1528 Courses in Cardiff delivered Live Online

Duration 1 Days 6 CPD hours This course is intended for Individuals planning to deploy applications and create application environments on Google Cloud. Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services. Describe ways in which customers have used Google Cloud. Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine. Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore. Make basic use of BigQuery, Google's managed data warehouse for analytics. This course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies. Introducing Google Cloud Platform Explain the advantages of Google Cloud Platform. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Platform Identify the purpose of projects on Google Cloud Platform. Understand the purpose of and use cases for Identity and Access Management. List the methods of interacting with Google Cloud Platform. Lab: Getting Started with Google Cloud Platform. Google Compute Engine and Networking Identify the purpose of and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Lab: Deploying Applications Using Google Compute Engine. Google Cloud Platform Storage Options Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable. Learn how to choose between the various storage options on Google Cloud Platform. Lab: Integrating Applications with Google Cloud Storage. Google Container Engine Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Introduction to Hybrid and Multi-Cloud computing (Anthos). Lab: Deploying Applications Using Google Container Engine. Google App Engine and Google Cloud Datastore Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand the purpose of and use cases for Google Cloud Endpoints. Lab: Deploying Applications Using App Engine and Cloud Datastore. Deployment and Monitoring Understand the purpose of template-based creation and management of resources. Understand the purpose of integrated monitoring, alerting, and debugging. Lab: Getting Started with Stackdriver and Deployment Manager. Big Data and Machine Learning Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Lab: Getting Started with BigQuery. Summary and Review Summary and Review. What's Next?.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 3 Days 18 CPD hours This course is intended for This course is intended for system and network administrators responsible for installation, setup, configuration, and administration of the BIG-IP LTM system. This course gives network professionals a functional understanding of BIG-IP Local Traffic Manager, introducing students to both commonly used and advanced BIG-IP LTM features and functionality. Incorporating lecture, extensive hands-on labs, and classroom discussion, the course helps students build the well-rounded skill set needed to manage BIG-IP LTM systems as part of a flexible and high performance application delivery network. Module 1: Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Archiving the BIG-IP Configuration Leveraging F5 Support Resources and Tools Module 2: Reviewing Local Traffic Configuration Reviewing Nodes, Pools, and Virtual Servers Reviewing Address Translation Reviewing Routing Assumptions Reviewing Application Health Monitoring Reviewing Traffic Behavior Modification with Profiles Reviewing the TMOS Shell (TMSH) Reviewing Managing BIG-IP Configuration Data Module 3: Load Balancing Traffic with LTM Exploring Load Balancing Options Using Priority Group Activation and Fallback Host Comparing Member and Node Load Balancing Module 4: Modifying Traffic Behavior with Persistence Reviewing Persistence Introducing SSL Persistence Introducing SIP Persistence Introducing Universal Persistence Introducing Destination Address Affinity Persistence Using Match Across Options for Persistence Module 5: Monitoring Application Health Differentiating Monitor Types Customizing the HTTP Monitor Monitoring an Alias Address and Port Monitoring a Path vs. Monitoring a Device Managing Multiple Monitors Using Application Check Monitors Using Manual Resume and Advanced Monitor Timer Settings Module 6: Processing Traffic with Virtual Servers Understanding the Need for Other Virtual Server Types Forwarding Traffic with a Virtual Server Understanding Virtual Server Order of Precedence Path Load Balancing Module 7: Processing Traffic with SNATs Overview of SNATs Using SNAT Pools SNATs as Listeners SNAT Specificity VIP Bounceback Additional SNAT Options Network Packet Processing Module 8: Modifying Traffic Behavior with Profiles Profiles Overview TCP Express Optimization TCP Profiles Overview HTTP Profile Options OneConnect Offloading HTTP Compression to BIG-IP HTTP Caching Stream Profiles F5 Acceleration Technologies Module 9: Selected Topics VLAN, VLAN Tagging, and Trunking Restricting Network Access SNMP Features Segmenting Network Traffic with Route Domains Module 10: Deploying Application Services with iApps Simplifying Application Deployment with iApps Using iApps Templates Deploying an Application Service Leveraging the iApps Ecosystem on DevCentral Module 11: Customizing Application Delivery with iRules and Local Traffic Policies Getting Started with iRules Configuring and Managing Policy Rules Module 12: Securing Application Delivery with LTM Understanding Today?s Threat Landscape Integrating LTM Into Your Security Strategy Defending Your Environment Against SYN Flood Attacks Defending Your Environment Against Other Volumetric Attacks Addressing Application Vulnerabilities with iRules and Local Traffic Policies Detecting and Mitigating Other Common HTTP Threats Module 13: Final Lab Project About the Final Lab Project

Getting Started Effective management ensures quality patient care and organisational success in the rapidly evolving healthcare industry. The MSc Healthcare Management programme equips healthcare professionals with the necessary skills and knowledge for leadership and management roles. The MSc Healthcare Management programme offers a comprehensive learning experience that provides students with the knowledge, skills and emotional tools needed to meet the challenges of managing healthcare organisations. The MSc Healthcare Management programme provides healthcare professionals with a unique opportunity to excel in their careers and contribute to the ever-evolving field of healthcare management. This programme empowers students to become effective leaders by combining theoretical knowledge with practical application, driving positive change in healthcare organisations. Moreover, the programme enhances career prospects, offers specialisation in healthcare management, fosters networking opportunities and promotes practical application through real-world case studies. It prepares graduates for senior leadership roles, empowering them to make a meaningful impact in the healthcare industry. The programme comprises two phases; the first is the Qualifi Level 7 Diploma in Health and Social Care, awarded by Qualifi and delivered by the School of Business and Technology London. The second phase is the MSc Healthcare Management Top Up, awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this MSc Healthcare Management programme. About Awarding Body Anglia Ruskin University began in 1858 as the Cambridge School of Art founded by William Beaumont. It was then merged with the Cambridge shire College of Arts and Technology and the Essex Institute of Higher Education and was renamed Anglia Polytechnic. It was then given university status in 1992 and renamed Anglia Ruskin University in 2005. The university has campuses in the UK (Cambridge, Chelmsford, London and Peterborough), as well as they are partnered with institutions around the world including Berlin, Budapest, Trinidad, Singapore and Kuala Lumpur. Assessment Assignments and Project No examinations Entry Requirements Applicants should normally have a good first degree or equivalent and be working in or have recently worked within the arena of Management and Leadership in healthcare. If English is not your first language, you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 (Academic level) or equivalent English Language qualification, as recognised by Anglia Ruskin University. Progression Enrolling in the MSc Healthcare Management programme will give you comprehensive knowledge of health service management and leadership approaches. This programme will equip you with the skills to identify and develop corporate marketing strategies for health services and implement transformational change programmes. As a graduate, you will have various career paths available, including opportunities in public services or global non-governmental organisations. Furthermore, graduating from the programme doesn't have to mark the end of your educational journey. You may pursue a postgraduate research programme, such as the Professional Doctorate in Health and Social Care, to further advance your expertise in the field. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure Phase-1 - Qualifi Level 7 Diploma in Health and Social Care Programme Structure The QUALIFI Level 7 Diploma in Health and Social Care is made up of 120 credits, which equates to hours 1200 hours of TQT. All units will be internally assessed through written assignments. Unit HSC701: Health and Social Care Leadership Unit code: A/650/4192 Credit : 20 TQT : 200 This unit aims to offer learners a comprehensive grasp of leadership theories and styles, enabling them to critically assess the leadership role and choose and implement suitable leadership approaches. Unit HSC702: Managing People in Health and Social Care Unit code: D/650/4193 Credit : 20 TQT : 200 The objective of this unit is to empower the learner with the capability to comprehend the procedures associated with recruiting, managing, and nurturing individuals within the health and social care workplace. Unit HSC703: Managing Finance in the Health and Social Care Sector Unit code: F/650/4194 Credit : 20 TQT : 200 This unit addresses the essential knowledge and comprehension required for making financially informed decisions within health and social care organisations. Studying this unit while considering the local, national, and international legal frameworks and adhering to best practices related to finance is crucial. Unit HSC703: Managing Finance in the Health and Social Care Sector Unit code: F/650/4194 Credit : 20 TQT : 200 This unit addresses the essential knowledge and comprehension required for making financially informed decisions within health and social care organisations. Studying this unit while considering the local, national, and international legal frameworks and adhering to best practices related to finance is crucial. Unit HSC704: Health and Social Care Strategies and Policies Unit code: H/650/4195 Credit : 20 TQT : 200 This unit aims to delve into global health and social care policies and examine current political, social, and cultural factors influencing healthcare policy and strategy in both national and international contexts. Unit HSC705: Leading Change in Health and Social Care Unit code: J/650/4196 Credit : 20 TQT : 200 This unit aims to enhance learners' comprehension of people management within organisations, encompassing aspects such as recruitment, HR processes, performance management, rewards and recognition, and training and development. Unit HSC706: Research Methods for Healthcare Professionals Unit code: K/650/4197 Credit : 20 TQT : 200 This unit aims to cultivate learners' research skills, encompassing diverse research approaches, formulating research proposals, strategically planning research endeavours, data analysis and interpretation, and understanding the link between research and evidence-based practice.   Phase-2 - MSc Healthcare Management Top Up Programme Structure Postgraduate Research Design Major Project (Dissertation) Delivery Methods The programme comprises two phases; the first is the Qualifi Level 7 Diploma in Health and Social Care, awarded by Qualifi and delivered by the School of Business and Technology London. The School of Business and Technology London offers flexible learning methods, including online and blended learning, allowing students to choose the mode of study that suits their preferences and schedules. The program is self-paced and facilitated through an advanced Learning Management System. Students can easily interact with tutors through the SBTL Support Desk Portal System for course material discussions, guidance, assistance, and assessment feedback on assignments. School of Business and Technology London provides exceptional support and infrastructure for online and blended learning. Students benefit from dedicated tutors who guide and support them throughout their learning journey, ensuring a high level of assistance. The second phase is the MSc Healthcare Management Top Up, awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this MSc Healthcare Management programme. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Duration 4 Days 24 CPD hours This course is intended for Data center architects Cloud infrastructure architects Network engineers System administrators Storage administrators Engineers requiring advanced configuration skills Cisco integrators and partners Overview After taking this course, you should understand: Data center challenges and cloud solutions Cisco UCS Director architecture Cisco UCS Director setup and configuration Cisco ACI Multitenancy in FlexPod Cisco ACI infrastructure Resource groups and service offerings Tenant onboarding Self-service provisioning Application containers The Designing and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 course shows you how to use Cisco UCS© Director software to manage physical and virtual infrastructure elements, including Cisco Application Centric Infrastructure (Cisco ACI?). You will learn to use orchestration and automation functions of Cisco UCS Director to effectively manage infrastructure and automate IT processes. The course offers hands-on experience installing and configuring Cisco UCS Director software. You will also learn about features such as bare-metal provisioning; compute, network, and storage management; orchestration, including Application Policy Infrastructure Controller (APIC); Cisco UCS Director custom tasks, and more. Introducing Cisco UCS Director Understanding Data Center Challenges Understanding the Benefits of Cisco UCS Director Understanding Cisco UCS Director Components Explaining Cisco UCS Director Architecture Explaining Bare-Metal Agent Introducing Cisco Application Centric Infrastructure Understanding Cisco ACI Overview Understanding Cisco ACI Terms and Constructs Understanding Cisco UCS Director Infrastructure Management Understanding Cisco UCS Director Deployment Introducing Role-Based Access Control Explaining User Groups/Roles/Users Introducing Orchestration Understanding Orchestration Introducing Cisco UCS Director ACI Explaining Cisco UCS Director with ACI So Understanding Multitenancy with Cisco UCS Director ACI Explaining Multitenancy with Cisco UCS Director ACI Understanding Resource Groups and Service Offerings Introducing Advanced Tenant Onboarding Onboarding a Tenant Tagging Resources Introducing Application Containers Understanding Application Profiles Understanding Service Container Catalog Understanding Deployment Through Self-Service Portal Understanding Self-Service Provisioning Portal Understanding Service Request Understanding Virtual Data Center Understanding Policies Understanding vDC and Groups Use Case Additional course details: Nexus Humans CiscoDesigning and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 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 CiscoDesigning and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 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 intended for those with a basic understanding of Microsoft© Windows© and who need to know how to use Outlook as an email client to manage their email communications, calendar events, contact information, and other communication tasks. Overview In this course, you will use Outlook to compose and handle your email communications and also manage your calendar, contacts, and tasks.You will:Navigate Outlook to read and respond to email.Use the Address Book and format and spell check new messages.Attach files and insert illustrations to messages.Customize read and response options.Use flags, categories, and folders to organize messages.Create and work with Contacts.Create appointments and schedule meetings in Calendar.Create and work with Tasks and Notes. In this course, you will use Outlook to send, receive, and manage email messages, manage your contact information, schedule appointments and meetings, create tasks and notes for yourself, and customize the Outlook interface to suit your working style.This course covers the Microsoft Office Specialist Program exam objectives to help you prepare for the Outlook Associate (Office 365 and Office 2019): Exam MO-400 certification exam. Getting Started with Outlook Topic A: Navigate the Outlook Interface Topic B: Work with Messages Topic C: Access Outlook Help Topic D: Outlook on the Web Formatting Messages Topic A: Add Message Recipients Topic B: Check Spelling and Grammar Topic C: Format Message Content Working with Attachments and Illustrations Topic A: Attach Files and Items Topic B: Add Illustrations to Messages Topic C: Manage Automatic Message Content Customizing Message Options Topic A: Customize Reading Options Topic B: Track Messages Topic C: Recall and Resend Messages Organizing Messages Topic A: Mark Messages Topic B: Organize Messages Using Folders Managing Contacts Topic A: Create and Edit Contacts Topic B: View and Print Contacts Working with the Calendar Topic A: View the Calendar Topic B: Create Appointments Topic C: Schedule Meetings Topic D: Print the Calendar Working with Tasks and Notes Topic A: Create Tasks Topic B: Create Notes Additional course details: Nexus Humans Microsoft Outlook for Office 365 (Desktop or Online) - Part 1 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 Microsoft Outlook for Office 365 (Desktop or Online) - Part 1 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 class is intended for the following: Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists. Overview This course teaches students the following skills:Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.Employ BigQuery and Cloud Datalab to carry out interactive data analysis.Train and use a neural network using TensorFlow.Employ ML APIs.Choose between different data processing products on the Google Cloud Platform. This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. Introducing Google Cloud Platform Google Platform Fundamentals Overview. Google Cloud Platform Big Data Products. Compute and Storage Fundamentals CPUs on demand (Compute Engine). A global filesystem (Cloud Storage). CloudShell. Lab: Set up a Ingest-Transform-Publish data processing pipeline. Data Analytics on the Cloud Stepping-stones to the cloud. Cloud SQL: your SQL database on the cloud. Lab: Importing data into CloudSQL and running queries. Spark on Dataproc. Lab: Machine Learning Recommendations with Spark on Dataproc. Scaling Data Analysis Fast random access. Datalab. BigQuery. Lab: Build machine learning dataset. Machine Learning Machine Learning with TensorFlow. Lab: Carry out ML with TensorFlow Pre-built models for common needs. Lab: Employ ML APIs. Data Processing Architectures Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow. Reference architecture for real-time and batch data processing. Summary Why GCP? Where to go from here Additional Resources Additional course details: Nexus Humans Google Cloud Platform Big Data and Machine Learning Fundamentals 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 Google Cloud Platform Big Data and Machine Learning Fundamentals 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 5 Days 30 CPD hours This course is intended for This course is intended for: Solutions architects and cloud architects seeking their AWS Certified Solutions Architect - Associate certification Customers and APN Partners who have 6 to 12 months of experience with AWS including a strong architecture background and experience Individuals who prefer an instructor led course for training and exam readiness Individuals who have not taken the Architecting on AWS course in the last ~6 months Overview In this course, you will learn to: Make architectural decisions based on AWS architectural principles and best practices Leverage AWS services to make your infrastructure scalable, reliable, and highly available Leverage AWS Managed Services to enable greater flexibility and resiliency in an infrastructure Make an AWS-based infrastructure more efficient to increase performance and reduce costs Use the Well-Architected Framework to improve architectures with AWS solutions Navigate the logistics of the examination process, exam structure, and question types Identify how questions relate to AWS architectural concepts Interpret the concepts being tested by an exam question This five-day, instructor-led course helps busy architects get away from the day-to-day to get focused and ready for their AWS Certified Solutions Architect ? Associate exam. Attendees learn the fundamentals of building IT infrastructure on AWS, so they can build scalable and resilient solutions in the cloud, by spending the first 3 days on the Architecting on AWS course. They?ll start getting in the exam readiness mindset with bonus end of module quizzes. Next, they?ll learn strategies to answer exam questions and avoid common mistakes with the Exam Readiness: AWS Certified Solutions Architect ? Associate half-day course. The course broadens attendees? knowledge of AWS services with deep dives into Amazon Redshift, Amazon Kinesis, and AWS Key Management Service, and then concludes with two quizzes and an instructor guided review of the AWS Certified Solutions Architect ? Associate practice exam. Architecting on AWS Module 1: Introduction Module 2: The Simplest Architectures Hands-On Lab 1: Hosting a Static Website Module 3: Adding a Compute Layer Module 4: Adding a Database Layer Hands-On Lab 2: Deploying a Web Application on AWS Module 5: Networking in AWS Part 1 Hands-On Lab 3: Creating a Virtual Private Cloud Architecting on AWS (continued) Module 6: Networking in AWS Part 2 Module 7: AWS Identity and Access Management (IAM) Module 8: Elasticity, High Availability, and Monitoring Hands-On Lab 4: Creating a Highly Available Environment Module 9: Automation Hands-On Lab 5: Automating Infrastructure Deployment with AWS CloudFormation Module 10: Caching Architecting on AWS (continued) Module 11: Building Decoupled Architectures Module 12: Microservices and Serverless Architectures Hands-On Lab 6: Implementing a Serverless Architecture with AWS Managed Services Module 13: RTP/RPO and Backup Recovery Setup Module 14: Optimizations and Review Exam Readiness: AWS Certified Solutions Architect -- Associate Module 0: The Exam Module 1: Design Resilient Architectures Module 2: Design Performant Architectures Module 3: Specify Secure Applications and Architectures Module 4: Design Cost-Optimized Architectures Module 5: Define Operationally Excellent Architectures Exam Readiness Additional deep dive of AWS services Quiz #1 Practice exam: AWS Certified Solutions Architect ? Associate Quiz #2 Wrap-up

Duration 4 Days 24 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring EX Series switches running Junos ELS. Overview After successfully completing this course, you should be able to: List the benefits of implementing switched LANs. Describe transparent bridging concepts and operations. Describe terms and design considerations for switched LANs. List enterprise platforms that support Layer 2 switching. Configure interfaces for Layer 2 switching operations. Display and interpret the Ethernet switching table. Explain the concept of a VLAN. Describe access and trunk port modes. Configure and monitor VLANs. Describe voice VLAN and native VLAN concepts. Explain inter-VLAN routing operations. Configure and monitor inter-VLAN routing. Explain when a spanning tree is required. Describe STP and Rapid Spanning Tree Protocol (RSTP) operations. List some advantages of using RSTP over STP. Configure and monitor RSTP. Describe the bridge protocol data unit (BPDU), loop, and root protection features. Configure and monitor the BPDU, loop, and root protection features. List and describe various port security features. Configure and monitor port security features. Describe the storm control feature. Configure and monitor storm control. Describe firewall filter support for EX Series Ethernet Switches. Implement and monitor the effects of a firewall filter. List and describe some features that promote high availability. Configure and monitor high availability features. Describe the basic concepts and operational details of a virtual chassis. Implement a virtual chassis with multiple EX4300 switches. Explain the concepts of Ethernet Ring Protection Switching (ERPS). Configure and monitor ERPS. Explain the concepts of Multiple Spanning Tree Protocol (MSTP). Configure and monitor MSTP. This 4-day program includes an overview of protocol independent routing features, load balancing and filter-based forwarding, OSPF, BGP, IP tunneling, switching concepts and operations, virtual LANs (VLANs), the Spanning Tree Protocol (STP), and more. Chapter 1: Course Introduction Course Introduction Chapter 2: Layer 2 Switching Ethernet Bridging Basics Terminology and Design Considerations Overview of Enterprise Switching Platforms Enabling and Monitoring Layer 2 Switching Operations Lab 1: Implementing Layer 2 Switching Chapter 3: Virtual Networks Overview of VLANs Configuring and Monitoring VLANs Voice VLAN Native VLAN Routed VLAN Interfaces Lab 2: Implementing Virtual Networks Chapter 4: Routing Instances Routing Instances Overview Configuring and Monitoring Virtual Switches Chapter 5: Spanning Tree Spanning Tree Protocol Rapid Spanning Tree Protocol Configuring and Monitoring STP and RSTP Protection Features: BPDU Protection Protection Features: Loop Protection Protection Features: Root Protection Lab 3: Implementing Spanning Tree Chapter 6: Port Security MAC Limiting Persistent MAC Learning DHCP Snooping Dynamic ARP Inspection (DAI) IP Source Guard Lab 4: Implementing Port Security Chapter 7: Device Security and Firewall Filters Storm Control Firewall Filters Lab 5: Implementing Storm Control and Firewall Filters Chapter 8: Virtual Chassis Overview of Virtual Chassis Configuring and Monitoring a Virtual Chassis Lab 6: Implementing a Virtual Chassis System Chapter 9: High Availability Features Overview of High Availability Networks Link Aggregation Groups Redundant Trunk Groups Graceful Routing Engine Switchover (GRES) Nonstop Active Routing (NSR) Nonstop Bridging (NSB) Lab 7: Implementing High Availability Features

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