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 3 Days 18 CPD hours This course is intended for This course is intended for: System administrators and operators who are operating in the AWS Cloud Informational technology workers who want to increase the system operations knowledge. Overview In this course, you will learn to: Recognize the AWS services that support the different phases of Operational Excellence, a WellArchitected Framework pillar. Manage access to AWS resources using AWS Accounts and Organizations and AWS Identity and Access Management (IAM). Maintain an inventory of in-use AWS resources using AWS services such as AWS Systems Manager, AWS CloudTrail, and AWS Config. Develop a resource deployment strategy utilizing metadata tags, Amazon Machine Images, and Control tower to deploy and maintain an AWS cloud environment. Automate resource deployment using AWS services such as AWS CloudFormation and AWS Service Catalog. Use AWS services to manage AWS resources through SysOps lifecycle processes such as deployments and patches. Configure a highly available cloud environment that leverages AWS services such as Amazon Route 53 and Elastic Load Balancing to route traffic for optimal latency and performance. Configure AWS Auto Scaling and Amazon Elastic Compute Cloud auto scaling to scale your cloud environment based on demand. Use Amazon CloudWatch and associated features such as alarms, dashboards, and widgets to monitor your cloud environment. Manage permissions and track activity in your cloud environment using AWS services such as AWS CloudTrail and AWS Config. Deploy your resources to an Amazon Virtual Private Cloud (Amazon VPC), establish necessary connectivity to your Amazon VPC, and protect your resources from disruptions of service. State the purpose, benefits, and appropriate use cases for mountable storage in your AWS cloud environment. Explain the operational characteristics of object storage in the AWS cloud, including Amazon Simple Storage Service (Amazon S3) and Amazon S3 Glacier. Build a comprehensive costing model to help gather, optimize, and predict your cloud costs using services such as AWS Cost Explorer and the AWS Cost & Usage Report. This course teaches systems operators and anyone performing system operations functions how to install, configure, automate, monitor, secure, maintain and troubleshoot the services, networks, and systems on AWS necessary to support business applications. The course also covers specific AWS features, tools, andbest practices related to these functions. Module 1: Introduction to System Operations on AWS Systems operations AWS Well-Architected Framework AWS Well-Architected Tool Module 2a: Access Management Access management Resources, accounts, and AWS Organizations Module 2b: System Discovery Methods to interact with AWS services Introduction to monitoring services Tools for automating resource discovery Inventory with AWS Systems Manager and AWS Config Troubleshooting scenario Hands-On Lab: Auditing AWS Resources with AWS Systems Manager and AWS Config Module 3: Deploying and Updating Resources Systems operations in deployments Tagging strategies Deployment using Amazon Machine Images (AMIs) Deployment using AWS Control Tower Troubleshooting scenario Module 4: Automating Resource Deployment Deployment using AWS CloudFormation Deployment using AWS Service Catalog Troubleshooting scenario Hands-On Lab: Infrastructure as Code Module 5: Manage Resources AWS Systems Manager Troubleshooting scenario Hands-On Lab: Operations as Code Module 6a: Configure Highly Available Systems Distributing traffic with Elastic Load Balancing Amazon Route 53 Module 6b: Automate Scaling Scaling with AWS Auto Scaling Scaling with Spot Instances Managing licenses with AWS License Manager Troubleshooting scenario Module 7: Monitor and Maintaining System Health Monitoring and maintaining healthy workloads Monitoring distributed applications Monitoring AWS infrastructure Monitoring your AWS account Troubleshooting scenario Hands-On Lab: Monitoring Applications and Infrastructure Module 8: Data Security and System Auditing Maintain a strong identity and access foundation Implement detection mechanisms Automate incident remediation Troubleshooting scenario Hands-On Lab: Securing the Environment Module 9: Operate Secure and Resilient Networks Building a secure Amazon Virtual Private Cloud (Amazon VPC) Networking beyond the VPC Troubleshooting scenario Module 10a : Mountable Storage Configuring Amazon Elastic Block Storage (Amazon EBS) Sizing Amazon EBS volumes for performance Using Amazon EBS snapshots Using Amazon Data Lifecycle Manager to manage your AWS resources Creating backup and data recovery plans Configuring shared file system storage Module 10b: Object Storage Deploying Amazon Simple Storage Service (Amazon S3) with Access Logs, Cross-Region Replication, and S3 Intelligent-Tiering Hands-On Lab: Automating with AWS Backup for Archiving and Recovery Module 11: Cost Reporting, Alerts, and Optimization Gain AWS expenditure awareness Use control mechanisms for cost management Optimize your AWS spend and usage Hands-On Lab: Capstone lab for SysOps Additional course details: Nexus Humans Systems Operations on AWS 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 Systems Operations on AWS 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.
Duration 1 Days 6 CPD hours This course is intended for This course is designed for existing Microsoft SharePoint site users who will create and manage SharePoint team or communication sites in SharePoint Online or SharePoint 2019. Overview In this course, you will create a SharePoint team site and a communication site, perform basic content management tasks on SharePoint sites, and configure workflows with Forms and Flow. You will: Create and configure new SharePoint sites. Create and configure document libraries. Create and configure lists. Assign permissions and access rights. Create and configure a communication site. Implement workflows with Forms and Flow. This course will empower you to use Microsoft© SharePoint© online to facilitate collaboration and allow you to use familiar applications and web-based tools to create, access, store, and track documents and data in a central location. Enable and configure SharePoint?s many distinct features and discover the many content structures that can be selected, added, and configured. Learn how to create, configure, and manage SharePoint sites so that your team or organization can share information and collaborate effectively.SharePoint content structures and configuration options are complex. As a site owner, it is critical that you understand what features, options, and content structures are available in SharePoint online, and how to properly configure them. With SharePoint sites, features, and content structures properly implemented, you will be able to securely share files, collaborate on documents, and access the information you need to work with your colleagues more effectively. Creating and Configuring a New Site Topic A: Create a Site in SharePoint Topic B: Configure Site Look and Layout Creating and Configuring Document Libraries Topic A: Create Document Libraries Topic B: Configure File Versioning and Checkout Topic C: Configure Content Approval Creating and Configuring Lists Topic A: Add List Apps to a Site Topic B: Create Custom Lists Topic C: Create Calculated and Validated Columns Assigning Permissions and Access Rights Topic A: Secure Sites with Permissions Topic B: Secure Apps, Documents, and Files Creating and Configuring a Communication Site Topic A: Create a Communication Site Topic B: Configure a Communication Site Implementing Workflows with Forms and Flow Topic A: Capture Data with Forms Topic B: Store Form Data in SharePoint with Flow Topic C: Automate Business Processes with Forms, Flow, and SharePoint
Duration 2 Days 12 CPD hours This course is intended for #NAME? Overview The learning objectives for CDA include a practical understanding of: Goals, history, terminology, and pipeline The importance, practices, and transformation of a DevOps collaborative culture Design practices, such as modular design and microservices Continuous Integration (Cl), such as version control, builds, and remediation Tenets and best practices of Continuous Testing (CT) Continuous Delivery and Deployment (CD): packaging, containers, and release Continuous Monitoring (CM): monitoring and analysis infrastructure, process, and apps Infrastructure and tools: frameworks, tools, and infrastructure as code Security Assurance: DevSecOps The opportunity to hear and share real-life scenarios This course is designed for participants who are engaged in the design, implementation, and management of DevOps deployment pipelines and toolchains that support Continuous Integration, Continuous Delivery, Continuous Testing and potentially Continuous Deployment. The course highlights underpinning processes, metrics, APls and cultural considerations with Continuous Delivery. Key benefits of Continuous Delivery will be covered including increased velocity to assist organizations to respond to market changes rapidly, thus being able to outmaneuver competition, reduce risk and lower costs while releasing higher quality solutions. Increased productivity and employee morale by having more activities performed by pipelines instead of humans so teams can focus on vision while pipelines do the execution.This course prepares you for the Continuous Delivery Ecosystem Foundation(CDEF) certification. Course Introduction Course goals Course agenda CDA Concepts Continuous delivery (CD) definition Architecting for continuous delivery Continuous delivery and DevOps Relationships between CD, Waterfall, Agile, ITIL, and DevOps Benefits of continuous delivery CDA Culture Importance of culture to the CD Architect What a CD Architect can do about culture How to maintain culture Assignment: DevOps culture and practices to create flow Design Practices for Continuous Delivery Why design is important to continuous delivery CD Architect?s role in design Key design principles CD best practices Microservices and containers Continuous Integration Continuous integration (CI) defined CD Architect?s role in CI Importance of CI Benefits of CI CI best practices Assignment: Optimizing CI workflows Continuous Testing Continuous testing (CT) defined Importance of CT Benefits of CT CD Architect?s role in CT Five tenets of CT CT best practices Assignment: Handling environment inconsistencies Continuous Delivery and Deployment Continuous delivery defined Continuous deployment defined Benefits of continuous delivery and deployment CD Architect?s role in continuous delivery and deployment Continuous delivery and deployment best practices Assignment: Distinguishing continuous delivery and deployment Continuous Monitoring Continuous monitoring defined Importance of continuous monitoring CD Architect?s role in continuous monitoring Continuous monitoring best practices Assignment: Monitoring build progress Infrastructure and Tools Importance of infrastructure and tools CD Architect?s role in infrastructure and tools Building a DevOps toolchain Infrastructure/tools best practices Assignment: identifying common infrastructure/tool components Security Assurance Importance of security assurance DevSecOps and Rugged DevOps defined CD Architect?s role in security Security best practices Assignment: Applying security practices Capstone exercise Identifying toolchain and workflow improvements Summary Additional Sources of Information Exam Preparations Exam requirements Sample exam review
Duration 0.5 Days 3 CPD hours This course is intended for This course is designed for business professionals in any functional role who need to participate in Zoom meetings and webinars, and who may also be called on to host Zoom events. Overview In this course, you will participate in and host Zoom meetings to collaborate with others. You will: Use Zoom as a meeting participant. Use Zoom to host meetings. Customize Zoom settings. Manage Zoom contacts. With people transitioning to working remotely, virtual meetings have become the norm and, as a result, the Zoom video conferencing tool is gaining attention and usage. If Zoom has become part of your professional or personal life, this course will help you be a more confident and productive Zoom user. In this course, you will participate in and host Zoom meetings, use Zoom productivity tools such as breakout rooms and contacts, and apply Zoom security and personalization. Using Zoom as a Meeting Participant Topic A: Join a Zoom Meeting Topic B: Participate in a Zoom Meeting Topic C: Collaborate in a Meeting Using Zoom to Host Meetings Topic A: Schedule a Meeting Topic B: Host a Meeting Topic C: Use Breakout Rooms Topic D: Compare Meetings and Webinars Customizing Zoom Topic A: Customize Settings in the Zoom Web Portal Topic B: Customize Zoom Desktop Client Settings Managing Zoom Contacts Topic A: Add Zoom Contacts Topic B: Chat with Zoom Contacts
Supercharge your marketing department with the game-changing strategies that can unleash hidden growth opportunities and eradicate inefficiencies.This is NOT your average marketing webinar. This is your chance to take your marketing from good to legendary in 2024!
EQ is a pattern of how people's biases in their thinking leads them to think one choice or thing is better than another, as well as their clarity in differentiating within those biases to exercise clear and sound judgement. Where your thinking and responses lie within your biases spectrum, and your ability in adjusting to the situation you find yourself in, will determine responses equating to poor or strong Emotional Intelligence (EI). This course will enhance and promote the skill set necessary for any working leader or manager, allowing our in-depth emotional intelligence knowledge to be applied into your working environment. From an employer's perspective, this award can be a significant long-term return on investment by further developing your leaders and managers. What Does This Course Offer? Our program offers an EQ-SWOT™ assessment and EI Model in detail, and through activity and discussion we explore how applying and possibly adjusting, you may offer an improved Emotional Intelligence. Our learning experiences are successful because the outcomes are quickly embedded and demonstrate an immediate visible impact on the day-to-day working environment. Our engaging learning inspires employees to want to personally add value to the companies they work for. We also offer our Paradigm EQ-SWOT™ online assessment and report as a frame of reference within the program. This assessment should be completed before attending the program, and will be expanded upon during the program delivery. Course Content The Emotional Intelligence for Today’s Leadership and Management course covers the following topics: What makes EI so important within the workplace Self-Awareness and your EQ Profile The EQ unpacked Unconscious Bias & EI How to develop your EI quotient Accreditation Activity Our accredited tutors deliver training that encourages delegates to confidently and practically apply all they have learnt as soon as they get back into the business. To achieve this award, delegates need to prepare and deliver a 3 minute presentation* on the highlights of their learning and immediate application avenues when back in their working environment. *Participants will be given 30 minutes during the program to prepare for their 3 min presentation at the end of the program. Scheduled Course Dates Unfortunately this course is not currently scheduled as an open course as it is primarily run as an in-house programme. For more information, please contact us. In-House Courses This is our own management training course which has been developed and refined over the many years we have been providing it to delegates from organisations in virtually every industry. This means that the course syllabus is extremely flexible and can be tailored to your specific requirements. If you would like to discuss how we can tailor this management training course for you and/or run it at your premises, please contact us.
Compassion-focussed leadership is a transformative move for driving both individual and organisational performance. Long-term success comes from creating a workplace where people actually want to stay and thrive. For all leaders and managers of all levels to attend — Learn an actionable workplace wellbeing action plan that generates a real culture change to workplace wellbeing
Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts
This very practical one-day IACCM-approved programme enables participants to manage the process of commercial contracting and contract management effectively and efficiently to ensure value for money, improved service, and appropriate relationships. It covers a wide range of contract types in terms of risk and value. The programme empowers participants with the tools and techniques needed to collaborate with all key stakeholders. By the end of the programme participants will be able to: Understand the total process of managing contracts Exploit opportunities to extract even more added value Develop appropriate relationships with contractors Understand and use a range of contracting strategies and options Measure and improve contract performance Understand the impact of legislation on contract performance 1 Welcome Introductions Aims and objectives Plan for the day 2 Contract management An overview of the contracting process, mapping the 'territory' 3 Contract managers Skills Knowledge Attributes Responsibilities 4 Critical success factors Defining successful outcomes Effective stakeholder engagement Creating a shared vision of the outcomes 5 Placing contracts How to develop an effective specification and scope of work documents How to develop a robust contracting strategy Appropriate types of contract 6 Customers and stakeholders Customer and stakeholder analysis Managing expectations and the 'shared vision' concept to ensure customer co-operation, satisfaction, and delight 7 Working with suppliers Creating and developing commercial relationships Types of relationship How to manage difficult relationships Contractor motivational issues How to use incentives 8 Negotiation and related skills Introduction to key negotiation skills Persuading and influencing skills to work with stakeholders to improve outcomes for all 9 Dealing with change Claims and variations How to challenge contractor claims and requests for variations by making use of contractual terms Specifications to prevent false claims 10 Performance improvement How to measure and improve contractor performance Developing KPI systems Using contractual terms and conditions and basic legal principles 11 Contract close The importance of effective contract close processes 12 Close Review of key learning points Personal action planning