43145 Courses in Manchester delivered Online

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

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

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

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

This very practical session is designed to enable participants to improve the impact, clarity and accuracy of their reports. It focuses equally on the two key areas - structure and writing technique. This course will help participants: Scope reports based on objective and intended readership Write a structured report Use the Fog Index to ensure readability Write grammatically correct and well-punctuated text Review and edit their work. 1 Introduction Objectives and overview Introductions and personal aims 2 What makes a good report? Practical activity and feedback 3 Before you start The planning process and scoping a report Organising information Key report headings What goes where? Writing practice and review 4 Writing tips and techniques Clear English and use of language Grammar and sentence structure Refresher in punctuation Writing in the third person The Fog Index - and how to measure readability 5 Pulling it all together Reviewing and proofing 6 Review Summary of key learning points Action planning

We all tend to have challenges throughout our lives that cause varying levels of pressure. It is healthy and essential that people experience such challenges because up to a certain point an increase in pressure improves performance and quality of life. Too much pressure can be harmful and affect our health and wellbeing. This participative half-day workshop will explore the causes and impact of stress and provide an opportunity to learn some new ideas and techniques to cope with it. Practical tasks and exercises will be used to promote discussion and participants will be encouraged to share their own experiences and approaches. By the end of the workshop participants will be able to: Understand the causes and symptoms of stress and how to spot them Become more aware of personal habitual behaviours and approaches that get in the way of dealing with stress productively Learn ideas and approaches that help you to cope with the thoughts, emotions and physical feelings that happen in stressful and difficult situations Review and evaluate learning and have an action plan to take back and put into practice at work 1 Welcome, introductions and objectives Breaking the ice 2 Stress Its sources and effects on you Defining stress, its signs and symptoms 3 Exploring your 'default' habits Their consequences in stressful situations 4 Dealing with perception Strategies and approaches for coping with stress 5 Setting goals with positive outcomes Review and evaluation of learning Action planning

If you want to be better at making to-do lists or managing time better this is NOT for you! The time challenges we all face at work need to be addressed with a different approach. This 'bite-size' session takes a fresh approach to how we deal with time personally and challenges the belief that we don't always have enough time. The workshop will be participative, interactive, and will cover the personal relationship we have with time and how this impacts on dealing with challenges and ever-changing priorities on a daily basis at work. The workshop will give you some practical tools and ideas on dealing with your thieves of time from a different perspective, including interruptions and emails. To enable participants to organise and use their time effectively, using strategies to help with both 'thinking' and 'doing' that are fit for purpose. This workshop will enable you to: Recognise the barriers to effective time management and set goals to overcome them and get things done Understand how their mindset affects how they use time and use better ways to deal with the inbuilt patterns of behaviour this produces when at work Plan for tasks and projects in a productive way Use some new tools and techniques to tackle time thieves, including email and interruptions Review and evaluate their learning and have an action plan to take back to work 1 Welcome, introductions and objectives Exploring your relationship with time and how you focus your mind on daily work pressures in relation to time Past, present and future - where do you focus your energy at work? Time thieves - exploring the results of the pre-workshop questionnaire and learning strategies to deal with the roots of your time thieves 2 Personal strategies and tools: having a new mindset Emails, interruptions and curve balls Review and evaluation of learning Action-planning

Self-understanding is a prerequisite for leading and managing others responsibly and honourably. The field of Neuro Linguistic Programming has helped us to gain a better insight into how we all think and behave. Upon completion of this course participants will be able to: Gain an insight into the purpose and functions of the unconscious mind Develop flexibility to increase their for behaviours in different circumstances Appreciate how different people experience the world Create and set effective goals and direction Understand the NLP Model of Communication Adapt their communication style to maximise effectiveness Influence and persuade others by connecting with people Understand how empowerment can make life easier Appreciate how creativity works Learn creativity techniques to tap into the power of the team 1 Self-awareness Autopilot - your unconscious mind Developing flexibility How identify, values & beliefs shape our behaviour Models of the world 2 Creating direction Describing present and desired state Designing your direction Making it happen Self-mastery 3 Communication The NLP Model of Communication Insights to the way people think Understanding representation systems Reframing the way people think about negative experiences Using metaphor 4 Influence and persuasion Building trust Connecting with people Purpose intention and outcomes The difference empowerment makes 5 Creativity and innovation Hindrances to creativity and innovation Your natural state of creativity Getting unblocked Creativity techniques 6 Action plan Course summary and presentation of action plans

This is an essential programme for members of staff whose role exposes them to aggressive or violent behaviour. 1 What's happening? Issues around us Risks in context Personal experiences 2 Safety fundamentals Following internal policy and procedure Personal safety and lone working Use of technology 3 Nipping issues in the bud Recognising early warning signs Avoiding causing problems for ourselves 4 Calming - Reaching - Controlling Tips and techniques for potentially calming a situation Reaching and building rapport Accelerants - tips on avoiding accelerating a situation Assertiveness techniques Non-verbal behaviour Active listening and the use of questions and distractions Exploring ways forward and identifying win/wins Avoiding the secondary argument Fogging The 'drama triangle' If all else fails... 5 Harassment, stalking and on-line bulling What constitutes harassment and definition of stalking On-line bullying Steps to take 6 Reporting principles Importance of incidence reporting Taking care of us What next?