In just a short time, you can learn how to use PHP, MySQL, and JavaScript together to create dynamic, interactive websites and applications using three leading web development technologies. No previous programming experience is required. Using a straightforward, step-by-step approach, each lesson in this book builds on the previous ones, enabling you to learn the essentials of full-stack web application development – from HTML, CSS, and JavaScript on the front end, to PHP scripting and MySQL databases on the server. Regardless of whether you run Linux, Windows, or MacOS, the book includes complete instructions to install all the software you need to set up a stable environment for learning, testing, and production. Step-by-step instructions carefully walk you through the most common web application development tasks. Practical, hands-on examples show you how to apply what you learn. Quizzes and exercises help you test your knowledge and stretch your skills. Learn how to: Build web pages with HTML5 and CSS Use JavaScript to build dynamic, interactive web pages Get PHP, MySQL, and JavaScript to work together to create modern, standards-compliant web applications Enhance interactivity with AJAX Leverage JavaScript libraries such as jQuery Work with cookies and user sessions Get user input with web-based forms Use basic SQL commands Interact with the MySQL database using PHP Write maintainable code and get started with version control Decide when frameworks such as Bootstrap, Foundation, React, Angular, and Laravel can be useful Create a web-based discussion forum or calendar Add a storefront and shopping cart to your site Contents at a Glance PART I Web Application Basics 1 Understanding How the Web Works 2 Structuring HTML and Using Cascading Style Sheets 3 Understanding the CSS Box Model and Positioning 4 Introducing JavaScript 5 Introducing PHP PART II Getting Started with Dynamic Web Sites 6 Understanding Dynamic Web Sites and HTML5 Applications 7 JavaScript Fundamentals: Variables, Strings, and Arrays 8 JavaScript Fundamentals: Functions, Objects, and Flow Control 9 Understanding JavaScript Event Handling 10 The Basics of Using jQuery PART III Taking Your Web Applications to the Next Level 11 AJAX: Getting Started with Remote Scripting 12 PHP Fundamentals: Variables, Strings, and Arrays 13 PHP Fundamentals: Functions, Objects, and Flow Control 14 Working with Cookies and User Sessions 15 Working with Web-Based Forms PART IV Integrating a Database into Your Applications 16 Understanding the Database Design Process 17 Learning Basic SQL Commands 18 Interacting with MySQL Using PHP PART V Getting Started with Application Development 19 Creating a Simple Discussion Forum 20 Creating an Online Storefront 21 Creating a Simple Calendar 22 Managing Web Applications PART VI Appendixes A Installation QuickStart with XAMPP B Installing and Configuring MySQL C Installing and Configuring Apache D Installing and Configuring PHP

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

In this Podcast, Charlie Berger from Oracle discussed some of the challenges of data-driven enterprises.

Timeline: 0:29 Charlie's journey. 6:12 Charlie's current role. 8:55 Oracle's role in the future of data. 13:20 The evolution of ML. 20:41 The need for revaluating mathematical models that data science is based on. 27:50 On the concept of appification of analytics. 36:17 On enterprise IT landscape changing. 43:17 Geekifying analytics. 47:15 Charlie's favorite read. 50:21 Closing remarks.

Charlie's favorite read suggestions: 1. The Naked Future: What Happens in a World That Anticipates Your Every Move?

Podcast link: https://futureofdata.org/futureofdata-charliedatamine-oracle-discussing-running-analytics-enterprise/

Charlie's BIO: Passionate technical professional skilled in building entrepreneurial, start-up initiatives, and environments. Strong technical, product management, communication, marketing, and leadership skills.

• Experienced product management professional with over 30 years of experience in leading-edge technologies in large corporations and entrepreneurial start-ups. • During 15 years at Oracle Corporation, developed an innovative portfolio of “big data analytics” products developed as in-database SQL data mining functions and integrated "predictive analytics" applications. • Strong technical, product management, communication, and leadership skills. • Responsible for product management and direction for the Oracle Database data mining and predictive analytics technology, including Oracle Data Mining, text mining, and statistical functions. • Strong product champion, evangelist, and frequent speaker in the field of predictive analytics and data mining. • Leveraged relationships with customers, development, and sales to communicate product capabilities and value proposition.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords: FutureOfData Data Analytics Leadership Podcast Big Data Strategy

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.

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.

"Learning Spark SQL" takes you from data exploration to designing scalable applications with Apache Spark SQL. Through hands-on examples, you will comprehend real-world use cases and gain practical skills crucial for working with Spark SQL APIs, data frames, streaming data, and optimizing Spark applications. What this Book will help me do Understand the principles of Spark SQL and its APIs for building scalable distributed applications. Gain hands-on experience performing data wrangling and visualization using Spark SQL and real-world datasets. Learn how to design and optimize applications for performance and scalability with Spark SQL. Develop the skills to integrate Spark SQL with other frameworks like Apache Kafka for streaming analytics. Master the techniques required to architect machine learning and deep learning solutions using Spark SQL. Author(s) None Sarkar is an experienced technologist and trainer specializing in big data, streaming analytics, and scalable architectures using Apache Spark. With years of practical experience in implementing Spark solutions, Sarkar draws from real-world projects to provide readers with valuable insights. Sarkar's approachable and detailed writing style ensures readers grasp both the theory and the practice of Spark SQL. Who is it for? This book is ideal for software developers, data engineers, and architects aspiring to harness Apache Spark for robust, scalable applications. It suits readers with some SQL querying experience and a basic knowledge of programming in languages like Scala, Java, or Python. Whether you're a Spark newcomer or advancing your capabilities in scalable data processing, this resource will accelerate your learning journey.

Extend FileMaker's built-in functionality and totally customize your data management environment with specialized functions and menus to super-charge the results and create a truly unique and focused experience. This book includes everything a beginner needs to get started building databases with FileMaker and contains advanced tips and techniques that the most seasoned professionals will appreciate. Written by a long time FileMaker developer, this book contains material for developers of every skill level. FileMaker Pro 16 is a powerful database development application used by millions of people in diverse industries to simplify data management tasks, leverage their business information in new ways and automate many mundane tasks. A custom solution built with FileMaker can quickly tap into a powerful set of capabilities and technologies to offer users an intuitive and pleasing environment in which to achieve new levels of efficiency and professionalism. What You’ll learn Create SQL queries to build fast and efficient formulas Discover new features of version 16 such as JSON functions, Cards, Layout Object window, SortValues, UniqueValues, using variables in Data Sources Write calculations using built-in and creating your own custom functions Discover the importance of a good approach to interface and technical design Apply best practices for naming conventions and usage standards Explore advanced topics about designing professional, open-ended solutions and using advanced techniques Who This Book Is For Casual programmers, full time consultants and IT professionals.

A fully updated, integrated self-study system for the Oracle Database SQL Exam This thoroughly revised Oracle Press guide offers 100% coverage of all objectives on the latest version of the Oracle Database SQL Exam. Ideal both as a study guide and on-the-job reference, OCA Oracle Database SQL Exam Guide (Exam 1Z0-071) features detailed explanations, examples, practice questions, and chapter summaries. “Certification Objectives,” “Exam Watch,” and “On the Job” sections reinforce salient points throughout. You will gain access to two complete practice exams that match the tone, tenor, and format of the live test. Get complete coverage every topic on Exam 1Z0-071, including: • DDL and SQL SELECT statements • Manipulating, restricting, and sorting data • Single-row and group functions • Displaying data from multiple tables • Subqueries • Schema objects • Set operators • Grouping related data • Report creation • Data dictionary views • Large data sets • Hierarchical retrieval • Regular expression support • User access control The electronic includes: • Two full practice exams • Detailed answers and explanations

Relational databases haven’t gone away, but they are evolving to integrate messy, disjointed unstructured data into a cleansed repository for analytics. With the execution of massively parallel processing (MPP), the latest generation of analytic data warehouses is helping organizations move beyond business intelligence to processing a variety of advanced analytic workloads. These MPP databases expose their power with the familiarity of SQL. This report introduces the Greenplum Database, recently released as an open source project by Pivotal Software. Lead author Marshall Presser of Pivotal Data Engineering takes you through the Greenplum approach to data analytics and data-driven decisions, beginning with Greenplum’s shared-nothing architecture. You’ll explore data organization and storage, data loading, running queries, as well as performing analytics in the database. You’ll learn: How each networked node in Greenplum’s architecture features an independent operating system, memory, and storage Four deployment options to help you balance security, cost, and time to usability Ways to organize data, including distribution, storage, partitioning, and loading How to use Apache MADlib for in-database analytics, and GPText to process and analyze free-form text Tools for monitoring, managing, securing, and optimizing query responses available in the Pivotal Greenplum commercial database

Delve into mastering big data processing with 'Apache Spark 2.x for Java Developers.' This book provides a practical guide to implementing Apache Spark using the Java APIs, offering a unique opportunity for Java developers to leverage Spark's powerful framework without transitioning to Scala. What this Book will help me do Learn how to process data from formats like XML, JSON, CSV using Spark Core. Implement real-time analytics using Spark Streaming and third-party tools like Kafka. Understand data querying with Spark SQL and master SQL schema processing. Apply machine learning techniques with Spark MLlib to real-world scenarios. Explore graph processing and analytics using Spark GraphX. Author(s) None Kumar and None Gulati, experienced professionals in Java development and big data, bring their wealth of practical experience and passion for teaching to this book. With a clear and concise writing style, they aim to simplify Spark for Java developers, making big data approachable. Who is it for? This book is perfect for Java developers who are eager to expand their skillset into big data processing with Apache Spark. Whether you are a seasoned Spark user or first diving into big data concepts, this book meets you at your level. With practical examples and straightforward explanations, you can unlock the potential of Spark in real-world scenarios.

Mastering Apache Spark 2.x is the essential guide to harnessing the power of big data processing. Dive into real-time data analytics, machine learning, and cluster computing using Apache Spark's advanced features and modules like Spark SQL and MLlib. What this Book will help me do Gain proficiency in Spark's batch and real-time data processing with SparkSQL. Master techniques for machine learning and deep learning using SparkML and SystemML. Understand the principles of Spark's graph processing with GraphX and GraphFrames. Learn to deploy Apache Spark efficiently on platforms like Kubernetes and IBM Cloud. Optimize Spark cluster performance by configuring parameters effectively. Author(s) Romeo Kienzler is a seasoned professional in big data and machine learning technologies. With years of experience in cloud-based distributed systems, Romeo brings practical insights into leveraging Apache Spark. He combines his deep technical expertise with a clear and engaging writing style. Who is it for? This book is tailored for intermediate Apache Spark users eager to deepen their knowledge in Spark 2.x's advanced features. Ideal for data engineers and big data professionals seeking to enhance their analytics pipelines with Spark. A basic understanding of Spark and Scala is necessary. If you're aiming to optimize Spark for real-world applications, this book is crafted for you.

Book + Content Update Program SQL Server 2016 High Availability Unleashed provides start-to-finish coverage of SQL Server’s powerful high availability (HA) solutions for your traditional on-premise databases, cloud-based databases (Azure or AWS), hybrid databases (on-premise coupled with the cloud), and your emerging Big Data solutions. This complete guide introduces an easy-to-follow, formal HA methodology that has been refined over the past several years and helps you identity the right HA solution for your needs. There is also additional coverage of both disaster recovery and business continuity architectures and considerations. You are provided with step-by-step guides, examples, and sample code to help you set up, manage, and administer these highly available solutions. All examples are based on existing production deployments at major Fortune 500 companies around the globe. This book is for all intermediate-to-advanced SQL Server and Big Data professionals, but is also organized so that the first few chapters are great foundation reading for CIOs, CTOs, and even some tech-savvy CFOs. Learn a formal, high availability methodology for understanding and selecting the right HA solution for your needs Deep dive into Microsoft Cluster Services Use selective data replication topologies Explore thorough details on AlwaysOn and availability groups Learn about HA options with log shipping and database mirroring/ snapshots Get details on Microsoft Azure for Big Data and Azure SQL Explore business continuity and disaster recovery Learn about on-premise, cloud, and hybrid deployments Provide all types of database needs, including online transaction processing, data warehouse and business intelligence, and Big Data Explore the future of HA and disaster recovery In addition, this book is part of InformIT’s exciting Content Update Program, which provides content updates for major technology improvements! As significant updates are made to SQL Server, sections of this book will be updated or new sections will be added to match the updates to the technologies. As updates become available, they will be delivered to you via a free Web Edition of this book, which can be accessed with any Internet connection. To learn more, visit informit.com/cup. How to access the Web Edition: Follow the instructions inside to learn how to register your book to access the FREE Web Edition. * The companion material is not available with the online edition on O'Reilly Learning

Learn to build custom SSIS tasks using Visual Studio Community Edition and Visual Basic. Bring all the power of Microsoft .NET to bear on your data integration and ETL processes, and for no added cost over what you’ve already spent on licensing SQL Server. If you already have a license for SQL Server, then you do not need to spend more money to extend SSIS with custom tasks and components. Why are custom components necessary? Because even though the SSIS catalog of built-in tasks and components is a marvel of engineering, there do remain gaps in the functionality that is provided. These gaps are especially relevant to enterprises practicing Data Integration Lifecycle Management (DILMS) and/or DevOps. One of the gaps is a limitation of the SSIS Execute Package task. Developers using the stock version of that task are unable to select SSIS packages from other projects. Yet it’s useful to be able to select and execute tasks across projects, and the example used throughout this book will help you to create an Execute Catalog Package task that does in fact allow you to execute a task from another project. Building on the example’s pattern, you can create any task that you like, custom tailored to your specific, data integration and ETL needs. What You Will Learn Configure and execute Visual Studio in the way that best supports SSIS task development Create a class library as the basis for an SSIS task, and reference the needed SSIS assemblies Properly sign assemblies that you create in order to invoke them from your task Implement source code control via Visual Studio Team Services, or your own favorite tool set Code not only your tasks themselves, but also the associated task editors Troubleshoot and then execute your custom tasks as part of your own project Who This Book Is For Database administrators and developers who are involved in ETL projects built around SQL Server Integration Services (SSIS). Readers should have a background in programming along with a desire to optimize their ETL efforts by creating custom-tailored tasks for execution from SSIS packages.

SQL Server 2017 Integration Services Cookbook is your key to mastering effective data integration and transformation solutions using SSIS 2017. Through clear, concise recipes, this book teaches the advanced ETL techniques necessary for creating efficient data workflows, leveraging both traditional and modern data platforms. What this Book will help me do Master the integration of diverse data sources into comprehensive data models. Develop optimized ETL workflows that improve operational efficiency. Leverage the new features introduced in SQL Server 2017 for enhanced data processing. Implement scalable data warehouse solutions suitable for modern analytics workloads. Customize and extend integration services to handle specific data transformation needs. Author(s) The authors are seasoned professionals in data integration and ETL technologies. They bring years of real-world experience using SQL Server Integration Services in various enterprise scenarios. Their combined expertise ensures practical insights and guidance, making complex concepts accessible to learners and practitioners alike. Who is it for? This book is ideal for data engineers and ETL developers who already understand the basics of SQL Server and want to master advanced data integration techniques. It is also suitable for database administrators and data analysts aiming to enhance their skill set with efficient ETL processes. Arm yourself with this guide to learn not just the how, but also the why, behind successful data transformations.

"Mastering PostGIS" is your guide to unlocking the powerful capabilities of the PostGIS spatial database system. Across 328 pages, this book takes you through the essentials of spatial data handling, from importing, analyzing, and exporting datasets to building fully-functional GIS applications. You'll explore concepts such as spatial querying, data types, and integrating PostGIS with powerful tools like GeoServer and OpenLayers. What this Book will help me do Understand the fundamentals of PostGIS and its role in GIS workflows. Gain hands-on experience in SQL-based spatial queries and data manipulation. Develop the ability to integrate PostGIS with web platforms like Node.js, GeoServer, and OpenLayers. Discover strategies for spatial data ETL (Extract, Transform, Load) processes and live updates. Build scalable, efficient GIS applications leveraging PostGIS's capabilities. Author(s) George Silva, None Mikiewicz, and Michal Mackiewicz None are experts in GIS systems and database technologies with years of experience working with spatial databases such as PostGIS. Passionate about imparting practical knowledge, they provide clear, hands-on examples in every chapter to help you master spatial database solutions. Who is it for? This book is perfect for GIS developers and analysts looking to deepen their knowledge of PostGIS. If you aim to enhance your skills in designing GIS applications or performing spatial data analysis, this is your ideal resource. Prior experience with PostgreSQL and a basic installation of PostGIS are recommended for readers.

This comprehensive guide, 'Mastering PostgreSQL 9.6,' delves into the advanced features of PostgreSQL, equipping you with the skills to optimize queries, manage replication, and ensure high availability. Whether you are implementing advanced administrative tasks or enhancing database performance, this book will provide the tools and knowledge you need. What this Book will help me do Master advanced database functionalities in PostgreSQL 9.6. Enhance your proficiency in optimizing queries and using indexes effectively. Gain expertise in managing replication and ensuring high availability. Develop skills in server maintenance, monitoring, and resilience. Learn effective troubleshooting strategies for PostgreSQL database challenges. Author(s) Hans-Jürgen Schönig is an experienced database professional specializing in PostgreSQL consulting and training. With decades of experience in developing robust solutions, he brings a pragmatic and insightful approach to database management. His emphasis on practical application and clear explanations makes his writing accessible to learners at all levels. Who is it for? This book is ideal for PostgreSQL data architects and administrators looking to deepen their understanding of PostgreSQL's advanced functionalities. It's tailored for readers with prior experience in PostgreSQL administration and a working knowledge of SQL. If you're keen to master complex database tasks and optimize your PostgreSQL usage, you'll find this book invaluable.

Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources. Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data applications, this book describes techniques that can reduce data infrastructure costs and developer hours. Not only will you gain a more comprehensive understanding of Spark, you’ll also learn how to make it sing. With this book, you’ll explore: How Spark SQL’s new interfaces improve performance over SQL’s RDD data structure The choice between data joins in Core Spark and Spark SQL Techniques for getting the most out of standard RDD transformations How to work around performance issues in Spark’s key/value pair paradigm Writing high-performance Spark code without Scala or the JVM How to test for functionality and performance when applying suggested improvements Using Spark MLlib and Spark ML machine learning libraries Spark’s Streaming components and external community packages

Abstract Business Intelligence (BI) is a broad term that relates to applications that analyze data to understand and act on the key metrics that drive profitability in an enterprise. Key to analyzing that data is providing fast, easy access to it while delivering it in formats or tools that best fit the needs of the user. At the core of any BI solution are user query and reporting tools that provide intuitive access to data supporting a spectrum of users from executives to “power users,” from spreadsheet aficionados to the external Internet consumer. IBM® DB2® Web Query for i offers a set of modernized tools for a more robust, extensible, and productive reporting solution than the popular IBM Query for System i® tool (also known as IBM Query/400). IBM DB2 Web Query for i preserves investments in the reports that are developed with Query/400 by offering a choice of importing definitions into the new technology or continuing to run existing Query/400 reports as is. But, it also offers significant productivity and performance enhancements by leveraging the latest in DB2 for i query optimization technology. The DB2 Web Query for i product is a web-based query and report writing product that offers enhanced capabilities over the IBM Query for iSeries product (also commonly known as Query/400). IBM DB2 Web Query for i includes Query for iSeries technology to assist customers in their transition to DB2 Web Query. It offers a more modernized, Java based solution for a more robust, extensible, and productive reporting solution. DB2 Web Query provides the ability to query or build reports against data that is stored in DB2 for i (or Microsoft SQL Server) databases through browser-based user interface technologies: Build reports with ease through the web-based, ribbon-like InfoAssist tool that leverages a common look and feel that can extend the number of personnel that can generate their own reports. Simplify the management of reports by significantly reducing the number of report definitions that are required through the use of parameter driven reports. Deliver data to users in many different formats, including directly into spreadsheets, or in boardroom-quality PDF format, or viewed from the browser in HTML. Leverage advanced reporting functions, such as matrix reporting, ranking, color coding, drill-down, and font customization to enhance the visualization of DB2 data. DB2 Web Query offers features to import Query/400 definitions and enhance their look and functions. By using it, you can add OLAP-like slicing and dicing to the reports or view reports in disconnected mode for users on the go. This IBM Redbooks® publication provides a broad understanding of what can be done with the DB2 Web Query product. This publication is a companion of DB2 Web Query Tutorials, SG24-8378, which has a group of self-explanatory tutorials to help you get up to speed quickly.

Prepare for Microsoft Exam 70-768–and help demonstrate your real-world mastery of Business Intelligence (BI) solutions development with SQL Server 2016 Analysis Services (SSAS), including modeling and queries. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: • Design a multidimensional BI semantic model • Design a tabular BI semantic model • Develop queries using Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX) • Configure and maintain SSAS This Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you are a database or BI professional with experience creating models, writing MDX or DAX queries, and using SSAS