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Build confidence and positivity using techniques from the worlds of neuroscience, positive psychology and mindfulness.

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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COURSE INTRODUCTION  The purpose of this course is to introduce / refresh participants’ knowledge and skills in the essential aspects of diabetes management in their practice setting.  AIMS AND OBJECTIVES  Identify their current knowledge of diabetes care and how confident they feel about offering advice to a patient with diabetes and or their family. Purpose and outcomes of the main treatment options for people with diabetes . Discuss the importance of addressing the person’s needs and how regular clinic visits impact on the management of diabetes All course materials and certificate of attendance Accreditation 6 CPD points awarded completion. Accredited by One Awards (*Certificate £30) and CPD Standards (*Certificate free) Discuss how to build relationships and establish an environment that enables the person with diabetes to take an active role in their diabetes management  COURSE CONTENTS OVERVIEW  Aetiology and diagnosis of type 1 and type 2. Difference between type 1 and type 2 diabetes  Implications for practice  Management goals TYPE 1  Treatment and management options  Carbohydrate awareness  Challenges in self-management  Hypoglycaemia and hyperglycaemia  Screening and the annual review TYPE 2  First line treatment and step-wise options  Food choices and relation to risk  Activity and type 2 diabetes  Cardiovascular disease and type 2 diabetes  Screening and annual review  SUPPORTING PEOPLE WITH DIABETES AND THEIR FAMILY  Seeing the person not the disease  Consultation skills  Ongoing support needs .  Food and lifestyle messages for diabetes  Annual review and screening including foot care advice  Blood glucose monitoring  Consultation skills and relationship building  Complications and treatment options  WHO SHOULD ATTEND?  Nurses HCAs

Imagine you are holding a card in your hand. It is not just any card, but a card that you made yourself. A card that expresses your love, gratitude, celebration, or sympathy. A card that can make someone's day, lift their spirits, or show them that you care. How would you feel? How would they feel? If you want to experience the joy of creating and sending your handmade cards, this Creative Card Making course is for you! You'll also discover how to create unique folds and pop-up cards that will wow your recipients. And if you're feeling ambitious, you can even learn how to use hand lettering and calligraphy to write beautiful messages on your cards. By the end of this course, you'll be able to create beautiful, handmade greeting cards that reflect your personality and style. And who knows, you might even turn your passion into profit by starting your own card-making business!

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure 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 DP-203T00 Data Engineering on Microsoft Azure 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.

Stress can affect your ability to think clearly and rationally and to perform well. This session aims to help you better deal with stress by sharing key insights and strategies to reduce stress and optimize your work-life balance, particularly as we face uncertainties in the economy, the workplace and the environment.

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