Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.
Overview Knowledge of how to prepare and submit VAT Return can help you to stand out from the crowd of job seekers. Moreover, if you are running a business or thinking of running a business, the vat training course will help you to understand the issues relating to vat more clearly and help process VAT Return more accurately and efficiently. Our VAT Training courses are eligible CPD Training for accountants and attending this course can give you a more detailed understanding of how to do a VAT return correctly. What is VAT Return? Almost every business has to submit a VAT Return. VAT Return contains Output VAT and Input VAT information to be submitted to Taxman (HMRC). Through the VAT return, HMRC knows exactly how much the business owes to HMRC. Moreover, HMRC can pay back any VAT amount overpaid which only can be determined through an accurate VAT return. How to do VAT Return Firstly, businesses need to register with HMRC before they can process a VAT Return. Businesses must fulfil the criteria to become VAT registered and to get a VAT Registration no. Once the business is registered they can then regularly submit the VAT return using specified VAT forms. There are many VAT Schemes available in general. There are some specialised VAT schemes available only for specific industries. Understanding VAT Principles Analysis of different VAT Scheme Preparing VAT in Spreadsheet Reconciliation of VAT Completing a VAT return Import and Export VAT analysis Calculating VAT for a business with mixed zero-rated and standard-rated sales, using Spreadsheet Introduction of TOMS (Tour Operator Margin Scheme) Submission Steps of VAT Return to HMRC Introduction to Making Tax Digital(VAT) scheme
VAT Accounting, Preparation and Submission Training Course Overview: Knowledge of how to prepare and submit VAT Return can help you to stand out from the crowd of job seekers. Moreover, if you are running a business or thinking of running a business, the vat training course will help you to understand the issues relating to vat more clearly and help process VAT Return more accurately and efficiently. Our VAT Training courses are eligible CPD Training for accountants and attending this course can give you a more detailed understanding of how to do a VAT return correctly. What is VAT Return? Almost every business has to submit a VAT Return. VAT Return contains Output VAT and Input VAT information to be submitted to Taxman (HMRC). Through the VAT return, HMRC knows exactly how much the business owes to HMRC. Moreover, HMRC can pay back any VAT amount overpaid which only can be determined through an accurate VAT return. How to do VAT Return Firstly, businesses need to register with HMRC before they can process a VAT Return. Businesses must fulfil the criteria to become VAT registered and to get a VAT Registration no. Once the business is registered they can then regularly submit the VAT return using specified VAT forms. There are many VAT Schemes available in general. There are some specialised VAT schemes available only for specific industries. Certificate of Attendance Understanding VAT Principles Analysis of different VAT Scheme Preparing VAT in Spreadsheet Reconciliation of VAT Completing a VAT return Import and Export VAT analysis Calculating VAT for a business with mixed zero-rated and standard-rated sales, using Spreadsheet Introduction of TOMS (Tour Operator Margin Scheme) Submission Steps of VAT Return to HMRC Introduction to Making Tax Digital(VAT) scheme
Our OISC Level 1 training course is designed as a two-day, entry-level course, offering participants an introduction into Immigration Advice. In this course, we aim to cover the syllabus at level one, as according to OISC standards. View the OISC Level 1 course dates below, delivered on Microsoft Teams. Course Overview: Our OISC Level 1 Training Course, your gateway to comprehensive knowledge in Immigration, EU, and Asylum law. Our course is specifically designed to equip participants with the fundamental understanding needed to excel in the level one assessments, with a strong focus on fulfilling the core requirements set by the OISC (Office of the Immigration Services Commissioner). Designed as a comprehensive two-day entry-level course, it serves as an excellent introduction to Immigration Advice. Our aim is to cover the level one syllabus prescribed by the OISC, ensuring that you meet the standards set by the regulatory body. By enrolling in our OISC Level 1 training course, you’ll gain the essential knowledge, skills, and confidence required to navigate the complex world of immigration law effectively. Whether you’re looking to launch a career in immigration advice or seeking to enhance your existing expertise, this course will lay a solid foundation for your professional journey. Don’t forget to check out ourExam Technique Training (Level 1) which is designed to help prepare learners for their accreditation exam. Are you interested in setting up your own OISC law firm? Join our Setting Up An OISC Firm course, where you’ll learn the requirements, processes and key information about running a firm as well as receive handy resources and materials. Course joining links, materials and instructions are sent out 24hours before the course starts. What is included in the OISC Level 1 Syllabus? Based on the latest syllabus, published by the Office of the Immigration Services Commissioner, the OISC Level 1 Training Course covers the following: Analysis of the structures, terminology, ethical practices and frameworks of immigration law Asylum and protection law European Economic Area (EEA) free movement law British Naturalisation and British Citizenship registration Business immigration law Appeals process and structures of the Asylum and Immigration Tribunal Join over 92% of satisfied customers who found their training with IAS useful and beneficial. You will also be provided with training materials to keep after completing the course. How is the OISC Level 1 exam structured? The OISC Level 1 exam is structured into two parts: The first part comprises 20 multiple-choice questions. You have 1 hour and 15 minutes to complete this section of your OISC exam. There is only one correct answer for each question. The second part presents different scenario-based questions to be answered within 1 hour and 15 minutes. You should provide answers which are legible and written clearly in plain English. Detailed instructions on how to complete each section of your OISC Level 1 exam will be provided during the course, to ensure that each candidate is adequately prepared to pass the test.
Duration 5 Days 30 CPD hours This course is intended for This course is intended for IT Professionals who are already experienced in general Windows Server, Windows client, Azure, and Microsoft 365 administration, and who want to learn more about using Windows PowerShell for administration. No prior experience with any version of PowerShell or any scripting language is assumed. This course is also suitable for IT Professionals already experienced in server administration, including Microsoft Exchange Server, Microsoft SharePoint Server, and Microsoft SQL Server. This course provides students with the fundamental knowledge and skills to use PowerShell for administering and automating administration of Windows servers. This course provides students the skills to identify and build the command they require to perform a specific task. In addition, students learn how to build scripts to accomplish advanced tasks such as automating repetitive tasks and generating reports. This course provides prerequisite skills supporting a broad range of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. In keeping with that goal, this course will not focus on any one of those products, although Windows Server, which is the common platform for all of those products, will serve as the example for the techniques this course teaches. Prerequisites Before attending this course, students must have: -Experience with Windows networking technologies and implementation. - Experience with Windows Server administration, maintenance, and troubleshooting. 1 - Review Windows PowerShell Learn about Windows PowerShell Get familiar with Windows PowerShell applications Identify factors to install and use Windows PowerShell Configure the Windows PowerShell console Configure the Windows PowerShell Integrated Scripting Environment (ISE) Use Visual Studio Code with PowerShell 2 - Understand the command syntax in Windows PowerShell Discover the structure of PowerShell cmdlets Discover the parameters for using PowerShell cmdlets Review the tab completion feature in PowerShell Display the About files content in PowerShell 3 - Find commands and Get-Help in Windows PowerShell Define modules in PowerShell Find cmdlets in PowerShell Use command aliases in PowerShell Use Show-Command and Get-Help in PowerShell Interpret the help file contents and update the local help content in PowerShell 4 - Manage Active Directory Domain Services using PowerShell cmdlets Manage user accounts in PowerShell Manage groups and group memberships in PowerShell Manage computer accounts in PowerShell Manage organizational units and Active Directory objects in PowerShell 5 - Manage network service settings for Windows devices using PowerShell cmdlets Manage IP addresses in PowerShell Manage IP routing in PowerShell Manage DNS clients in PowerShell Manage Windows Firewall settings in PowerShell 6 - Manage Windows Server settings using PowerShell cmdlets Automate management tasks using the Group Policy management cmdlets Manage server roles and services using PowerShell cmdlets Manage Hyper-V Virtual Machines using PowerShell cmdlets Manage Internet Information Services using PowerShell cmdlets 7 - Manage settings for a local Windows machine using PowerShell cmdlets Manage Windows 10 using PowerShell Manage permissions with PowerShell 8 - Understand the Windows PowerShell pipeline Review Windows PowerShell pipeline and its output Discover object members in PowerShell Control the formatting of pipeline output 9 - Select, sort, and measure objects using the pipeline Sort and group objects by property in the pipeline Measure objects in the pipeline Select a set of objects in the pipeline Select object properties in the pipeline Create and format calculated properties in the pipeline 10 - Filter objects out of the pipeline Learn about the comparison operators in PowerShell Review basic filter syntax in the pipeline Review advanced filter syntax in the pipeline Optimize the filter performance in the pipeline 11 - Enumerate objects in the pipeline Learn about enumerations in the pipeline Review basic syntax to enumerate objects in the pipeline Review advanced syntax to enumerate objects in the pipeline 12 - Send and pass data as output from the pipeline Write pipeline data to a file Convert pipeline objects to other forms of data representation in PowerShell Control additional output options in PowerShell 13 - Pass pipeline objects Pipeline parameter binding Identify ByValue parameters Pass data by using ByValue Pass data by using ByPropertyName Identify ByPropertyName parameters Use manual parameters to override the pipeline Use parenthetical commands Expand property values 14 - Connect with data stores using PowerShell providers Define Windows PowerShell providers Review the built-in providers in PowerShell Access provider help in PowerShell 15 - Use PowerShell drives in PowerShell Explain PowerShell drives in PowerShell Use PowerShell drive cmdlets in PowerShell Manage the file system in PowerShell Manage the registry in PowerShell Work with certificates in PowerShell Work with other PowerShell drives in PowerShell 16 - Review CIM and WMI Review architecture of CIM and WMI Review repositories in CIM and WMI Locate online class documentation by using CIM and WMI cmdlets 17 - Query configuration information by using CIM and WMI List local repository namespaces and classes by using CIM and WMI Query instances by using commands and WMI Query Language Connect to remote computers by using CIM and WMI cmdlets Query repository classes from remote computers by using CIMSession objects 18 - Query and manipulate repository objects by using CIM and WMI methods Discover methods of repository objects by using CIM and WMI Locate class methods and documentation by using CIM and WMI Invoke methods of repository objects by using CIM and WMI 19 - Manage variables in Windows PowerShell scripts Define variables in Windows PowerShell scripts Create variable names in Windows PowerShell scripts Assign values and types to variables in Windows PowerShell scripts Identify the methods and properties of variables in Windows PowerShell scripts Use string variables and methods in Windows PowerShell scripts Use date variables and methods in Windows PowerShell scripts 20 - Work with arrays and hash tables in Windows PowerShell scripts Define an array in Windows PowerShell scripts Work with array lists in Windows PowerShell scripts Define hash tables in Windows PowerShell Scripts Work with hash tables in Windows PowerShell scripts 21 - Create and run scripts by using Windows PowerShell Review Windows PowerShell scripts Modify scripts in the PowerShell Gallery Create scripts using Windows PowerShell Review the PowerShellGet module in Windows PowerShell Run scripts and set the execution policy in Windows PowerShell Review Windows PowerShell and AppLocker Sign the scripts digitally in Windows PowerShell 22 - Work with scripting constructs in Windows PowerShell Review and use the ForEach loop in Windows PowerShell scripts Review and use the If construct in Windows PowerShell scripts Review and use the Switch construct in Windows PowerShell scripts Review the For construct in Windows PowerShell scripts Review other loop constructs in Windows PowerShell scripts Review Break and Continue in Windows PowerShell scripts 23 - Import data in different formats for use in scripts by using Windows PowerShell cmdlets Use the Get-Content command in Windows PowerShell scripts Use the Import-Csv cmdlet in Windows PowerShell scripts Use the Import-Clixml cmdlet in Windows PowerShell scripts Use the ConvertFrom-Json cmdlet in Windows PowerShell scripts 24 - Use methods to accept user inputs in Windows PowerShell scripts Identify values that might change in Windows PowerShell scripts Use the Read-Host cmdlet in Windows PowerShell scripts Use the Get-Credential cmdlet in Windows PowerShell scripts Use the Out-GridView cmdlet in Windows PowerShell scripts Pass parameters to a Windows PowerShell script 25 - Troubleshoot scripts and handle errors in Windows PowerShell Interpret error messages generated for Windows PowerShell commands Add output to Windows PowerShell scripts Use breakpoints in Windows PowerShell scripts Interpret error actions for Windows PowerShell commands 26 - Use functions and modules in Windows PowerShell scripts Review functions in Windows PowerShell scripts Use variable scope in Windows PowerShell scripts Create modules in Windows PowerShell scripts Use the dot sourcing feature in Windows PowerShell 27 - Manage single and multiple computers by using Windows PowerShell remoting Review the remoting feature of Windows PowerShell Compare remoting with remote connectivity Review the remoting security feature of Windows PowerShell Enable remoting by using Windows PowerShell Use one-to-one remoting by using Windows PowerShell Use one-to-many remoting by using Windows PowerShell Compare remoting output with local output 28 - Use advanced Windows PowerShell remoting techniques Review common remoting techniques of Windows PowerShell Send parameters to remote computers in Windows PowerShell Set access protection to variables, aliases, and functions by using the scope modifier Enable multi-hop remoting in Windows PowerShell 29 - Manage persistent connections to remote computers by using Windows PowerShell sessions Review persistent connections in Windows PowerShell Create and manage persistent PSSessions by using Windows PowerShell Disconnect PSSessions by using Windows PowerShell Review the feature of implicit remoting in Windows PowerShell 30 - Review Azure PowerShell module Review Azure PowerShell Review the benefits of the Azure PowerShell module Install the Azure PowerShell module Migrate Azure PowerShell from AzureRM to Azure Review Microsoft Azure Active Directory module for Windows PowerShell and Azure Active Directory PowerShell for Graph modules 31 - Review the features and tools for Azure Cloud Shell Review the characteristics of Azure Cloud Shell Review the features and tools of Azure Cloud Shell Configure and experiment with Azure Cloud Shell 32 - Manage Azure resources with Windows PowerShell Create a new Azure virtual machine by using Windows PowerShell commands Manage Azure virtual machines by using Windows PowerShell commands Manage Azure related storage by using Azure PowerShell Manage Azure subscriptions by using Azure PowerShell 33 - Manage users, groups, and licenses in Microsoft Entra ID by using Windows PowerShell Review benefits to manage Microsoft 365 services by using Windows PowerShell Connect to the Microsoft 365 tenant by using Windows PowerShell Manage users in Microsoft 365 by using Windows PowerShell Manage groups in Microsoft 365 by using Windows PowerShell Manage roles in Microsoft 365 by using Windows PowerShell Manage licenses in Microsoft 365 by using Windows PowerShell 34 - Manage Exchange Online by using Windows PowerShell Connect to Exchange Online by using Windows PowerShell Manage mailboxes in Exchange Online by using Windows PowerShell Manage resources in Exchange Online by using Windows PowerShell Manage admin roles in Exchange Online by using Windows PowerShell 35 - Manage SharePoint Online by using Windows PowerShell Install and connect to SharePoint Online Management Shell by using Windows PowerShell Manage SharePoint Online users and groups by using Windows PowerShell Manage SharePoint sites by using Windows PowerShell Manage SharePoint Online external user sharing by using Windows PowerShell 36 - Manage Microsoft Teams by using Windows PowerShell Review Microsoft Teams PowerShell module Install the Microsoft Teams PowerShell module Manage teams with Microsoft Teams PowerShell module 37 - Create and manage background jobs using Windows PowerShell Define the types of background jobs in Windows PowerShell Start remote jobs and CIM/WMI jobs in Windows PowerShell Monitor jobs in Windows PowerShell Retrieve results for running jobs in Windows PowerShell 38 - Create and manage scheduled jobs using Windows PowerShell Create and run Windows PowerShell scripts as scheduled tasks Define scheduled jobs in Windows PowerShell Create job option and job trigger objects in Windows PowerShell Create and register a scheduled job in Windows PowerShell Retrieve the results from a scheduled job in Windows PowerShell
Duration 3 Days 18 CPD hours This course is intended for This class is intended for the following participants: Cloud architects, administrators, and SysOps/DevOps personnel Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Overview This course teaches participants the following skills: Understand how software containers work Understand the architecture of Kubernetes Understand the architecture of Google Cloud Platform Understand how pod networking works in Kubernetes Engine Create and manage Kubernetes Engine clusters using the GCP Console and gcloud/ kubectl commands Launch, roll back and expose jobs in Kubernetes Manage access control using Kubernetes RBAC and Google Cloud IAM Managing pod security policies and network policies Using Secrets and ConfigMaps to isolate security credentials and configuration artifacts Understand GCP choices for managed storage services Monitor applications running in Kubernetes Engine This class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring. Introduction to Google Cloud Platform Use the Google Cloud Platform Console Use Cloud Shell Define cloud computing Identify GCPs compute services Understand regions and zones Understand the cloud resource hierarchy Administer your GCP resources Containers and Kubernetes in GCP Create a container using Cloud Build Store a container in Container Registry Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE) Understand how to choose among GCP compute platforms Kubernetes Architecture Understand the architecture of Kubernetes: pods, namespaces Understand the control-plane components of Kubernetes Create container images using Google Cloud Build Store container images in Google Container Registry Create a Kubernetes Engine cluster Kubernetes Operations Work with the kubectl command Inspect the cluster and Pods View a Pods console output Sign in to a Pod interactively Deployments, Jobs, and Scaling Create and use Deployments Create and run Jobs and CronJobs Scale clusters manually and automatically Configure Node and Pod affinity Get software into your cluster with Helm charts and Kubernetes Marketplace GKE Networking Create Services to expose applications that are running within Pods Use load balancers to expose Services to external clients Create Ingress resources for HTTP(S) load balancing Leverage container-native load balancing to improve Pod load balancing Define Kubernetes network policies to allow and block traffic to pods Persistent Data and Storage Use Secrets to isolate security credentials Use ConfigMaps to isolate configuration artifacts Push out and roll back updates to Secrets and ConfigMaps Configure Persistent Storage Volumes for Kubernetes Pods Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts Access Control and Security in Kubernetes and Kubernetes Engine Understand Kubernetes authentication and authorization Define Kubernetes RBAC roles and role bindings for accessing resources in namespaces Define Kubernetes RBAC cluster roles and cluster role bindings for accessing cluster-scoped resources Define Kubernetes pod security policies Understand the structure of GCP IAM Define IAM roles and policies for Kubernetes Engine cluster administration Logging and Monitoring Use Stackdriver to monitor and manage availability and performance Locate and inspect Kubernetes logs Create probes for wellness checks on live applications Using GCP Managed Storage Services from Kubernetes Applications Understand pros and cons for using a managed storage service versus self-managed containerized storage Enable applications running in GKE to access GCP storage services Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and Bigquery from within a Kubernetes application
Duration 2 Days 12 CPD hours This course is intended for This course is intended for system and network administrators or operators responsible for the installation, setup, configuration, and administration of the BIG-IQ system or management of BIG-IP devices and F5 products running on those devices. This course uses lectures and hands-on exercises to give participants real-time experience in configuring and using the BIG-IQ© product. Students are introduced to BIG-IQ, its interface, and its various functionality. We first look at administering and operating the BIG-IQ system itself, then detail how it is used to remotely manage BIG-IP devices running BIG-IP Local Traffic Manager (LTM). We then look configuring a BIG-IQ Data Collection Device (DCD) system and see how it is used for the remote storage and examination of BIG-IP log events and statistics. Module 1: BIG-IQ Overview BIG-IQ Centralized Management BIG-IQ Components BIG-IQ Core Functionality REST API BIG-IQ Data Collection Device (DCD) BIG-IP Cloud Edition (CE) Setting up the BIG-IQ System Module 2: Administering the BIG-IQ System Controlling Access to the BIG-IQ Creating, Authenticating, Configuring Users Backups Local Host Settings Configuring DNS, NTP, and SMTP Monitoring BIG-IQ, DCD, and BIG-IP Events with Alerts Monitoring BIG-IQ with iHealth Post Installation Issues; Licensing, Changing Management IP, Master Key, Restoring Backups Module 3: Managing BIG-IP LTM Devices BIG-IP LTM Device Discovery BIG-IP Device Backup Deploying to BIG-IP Devices Deployment and Deployment Logs Configuration Snapshots Managing BIG-IP Certificates Managing BIG-IP Licenses Monitoring BIG-IP Devices with iHealth Management of QKView Reports from Managed BIG-IP Devices Module 4: Setting Up the BIG-IQ Data Collection Device Custom Roles Types and Groups Setting up User Accounts with custom roles and privileges Managing BIG-IP DSC Discovery and management of BIG-IP Device Clusters (DSC) with BIG-IQ Administering BIG-IQ High Availability Configuration and management of BIG-IQ systems in a High Availability pair
Learn how to design and customize a perfect fitting sweater using DK or 4ply/fingering weight yarn. From layout and shape to color placement and professional finishing, this 12-week course will guide you through every step with personalized assistance from expert crochet tutor, Merrian. You'll also be part of a small community of crochet students, all making the sweater together over the 12 weeks.
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For new users and the curious. Hello, For new users and the curious. IMPORTANT: Firstly, once you are signed up, send us your requests on what you would like to see within the demonstration and learn on the course. We will then cater for your needs and answer them during the session. This is designed to be an introduction into how to start a room by room survey using the Heat Engineer app, then sending this survey to the online dashboard. We will then go through the different steps to complete this heat loss report. Optional pages will also be worked through and shown. Examples of how to select the flow temperature and the heat source (heat pumps and boilers) will be presented once the heat loss result is completed.