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Learning Computer Programming has never been so easy! Do you want ot learn codes and create your own software? Get this course to learn about coding and become a Programmer. Learn the different coding languages and have a career in one of the most demanding jobs at this moment in time. A computer programmer creates the code for software applications and operating systems. After a software developer designs a computer program, the programmer writes code that converts that design into a set of instructions a computer can follow. He or she tests the program to look for errors and then rewrites it until it is error-free. The programmer continues to evaluate programs that are in use, making updates and adjustments as needed. This course teaches you all the roles and responsibilities you will take as a computer programmer and how to deal with each one of them. It will also teach you about coding which essential for any prospective computer programmer. Course Highlights Certified Computer Programming Skills Training is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Certified Computer Programming Skills Training into 33 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 1 day, 4 hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Certified Computer Programming Skills Training Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Certified Computer Programming Skills Training is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Certified Computer Programming Skills Training is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Computer Programming at a Glance COMPUTER PROGRAMMING AT A GLANCE 01:00:00 UNDERSTANDING THE LANGUAGE OF THE COMPUTER 00:30:00 Choosing a Language 00:30:00 Basic Programming Language BASIC Programming Language 01:00:00 Getting Started with BASIC Programming Language 01:00:00 BASIC Overview of BASIC Components 01:00:00 BASIC Special Variables 01:00:00 BASIC Probability Functions 01:00:00 Filtering the Data Set or Splitting the Data Set 01:00:00 DATA Blocks 01:00:00 DELETE Statement 01:00:00 FOR...NEXT Statement 01:00:00 IF. . . THEN Statement 01:00:00 PHP Programming Welcome to the world of programming! FREE 00:30:00 Getting Started FREE 01:00:00 Let's Start Coding! 01:00:00 PHP Strings 01:00:00 PHP Variables 01:00:00 Useful Variables 00:30:00 PHP Includes & Problem Solving 01:00:00 Tip When Creating Inc Pages 00:30:00 Redirecting Using PHP 00:30:00 Multiple Conditions 01:00:00 PHP Arrays 01:00:00 PHP Loops 01:00:00 Note on PHP Math Functions: 00:30:00 Functions 01:00:00 PHP Sessions 00:30:00 Cookies 01:00:00 Introduction to MySQL 01:00:00 Making The Connection 01:00:00 Inserting Data 01:00:00 Deleting / Removing Data 00:15:00

Description:  Microsoft Windows Project 2007 is project management software developed to help professionals with planning, assigning resources, tracking progress, managing budgets, and analysing workloads for projects. The Project has many powerful filters, sorts, and groups to help you organise your task or resource information that can be utilised if you know how to. In this course, you will learn the advanced skills, knowledge and information about Microsoft Project 2007. You will learn more advanced tasks and functions that you will use to be more effective and efficient in your work. Who is the course for? Professionals who want to learn about the Microsoft Project 2007. People who have an interest in the advanced features of the Project 2007. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Microsoft Project 2007 Advanced Level course is a useful qualification to possess and would be beneficial for you to become: Project Director Project Manager Project Management Officer Project Assistant. Microsoft Project 2007 Advanced Level Module One - Getting Started 00:30:00 Module Two - Viewing the Project 01:00:00 Module Three - Working with Tasks, Part One 01:00:00 Module Four - Working with Tasks, Part Two 01:00:00 Module Five - Working with Resources 01:00:00 Module Six - Working with Costs 01:00:00 Module Seven - Balancing the Project 01:00:00 Module Eight - Updating Project Progress 01:00:00 Module Nine - Checking Project Progress 01:00:00 Module Ten - Working with Reports 01:00:00 Module Eleven - Working with Multiple Projects 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities Activities - Microsoft Project 2007 Advanced Level 00:00:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Duration 2 Days 12 CPD hours This course is intended for Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions. Overview Introduction to advanced statistical analysis Group variables: Factor Analysis and Principal Components Analysis Group similar cases: Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Predict categorical targets with Discriminant Analysis Predict categorical targets with Logistic Regression Predict categorical targets with Decision Trees Introduction to Survival Analysis Introduction to Generalized Linear Models Introduction to Linear Mixed Models This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases. Introduction to advanced statistical analysis Taxonomy of models Overview of supervised models Overview of models to create natural groupings Group variables: Factor Analysis and Principal Components Analysis Factor Analysis basics Principal Components basics Assumptions of Factor Analysis Key issues in Factor Analysis Improve the interpretability Use Factor and component scores Group similar cases: Cluster Analysis Cluster Analysis basics Key issues in Cluster Analysis K-Means Cluster Analysis Assumptions of K-Means Cluster Analysis TwoStep Cluster Analysis Assumptions of TwoStep Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Nearest Neighbor Analysis basics Key issues in Nearest Neighbor Analysis Assess model fit Predict categorical targets with Discriminant Analysis Discriminant Analysis basics The Discriminant Analysis model Core concepts of Discriminant Analysis Classification of cases Assumptions of Discriminant Analysis Validate the solution Predict categorical targets with Logistic Regression Binary Logistic Regression basics The Binary Logistic Regression model Multinomial Logistic Regression basics Assumptions of Logistic Regression procedures Testing hypotheses Predict categorical targets with Decision Trees Decision Trees basics Validate the solution Explore CHAID Explore CRT Comparing Decision Trees methods Introduction to Survival Analysis Survival Analysis basics Kaplan-Meier Analysis Assumptions of Kaplan-Meier Analysis Cox Regression Assumptions of Cox Regression Introduction to Generalized Linear Models Generalized Linear Models basics Available distributions Available link functions Introduction to Linear Mixed Models Linear Mixed Models basics Hierachical Linear Models Modeling strategy Assumptions of Linear Mixed Models Additional course details: Nexus Humans 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search

Duration 0.5 Days 3 CPD hours This course is intended for This course is designed for business leaders and decision makers, including C-level executives, project managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who want to increase their knowledge of and familiarity with concepts surrounding data science. Other individuals who want to know more about basic data science concepts are also candidates for this course. This course is also designed to assist learners in preparing for the CertNexus DSBIZ™ (Exam DSZ-110) credential. Overview In this course, you will identify how data science supports business decisions. You will: Explain the fundamentals of data science Describe common implementations of data science. Identify the impact data science can have on a business The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improve and expand the success of the business. Data Science Fundamentals What is Data Science? Types of Data Data Science Roles Data Science Implementation The Data Science Lifecycle Data Acquisition and Preparation Data Modeling and Visualization The Impact of Data Science Benefits of Data Science Challenges of Data Science Business Use Cases for Data Science Additional course details: Nexus Humans CertNexus Data Science for Business Professionals (DSBIZ) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CertNexus Data Science for Business Professionals (DSBIZ) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This is an introductory level course, designed for web developers that need to upgrade core skills leveraging modern scripting and web development languages and standards. This course provides an excellent foundation for continued learning to gain in-demand skills in in-demand skills and technologies such as Angular, React, NodeJS, JQuery and more. This course can also be tuned for non-developers. Please inquire for details. Overview This 'skills-focused' course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our instructors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment guided by our expert team, attendees will explore: HTML5: How to effectively meet requirements using the full range of HTML5 semantic and structural elements To work with technologies such as web storage, application caching, and cross-domain messaging to improve performance and the user experience CSS: What features CSS3 supports and how they can be effectively used with HTML5 and other technologies To adapt to varying degrees of browser support for HTML5 and CSS3 JavaScript: What JavaScript is, how it relates to other programming languages, and how to script your web pages with it To traverse and manipulate the DOM and handle events in ways that work in all browsers To work with closures and prototypes and other exotic features of JavaScript Debugging What is needed to effectively debug these web technologies How to use both browser-based and proxy-based debuggers and tools Introduction to HTML5, CSS3 & JavaScript is geared for developers who need to understand the latest web technologies and responsive design practices central to targeting the entire spectrum of user platforms and browsers. This jumpstart style course provides a balanced mixture of theory and practical labs designed to take students through HTML5, CSS3 and JavaScript. Students who attend this course will leave this course armed with the new skills to begin to design, implement, and deploy robust, flexible, and safe web applications HTML Refresher HTML Review Introduction to HTML5 Introduction to CSS CSS Basics CSS3 Overview CSS3 Advanced Selectors CSS3 Visual Effects Introduction to JavaScript JavaScript Basics Debugging Tools JavaScript Functions JavaScript Arrays, Math and Date JavaScript Event Handling and the DOM Object-Oriented JavaScript

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is as follows: Cloud solution architects Cloud administrators Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview After you complete this course the learner will be able to meet these overall objectives: Describe what clouds are supported and how to configure clouds for Cost Optimizer Examine the Cost Optimizer snapshots of costs incurred by the various clouds installed for an organization CLDCO, Mulitcloud Cost Optimization with Cisco CloudCenter Suite is a 1-day course that teaches you how the reporting and analysis of consumption the cost optimizer provides, functions within a Cisco© CloudCenter Suite. The cost optimizer works together with two other primary mechanisms: a workload manager that helps users deploy applications and manage governance policies, and an action orchestrator that provides seamless integration and workflow automation. Through lessons and hands-on experiences, you will learn the functionality of the CloudCenter cost optimizer.This course will help you:Acquire the advanced skills and techniques using the CloudCenter Suite for a consistent experience across all environments, whether you plan to deploy in the cloud or on-premisesLearn how to use the tools of cost management and workload optimization by leveraging the functionality of the entire CloudCenter suite Implementing Cisco CloudCenter Suite Cost Optimizer Cisco CloudCenter Suite Cost Optimizer Examining Cost Optimizer Inventory, Reports, Rightsizing, and Troubleshooting Configure Cost and Inventory Reports in the User Interface Additional course details: Nexus Humans Cisco Multicloud Cost Optimization with Cisco CloudCenter Suite (CLDCO) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Multicloud Cost Optimization with Cisco CloudCenter Suite (CLDCO) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for Participants who have actual experience in the data centre and/or IT infrastructures are best suited. Attendance of the CDCP© course is recommended but not a requirement. Overview After completion of the course the participant will be able to: 1. Develop and review their data centre strategy 2. Use different risk assessment methodologies together with practical tips specifically for data centre migrations to reduce the risk during a data centre migration 3. Understand different migration strategies 4. Understand the legal aspects when migrating a data centre 5. Understand the importance of Business Service Reviews and Service Level Objectives 6. Size and design the target data centre 7. Understand the importance of detailed discovery and how dependencies influence migration waves 8. Understand the safety requirements during migration 19. Get lots of practical tips when moving to another data centre This course is designed to expose participants to a step-by-step methodology which will enable them to reduce the risks involved when undertaking a data centre migration. It will also give participants a lot of valuable practical hints and tips by trainers having extensive experience in moving and consolidating mission critical data centre. Data Centre Strategy Data centre lifecycle Reasons to migrate a data centre Alternatives to data centre migration Consolidation Outsourcing Cloud computing Upgrade existing data centre or build new Project Management Project management and methods Scope statement Statement Of Work (SOW) Work Breakdown Structure (WBS) Allocate time to the project Cost and estimation methodology Project communication Risk Management Risk management and methods Risk identification Risk assessment methodologies Qualitative approach Semi-quantitative approach Quantitative approach Risk evaluation Risk treatment Risk in data centre migrations Migration Strategies Different data centre migration strategies Heterogeneous migration Homogeneous migration Physical migration Different IT transformations Pre-migration transformation Migration transformation Post-migration transformation Legal Aspects Regulatory requirements Contractual considerations Legal aspects when decommissioning High Level Discovery & Planning The importance of Business Service Reviews The concept of Availability The concept of Recoverability The importance of Service Level Objectives Requirements on designing the target IT architecture Information needed for high level planning Design Target Data Centre Requirements for the target data centre Sizing the data centre Architectural requirements Cooling requirements Power requirements Security Detailed Discovery and Planning The importance of discovery Automated discovery tools Asset management Network and system dependencies Detailed migration planning Migration waves Staffing Warranties and insurance Safety Safety precautions Technical safety review Electrical safety Lifting Personal safety during migration Fire safety during migration Security Controversy between access and security Access control Managing security during migration Security during migration Key management Practical hints and tips Continuous improvement Implementation Rehearsal Route investigation Resourcing Logistics team Packing Transport Installing the equipment Post migration support End of Project Why project closure Lessons learned Phased completion of project Criteria for project closure The outcome of the project End of project Exam: Certified Data Centre Migration Specialist Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Duration 2 Days 12 CPD hours This course is intended for This course is intended for Data Warehouse Administrator, Database Administrator, Database Designer, Support Engineer, and Technical Administrator. Overview Upon successful completion of this course, students will be able to Install Oracle Grid Infrastructure for a Standalone Server, Configure ASMLIB and create ASM disk groups, Apply the latest patch set updates to the Grid Infrastructure software, Install Oracle Database software, Use Oracle Restart to manage components, Prepare the Linux operating system for Oracle software installation, Upgrade Oracle Database, Create a container database, Install Oracle Grid Infrastructure for an Independent Server, Create an Oracle Database using DBCA, and Install the latest patch set updates to the Oracle database software. This Oracle Database: Deploy, Patch and Upgrade Workshop gives you detailed information to help you install Oracle Database software. In this course, you will be introduced to Oracle Database Cloud Service. Oracle Database Overview Oracle Database Introduction Oracle Database Architecture Overview Oracle Database Instance Configurations Oracle Database Memory Structures Process Structures Database Storage Architecture Logical and Physical Database Structures Container and Pluggable Database Overview Installing Oracle Grid Infrastructure for a Standalone Server Overview of Oracle Grid Infrastructure for a Standalone Server System Requirements for Oracle Grid Infrastructure Configuring Storage for Oracle Automatic Storage Management (ASM) Installing Oracle Grid Infrastructure for a Standalone Server Upgrading Oracle Grid Infrastructure for a Standalone Server Installing Oracle Database Software Planning Your Installation System Requirements for Oracle Database Preparing the Operating System Using 4 KB Sector Disks Setting Environment Variables Checking the System Requirements Using the Oracle Universal Installer (OUI) Performing a Silent Mode Installation Creating an Oracle Database by Using DBCA Planning the Database Storage Structure Choosing non-CDB or CDB Types of Databases (based on workload) Choosing the Appropriate Character Set Understanding How Character Sets are Used Setting the NLS_LANG Initialization Parameter Using the Database Configuration Assistant (DBCA) Using Oracle Restart Oracle Restart Overview Oracle Restart Process startup Controlling Oracle Restart Choosing the Correct SRVCTL Utility Oracle Restart Configuration Using the SRVCTL Utility Obtaining Help for the SRVCTL Utility Starting Components by Using the SRVCTL Utility Introduction to Upgrading to Oracle Database Upgrade Methods Data Migration Methods Supported Releases for Direct Upgrade Overview of Upgrade Process Performing a Rolling Upgrade Upgrading a CBD Preparing to Upgrade to Oracle Database Developing a Test Plan Performance Testing Requirements for Databases Using Oracle Label Security or Oracle Database Vault Requirement for Databases Using Oracle Warehouse Builder Using the Pre-Upgrade Information Tool Backing Up the Database Installing the Oracle Database Software Preparing the New Oracle Home Upgrading to Oracle Database Upgrading by Using the Database Upgrade Assistant (DBUA) Manually Upgrading to Oracle Database Migrating a non-CDB to a CDB Performing Post-Upgrade Tasks Migrating to Unified Auditing Performing Post-Upgrade Tasks Following a Manual Upgrade Migrating Data by Using Oracle Data Pump Data Pump Overview Migrating by Using Data Pump Importing by Using a Network Link