools. Create and utilize intuitive data models for business intelligence reporting. Leverage DAX and M languages for advanced data analysis and custom solutions. Build dynamic, user-specific dashboards and visualizations for impactful insights. Integrate Power BI with Microsoft Excel, SQL Server, and cloud services for extended functionality. Author(s) None Powell is an experienced data analyst and Microsoft BI solution architect with extensive expertise in Power BI. He has worked on numerous BI projects, providing practical solutions using Microsoft's data platform technologies. Through detailed, scenario-based writing, he shares his knowledge to help readers excel in their BI endeavors. Who is it for? This book is perfect for business intelligence professionals and analysts seeking to expand their skills in Power BI. Ideal readers may have foundational Power BI knowledge and look to master advanced techniques. If you aim to build impactful BI solutions and are motivated to handle complex data integrations, this book will be instrumental.

Abstract IThis IBM® Redbooks® publication helps you install, configure, and maintain the IBM z14. The z14 offers new functions that require a comprehensive understanding of the available configuration options. This book presents configuration setup scenarios, and describes implementation examples in detail. This publication is intended for systems engineers, hardware planners, and anyone who needs to understand IBM Z configuration and implementation. Readers should be generally familiar with current IBM Z technology and terminology. For more information about the functions of the z14, see IBM z14 Technical Introduction, SG24-8450 and IBM z14 Technical Guide, SG24-8451.

This book is your gateway to mastering machine learning with Apache Spark 2.x. Through detailed hands-on recipes, you'll delve into building scalable ML models, optimizing big data processes, and enhancing project efficiency. Gain practical knowledge and explore real-world applications of recommendations, clustering, analytics, and more with Spark's powerful capabilities. What this Book will help me do Understand how to integrate Scala and Spark for effective machine learning development. Learn to create scalable recommendation engines using Spark. Master the development of clustering systems to organize unlabelled data at scale. Explore Spark libraries to implement efficient text analytics and search engines. Optimize large-scale data operations, tackling high-dimensional issues with Spark. Author(s) The team of authors brings expertise in machine learning, data science, and Spark technologies. Their combined industry experience and academic knowledge ensure the book is grounded in practical applications while offering theoretical insights. With clear explanations and a step-by-step approach, they aim to simplify complex concepts for developers and data scientists. Who is it for? This book is crafted for Scala developers familiar with machine learning concepts but seeking practical applications with Spark. If you have been implementing models but want to scale them and leverage Spark's robust ecosystem, this guide will serve you well. It is ideal for professionals seeking to deepen their skills in Spark and data science.

"Data Analysis with IBM SPSS Statistics" is a comprehensive guide designed to help you master IBM SPSS Statistics for performing robust statistical analyses. Through a practical approach, the book delves into critical techniques like data visualization, regression analysis, and hypothesis testing, enabling you to uncover patterns, make informed decisions, and enhance data interpretation. What this Book will help me do Set up and configure IBM SPSS Statistics for effective data analysis workflows. Perform data cleaning and preparation, including addressing missing data and restructuring datasets. Master statistical techniques such as ANOVA, regression analysis, and clustering to draw insights from data. Generate intuitive visualizations like charts and graphs to communicate findings effectively. Build predictive models and evaluate their effectiveness for decision-making purposes. Author(s) Ken Stehlik-Barry and Anthony Babinec are seasoned data analysts and IBM SPSS experts with extensive experience in statistical methodologies and data science. They have a knack for translating complex concepts into accessible lessons, making this book an ideal resource for learners aiming to build their SPSS aptitude. Their expertise ensures a well-rounded learning journey. Who is it for? This book is tailored for data analysts and researchers who need to analyze and interpret data effectively using IBM SPSS Statistics. Readers should have basic familiarity with statistical concepts, making it ideal for those with a foundational understanding of statistics. If you aim to grasp practical applications of SPSS for real-world data challenges, this book is for you.

If you have been frustrated by very technical statistical process control (SPC) training materials, then this is the book for you. This book focuses on how SPC works and why managers should consider using it in their operations. It provides you with a conceptual understanding of SPC so that appropriate decisions can be made about the benefits of incorporating SPC into the process management and quality improvement processes. Today there is little need to make the necessary calculations by hand, so the author utilizes Minitab and NWA Quality Analyst—two of the most popular statistical analysis software packages on the market. Links are provided to the home pages of these software packages where trial versions may be downloaded for evaluation and trial use. The book also addresses the question of why SPC should be considered for use, the process of implementing SPC, how to incorporate SPC into problem identification, problem solving, and the management and improvement of processes, products, and services.

R Data Analysis Cookbook, Second Edition, is your companion for mastering various data analysis techniques using R. Combining powerful R libraries like ggplot2, this book guides you through tasks such as data mining, visualization, and even advanced concepts like time series analysis. Whether you're cleaning and formatting data or generating actionable insights, this book offers hands-on recipes to upskill efficiently. What this Book will help me do Learn how to acquire, prepare, and visualize datasets using popular R libraries. Master exploratory data analysis concepts to discover insights in any data. Get introduced to machine learning algorithms in R such as regression and classification. Develop advanced skills like social network analysis, recommendation systems, and geospatial analysis. Learn to generate dynamic reports and interactive dashboards using tools like Shiny. Author(s) Kuntal Ganguly and Viswa Viswanathan bring a wealth of experience in data science, analytics, and R programming to this book. Their passion for teaching complex topics with clarity and practical insight shines throughout. The co-authors incorporate years of technical expertise to guide readers step-by-step in solving real-world data analysis challenges. Who is it for? This book is ideal for data scientists, analysts, or enthusiasts taking their first or next steps with R. It caters to professionals with a beginner or intermediate understanding of statistics and programming who are seeking practical examples and solutions to complex data tasks. If you want actionable knowledge to address real-world analytics challenges, this book is for you.

Every enterprise application creates data, whether it’s log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you’ll learn Kafka’s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. Understand publish-subscribe messaging and how it fits in the big data ecosystem. Explore Kafka producers and consumers for writing and reading messages Understand Kafka patterns and use-case requirements to ensure reliable data delivery Get best practices for building data pipelines and applications with Kafka Manage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasks Learn the most critical metrics among Kafka’s operational measurements Explore how Kafka’s stream delivery capabilities make it a perfect source for stream processing systems

"Pentaho 8 Reporting for Java Developers" is your hands-on guide to mastering the Pentaho 8 reporting platform. Packed with practical examples and exercises, this book teaches you how to create highly functional, interactive reports for your data visualization needs. Updated for the latest version of Pentaho, it provides all the tools and techniques you need to succeed. What this Book will help me do Learn the fundamental concepts of Pentaho Reporting including setup and initial configurations. Design and customize attractive, functional reports utilizing various data sources. Integrate Pentaho reports seamlessly into Java applications with full control over their interactions and design. Explore advanced reporting features like parameterization, localization, and complex layout configurations. Incorporate Pentaho reports into the broader Pentaho suite, including the BA platform and Data Integration tools. Author(s) Jasmine Kaur and None Corti bring their extensive expertise in information technology and Java development to this comprehensive guide. With years of hands-on experience working with Pentaho Reporting tools, they have a deep understanding of the challenges and solutions in report design. Their approachable writing style and emphasis on practical examples make learning intuitive and enjoyable. Who is it for? This book is ideally suited for Information Technologists who are familiar with databases and intermediate-level Java Developers looking to integrate advanced reporting functionalities into their projects. If you are eager to build pixel-perfect, professional reports or need insights into embedding reporting tools into Java applications, this book holds the answers.

Learn to write SAS programs quickly and efficiently.

Programming in SAS is flexible, but it can also be overwhelming. Many novice and experienced programmers learn how to write programs that use the DATA step and macros, but they often don’t realize that a simpler or better way can achieve the same results. In a user-friendly tutorial style, Practical and Efficient SAS® Programming: The Insider's Guide provides general SAS programming tips that use the tools available in Base SAS, including the DATA step, the SAS macro facility, and SQL.

Drawing from the author’s 30 years of SAS programming experience, this book offers self-contained sections that describe each tip or trick and present numerous examples. It therefore serves as both an easy reference for a specific question, and a useful cover-to-cover read. As a bonus, the utility programs included in the appendixes will help you simplify your programs, as well as help you develop a sleek and efficient coding style.

With this book, you will learn how to do the following:

use the DATA step, the SAS macro facility, SQL, and other Base SAS tools more efficiently

choose the best tool for a task

use lookup tables

simulate recursion with macros

read metadata with the DATA step

create your own programming style in order to write programs that are easily maintained

Using this book, SAS programmers of all levels will discover new techniques to help them write programs quickly and efficiently.

Abstract This IBM® Redbooks® publication describes the IBM System z® Personal Development Tool (IBM zPDT®) 2017 Sysplex Extensions, which is a package that consists of sample files and supporting documentation to help you get a functioning, data sharing sysplex up and running with minimal time and effort. This book is a significant revision of zPDT 2016 Sysplex Extensions, SG24-8315, which is still available online for readers who need the IBM z/OS® 2.1 level of this package. This package is designed and tested to be installed on top of a standard Application Developer Controlled Distribution (ADCD) environment. It provides the extra files that you need to create a two-way data sharing IBM z/OS 2.2 sysplex that runs under IBM z/VM® in a zPDT environment.