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

Abstract This IBM® Redbooks® publication is based on the Presentations Guide of the course Essentials of Cloud Application Development on IBM Bluemix that was developed by the IBM Redbooks team in partnership with IBM Skills Academy Program. This course is designed to teach university students the basic skills that are required to develop, deploy, and test cloud-based applications that use the IBM Bluemix® cloud services. The primary target audience for this course is university students in undergraduate computer science and computer engineer programs with no previous experience working in cloud environments. However, anyone new to cloud computing can also benefit from this course. After completing this course, you should be able to accomplish the following tasks: Define cloud computing Describe the factors that lead to the adoption of cloud computing Describe the choices that developers have when creating cloud applications Describe infrastructure as a service, platform as a service, and software as a service Describe IBM Bluemix and its architecture Identify the runtimes and services that IBM Bluemix offers Describe IBM Bluemix infrastructure types Create an application in IBM Bluemix Describe the IBM Bluemix dashboard, catalog, and documentation features Explain how the application route is used to test an application from the browser Create services in IBM Bluemix Describe how to bind services to an application in IBM Bluemix Describe the environment variables that are used with IBM Bluemix services Explain what are IBM Bluemix organizations, domains, spaces, and users Describe how to create an IBM SDK for Node.js application that runs on IBM Bluemix Explain how to manage your IBM Bluemix account with the Cloud Foundry CLI Describe how to set up and use the IBM Bluemix plug-in for Eclipse Describe the role of Node.js for server-side scripting Describe IBM Bluemix DevOps Services and the capabilities of IBM DevOps Services Identify the Web IDE features in IBM Bluemix DevOps Describe how to connect a Git repository client to Bluemix DevOps Services project Explain the pipeline build and deploy processes that IBM Bluemix DevOps Services use Describe how IBM Bluemix DevOps Services integrate with the IBM Bluemix cloud Describe the agile planning tools in IBM Bluemix Describe the characteristics of REST APIs Explain the advantages of the JSON data format Describe an example of REST APIs using Watson Describe the main types of data services in IBM Bluemix Describe the benefits of IBM Cloudant® Explain how Cloudant databases and documents are accessed from IBM Bluemix Describe how to use REST APIs to interact with Cloudant database Describe Bluemix mobile backend as a service (MBaaS) and the MBaaS architecture Describe the Push Notifications service Describe the App ID service Describe the Kinetise service Describe how to create Bluemix Mobile applications by using MobileFirst Services Starter Boilerplate The workshop materials were created in June 2017. Therefore, all IBM Bluemix features that are described in this Presentations Guide and IBM Bluemix user interfaces that are used in the examples are current as of June 2017.

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. What You Will Learn Perform data science and analytics using statistics and the R programming language Visualize and explore data, including working with large data sets found in big data Build an R package Test and check your code Practice version control Profile and optimize your code Who This Book Is For Those with some data science or analytics background, but not necessarily experience with the R programming language.

Summary

Do you wish that you could track the changes in your data the same way that you track the changes in your code? Pachyderm is a platform for building a data lake with a versioned file system. It also lets you use whatever languages you want to run your analysis with its container based task graph. This week Daniel Whitenack shares the story of how the project got started, how it works under the covers, and how you can get started using it today!

Preamble

Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch. You can help support the show by checking out the Patreon page which is linked from the site. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Your host is Tobias Macey and today I’m interviewing Daniel Whitenack about Pachyderm, a modern container based system for building and analyzing a versioned data lake.

Interview with Daniel Whitenack

Introduction How did you get started in the data engineering space? What is pachyderm and what problem were you trying to solve when the project was started? Where does the name come from? What are some of the competing projects in the space and what features does Pachyderm offer that would convince someone to choose it over the other options? Because of the fact that the analysis code and the data that it acts on are all versioned together it allows for tracking the provenance of the end result. Why is this such an important capability in the context of data engineering and analytics? What does Pachyderm use for the distribution and scaling mechanism of the file system? Given that you can version your data and track all of the modifications made to it in a manner that allows for traversal of those changesets, how much additional storage is necessary over and above the original capacity needed for the raw data? For a typical use of Pachyderm would someone keep all of the revisions in perpetuity or are the changesets primarily just useful in the context of an analysis workflow? Given that the state of the data is calculated by applying the diffs in sequence what impact does that have on processing speed and what are some of the ways of mitigating that? Another compelling feature of Pachyderm is the fact that it natively supports the use of any language for interacting with your data. Why is this such an important capability and why is it more difficult with alternative solutions?

How did you implement this feature so that it would be maintainable and easy to implement for end users?

Given that the intent of using containers is for encapsulating the analysis code from experimentation through to production, it seems that there is the potential for the implementations to run into problems as they scale. What are some things that users should be aware of to help mitigate this? The data pipeline and dependency graph tooling is a useful addition to the combination of file system and processing interface. Does that preclude any requirement for external tools such as Luigi or Airflow? I see that the docs mention using the map reduce pattern for analyzing the data in Pachyderm. Does it support other approaches such as streaming or tools like Apache Drill? What are some of the most interesting deployments and uses of Pachyderm that you have seen? What are some of the areas that you are looking for help from the community and are there any particular issues that the listeners can check out to get started with the project?

Keep in touch

Daniel

Twitter – @dwhitena

Pachyderm

Website

Free Weekend Project

GopherNotes

Links

AirBnB RethinkDB Flocker Infinite Project Git LFS Luigi Airflow Kafka Kubernetes Rkt SciKit Learn Docker Minikube General Fusion

The intro and outro music is from The Hug by The Freak Fandango Or

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

Learning Pentaho CTools is a comprehensive guide to building sophisticated and custom analytics dashboards using the powerful capabilities of Pentaho CTools. This book walks you through the process of creating interactive dashboards, integrating data sources, and applying data visualization best practices. You'll quickly gain the expertise needed to create impactful dashboards with ease. What this Book will help me do Master installing and configuring CTools for Pentaho to jumpstart dashboard development. Harness diverse data sources and deliver data in formats like CSV, JSON, and XML for customized analytics. Design and implement dynamic, visually stunning dashboards using Community Dashboard Framework (CDF). Deploy and integrate plugins, leverage widgets, and manage dashboards effectively with version control. Enhance interactivity by customizing dashboard components, charts, and filters to suit unique requirements. Author(s) None Gaspar, an expert in Pentaho and its tools, has been a Senior Consultant at Pentaho, where he gained in-depth experience crafting analytics solutions. He brings to this book his teaching passion and field expertise, combining theoretical insights with practical applications. His approachable style ensures readers can follow technical concepts effectively. Who is it for? This book is ideal for developers who are looking to enhance their understanding of Pentaho's CTools portfolio to build advanced dashboards. A working knowledge of JavaScript and CSS will enable readers to get the most out of this guide. Whether you aim to extend your analytics capabilities or learn the tools from scratch, this book bridges the gap between learning and application.

"Mastering RStudio: Develop, Communicate, and Collaborate with R" is your guide to unlocking the potential of RStudio. You'll learn to use RStudio effectively in your data science projects, covering everything from creating R packages to interactive web apps with Shiny. By the end, you'll fully understand how to use RStudio tools to manage projects and share results effectively. What this Book will help me do Gain a comprehensive understanding of the RStudio interface and workflow optimizations. Effectively communicate data insights with R Markdown, including static and interactive documents. Create impactful data visualizations using R's diverse graphical systems and tools. Develop Shiny web applications to showcase and share analytical results. Learn to collaborate on projects using Git and GitHub, and understand R package development workflows. Author(s) Julian Hillebrand and None Nierhoff are experienced R developers with years of practical expertise in data science and software development. They have a passion for teaching how to utilize RStudio effectively. Their approach to writing combines practical examples with thorough explanations, ensuring readers can readily apply concepts to real-world scenarios. Who is it for? This book is ideal for R programmers and analysts seeking to enhance their workflows using RStudio. Whether you're looking to create professional data visualizations, develop R packages, or implement Shiny web applications, this book provides the tools you need. Suitable for those already familiar with basic R programming and fundamental concepts.

Pro XAML with C#: Application Development Strategies is your guide to real-world development practices on Microsoft’s XAML-based platforms, with examples in WPF, Windows 8.1, and Windows Phone 8.1. Learn how to properly plan and architect an application on one or more of these platforms for a robust, scalable solution. In Part I, authors Buddy James and Lori Lalonde introduce you to XAML and reveal proven techniques for developing successful line-of-business applications. You’ll also find out about some of the conflicting needs and interests that you might encounter as an enterprise XAML developer. Part II begins to lay the groundwork to help you properly architect your application, providing you with a deeper understanding of domain-driven design and the Model-View-ViewModel design pattern. You will also learn about proper exception handling and logging techniques, and how to cover your code with unit tests to reduce bugs and validate your design. Part III explores implementation and deployment details for each of Microsoft’s XAML UIs, along with advice on deploying and maintaining your application across different devices using version control repositories and continuous integration. Pro XAML with C# Application Development Strategies is for intermediate to experienced developers looking to improve their professional practice. Readers should have experience working with C# and at least one XAML-based technology (WPF, Silverlight, Windows Store, or Windows Phone).

Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you’ll learn how to use freely available open source tools to extract meaning from large complex biological data sets. At no other point in human history has our ability to understand life’s complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, you’re ready to get started. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles

Design Databases with Oracle SQL Developer Data Modeler In this practical guide, Oracle ACE Director Heli Helskyaho explains the process of database design using Oracle SQL Developer Data Modeler—the powerful, free tool that flawlessly supports Oracle and other database environments, including Microsoft SQL Server and IBM DB2. Oracle SQL Developer Data Modeler for Database Design Mastery covers requirement analysis, conceptual, logical, and physical design, data warehousing, reporting, and more. Create and deploy high-performance enterprise databases on any platform using the expert tips and best practices in this Oracle Press book. Configure Oracle SQL Developer Data Modeler Perform requirement analysis Translate requirements into a formal conceptual data model and process models Transform the conceptual (logical) model into a relational model Manage physical database design Generate data definition language (DDL) scripts to create database objects Design a data warehouse database Use subversion for version control and to enable a multiuser environment Document an existing database Use the reporting tools in Oracle SQL Developer Data Modeler Compare designs and the database

Proven PL/SQL Optimization Solutions In Oracle PL/SQL Performance Tuning Tips & Techniques, Oracle ACE authors with decades of experience building complex production systems for government, industry, and educational organizations present a hands-on approach to enabling optimal results from PL/SQL. The book begins by describing the discovery process required to pinpoint performance problems and then provides measurable and repeatable test cases. In-depth coverage of linking SQL and PL/SQL is followed by deep dives into essential Oracle Database performance tuning tools. Real-world examples and best practices are included throughout this Oracle Press guide. Follow a request-driven nine-step process to identify and address performance problems in web applications Use performance-related database tools, including data dictionary views, logging, tracing, PL/SQL Hierarchical Profiler, PL/Scope, and RUNSTATS Instrument code to pinpoint performance issues using call stack APIs, error stack APIs, and timing markers Embed PL/SQL in SQL and manage user-defined functions Embed SQL in PL/SQL using a set-based approach to handle large volumes of data Properly write and deploy data manipulation language triggers to avoid performance problems Work with advanced datatypes, including LOBs and XML Use caching techniques to avoid redundant operations Effectively use dynamic SQL to reduce the amount of code needed and streamline system management Manage version control and ensure that performance fixes are successfully deployed Code examples in the book are available for download.

This cookbook is a comprehensive guide to mastering IBM Cognos 10 Report Studio, enabling users to become proficient in developing professional-grade reports. Through practical recipes, you will learn how to harness the full potential of Report Studio, mastering both fundamental and advanced features for real-world application. What this Book will help me do Efficiently organize and process data using advanced sorting and filtering techniques. Create visually engaging and functional reports, including dynamic drill-through links and enhanced formatting options. Master the use of conditional formatting, cascaded prompts, and master-detailed queries in your reports. Enhance reports with Active Reports, direct XML editing, and by integrating JavaScript and HTML elements. Adopt industry best practices for report development, including version control and regression testing. Author(s) The author of this cookbook is an experienced IBM Cognos consultant with years of experience in developing business intelligence solutions and creating comprehensive reports. They focus on combining technical expertise with practical examples, presenting information in an approachable and user-friendly manner. Who is it for? This book is ideal for Business Intelligence Developers with a working knowledge of IBM Cognos 10 who seek to enhance their report-building skills. It also serves Business Analysts or Power Users familiar with basic report authoring who aim to explore advanced features. Prior knowledge of IBM Cognos 10 architecture and basic Report Studio functionalities is assumed.

Using Agile methods, you can bring far greater innovation, value, and quality to any data warehouse, business intelligence, or analytics project. However, conventional Agile methodologies must be carefully adapted to address the unique characteristics of DW/BI projects. In , Agile pioneer Ken Collier shows how to do just that. Agile Analytics Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets; support enormous and fast-growing data volumes; and more. Collier's techniques offer equal value whether your projects involve "back-end" data management, "front-end" business analysis, or both. Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your agile DW/BI project community works together towards success Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right now--whether you're an IT decision-maker, data warehouse professional, DBA, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results--and have fun along the way.

The "IBM Cognos 8 Report Studio Cookbook" by Abhishek Sanghani provides over 80 hands-on recipes to enhance your proficiency in creating business reports using Cognos 8 Report Studio. From mastering basic techniques to leveraging advanced features, this book is your guide to developing reports that meet real-world business demands. What this Book will help me do Understand and utilize advanced techniques for sorting, filtering, and aggregating data in reports. Implement features like conditional formatting, cascaded prompts, and master-detail queries to enhance report functionality. Create dynamic, user-friendly business reports tailored to specific requirements. Make use of XML specifications to customize reports beyond the capabilities of the default tools. Adopt best practices in report development such as version control and regression testing. Author(s) Abhishek Sanghani is an experienced Business Intelligence professional specializing in IBM Cognos and data analytics. With practical knowledge from implementing solutions for various industries, he brings a wealth of insight into creating powerful business reports. Abhishek's approachable writing makes advanced Report Studio concepts accessible to readers. Who is it for? This book is ideally suited for Business Intelligence or MIS developers working with Cognos Report Studio, seeking advanced guidance for creating reports. Business analysts and power users wanting to extend beyond basic report authoring will also benefit greatly. The book assumes a functional understanding of Cognos Studio and familiarity with its ecosystem.

Learn how to simplify the management of a data lake by enabling git-like operations over files in object storage. See how experimenting, reproducing data, and guaranteeing data quality are simplified and is all possible to achieve through open source tooling.

Taking a first look at running dbt projects natively in Snowflake Workspaces, the advantages and disadvantages compared to dbt Cloud, and whether moving right now fits your usecase. With hands-on demonstration and some extra tips on connecting Snowflake to your remote git dbt repository.