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UiPath Training in Naples | Ui Path Training | Robotic Process Automation Training | RPA Training
Disco / Locali
This UiPath training is a LIVE Instructor led training delivered for 16 hours over 4 weeks, 8 sessions, 2 sessions per week, 2 hours per session. What is UiPath? UiPath studio is a software solution. It converts the tedious tasks into UI automation. It will make manual, redundant, repetitive jobs efficient and faster. There is the best way to set up automation with little knowledge of programming. It is a tool that is used to design the automation process. It allows us to create a workflow that will help model the manual processes of the business. It enables to automate the back office. What are the Course Objectives? Complete knowledge of UI Path. Create automated projects. Create the workflow using diagram and flowchart. Create a Complete RPA Project. Who should take this Course? Working Professionals who are interested in learning UiPath - the leading RPA product. Those interested in learning how to automate manual, redundant, repetitive tasks. Prerequisites Familarity with Computer concepts Appreciation for Robotic Process Automation Technology Course Outline 1. Introduction To UIPath The User Interface Keyboard Shortcuts Updating UI Path Studio Connecting your Project to a Source Control Enabling Tracing Creating a Basic Workflow Introduction to Debugging a Workflow Managing Packages Types of Workflows 2. Sequences Flowcharts State Machines 3. Managing Variables Naming Best Practices The Variables Panel Types of Variables Generic Value Variables Text Variables True or False Variables Number Variables Array Variables Date and Time Variables Data Table Variables 4. Managing Arguments Naming Best Practices The Arguments Panel Using Arguments 5. About Imported Namespaces Importing New Namespaces 6. About Control Flow Control Flow Activities The Assign Activity The Delay Activity The Do While Activity The If Activity The Switch Activity The While Activity The For Each Activity The Break Activity 7. About Control Flow About Recording Types Automatic Recording Example of Automatic Recording with Basic and Desktop Example of Automatic Recording with Web Manual Recording 8. About UI Elements UI Activities Properties Input Methods Example of Using Input Methods Output or Screen Scraping Methods Examples of Using Output or Screen Scraping Methods 9. About Data Scraping Example of Using Data Scraping 10. About Selectors Selectors with Wildcards Full Versus Partial Selectors UiPath Explore
Introduction to MapReduce training for beginners in Naples | Map Reduce Training for Beginners | Advanced MapReduce Training
Corsi / Workshop
In this course we will introduce you to distributed data processing, how to use MapReduce to process large amounts of data. This course is focused on providing practical hands-on exercises. Students will learn to write MapReduce programs. Advanced Features of MapReduce will be covered as well. Course Schedule This is a weekend course that will be held July 20 - August 11, 2019 US Pacific Time The class sessions will be held-Saturday, Sunday every weekend 9 00-11 00 AM US Pacific time, each day. Please check your local date and time for first session. Prerequisite Desired but not required - Exposure to, Working proficiency of Java, sql. Course Features 4 weeks, 8 sessions, 16 hours of total LIVE Instruction Training material, instructor handouts and access to useful resources on the cloud provided Practical Hands on Lab exercises on cloud workstations provided Actual code and scripts provided Real-life Scenarios Course Outline 1. Introduction to MapReduce MapReduce Overview MapReduce in Hadoop History of MapReduce MapReduce applications Data Flow in MapReduce Map and Reduce operations Job submission flow of MapReduce Map Operation Job Initialization Task Assignment Job Completion Job Scheduling Job Failures Shuffle and sort Word Count Problem, Flow and Solution MapReduce Algorithms 2. Map Reduce Types and Formats Data Types File Formats Input Formats Output Formats Explain the Driver, Mapper and Reducer code Configuring development environment - Eclipse Writing Unit Test Running locally Running on Cluster 3. Understanding MapReduce Data Flow in MapReduce MapReduce example MapReduce Daemons Job tracker Task Tracker Other phases in MapReduce Data Flow in single, multiple and no reduce task 4. MapReduce with YARN Hadoop Architecture Problem with Hadoop 1.x, Hadoop 2.x features, YARN MapReduce Application Execution Flow YARN Workflow Anatomy of MapReduce Program 5. Advanced MapReduce Counters Sorting Input Splits in MapReduce MapReduce Combiner MapReduce Partitioner MapReduce Distributed Cache MRunit Reduce Join Joins - Map Side and Reduce Side Custom Input Format Sequence Input Format Side Data Distribution Refund Policy 100 refund can be applied if request is initiated 24 hours before the 1st course session. If a class is rescheduled cancelled by the organizer, registered students will be offered a credit towards any future course or a 100 refund.
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