45221 Courses in Cardiff delivered Online

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Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 1.75 Days 10.5 CPD hours This course is intended for The course is aimed at experienced project managers, business management and specialists in both private and public companies. A good understanding of the basic mechanisms in organisations and markets is required. Overview Knowledge of the 4 dimensions needed for efficient business transformation and digital transformation: Platform, Planning, People and Processes Be able to look at your own organisation in an outside-in perspective Insight into the journey from a precise project scope to the project's components of work packages and to the following organisational implementation Ability to define precise digital service processes Understanding of business and organisational dynamics Tools to break down a defined business algorithm to specific specifications for an IT project Transformation Framework integrates well known management theory with common project management methods. Provides access to a unique and coherent toolbox and IT workbench, which includes the ability to transform digital strategies. The Structure Of 4Dimensions Framework The Digital Ecosystem Organisational setup Structure of the Business Platform Understanding of the course goal The 4D Framework Platform Dimension Plan Dimension People Dimension Working with the framework Views Approaches Wrap up of the day How To Work With 4Dimensions Framework Wrap up of day 1 Toolbox Change sheets Agile Transformation Plan Case work How to use the transformation tool 4dimensions.info How to succeed with the transformation Transformation roles How to get started

Course Overview Naresh IT's DevOps Online Training is a comprehensive program that explores the multifaceted realm of DevOps. Covering essential components, from foundational concepts to advanced tools and methodologies, this course delves into industry-best practices. DevOps is an innovative approach that combines software development (Dev) and IT operations (Ops) to promote collaboration, enhance efficiency, and boost productivity throughout the software development lifecycle. Participants can learn through live classes, either with or without videos, tailored to their preferences. Description This course provides in-depth training on DevOps principles, practices, and tools used in modern software environments. Topics include version control, continuous integration, continuous delivery, automation, infrastructure as code, and monitoring. Hands-on experience with tools like Git, Jenkins, Docker, Kubernetes, Ansible, and Terraform ensures a practical understanding of DevOps concepts. Course Objectives Understand the fundamental concepts and principles of DevOps. Learn about various DevOps tools and their usage in development and deployment. Gain proficiency in implementing continuous integration and continuous delivery pipelines. Master automation techniques for infrastructure provisioning, configuration management, and deployment. Acquire skills in containerization and orchestration using Docker and Kubernetes. Develop the ability to monitor, measure, and improve DevOps processes and systems. Prepare for industry-recognized DevOps certifications to enhance career prospects. Prerequisites Basic understanding of the software development lifecycle (SDLC). Familiarity with version control systems (e.g., Git). Knowledge of CI/CD concepts. Understanding of containerization technologies (e.g., Docker). Awareness of cloud computing platforms (e.g., AWS, Azure). Experience with the command line interface (CLI). Who can learn this course This course is suitable for: Software developers System administrators Operations engineers Quality assurance professionals IT managers Anyone interested in adopting DevOps practices for improved software delivery and IT operations efficiency. No prior experience with DevOps is required, although a basic understanding of software development and IT concepts is beneficial.

Duration 2 Days 12 CPD hours This course is intended for This course is for IT network or security professionals who have practical experience with the ProxySG in the field and wish to master the advanced network security of the ProxySG. Overview Solve common authentication and SSL issuesUnderstand the underlying architecture of SGOSMonitor and analyze ProxySG performanceUse policy tracing as a troubleshooting tool The ProxySG 6.6 Advanced Administration course is intended for IT professionals who wish to learn to master the advanced features of the ProxySG. Using Authentication Realms Describe the benefits of enabling authentication on the ProxySG Describe, at a high level, the ProxySG authentication architecture Understand the use of IWA realms, with both IWA Direct and IWA BCAAA connection methods Understanding Authentication Credentials Describe how NTLM and Kerberos authentication work in both IWA direct and IWA BCAAA deployments Configure the ProxySG to use Kerberos authentication Understanding Authentication Modes Describe authentication surrogates and authentication modes Describe ProxySG authentication in both explicit and transparent deployment mode Understanding HTTPS Describe key components of SSL encryption Describe how the SSL handshake works Describe some of the legal and security considerations related to use of the SSL proxy Managing SSL Traffic on the ProxySG Describe how the SSL proxy service handles SSL traffic Describe the standard keyrings that are installed by default on the ProxySG Identify the types of security certificates that the ProxySG uses Optimizing SSL Interception Performance Configure the ProxySG to process SSL traffic according to best practices for performance SGOS Architecture Identify key components of SGOS Explain the interaction among client workers and software workers in processing client requests Explain the significance of policy checkpoints Describe key characteristics of the SGOS storage subsystem Explain the caching behavior of the ProxySG Caching Architecture Describe the benefits of object caching on the ProxySG Explain the caching-related steps in a ProxySG transaction Identify and describe the HTTP request and response headers related to caching Describe, in general terms, how the ProxySG validates cached objects to ensure freshness Explain how the ProxySG uses cost-based deletion, popularity contests, and pipelining to improve object caching System Diagnostics Describe the use of the health monitor and health checks Explain the use of the event and access logs Describe the information available in advanced URLs and sysinfo files Describe the function of policy tracing and packet captures Introduction to Content Policy Language (CPL) Describe the fundamental concepts and purposes of ProxySG policy transactions Understand the relationship of layers, rules, conditions, properties, and triggers Describe the two types of actions in CPL Describe how to write, edit, and upload CPL code Using Policy Tracing for Troubleshooting Identify the two main types of ProxySG policy traces Describe the various sections of a policy trace result Configure a global and policy-driven trace Access and interpret policy trace results ProxySG Integration Identify other Symantec products that can be used as part of a complete security solution

Complete Massage Therapy Online Course This Investment Banking Training: LBO, IPO and M&A course gives you a clear and practical introduction to the world of investment banking. You will learn how investment banks operate, how they value companies, and how major financial deals like leveraged buyouts, initial public offerings and mergers and acquisitions work. The course explains these processes in a simple, step-by-step way, helping you build the skills to succeed in corporate finance and deal-making. Course Curriculum Module 1: Introduction to Investment Banking Module 2: Structure and Side of Investment Banking Module 3: Valuation Methods in Investment Banking Module 4: Leveraged Buyout (LBO) Module 5: Initial Public Offering (IPO) Module 6: Merger and Acquisition Module 7: Ethics in Investment Banking (Learn more about this online course)

Online Video Marketing Online Course This Investment Banking Training: LBO, IPO and M&A course gives you a clear and practical introduction to the world of investment banking. You will learn how investment banks operate, how they value companies, and how major financial deals like leveraged buyouts, initial public offerings and mergers and acquisitions work. The course explains these processes in a simple, step-by-step way, helping you build the skills to succeed in corporate finance and deal-making. Course Curriculum Module 1: Introduction to Investment Banking Module 2: Structure and Side of Investment Banking Module 3: Valuation Methods in Investment Banking Module 4: Leveraged Buyout (LBO) Module 5: Initial Public Offering (IPO) Module 6: Merger and Acquisition Module 7: Ethics in Investment Banking (Learn more about this online course)

Investment Banking: LBO, IPO and M&A Online Course This Investment Banking Training: LBO, IPO and M&A course gives you a clear and practical introduction to the world of investment banking. You will learn how investment banks operate, how they value companies, and how major financial deals like leveraged buyouts, initial public offerings and mergers and acquisitions work. The course explains these processes in a simple, step-by-step way, helping you build the skills to succeed in corporate finance and deal-making. Course Curriculum Module 01: COSHH Explained Module 02: COSHH Regulations Module 03: Health Problems Related to Hazardous Substances Module 04: Identifying Hazardous Substances Module 05: COSHH Risk Assessments Module 06: Control Measures and Monitoring Module 07: Implementing Control Measures (Learn more about this online course)

The aim of this course is to expose the commercial context within which technical work is carried out. It is to allow technical staff to understand how they fit into a larger picture, why they may be asked to undertake tasks that may not appear to be technical and the impact their interactions have within the commercial context. The scope of the programme includes: The course emphasises the collaborative nature of delivery and the need to offer value to customers. The principal training objectives for this programme are to help participants: Understand why technical roles are broader than we might assume Appreciate the importance of, and the need to support, sales Value the idea of 'Good Enough' Recognise what can affect profitability Realise the future needs protecting 1 Introduction (Course sponsor) Why this programme has been developed Review of participants' needs and objectives 2 That's not my job! How we see our own role in work How other people see our role Stakeholders: who are they and why do they matter? The organisational backdrop What is my role really? 3 Sales and marketing Where does the money come from? Where do we find customers? The sales process One-off sales versus repeat business Customer/supplier relationships What something costs versus what the customer will pay The value chain 4 Estimating Purpose of estimates The problem with precision Five estimating techniques 5 Change control Can you just do this for me? When being helpful leads to bankruptcy How to deal with change requests 6 Risk management Risk in projects Risk in operations Categories of risk 7 The value of intellectual property Issues with sharing information Commercial in confidence Non-disclosure agreements 8 Course review and action planning (Course sponsor present) Identify actions to be implemented individually What actions should be implemented to improve working with non-technical people? Conclusion

Medical Administration, Clinical Coding and Billing This course teaches you the core skills needed for medical administration, clinical coding, and billing. You will learn how to manage schedules, organise patient records, handle medical files, maintain confidentiality, and use proper codes for billing. The course also explains medical terms, ethics, safety rules, and how technology supports healthcare systems. It is ideal for anyone who wants to work in a medical office or support clinical operations. Course Curriculum Module 01: Introduction To Medical And Clinical Administration Module 02: Organise Schedules Module 03: Maintaining Medical Records Module 04: Effective Filing Systems In Medical Offices Module 05: Confidentiality In A Medical Environment Module 06: Controlling Stocks And Supplies Module 07: Medical Jargon And Terminology Module 08: Maintaining Workplace Safety Module 09: Information Technology In Health Care Module 10: Medical (Clinical) Coding And Billing Module 11: Legal Aspects And Ethics (Learn more about this online course)