1701 Computing courses delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for Senior system administrators who wish to learn more about troubleshooting. Have earned a Red Hat Certified System Administrator (RHCSA) or have similar experience. It is recommend that students have earned a Red Hat Certified Engineer (RHCE) or have similar experience. Overview As a result of attending this course, students should be able to leverage the software development life-cycle process to plan, create, test, and provision host systems within an organization. Students should be able to demonstrate the following skills: - Installation of Red Hat Satellite 6 - Software life-cycle management of software used to provision and maintain configured hosts within a controlled production environment This course enriches your skills by providing the tools and techniques that you need to successfully diagnose, and fix, a variety of potential issues. You will work through hands-on problems in various subsystems to diagnose and fix common issues. You will learn develop the skills to apply the scientific method to a structured form of troubleshooting. You will then apply this approach in troubleshooting various types of problems, including boot issues, hardware issues, storage issues, RPM issues, network issues, third-party application issues, security issues, and kernel issues. At the end of the course, you will be empowered to complete various comprehensive review labs to test your skills. 1 - INTRODUCTION TO TROUBLESHOOTING Describe a generalized strategy for troubleshooting. 2 - TAKE PROACTIVE STEPS TO PREVENT SMALL ISSUES Prevent small issues from becoming large problems by employing proactive system administration techniques. 3 - TROUBLESHOOT BOOT ISSUES Identify and resolve issues that can affect a system's ability to boot. 4 - IDENTIFY HARDWARE ISSUES Identify hardware problems that can affect a system?s ability to operate. 5 - TROUBLESHOOT STORAGE ISSUES Identify and fix issues related to storage. 6 - TROUBLESHOOT RPM ISSUES Identify and fix problems in, and using, the package management subsystem. 7 - TROUBLESHOOT NETWORK ISSUES Identify and resolve network connectivity issues. 8 - TROUBLESHOOT APPLICATION ISSUES Debug application issues. 9 - DEAL WITH SECURITY ISSUES Identify and fix issues related to security subsystems. 10 - TROUBLESHOOT KERNEL ISSUES Identify kernel issues and assist Red Hat Support in resolving kernel issues. 11 - RED HAT ENTERPRISE LINUX DIAGNOSTICS AND TROUBLESHOOTING COMPREHENSIVE REVIEW Practice and demonstrate knowledge and skills learned in Red Hat Enterprise Linux Diagnostics and Troubleshooting.

Duration 4 Days 24 CPD hours This course is intended for #NAME? Overview At the completion of this course, students already familiar with the RHCT/RHCSA administration skills will have exposure to all competencies tested by the RHCSA and RHCE exams. If you are an experienced Linux© system administrator and hold a Red Hat Certified System Administrator (RHCSA©) credential or possess equivalent skills and want to broaden your ability to administer Linux systems at an enterprise level, this is the perfect course.The course will empower you to deploy and manage network servers running caching domain name service (DNS), MariaDB, Apache HTTPD, Postfix SMTP null clients, network file sharing with network file system (NFS) and server message block (SMB), iSCSI initiators and targets, advanced networking and firewall configurations, and to use bash shell scripting to help automate, configure, and troubleshoot your system. Through lectures and hands-on labs, you will be exposed to all competencies covered by the Red Hat Certified Engineer (RHCE) exam (EX300), supplementing what you have already learned in earning your RHCSA credential.This course is based on Red Hat© Enterprise Linux 7. Getting Started with the Classroom Environment Given a virtualized environment, begin to administrate multiple systems using prerequisite skills Enhance User Security Configure system to use Kerberos to verify credentials and grant privileges via sudo Bash Scripting and Tools Automate system administration tasks utilizing Bash scripts and text-based tools File Security with GnuPG Secure files with GnuPG. Software Management Use yum plugins to manage packages and understand the design of packages to build a simple package Network Monitoring Profile running services then capture and analyze network traffic Route Network Traffic Configure system to route traffic and customize network parameters with sysctl Secure Network Traffic Secure network traffic through SSH port forwarding and iptables filtering/network address translation (NAT) NTP Server Configuration Configure an NTP server Filesystems and Logs Manage local file system integrity, monitor system over time, and system logging Centralized and Secure Storage Access centralized storage (iSCSI) and encrypt filesystems SSL-encapsulated Web Services Understand SSL certificates and deploy an SSL encapsulated web service Web Server Additional Configuration Configure web server with virtual hosts, dynamic content, and authenticated directories Basic SMTP Configuration Configure an SMTP server for basic operation (null client, receiving mail, smarthost relay) Caching-Only DNS Server Understand DNS resource records and configure a caching-only name server File Sharing with NFS Configure file sharing between hosts with NFS File Sharing with CIFS Configure file and print sharing between hosts with CIFS File Sharing with FTP Configure file sharing with anonymous FTP Troubleshooting Boot Process Understand the boot process and recover unbootable systems with rescue mode

Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators and network administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the NSX Advanced Load Balancer architecture, components, and main functions Explain the key features and benefits of NSX Advanced Load Balancer Explain and configure local load-balancing constructs such as virtual services, pools, health monitors, and related components Recognize web application breaches and threats Recognize multiple attack vectors such as web scraping, Layer 7 Denial of Service, brute force, and code injections Explain the components of NSX Advanced Load Balancer WAF that build a security pipeline to protect a web application from being attacked Describe how to configure the NSX Advanced Load Balancer WAF components Describe an NSX Advanced Load Balancer WAF operational task such as setting up an application with WAF, tuning the WAF Policy, and working with logs and analytics Explain the NSX Advanced Load Balancer WAF best practices for on-boarding a web application; configuring WAF settings for effective application security Explain how to size the NSX Advanced Load Balancer WAF data plane Explain the WAF Application learning feature, configuration of Application learning, Virtual Patching concepts, common caveats, and troubleshooting while deploying in any environment Recognize NSX Advanced Load Balancer Cloud Services that include threat Intelligence services Describe the Threat Intelligence service provided by NSX Advanced Load Balancer WAF and how the NSX Advanced Load Balancer WAF Threat Intelligence service receives live security threat feed for multiple attack vectors from Cloud Services (formerly Avi Pulse) Describe the NSX Advanced Load Balancer DataScript capabilities for detecting and defending against advance and zero-day attacks. Discuss the relevant NSX Advanced Load Balancer WAF logs and perform basic troubleshooting of applications that are protected by NSX Advanced Load Balancer WAF Explain the NSX Advanced Load Balancer WAF capability to protect Personally Identifiable Information (PII) This three-day course provides comprehensive training to install, configure, and manage a VMware NSX Advanced Load Balancer Web Application Firewall (WAF) solution. This course covers key NSX Advanced Load Balancer WAF features and functionality offered in the NSX Advanced Load Balancer 22.1.3 release for web security and application attack protection. Features include security pipeline, application learning, policy tuning, false positive mitigation, virtual patching, threat intelligence, troubleshooting, logs, analytics, and solution monitoring. Hands-on labs provide access to an NSX Advanced Load Balancer environment to reinforce the skills and concepts presented in the course. Course Introduction Introduction and course logistics Course objectives Introduction to NSX Advanced Load Balancer Illustrate NSX Advanced Load Balancer Explain NSX Advanced Load Balancer architecture and components Describe control plane clustering and high availability Describe data plane high availability mode Understand the common terminologies used with NSX Advanced Load Balancer Explain the NSX Advanced Load Balancer service elements Explain virtual service components and how to configure a virtual service Explain application profiles and network profiles Explain the pool configuration options and how to configure a pool Explain the available load-balancing algorithms Explain and configure SSL profiles and certificates Explain cloud connectors and cloud connector integration modes Explain multiple health monitor types Understand client logs Introduction to Application Security Understand web application security breaches and the implication of breaches Explain common terminologies related to Web Application Security Understand the different teams involved to secure applications Attacking Web Applications Understand the various web application security testing methodologies Understand the OWASP Top 10 vulnerabilities Understand the tools to generate a web application attack Describe a few types of web application attacks Types of Transport Understand different web traffic transport modes Describe web traffic and API traffic NSX Advanced Load Balancer WAF Components Understand the core design principles of NSX Advanced Load Balancer WAF Describe the NSX Advanced Load Balancer WAF components that build the WAF security pipeline Understand the NSX Advanced Load Balancer WAF configuration objects NSX Advanced Load Balancer WAF Operations Examine how to set up an application with WAF Describe considerations for the WAF policy Work with WAF logs and analytics Describe WAF policy tuning Describe the options available to remediate false positive mitigation NSX Advanced Load Balancer WAF Best Practices Describe technical and application considerations for onboarding an application front ended by WAF Describe best practices to remediate false positive mitigation. Describe how to manage a response from a back-end application server and client upload to the application server Describe the consideration for setting the rigidity of a WAF signature rule set Describe the options available to identify client traffic NSX Advanced Load Balancer WAF Sizing Understand how to do WAF data plane sizing in Greenfield and Brownfield deployments NSX Advanced Load Balancer WAF Custom Rules Understand WAF custom rules Describe the need and recommendation for custom rules Describe ModSecurity rules Understand the ModSecurity rule structure and explain how to construct the rule Analyze a sample custom rule for the use-case scenario for in-depth understanding of a custom rule NSX Advanced Load Balancer WAF Application Learning Understand the significance of Application Learning Explain the Positive Security Model architecture Describe the WAF multifaceted Application Learning technique to build an application model for creating positive security rules Describe how to view the data that is learned by the Application learning module Describe the WAF Virtual Patching technique to construct a WAF policy from Dynamic Application Security Testing (DAST) scanner results Understand the conditions for sharing WAF Learning Data and PSM Group in WAF Policy. Malware Protection Through ICAP in NSX Advanced Load Balancer Understand Malicious File Upload Protection and ICAP workflow Describe ICAP configuration and log analytics NSX Advanced Load Balancer IP Reputation Understand IP Reputation concepts and their integration with NSX Advanced Load Balancer Describe IP Reputation configuration, log analytics, and troubleshooting DataScript for Application Security Describe DataScript events and reference Describe application security using DataScript Explain how to troubleshoot DataScript issues Rate Limiting and DOS Describe and configure the NSX Advanced Load Balancer rate limiter technique Describe protection from denial of service (DoS) attacks and distributed DoS (DDoS) attacks in NSX Advanced Load Balancer Explain the Service Engine general advice and guidance for DDOS Bot Management Understand Bots Describe the Bot Management mechanism in NSX Advanced Load Balancer Describe how to configure NSX Advanced Load Balancer Bot Management Managing Personally Identifiable Information in NSX Advanced Load Balancer Understand Personally Identifiable Information (PII) Understand the scope of managing PII in NSX Advanced Load Balancer Describe how to configure the hidden PII in NSX Advanced Load Balancer logs using profiles and WAF rules. Threat Intelligence Introduce the Threat Intelligence service Describe the Threat Intelligence live security threat feed for multiple attack vectors Describe how to configure Threat Intelligence in NSX Advanced Load Balancer Application Programming Interface Security Define Application Programming Interface (API) Security Understand API authentication and authorization using virtual service authentication mechanisms used for a virtual service such as LDAP, SAML, JSON Web Token, and OAUTH Understand API Rate Limiting in NSX Advanced Load Balancer Understand the NSX Advanced Load Balancer WAF Protection for API Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware NSX Advanced Load Balancer: Web Application Firewall Security [V22.x] 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 VMware NSX Advanced Load Balancer: Web Application Firewall Security [V22.x] 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 Penetration Testers Microsoft Administrator Security Administrators Active Directory Administrators Anyone looking to learn more about security Overview The person who carries this certification should be able to analyze an organization's existing systems then plan and create an incident handling system that will prevent, detect, and respond to cyber attacks The Certified Incident Handling Engineer course, C)IHE, is designed to help Incident Handlers, System Administrators, and Security Engineers understand how to plan, create and utilize their systems. Prevent, detect and respond to attacks through the use of hands-on labs in our exclusive Cyber Range. With this in-depth training, you will learn to develop start to finish processes for establishing your Incident Handling team, strategizing for each type of attack, recovering from attacks and much more. Course Outline Incident Handling Explained Incident Response Policy, Plan and Procedure Creation Incident Response Team Structure Incident Response Team Services Incident Response Recommendations Preparation Detection and Analysis Containment, Eradication and Recovery GRR Rapid Response Request Tracker for Incident Response Post Incident Activity Incident Handling Checklist Incident Handling Recommendations Coordination and Information Sharing

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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 advanced course is for anyone responsible for implementing and managing virtualization features on a System p server including: AIX technical support individuals System administrators Systems engineers System Architects Overview Upon successful completion of this course, students will be able to: Describe the effect of the IBM PowerVM virtualization features on performance and monitoring, such as: Simultaneous multithreading (SMT), shared processors, multiple shared processor pools (MSPP), shared dedicated capacity, Active Memory Sharing (AMS), Active Memory Expansion (AME), Live Partition Mobility (LPM), and other virtualization features Interpret the outputs of AIX performance monitoring and tuning tools used to view the impact of features such as SMT, shared processors, additional shared processor pool activations, and device virtualization. Perform a Live Partition Mobility between two Power Systems servers Configure and monitor Active Memory Expansion Configure the Suspend and Resume and Active Memory Sharing features available with the Virtual I/O Server Implement the deduplication feature of Active Memory Sharing Students will learn how to implement advanced IBM PowerVM features, such as Active Memory Sharing, Active Memory Expansion, shared dedicated processors, multiple shared processor pools, and Live Partition Mobility. Students will learn how to implement advanced IBM PowerVM features, such as Active Memory Sharing, Active Memory Expansion, shared dedicated processors, multiple shared processor pools, and Live Partition Mobility. Additional course details: Nexus Humans AN31 IBM Power Systems for AIX - Virtualization II - Advanced PowerVM and Performance 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 AN31 IBM Power Systems for AIX - Virtualization II - Advanced PowerVM and Performance 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 The primary audience for this course is as follows: System installers System integrators System administrators Network administrators Solutions designers Overview Upon completing this course, the learner will be able to meet these overall objectives: Describe the system architecture of Cisco WAN Automation Engine and Cisco WAE network abstraction Plan and deploy Cisco WAE Planning components, including Collector, WAE Design, and WAE Live Plan and deploy Cisco WAE Automation and explain the basics of Cisco WAE APIs Explain how to deploy changes to the network using Cisco WAE and XR Traffic Controller (XTC) Explain how to use the Cisco WAE Design application to solve problems and achieve business goals WAE200, Operating and Implementing Cisco WAN Automation Engine v3.0 is a 5-day course that gives you the basic knowledge necessary to plan, deploy, configure, and maintain the Cisco© WAN Automation Engine (WAE) solution. Extensive hands-on labs help you gain the necessary skills to install and maintain Cisco WAE systems.This course will help you:Learn to install Cisco WAN Automation EngineGain confidence with WAE configuration and basic troubleshootingPractice designing and managing bandwidth and traffic engineering WAE Solution and Architecture Overview Examining WAE Examining WAE Architecture and Design Examining WAE Applications and Use Cases WAE Solution Implementation Planning a WAE Deployment Deploying WAE Describing WAE Integration Options Network Model Configuration Describing the Collection Process Describing Network Interface Modules Creating Network Models Configuring WAE Modeling Daemon WAE Automation Bandwidth Applications Deploying Bandwidth on Demand Application Deploying Bandwidth Optimization Application WAE Design Fundamentals Getting Started with WAE Design Describing Demands and Traffic Tools Modeling Interior Gateway Protocol (IGP) and BGP Describing Failures and Simulation Analysis WAE Design Traffic Engineering and Optimization Engineering Traffic by Using Metrics Engineering Traffic by Using Resource Reservation Protocol with Traffic Engineering (RSVP-TE) Engineering Traffic by Using Segment Routing-Traffic Engineering (SR-TE) Engineering Traffic by Using Latency Constraints Modeling Quality of Service (QoS) Introduction to WAE API Introducing WAE Design Remote Procedure Call (RPC) API Introducing WAE Optimization and Prediction Module (OPM) API Introducing WAE Server Representational State Transfer Configuration Protocol (RESTCONF) and Network Configuration Protocol (NETCONF) APIs WAE Live Deployment Describing the Components of WAE Live Configuring WAE Live Explaining WAE Live Features Maintenance and Troubleshooting Maintaining WAE Troubleshooting WAE Additional course details: Nexus Humans Cisco Operating and Implementing Cisco WAN Automation Engine (WAE200) 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 Cisco Operating and Implementing Cisco WAN Automation Engine (WAE200) 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 3 Days 18 CPD hours This course is intended for This course is designed for: System installers System integrators System administrators Network administrators Solutions designers Overview After taking this course, you should be able to: Explain WAE basics, the purpose of WAE, and its capabilities Understand the Cisco WAE solution implementation Describe the network module configuration process Describe WAE Design software tools, demands creation, BGP modeling, and Failure and Simulation analysis Describe Cisco WAE Design traffic engineering and QoS modeling Explain how to use API with WAE Design and WAE Server Describe the function, components, and processes of Cisco WAE Live The Operating and Implementing Cisco WAN Automation Engine (SPWAE) v1.0 course teaches you, through a combination of lectures and labs, how to install the Cisco© WAN Automation Engine (WAE), builds your confidence with Cisco WAE configuration and basic troubleshooting, and enables you to practice designing and managing bandwidth and traffic engineering.Additionally, you?ll learn the basic knowledge necessary to plan, deploy, configure, and maintain the Cisco WAN Automation Engine solutions. Course Outline WAE Solution and Architecture Overview Implementing a Cisco WAE Solution Network Model Configuration WAE Design Fundamentals Cisco WAE Design Traffic Engineering and Optimization Introducing Cisco WAE API Cisco WAE Live Deployment Additional course details: Nexus Humans Cisco Operating and Implementing Cisco WAN Automation Engine v1.0 (SPWAE) 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 Cisco Operating and Implementing Cisco WAN Automation Engine v1.0 (SPWAE) 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 Typical candidates for this course are IT professionals who deploy Aruba WLAN with advanced features and individuals who need a basic understanding of AirWave. Overview Upon completion of this course, students will be able to:Explain the integration Mobility Masters and Mobility controllersDescribe redundancy giving the user seamless failoverSetup secure guest access using MultizoneExplain the uses and advantages of clusteringDescribe user mobility in the wireless spectrumIntegrate voice over WiFi and give QOSExplain how roles are assigned to users wireless or wiredLearn to setup remote access using RAPs or VIADescribe how to create a mesh clusterLearn the advantages given to AirGroup when leveraged on an Aruba networkIntegrating wire users into the security given to wireless usersLearn how to use AirWave to monitor the health of the networkLearn how to use AirWave to troubleshoot clientExplain AirWave?s Visual RF feature as well as alerts and triggers This course teaches the knowledge, skills and practical experience required to set up and configure advanced features on Aruba WLAN utilizing the AOS 8.X architecture and features. This course includes lectures and labs which provide the technical understanding and hands-on experience of configuring a redundant Mobility Master with two controllers and two APs. Participants will learn how install a redundant Aruba WLAN network with clustering while using many features like Multizone for guest access, voice optimization and tunneled node. This course includes the AirWave management system and troubleshooting commands. The SWDI course provides the underlying material required to prepare candidates for the Aruba Certified Mobility Professional (ACMP) V8 certification exam. IntroductionMobility Master RedundancyMobility Master and MC OperationsMultizoneIntroduction to MC clustersMobilityRole DerivationRemote AccessVoice OptimizationMeshAdministrationOperationsAirGroupTunneled NodeAirWave IntroductionAirWave Network HealthAirWave Client and Device TroubleshootingAirWave VisualRF, Reports and Alerts

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