75 Data Management courses in Nottingham delivered Live Online

How to handle Subject Access Requests and other Data Subject Rights.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is any IT, facilities or data centre professional who works in and around the data centre and has the responsibility to achieve and improve efficiency and environmental sustainability, whilst maintaining the availability and manageability of the data centre. Overview After completion of the course the participant will be able to: Understand the impact of data centres on the environment Describe the various environmental/energy management standards Understand the purpose and goals of the legally binding international treaties on climate change Implement various sustainable performance metrics and how to use them in the data centre environment Manage data centre environmental sustainability using international standards Set up the measurement, monitoring and reporting of energy usage Use power efficiency indicators in a variety of data centre designs Use best practices for energy savings in the electrical infrastructure and in the mechanical (cooling) infrastructure Use best practices for energy savings for the ICT equipment and data storage Understand the importance of water management and waste management Understand the different ways to use sustainable energy in the data centre Get practical tips and innovative ideas to make a data centre more sustainable The CDESS© course is aimed at providing knowledge of the standards and guidelines related to environmental sustainability, and how to move your data centre (existing or new) to a more environmentally sustainable design and operations. Impact of Data Centres on the Environment Predictions in 2010 Current situation Outlook and commitments What is Environmental Sustainability The importance of sustainability Senior management commitment Environmental sustainability framework Sustainability policies Performance standards and metrics Information policies Transparency Awareness Service charging models Environmental Management Environmental sustainability framework (ISO 14001) Standards and guidelines ? ISO 50001 / ISO 30134 Measurement and categories Baselining Trend analysis Reporting Power Effiðciency Indicators Various eðfficiency indicators Power Usage Effectiveness (PUE) PUE measurement levels Factors affecting PUE Measurement points and intervals PUE in mixed source environments Measuring PUE in a mixed-use building PUE reporting Impact of PUE after optimising IT load Electrical Energy Savings (Electrical) Identifying the starting point for saving energy Sizing of power DC power Generators UPS systems Power Factor (PF) Energy savings on lighting Electrical Energy Savings (Mechanical) Energy savings on the cooling infrastructure Temperature and humidity setpoints Various energy eðcient cooling technologies Energy savings on the airflow Liquid cooling Energy reusage PUE, ERE/ERF and Control Volume Electrical Energy Savings (ICT) Procurement IT equipment energy eðfficiency ITEEsv, SMPE, SMPO IT equipment utilisation Server virtualisation Open compute project Electrical Energy Savings (Data Storage) Data management Data storage management Data storage equipment effiðciency Water Management Water Usage Effectiveness (WUE) Improving WUE Water usage at the power generation source Energy Water Intensity Factor (EWIF) Waste Management Waste management policies Life-cycle assessment (Cradle to the grave) 3 R?s for waste management Reduce Reuse Second-hand market Recycle Sustainable Energy Usage Sustainable energy sources Power purchase agreements Energy attribute certificates Renewable Energy Factor (REF) Matching renewable energy supply and demand Sustainable energy storage Carbon trading Automated Environmental Management Systems Use of AI and machine learning Load migration Data Centre Infrastructure Management (DCIM) solutions

  Delivered in either our Live Online (4 days) or in our Classroom (5 days), the ISO/IEC 27701 Lead Implementer training course enables you to develop the necessary expertise to assist an organization to establish, implement, maintain and continually improve a Privacy Information Management System (PIMS) based on ISO/IEC 27701 by enhancing an existing ISMS based on ISO/IEC 27001 and the guidance of ISO/IEC 27002. About This Course   This training course is designed to prepare its participants implement a Privacy Information Management System (PIMS) in compliance with the requirements and guidance of the ISO/IEC 27701. Moreover, you will gain a comprehensive understanding of the best practices of privacy information management and learn how to manage and process data while complying with various data privacy regimes.   After mastering the implementation and management of a Privacy Information Management System (PIMS), you can sit for the exam and gain the "Certified ISO/IEC 27701 Lead Implementer' credential. The internationally recognized Certificate proves that you have the practical knowledge and professional capabilities to implement the ISO/IEC 27701 requirements in an organization.   Learning objectives   Master the concepts, approaches, methods and techniques used for the implementation and effective management of a PIMS. Learn about the correlation between ISO/IEC 27701, ISO/IEC 27001, ISO/IEC 27002 and other standards and regulatory frameworks. Understand the operation of a PIMS based on ISO/IEC 27701 and its principal processes. Learn how to interpret the requirements of ISO/IEC 27701 in the specific context of an organization. Develop the expertise to support an organization in effectively planning, implementing, managing, monitoring and maintaining a PIMS.   Education approach   This training course is based on both theory and best practices used in the implementation of PIMS. Lecture sessions are illustrated with examples based on case studies. Practical exercises are based on a case study which includes role playing and discussions. Practice tests are similar to the Certification Exam Prerequisites   A fundamental understanding of information security and comprehensive knowledge of the ISMS implementation principles What's Included?   Refreshments & Lunch (Classroom courses only) Course Slide Deck Official Study Guides CPD Certificate The Exam fees   Who Should Attend?   Managers and consultants involved in privacy and data management Expert advisors seeking to master the implementation of a Privacy Information Management System Individuals responsible and accountable for Personally Identifiable Information (PII) within organizations Individuals responsible for maintaining conformance with data privacy regimes requirements PIMS team members Accreditation Our Guarantee     We are an approved IECB Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training and exam retake offered Assessment   The exam consists of a 12 question essay type format, to be completed within 150 minutes and achieve a pass mark of 70%. Exam results are provided within 24 hours. Provided by   This course is Accredited by NACS and Administered by the IECB.

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. Introduction to end-to-end analytics using Microsoft Fabric Explore end-to-end analytics with Microsoft Fabric Data teams and Microsoft Fabric Enable and use Microsoft Fabric Knowledge Check Get started with lakehouses in Microsoft Fabric Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Exercise - Create and ingest data with a Microsoft Fabric Lakehouse Use Apache Spark in Microsoft Fabric Prepare to use Apache Spark Run Spark code Work with data in a Spark dataframe Work with data using Spark SQL Visualize data in a Spark notebook Exercise - Analyze data with Apache Spark Work with Delta Lake Tables in Microsoft Fabric Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise - Use delta tables in Apache Spark Ingest Data with DataFlows Gen2 in Microsoft Fabric Understand Dataflows (Gen2) in Microsoft Fabric Explore Dataflows (Gen2) in Microsoft Fabric Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric

Duration 5 Days 30 CPD hours This course is intended for This course is designed for individuals who have basic computer user skills and who are interested in obtaining a job as an entry-level IT technician. This course is also designed for students who are seeking the CompTIA A+ certification and who want to prepare for the CompTIA A+ Core 1 220-1101 Certification Exam and the CompTIA A+ Core 2 220-1102 Certification Exam. Overview On course completion, participants will be able to: Support operating systems. Install and configure PC system unit components and peripheral devices. Install, configure, and troubleshoot display and multimedia devices. Install, configure, and troubleshoot storage devices. Install, configure, and troubleshoot internal system components. Install, configure, and maintain operating systems. Maintain and troubleshoot Microsoft Windows. Explain network infrastructure concepts. Configure and troubleshoot network connections. Manage users, workstations, and shared resources. Implement client virtualization and cloud computing. Implement physical security. Secure workstations and data. Troubleshoot workstation security issues. Support and troubleshoot laptops. Support and troubleshoot mobile devices. Install, configure, and troubleshoot print devices. Implement operational procedures. CompTIA A+ certified professionals are proven problem solvers. They support today's core technologies from security to cloud to data management and more. CompTIA A+ is the industry standard for launching IT careers into today's digital world. It is the only industry recognized credential with performance-based items to prove pros can think on their feet to perform critical IT support tasks in the moment. It is trusted by employers around the world to identify the go-to person in end point management and technical support roles. CompTIA A+ is regularly re-invented by IT experts to ensure that it validates core skills and abilities demanded in the workplace. 1 - Installing Motherboards and Connectors Explain Cable Types and Connectors Install and Configure Motherboards Explain Legacy Cable Types 2 - Installing System Devices Install and Configure Power Supplies and Cooling Select and Install Storage Devices Install and Configure System Memory Install and Configure CPUs 3 - Troubleshooting PC Hardware Apply Troubleshooting Methodology Configure BIOS/UEFI Troubleshoot Power and Disk Issues Troubleshoot System and Display Issues 4 - Comparing Local Networking Hardware Compare Network Types Compare Networking Hardware Explain Network Cable Types Compare Wireless Networking Types 5 - Configuring Network Addressing and Internet Connections Compare Internet Connection Types Use Basic TCP/IP Concepts Compare Protocols and Ports Compare Network Configuration Concepts 6 - Supporting Network Services Summarize Services Provided by Networked Hosts Compare Internet and Embedded Appliances Troubleshoot Networks 7 - Summarizing Virtualization and Cloud Concepts Summarize Client-Side Virtualization Summarize Cloud Concepts 8 - Supporting Mobile Devices Set Up Mobile Devices and Peripherals Configure Mobile Device Apps Install and Configure Laptop Hardware Troubleshoot Mobile Device Issues 9 - Supporting Print Devices Deploy Printer and Multifunction Devices Replace Print Device Consumables Troubleshoot Print Device Issues 10 - Configuring Windows Configure Windows User Settings Configure Windows System Settings 11 - Managing Windows Use Management Consoles Use Performance and Troubleshooting Tools Use Command-line Tools 12 - Identifying OS Types and Features Explain OS Types Compare Windows Editions 13 - Supporting Windows Perform OS Installations and Upgrades Install and Configure Applications Troubleshoot Windows OS Problems 14 - Managing Windows Networking Manage Windows Networking Troubleshoot Windows Networking Configure Windows Security Settings Manage Windows Shares 15 - Managing Linux and macOS Identify Features of Linux Identify Features of macOS 16 - Configuring SOHO Network Security Explain Attacks, Threats, and Vulnerabilities Compare Wireless Security Protocols Configure SOHO Router Security Summarize Security Measures 17 - Managing Security Settings Configure Workstation Security Configure Browser Security Troubleshoot Workstation Security Issues 18 - Supporting Mobile Software Configure Mobile OS Security Troubleshoot Mobile OS and App Software Troubleshoot Mobile OS and App Security 19 - Using Support and Scripting Tools Use Remote Access Technologies Implement Backup and Recovery Explain Data Handling Best Practices Identify Basics of Scripting 20 - Implementing Operational Procedures Implement Best Practice Documentation Use Proper Communication Techniques Use Common Safety and Environmental Procedures

Autocad face to face training customised and bespoke. Online or Face to Face

Enhance your knowledge of natural gas and LNG sales agreements with EnergyEdge course. Enroll now to gain valuable industry knowledge and skills.

My popular 'Getting Started in Data Governance' course is making it's way across the pond!

Exciting news! My popular 'Getting Started in Data Governance' course is making it's way across the pond! Due to numerous requests, I'm thrilled to announce that I will be hosting a U.S. edition of the course.

Duration 2 Days 12 CPD hours This course is intended for A prior understanding of EU Data Protection legislation is recommended. Candidates are typically management professionals and decision-makers who already have responsibility for data protection compliance within their organisation.Co-Requisite Subjects Candidates should have a good understanding of their own organisation?s data management activities through the life cycle from initial acquisition, through the various areas of processing and usage, to eventual removal or destruction. Overview To equip the learner with a foundational understanding of the principles of the General Data Protection Regulation (GDPR) and to provide constructive suggestions on implementing compliant processes. The social, historical and legal background leading to the General Data Protection Regulation (GDPR) The scope and global context of the GDPR The key concepts within the GDPR The definition of all key words and phrases relating to this Data Protection regulation Principle One: The criteria governing fair, open and transparent processing of personal data Principle Two: Purpose Limitation, the challenge of limiting the processing within the context of specified and lawful purposes Principle Three: Minimisation of processing, and ensuring that only that data is processed which is necessary to achieve the purpose. Principle Two: Purpose Limitation, the challenge of limiting the processing within the context of specified and lawful purposes Principle Three: Minimisation of processing, and ensuring that only that data is processed which is necessary to achieve the purpose. Principle Four: Ensuring that any personal data held by the organisation is kept accurate and current, and that any processing of such data is appropriate Principle Five: Management and storage of personal data in a manner that meets regulatory obligations, while minimising the time that the individual remains identifiable Principle Six: The criteria governing safe, secure and confidential processing of personal data in order to protect its integrity Principle Seven: The key roles, responsibilities and accountabilities of those involved in Data Management within an organisation Establishment within a single Member State Joint Controllers Privacy by Design and by Default Nominated Representatives Third-party Contracts and shared liability Logging of data management processes Data Breach Notification obligations Privacy Impact Assessments Overseas transfer of personal data L2.8 The Data Subject Rights, and their implications for the Data Controller and the Data Processor L2.8.1 The ?right to be forgotten? L2.8.2 The right to restriction of processing L2.8.3 The right to object to certain processing L2.8.4 The right to have inaccurate data amended or erased L2.8.5 The right to data portability L2.8.6 The right of access to one?s personal data L2.8.7 Rights in relation to automated decision-making and profiling The role of the Data Protection Officer (DPO) The role of the Data Protection Officer (DPO) Criteria for designating a DPO Tasks of the DPO Position of the DPO within the organisation The role of the Supervisory Authority within the Member State The Lead Supervisory Authority and independence Investigative, corrective and advisory powers Independence of the Supervisory Authority Collaboration with other Supervisory Authorities Codes of Conduct and Certification The role, powers and tasks of the European Data Protection Board (EDPB) The remedies, liabilities and penalties available under the GDPR Right to raise a complaint Right to representation Right to effective judicial remedy Right to compensation and liability Administrative fines of up to ?10m or 2% of GAT Administrative fines of up to ?20m or 4% of GAT Provisions for specific processing situations Freedom of Expression Processing of official documents Processing of National Identification Numbers Processing regarding employment Processing for archiving purposes Processing under obligations of official secrecy Processing of data by religious organisations Preparing for implementation of the GDPR Review of data management policies and procedures Review of data assets and security structures Training and Awareness-raising Data management governance structures Embedding Privacy By Design and Default Codes of Conduct and Certification against standards Breach detection and notification procedures Review of third-party agreements, contracts