Duration 2 Days 12 CPD hours This course is intended for This class has something for everything, from beginners who wish to customise their data entry forms in SharePoint right up to advanced users who need to use advanced formulas to deliver more bespoke actions to their apps. Overview After taking this course, students will be able to: - Understand when to use PowerApp. - Describe the components of PowerApps and their correct use. - Create PowerApps from existing data sources. - Brand PowerApps. - Customize PowerApps beyond just using the automated wizards. - Connect to a range of data sources from Excel to Azure SQL. - Understand the difference between canvas apps and model-driven apps. - Integrate PowerApps with other Office 365 systems ? including Teams and SharePoint Online. - Administer and Maintain PowerApps Students will be taught how to design, test and publish new apps that work with a variety of data sources. We will take users through a selection of well-crafted lessons to help them build new applications for their business. 1 - AN INTRODUCTION TO POWERAPPS What is PowerApps? The benefits of apps How to get PowerApps Canvas Apps and Model-Driven Apps License Options and Costs Discover PowerApps with Templates Lab 1: Introduction to PowerApps 2 - GETTING STARTED WITH POWERAPPS Building a new app from a data source Add, edit and remove controls Intro to Formulas Testing an app App Settings Publish and Share Apps Version History and Restore PowerApps Mobile App Lab 1: Getting Started 3 - BRANDING AND MEDIA Less is more Duplicate Screens Fonts Screen Colours and Matching Colours Screen Backgrounds Buttons and Icons Hide on Timer Size and Alignment by reference Show and Hide on Timer Lab 1: Branding and Media 4 - POWERAPPS CONTROLS Text Controls for Data Entry and Display Controls ? Drop downs, combo box, date picker, radio button and more Forms ? Add and edit data in underlying data sources quickly Charts ? present information in pie, line and bar charts Lab 1: Build Apps from Blank 5 - DATA SOURCES AND LOGIC Data Storage and Services How do I decide which database to use? Connect to on-premises data - Gateway What is Delegation? Specific Data Examples Displaying Data Lab 1: Data Source and Logic 6 - MODEL-DRIVEN APPS What is a model-driven app? Where will my data be stored? How do create a model-driven app Canvas vs model-driven summary Lab 1: Model-Driven App 7 - POWERAPP INTEGRATION Embed PowerApps in Teams Embed PowerApps in SharePoint Online Start a Flow from a PowerApp Lab 1: PowerApp Integration 8 - ADMINISTRATION AND MAINTENANCE OF POWERAPPS Identify which users have been using PowerApps Reuse an app in another location (move from testing or development to production) Review app usage Prevent a user from using PowerApps Manage environments Lab 1: Administration and Maintenance Additional course details: Nexus Humans 55265 Microsoft PowerApps 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 55265 Microsoft PowerApps 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.
OVERVIEW Prerequisites—DIAD training or equivalent working experience This one-day course will cover using Power BI Desktop to import and shape data from a variety of sources. It will also walk through Power BI capabilities you can use to enhance the data model for your business users. The course covers key aspects of how to create a great data model to meet your business needs, various features in Power BI used to enhance data models so you can build great reports, and an introduction to DAX to create calculations. After completing this training, the attendees should be able to import data from a variety of data sources into Power BI, shape the data, create the data model, and write DAX functions to the Power BI model. COURSE BENEFITS: Understand the Power BI Desktop data model, its components and most effective schemas Describe concepts of calculated columns and measures Create queries using M Create calculations with DAX Understand the use of functions Create and optimize a data model Understand the consequences of data model design decisions WHO IS THE COURSE FOR? Power BI report developers who wish to improve the structure of their data models Power BI report developers who wish to use advanced features like parameters and M coding in Power Query Power BI practitioners who wish to optimise their models more effectively Attendees wishing to prepare thoroughly for the DAX In A Day course COURSE OUTLINE Module 1 Getting And Shaping The Data Understand what is meant by data model in the context of Power BI Understand the consequences of data model design decisions Understand consequences of Power BI’s data type handling Understand data connection options Module 2 Basic Data Modelling Understand basic data modelling Understand basic data model types Explore dimension tables and fact tables Explore data connections Module 3 Getting Started With M (Power Query Language) Get introduced to M Understand key components and syntax Module 4 Understanding Logic Operators Understand Transformations Understand Join operation Module 5 Introduction To DAX Get introduced to DAX and how can it be used Understand working with parameters and DAX (lab combining the previous module) Module 6 Working With Functions - DAX CALCULATE And More Understand working with functions Understand the basics of the CALCULATE formula Module 7 Modelling With Power BI & DAX Best Practice Gain familiarity with basic data modelling for business scenarios Learn some best practices for working with Power BI
Duration 1 Days 6 CPD hours This course is intended for Security IT business-level professionals interested in cloud security practices Security professionals with minimal to no working knowledge of AWS Overview Assimilate Identify security benefits and responsibilities of using the AWS Cloud Describe the access control and management features of AWS Explain the available methods for providing encryption of data in transit and data at rest when storing your data in AWS. Describe how to secure network access to your AWS resources Determine which AWS services can be used for monitoring and incident response This course covers fundamental AWS cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured. Based on the AWS Shared Security Model, you learn where you are responsible for implementing security in the AWS Cloud and what security-oriented services are available to you and why and how the security services can help meet the security needs of your organization. Prerequisites Working knowledge of IT security practices and infrastructure concepts, familiarity with cloud computing concepts 1 - Security on AWS Security design principles in the AWS Cloud AWS Shared Responsibility Model 2 - Security OF the Cloud AWS Global Infrastructure Data center security Compliance and governance 3 - Security IN the Cloud ? Part 1 Identity and access management Data protection essentials Lab 01 ? Introduction to security policies 4 - Security IN the Cloud ? Part 2 Securing your infrastructure Monitoring and detective controls Lab 02 ? Securing VPC resources with Security Groups 5 - Security IN the Cloud ? Part 3 DDoS mitigation Incident response essentials Lab 03 ? Remediating issues with AWS Config Conformance Packs 6 - Course Wrap Up AWS Well-Architected tool overview Next Steps Additional course details: Nexus Humans AWS Security Essentials 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 AWS Security Essentials 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.
About this Virtual Instructor Led Training (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: Understand why the data asset is now considered as a main asset by energy organizations Appreciate the importance of data governance and become an active stakeholder of it Understand the architecture and implementation of data structure in their professional environment Get familiarized with the more important data management activities such as data security and data quality Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives A detailed reference manual A lexicon of terms for data-management Limited class size to encourage the interactivity Target Audience This VILT course is intended for: Junior/new data managers Geoscientists Reservoir engineers Producers Maintenance specialists Construction specialists Human resources Legal Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations
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The GDPR came into effect in May 2018. This legislation is designed to guide organisations in their obligations relative to the processing of personal and sensitive data. About This Course Organisations are required to comply with the GDPR regardless of their size of business. If you process 'personal data', there is a potential need to be compliant with the legislation. The scope of the GDPR considers how this information is collected, stored, used, transported, shared and disposed of. To ensure organisations' understand this obligation, this interactive one-day course considers both scoping and auditing of an organisations processing activities, as well as an understanding of compliance with GDPR. Learning Outcomes; GDPR - what is it and how does it apply to us? Personal and sensitive data Lawful basis for processing Consent and the GDPR The Data Protection Act 2018 Data Subject rights The role of the ICO Data breach or Incident? Privacy by Design and by default GDPR Audit checklist Prerequisites There are no prerequisites to attend this course, however all attendees are expected to have a basic understanding of the Data Protection principles. What's Included? Refreshments & Lunch (Classroom courses only) Course Slide Deck Quizzes Who Should Attend? The course is designed for any member of the organisation whose role includes processing personal data. Data Protection Officers, Information Security team members or Information Governance Leads who may also see benefit in attending. Accreditation Assessment There is no exam with this course but delegates do receive a Course Attendance Certificate and an 8 hour CPD Certificate. Provided by This course is Accredited by NACS and administered by the IECB
Duration 2 Days 12 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 who has the responsibility to achieve and improve the availability and manageability of the data centre. Overview After completion of the course the participant will be able to:? Choose an optimum site for mission-critical data centre based on current and future needs? Describe all components that are important for high availability in a data centre and how to effectively setup the data centre? Name and apply the various industry standards? Describe the various technologies for UPS, fire suppression, cooling, monitoring systems, cabling standards, etc, and to select and apply them effectively to cost-efficiently enhance the high-availability of the data centre.? Review the electrical distribution system to avoid costly downtime? Enhance cooling capabilities and efficiency in the data centre by using existing and new techniques and technologies for the increased cooling requirements of the future? Design a highly reliable and scalable network architecture and learn how to ensure installers apply proper testing techniques? Create effective maintenance contracts with equipment suppliers ensuring the best return on investment? Setup effective data centre monitoring ensuring the right people get the right message? Ensure proper security measures, both procedural and technical, are established to safeguard your company's valuable information in the data centre The course will address how to setup and improve key aspects such as power, cooling, security, cabling, safety, etc., to ensure a high available data centre. It will also address key operations and maintenance aspects. The Data Centre, it?s Importance and Causes for DowntimeData Centre Standards and Best PracticesData Centre Location, Building and Construction Selecting appropriate sites and buildings and how to avoid pitfalls Various components of an effective data centre and supporting facilities setup Raised Floor/Suspended Ceiling Uniform, concentrated and rolling load definitions Applicable standards Raised Floor guidelines Signal Reference Grid, grounding of racks Disability act and regulations Suspended ceiling usage and requirements Light Standards Light fixture types and placement Emergency lighting, Emergency Power Supply (EPS) Power Infrastructure Power infrastructure layout from generation to rack level ATS and STS systems Redundancy levels and techniques Three-phase and single-phase usage Power distribution options within the computer room Power cabling versus bus bar trunking Bonding versus grounding Common Mode Noise and isolation transformers Distribution boards, form factors and IP-protection grades Power quality guidelines Real power versus apparent power How to size and calculate load in the data centre Generators Static and dynamic UPS systems, selection criteria, how they operate and energy efficiency option Battery types, correct selection and testing Thermo-graphics Electro Magnetic Fields Electrical fields and magnetic fields definitions and units of measurements Sources of EMF Effects of EMF on human health and equipment (H)EMP Standards EMF shielding solutions Equipment Racks Rack standards, properties and selection criteria Security considerations Power rail/strip options Cooling Infrastructure Temperature and humidity recommendations Cooling measurement units and conversion rates Sensible and latent heat definitions Differences between comfort and precision cooling Overview of different air conditioner technologies Raised floor versus non-raised floor cooling Placement of air conditioner units and limitations to be observed Supplemental cooling options Cold aisle/hot aisle containment Water Supply Importance of water supply and application areas Backup water supply techniques Designing a Scalable Network Infrastructure The importance of a Structured Cabling System Planning considerations Copper and Fiber cable technology and standards ANSI/TIA-942 Cabling hierarchy and recommendations Testing and verification SAN storage cabling Network redundancy Building-to-building connectivity Network monitoring system requirements Fire Suppression Standards for fire suppression Detection systems Various total flooding fire suppression techniques and systems, their benefits and disadvantages Handheld extinguishers Signage and safety Regulatory requirements and best practices Data Centre Monitoring Data centre monitoring requirements EMS versus BMS Water leak detection systems Notification options and considerations Operational Security and Safety Practices Data centre security layers Physical, infrastructure and organisational security Safety measures and essential signage Labelling Choosing a labelling scheme Recommended labelling practices Network labelling Documentation How to setup proper documentation Document management policies and procedures Cleaning Cleaning practices for the data centre MTBF/MTTR Standards and definitions Calculation models The ?real? value Maintenance Contracts/SLA/OLAEXAM: Certified Data Centre Professional Additional course details: Nexus Humans Certified Data Centre Professional (CDCP) 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 Certified Data Centre Professional (CDCP) 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.
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European Data Protection Principles of Data Protection in Europe covers the essential pan-European and national data protection laws, as well as industry-standard best practices for corporate compliance with these laws. Those taking this course will gain an understanding of the European model for privacy enforcement, key privacy terminology and practical concepts concerning the protection of personal data and trans-border data flows. The training is based on the body of knowledge for the IAPP's ANSI-accredited Certified Information Privacy Professional/Europe (CIPP/E) certification program. Privacy Programme Management Principles of Privacy Management is the how-to training on implementing a privacy program framework, managing the privacy program operational lifecycle and structuring a knowledgeable, high-performing privacy team. Those taking this course will learn the skills to manage privacy in an organisation through process and technology-regardless of jurisdiction or industry. The Principles of Privacy Program Management training is based on the body of knowledge for the IAPP's ANSI-accredited Certified Information Privacy Manager (CIPM) certification programme. Make a difference in your organization and in your career. The CIPM designation says that you're a leader in privacy program administration and that you've got the goods to establish, maintain and manage a privacy program across all stages of its lifecycle. About This Course Delivered in a modular format, this four day course covers Days 1 & 2 Module 1: Data Protection Laws Introduces key European data protection laws and regulatory bodies, describing the evolution toward a Harmonised European Legislative Framework. Module 2: Personal Data Defines and differentiates between types of data-including personal, anonymous, pseudo-anonymous and special categories. Module 3: Controllers and Processors Describes the roles and relationships of controllers and processors. Module 4: Processing Personal Data Defines data processing and GDPR processing principles, Explains the application of the GDPR and outlines the legitimate bases for processing personal data. Module 5: Information provision Explains controller obligations for providing information about data processing activities to data subjects and Supervisory Authorities. Module 6: Data Subjects 'Rights Describes data subjects' rights, applications of rights and obligations controller and processor. Module 7: Security or Processing Discusses considerations and duties of controllers and processors for Ensuring security of personal data and providing notification of data breaches. Module 8: Accountability Investigates accountability requirements, data protection management systems, data protection impact assessments, privacy policies and the role of the data protection officer. Module 9: International Data Transfers Outlines options and obligations for transferring data outside the European Economic Area, Decisions adequacy and appropriateness safeguards and derogations. Module 10: Supervision and Enforcement Describes the role, powers and procedures or Supervisory Authorities; the composition and tasks of the European Data Protection Board; the role of the European Data Protection Supervisor; and remedies, liabilities and penalties for non-compliance. Module 11: Compliance Discusses the applications of European data protection law, legal bases and compliance requirements for processing personal data in practice, employers-including processing employee data, surveillance, direct marketing, Internet technology and communications and outsourcing. Days 3 & 4 Module 1: Introduction to privacy program management Identifies privacy program management responsibilities, and describes the role of accountability in privacy program management. Module 2: Privacy governance Examines considerations for developing and implementing a privacy program, including the position of the privacy function within the organization, role of the DPO, program scope and charter, privacy strategy, support and ongoing involvement of key functions and privacy frameworks. Module 3: Applicable laws and regulations Discusses the regulatory environment, common elements across jurisdictions and strategies for aligning compliance with organizational strategy. Module 4: Data assessments Relates practical processes for creating and using data inventories/maps, gap analyses, privacy assessments, privacy impact assessments/data protection impact assessments and vendor assessments. Module 5: Policies Describes common types of privacy-related policies, outlines components and offers strategies for implementation. Module 6: Data subject rights Discusses operational considerations for communicating and ensuring data subject rights, including privacy notice, choice and consent, access and rectification, data portability, and erasure and the right to be forgotten. Module 7: Training and awareness Outlines strategies for developing and implementing privacy training and awareness programs. Module 8: Protecting personal information Examines a holistic approach to protecting personal information through privacy by design. Module 9: Data breach incident plans Provides guidance on planning for and responding to a data security incident or breach. Module 10: Measuring, monitoring and auditing program performance Relates common practices for monitoring, measuring, analyzing and auditing privacy program performance Prerequisites There are no prerequisites for this course but attendees would benefit from a review of the materials on the IAPP SITE What's Included? 1 years membership of the IAPP Breakfast, Lunch, mid-morning and afternoon snacks, teas, coffees Official Study Guides* Official Participant Guides* Official Exam Q&A's* Both exam fees * In electronic format for Live Online and hard copy for Classroom delegates Who Should Attend? This course is suitable for aspiring Data Protection Officers, as well as Information Security Managers, Lawyers, Data Managers, Analysts and Risk Teams. Provided by Our Guarantee We are an approved IAPP 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 a minimum of 25 years 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 offered for retakes - come back within a year and only pay for the exam.