Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Overview Create sophisticated SSIS packages for extracting, transforming, and loading data Use containers to efficiently control repetitive tasks and transactions Configure packages to dynamically adapt to environment changes Use Data Quality Services to cleanse data Successfully troubleshoot packages Create and Manage the SSIS Catalog Deploy, configure, and schedule packages Secure the SSIS Catalog SQL Server Integration Services is the Community Courseware version of 20767CC Implementing a SQL Data Warehouse. This five-day instructor-led course is intended for IT professionals who need to learn how to use SSIS to build, deploy, maintain, and secure Integration Services projects and packages, and to use SSIS to extract, transform, and load data to and from SQL Server. This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation. Prerequisites Working knowledge of T-SQL and SQL Server Agent jobs is helpful, but not required. Basic knowledge of the Microsoft Windows operating system and its core functionality. Working knowledge of relational databases. Some experience with database design. 1 - SSIS Overview Import/Export Wizard Exporting Data with the Wizard Common Import Concerns Quality Checking Imported/Exported Data 2 - Working with Solutions and Projects Working with SQL Server Data Tools Understanding Solutions and Projects Working with the Visual Studio Interface 3 - Basic Control Flow Working with Tasks Understanding Precedence Constraints Annotating Packages Grouping Tasks Package and Task Properties Connection Managers Favorite Tasks 4 - Common Tasks Analysis Services Processing Data Profiling Task Execute Package Task Execute Process Task Expression Task File System Task FTP Task Hadoop Task Script Task Introduction Send Mail Task Web Service Task XML Task 5 - Data Flow Sources and Destinations The Data Flow Task The Data Flow SSIS Toolbox Working with Data Sources SSIS Data Sources Working with Data Destinations SSIS Data Destinations 6 - Data Flow Transformations Transformations Configuring Transformations 7 - Making Packages Dynamic Features for Making Packages Dynamic Package Parameters Project Parameters Variables SQL Parameters Expressions in Tasks Expressions in Connection Managers After Deployment How It All Fits Together 8 - Containers Sequence Containers For Loop Containers Foreach Loop Containers 9 - Troubleshooting and Package Reliability Understanding MaximumErrorCount Breakpoints Redirecting Error Rows Logging Event Handlers Using Checkpoints Transactions 10 - Deploying to the SSIS Catalog The SSIS Catalog Deploying Projects Working with Environments Executing Packages in SSMS Executing Packages from the Command Line Deployment Model Differences 11 - Installing and Administering SSIS Installing SSIS Upgrading SSIS Managing the SSIS Catalog Viewing Built-in SSIS Reports Managing SSIS Logging and Operation Histories Automating Package Execution 12 - Securing the SSIS Catalog Principals Securables Grantable Permissions Granting Permissions Configuring Proxy Accounts Additional course details: Nexus Humans 55321 SQL Server Integration Services 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 55321 SQL Server Integration Services 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.
Introduction to International Trade This module provides a foundational understanding of the development and significance of international trade, focusing on the UK's trade strategy and its global role. Participants will explore key topics such as trade definitions, the World Trade Organization (WTO), the evolution of customs, and major post-WW2 trade developments. Additionally, the module covers the UK's entry into and exit from the EU, and the current UK Digital Strategy for International Trade. **Agenda Highlights**: - Definitions and importance of international trade - Overview of the WTO - Customs fundamentals - Post-WW2 global trade growth - Impact of EU membership and Brexit - UK Digital Strategy for international trade growth
Duration 4 Days 24 CPD hours This course is intended for This course is for Azure Administrators. The Azure Administrator implements, manages, and monitors identity, governance, storage, compute, and virtual networks in a cloud environment. The Azure Administrator will provision, size, monitor, and adjust resources as appropriate. This course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution. Prerequisites Successful Azure Administrators start this role with experience in virtualization, networking, identity, and storage. Understanding of on-premises virtualization technologies, including: VMs, virtual networking, and virtual hard disks. Understanding of network configurations, including TCP/IP, Domain Name System (DNS), virtual private networks (VPNs), firewalls, and encryption technologies. Understanding of Active Directory concepts, including users, groups, and role-based access control. Understanding of resilience and disaster recovery, including backup and restore operations. 1 - Configure Microsoft Entra ID Describe Microsoft Entra ID benefits and features Describe Microsoft Entra concepts Compare Active Directory Domain Services to Microsoft Entra ID Select Microsoft Entra editions Implement Microsoft Entra join Implement Microsoft Entra self-service password reset 2 - Configure user and group accounts Create user accounts Manage user accounts Create bulk user accounts Create group accounts Create administrative units 3 - Configure subscriptions Identify Azure regions Implement Azure subscriptions Obtain an Azure subscription Identify Azure subscription usage Implement Microsoft Cost Management Apply resource tagging Apply cost savings 4 - Configure Azure Policy Create management groups Implement Azure policies Create Azure policies Create policy definitions Create an initiative definition Scope the initiative definition Determine compliance 5 - Configure role-based access control Implement role-based access control Create a role definition Create a role assignment Compare Azure roles to Microsoft Entra roles Apply role-based access control Review fundamental Azure RBAC roles 6 - Configure Azure resources with tools Use the Azure portal Use Azure Cloud Shell Use Azure PowerShell Use Azure CLI 7 - Use Azure Resource Manager Review Azure Resource Manager benefits Review Azure resource terminology Create resource groups Create Azure Resource Manager locks Reorganize Azure resources Remove resources and resource groups Determine resource limits 8 - Configure resources with Azure Resource Manager templates Review Azure Resource Manager template advantages Explore the Azure Resource Manager template schema Explore the Azure Resource Manager template parameters Consider Bicep templates Review QuickStart templates 9 - Configure virtual networks Plan virtual networks Create subnets Create virtual networks Plan IP addressing Create public IP addressing Associate public IP addresses Allocate or assign private IP addresses 10 - Configure network security groups Implement network security groups Determine network security group rules Determine network security group effective rules Create network security group rules Implement application security groups 11 - Configure Azure DNS Identify domains and custom domains Verify custom domain names Create Azure DNS zones Delegate DNS domains Add DNS record sets Plan for Azure Private DNS zones Review Azure Private DNS zone scenarios 12 - Configure Azure Virtual Network peering Determine Azure Virtual Network peering uses Determine gateway transit and connectivity Create virtual network peering Extend peering with user-defined routes and service chaining 13 - Configure network routing and endpoints Review system routes Identify user-defined routes Determine service endpoint uses Determine service endpoint services Identify private link uses 14 - Configure Azure Load Balancer Determine Azure Load Balancer uses Implement a public load balancer Implement an internal load balancer Determine load balancer SKUs Create back-end pools Create health probes Create load balancer rules 15 - Configure Azure Application Gateway Implement Azure Application Gateway Determine Azure Application Gateway routing Configure Azure Application Gateway components 16 - Configure storage accounts Implement Azure Storage Explore Azure Storage services Determine storage account types Determine replication strategies Access storage Secure storage endpoints 17 - Configure Azure Blob Storage Implement Azure Blob Storage Create blob containers Assign blob access tiers Add blob lifecycle management rules Determine blob object replication Upload blobs Determine Blob Storage pricing 18 - Configure Azure Storage security Review Azure Storage security strategies Create shared access signatures Identify URI and SAS parameters Determine Azure Storage encryption Create customer-managed keys Apply Azure Storage security best practices 19 - Configure Azure Files and Azure File Sync Compare storage for file shares and blob data Manage Azure file shares Create file share snapshots Implement Azure File Sync Identify Azure File Sync components Deploy Azure File Sync 20 - Configure Azure Storage with tools Use Azure Storage Explorer Use the Azure Import/Export service Use the WAImportExport tool Use the AzCopy tool 21 - Configure virtual machines Review cloud services responsibilities Plan virtual machines Determine virtual machine sizing Determine virtual machine storage Create virtual machines in the Azure portal Connect to virtual machines 22 - Configure virtual machine availability Plan for maintenance and downtime Create availability sets Review update domains and fault domains Review availability zones Compare vertical and horizontal scaling Implement Azure Virtual Machine Scale Sets Create Virtual Machine Scale Sets Implement autoscale Configure autoscale 23 - Configure Azure App Service plans Implement Azure App Service plans Determine Azure App Service plan pricing Scale up and scale out Azure App Service Configure Azure App Service autoscale 24 - Configure Azure App Service Implement Azure App Service Create an app with App Service Explore continuous integration and deployment Create deployment slots Add deployment slots Secure your App Service app Create custom domain names Back up and restore your App Service app Use Azure Application Insights 25 - Configure Azure Container Instances Compare containers to virtual machines Review Azure Container Instances Implement container groups Review the Docker platform 26 - Configure file and folder backups Describe Azure Backup benefits Implement Backup Center for Azure Backup Configure Azure Recovery Services vault backup options Use the Microsoft Azure Recovery Services (MARS) agent Configure on-premises file and folder backups 27 - Configure virtual machine backups Explore options to protect virtual machine data Create virtual machine snapshots in Azure Backup Set up Azure Recovery Services vault backup options Back up your virtual machines Restore your virtual machines Implement System Center DPM and Azure Backup Server Compare the MARS agent and Azure Backup Server Implement soft delete for your virtual machines Implement Azure Site Recovery 28 - Configure Azure Monitor Describe Azure Monitor key capabilities Describe Azure Monitor components Define metrics and logs Identify monitoring data and tiers Describe activity log events Query the activity log 29 - Configure Azure alerts Describe Azure Monitor alerts Manage Azure Monitor alerts Create alert rules Create action groups 30 - Configure Log Analytics Determine Log Analytics uses Create a Log Analytics workspace Create Kusto (KQL) queries Structure Log Analytics queries 31 - Configure Network Watcher Describe Azure Network Watcher features Review IP flow verify diagnostics Review next hop diagnostics Visualize the network topology
Duration 5 Days 30 CPD hours This course is intended for This course is designed for the following roles: Network designer Network engineer Systems engineer Data center engineer Consulting systems engineer Technical solutions architect Cisco integrators/partners Overview After taking this course, you should be able to: Design Cisco ACI access policies according to best practices Use fabric system settings Design Cisco ACI logical components Design the migration of IP and logical components from an existing data center to Cisco ACI Design Cisco ACI physical structure Migrate existing data center connectivity and physical components from an existing environment to Cisco ACI Design Cisco ACI external Layer 3 connectivity and Cisco ACI Layer 4-7 service insertion, including PBR-based service redirection Design the L4-L7 service insertion in single-pod Cisco ACI, by evaluating the available options and choosing the optimal connectivity flow Design L4-L7 service insertion in Cisco ACI Multi-Pod Design a transit routing solution Design service sharing using vzAny Build a migration plan for Layer 2 and Layer 3 connectivity, including L3Outs and contracts Migrate vSphere compute environment to Cisco ACI Design QoS for interpod and intersite networks Design the DHCP Relay feature, SPAN feature, Port Tracking feature, Import/Export policies, and Snapshot/Rollback feature The Designing Cisco Application Centric Infrastructure (DCACID) v1.0 is a 5-day product training course that provides you with the knowledge and skills to understand and utilize a programmable fabric design built on Cisco Nexus© 9000 Series Switches in Application-Centric Infrastructure (ACI) mode. This course is a deep dive into Cisco ACI design, covering design considerations and best practices, so you can build solid ACI solutions and avoid common mistakes that can impact the network infrastructure. With a focus on various design use cases, this course provides information that can help you practice design decisions, validate your designs, and apply best practices while using Cisco ACI in your multiservice or cloud data centers. Course Outline Designing Access Policies Using Fabric System Settings Designing Logical Components Use Case: Migration of IP and Logical Structure Designing Physical Structure Use Case: Migration of Connectivity and Physical Components Designing L3Outs and Service Insertion Use Case: Service Insertion in Single Pod Use Case: Service Insertion in Cisco ACI Multi-Pod Use Case: L3Out Transit Routing Use Case: Shared Services vzAny and Endpoint Security Groups Use Case: Migration of Layer 2 and Layer 3 Connectivity Use Case: VMware Data Center Migration to Cisco ACI Use Case: IPN and ISN QoS Use Case: DHCP Relay and SPAN Additional course details: Nexus Humans Cisco Designing Cisco Application Centric Infrastructure v1.0 (DCACID) 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 Designing Cisco Application Centric Infrastructure v1.0 (DCACID) 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.
Who is this course for? Landmark Training Course With Vectorworks. Dive into terrain modeling, planting, irrigation, and site analysis guided by certified tutors. Master these tools for precise landscape designs and effective documentation. Check our Website Enrollment : 1-on-1 Landmark Training. Tailor your schedule. Mon to Sat between 9 am and 7 pm Call 02077202581 to book your slot. Duration: 16 hours. "Split these hours over multiple days as needed for your ideal schedule." Approach: In-person or live online. Landmark Training Course with Vectorworks: Basic to Intermediate Level Course Duration: 16 Hours Embark on a transformative journey with our Landmark Training Course tailored for landscape architects and designers. Over 16 intensive hours, dive deep into Vectorworks Landmark, mastering fundamental and intermediate techniques crucial for comprehensive 2D and 3D landscape design. Craft intricate site analyses, plans, irrigation systems, and elevate your designs with mesmerizing 3D visualizations. Explore custom plant symbols, detailed planting plans, and learn the art of efficient collaboration and customization. Course Highlights: I. Introduction to Vectorworks Landmark (1 hour) Explore Vectorworks Landmark for landscape design Master interface, tool usage, and project management II. Site Analysis and Site Plans (3 hours) Craft detailed site analyses and hardscape designs Work with contours, elevations, and terrain models III. Planting Plans (5 hours) Utilize the plant database for region-specific plant selection Create personalized plant symbols and comprehensive planting plans IV. Irrigation Design (2 hours) Design and edit efficient irrigation systems and zones Integrate irrigation components into site plans V. 3D Visualization (3 hours) Create captivating 3D models with realistic textures and materials Enhance designs with advanced lighting and special effects VI. Customization (1 hour) Tailor the interface for efficient landscape design Create custom object styles and resource libraries VII. Collaboration and Sharing (1 hour) Seamlessly import/export data from other platforms Share designs effectively with colleagues and collaborators VIII. Conclusion and Next Steps (1 hour) Review course content comprehensively Receive guidance on further learning resources Engage in a Q&A session and provide valuable feedback Enhance your landscape design expertise and unleash your creativity. Enroll now in our Vectorworks Landmark Basic to Intermediate Training and transform your designs. Download Vectorworks Landmark By the end of the Vectorworks Landmark Training Course, participants will: Understand the key features and functionalities of Vectorworks Landmark for landscape design. Demonstrate proficiency in using essential tools for site analysis, site plans, and hardscape design. Create detailed planting plans, selecting appropriate plants, and understanding their compatibility and growth patterns. Design efficient and effective irrigation systems, including generating irrigation reports. Create 3D visualizations of landscape designs, applying textures, materials, lighting, and special effects. Customize the interface and create personalized object styles and resources. Collaborate and share landscape design drawings with other software users. Have the foundation to pursue further learning and exploration in landscape design using Vectorworks Landmark. Mastering Foundations Begin your project by organizing your files and importing survey data. Learn to sketch existing buildings using Building Shell tools and model neighboring structures with Massing Model. Explore different methods for laying out survey points and marking existing features with precision. Objectives: Review File Organization Techniques Import Survey Data (DWG Import) Create Building Structures with Building Shell Tools Utilize Triangulation and Arc Tool for Precision Master Various Tape Measurement Techniques Elevating Your Design Enhance your survey with detailed ground, existing trees, and fences. Conduct shadow analysis to optimize planting locations. Dive into the Vectorworks Plant tool, your key design companion. Objectives: Develop Detailed Ground Surfaces Incorporate Existing Trees and Fences Design with Railing Fence Tool Conduct Shadow Analysis using Heliodon Tool Utilize Plant Tool Modes for Plant Placement Access Existing Plant Libraries and Customize Plants in 2D/3D Crafting Landscapes Create vibrant plant mixes using Landscape Area tool and apply them across your site models. Design intricate hardscapes, aligning them effortlessly even in complex paving scenarios. Learn to use components for detailed reporting, cut and fill calculations, and precise detailing. Explore custom object creation and site furniture placement. Objectives: Design Landscape Areas and Define Custom Plant Mixes Create Hardscapes and Define Custom Paving Constructions Generate Reports and Tags for Landscape Areas and Hardscapes Access and Manage Objects in Resource Manager Craft Custom Objects and Site Furniture Polished Presentation Present your designs professionally using Sheet layers and viewports. Create Section viewports to cut through your model and Detail viewports to focus on specific areas. Enhance visual appeal with mood boards and annotations, ensuring a refined, detailed presentation. Objectives: Craft Sheet Layers for Presentation Create Plan, Elevation, and Perspective Viewports Generate Section and Detail Viewports Annotate Viewports for Clear Communication Incorporate Images and Plant Reports for Comprehensive Presentations Master Vectorworks Landmark: Gain expertise in essential and advanced 2D/3D landscape design tools for precision and efficiency. Boost Efficiency: Learn time-saving techniques and workflows tailored to Vectorworks Landmark, enhancing productivity. Versatile Landscape Skills: Develop proficiency in site analysis, planting plans, hardscapes, and irrigation systems for diverse projects. Industry-Ready Expertise: Acquire sought-after skills in landscape architecture, paving the way for career growth. Flexible Learning: Access recorded lessons for convenient review and receive lifetime email support for ongoing guidance.
Duration 3 Days 18 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring devices running the Junos OS. Overview Describe the value of MPLS VPNs. Describe the differences between provider-provisioned VPNs and customer-provisioned VPNs. Describe the differences between Layer 2 VPNs and Layer 3 VPNs. List the provider-provisioned MPLS VPN features supported by the JUNOS software. Describe the roles of a CE device, PE router, and P router in a BGP Layer 3 VPN. Describe the format of the BGP routing information, including VPN-IPv4 addresses and route distinguishers. Describe the propagation of VPN routing information within an AS. List the BGP design constraints to enable Layer 3 VPNs within a provider network. Explain the operation of the Layer 3 VPN data plane within a provider network. Create a routing instance, assign interfaces to a routing instance, create routes in a routing instance, and import/export routes from a routing instance using route distinguishers/route targets. Describe the purpose of BGP extended communities, configure extended BGP extended communities, and use BGP extended communities. List the steps necessary for proper operation of a PE-CE dynamic routing protocol. List the troubleshooting and monitoring techniques for routing instances. Explain the difference between the bgp.l3vpn table and the inet.0 table of a routing instance. Monitor the operation of a CE-PE dynamic routing protocol. Explain the operation of a PE mulit-access interface in a Layer 3 VPN and list commands to modify that behavior. Describe ways to support communication between sites attached to a common PE router. Provision and troubleshoot hub-and-spoke Layer 3 VPNs, Describe the flow of control traffic and data traffic in a hub-and-spoke Layer 3 VPN. Describe QoS mechanisms available in L3VPNs. Configure L3VPN over GRE tunnels. Describe the RFC 4364 VPN options. Describe the carrier-of-carriers model. Configure the carrier-of-carriers and ''Option C'' configuration. Describe the flow of control and data traffic in a draft-rosen multicast VPN. Describe the configuration steps for establishing a draft-rosen multicast VPN. Monitor and verify the operation of draft-rosen multicast VPNs. Describe the flow of control traffic and data traffic in a next-generation multicast VPN. Describe the configuration steps for establishing a next-generation multicast VPN. Describe the configuration steps for establishing a next-generation multicast VPN. Monitor and verify the operation of next-generation multicast VPNs. This three-day course is designed to provide students with MPLS-based Layer 3 virtual private network (VPN) knowledge and configuration examples. Chapter 1: Course Introduction Course Introduction Chapter 2: MPLS VPNs MPLS VPNs Provider-Provisioned VPNs Chapter 3: Layer 3 VPNs Layer 3 VPN Terminology VPN-IPv4 Address Structure Operational Characteristics Chapter 4: Basic Layer 3 VPN Configuration Preliminary Steps PE Router Configuration Lab: Layer 3 VPN with Static and BGP Routing Chapter 5: Layer 3 VPN Scaling and Internet Access Scaling Layer 3 VPNs Public Internet Access Options Lab: LDP over RSVP Tunnels and Public Internet Access Chapter 6: Layer 3 VPNs ? Advanced Topics Exchanging Routes between Routing Instances Hub-and-Spoke Topologies Layer 3 VPN CoS Options Layer 3 VPN and GRE Tunneling Integration Layer 3 VPN and IPSec Integration Layer 3 VPN Egress Protection BGP prefix-independent convergence (PIC) edge for MPLS VPNs VRF Localization Provider Edge Link Protection Support for configuring more than 3 million L3VPN Labels Lab: GRE Tunneling Chapter 7: Interprovider Backbones for Layer 3 VPNs Hierarchical VPN Models Carrier-of-Carriers Model Option C Configuration Lab: Carrier of Carrier Layer 3 VPNs Chapter 8: Troubleshooting Layer 3 VPNs Working with Multiple Layers Troubleshooting Commands on a PE Device Multiaccess Interfaces in Layer 3 VPNs PE and CE-based Traceroutes Layer 3 VPN Monitoring Commands Lab: Troubleshooting Layer 3 VPNs Chapter 9: Draft Rosen Multicast VPNs Multicast Overview Draft Rosen MVPN Overvie Draft Rosen MVPN Operation Configuration Monitoring Chapter 10: Next Generation Multicast VPNs Multicast VPN Overview Next-Generation MVPN Operation Configuration Monitoring Internet Multicast Ingress Replication Internet Multicast Signaling and Data Plane Configuring MVPN Internet Multicast Monitoring MVPN Internet Multicast Lab: MVPN Internet Multicast
Duration 3 Days 18 CPD hours This course is intended for This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools. Overview Identify independent and dependent variables and measurement levels in their own analytical work scenarios. Identify variables of interest in relational database tables. Choose a data aggregation level and data set design appropriate for the intended analysis and tool. Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. Create stored procedures, views, and functions to modularize data retrieval code. This three-day instructor-led course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. Specifically, this course presents TSQL within the context of data analysis in other words, making meaning from the data rather than transaction-oriented data-tier application development. The course starts with a brief discussion of levels of measurement and quantitative research methodogy, and integrates these concepts into each TSQL topic presented. The goal is to provide a consistent, direct, and purposeful learning path from RDBMS data retrieval through analytical tools such as SQL Server Reporting Services, PowerBI, Excel, R, SAS, and SPSS. Module 1: Introduction to TSQL for Business Intelligence Two Approaches to SQL Programming TSQL Data Retrieval in an Analytics / Business Intelligence Environment The Database Engine SQL Server Management Studio and the CarDeal Sample Database Identifying Variables in Tables SQL is a Declarative Language Introduction to the SELECT Query Module 2: Turning Table Columns into Variables for Analysis: SELECT List Expressions, WHERE, and ORDER BY Turning Columns into Variables for Analysis Column Expressions, Data Types, and Built-in Functions Column aliases Data type conversions Built-in Scalar Functions Table Aliases The WHERE clause ORDER BY Module 3: Combining Columns from Multiple Tables into a Single Dataset: The JOIN Operators Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSSJOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNERJOIN Understanding Joins, Part 3: The OUTERJOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTERJOINs Combining JOIN Operations with WHERE and ORDER BY Module 4: Creating an Appropriate Aggregation Level Using GROUP BY Identifying required aggregation level and granularity Aggregate Functions GROUP BY HAVING Order of operations in SELECT queries Module 5: Subqueries, Derived Tables and Common Table Expressions Non-correlated and correlated subqueries Derived tables Common table expressions Module 6: Encapsulating Data Retrieval Logic Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Module 7: Getting Your Dataset to the Client Connecting to SQL Server and Submitting Queries from Client Tools Connecting and running SELECT queries from: Excel PowerBI RStudio Exporting datasets to files using Results pane from SSMS The bcp utility The Import/Export Wizard Additional course details: Nexus Humans Writing Analytical Queries for Business Intelligence 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 Writing Analytical Queries for Business Intelligence 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.
Level 4 Endorsed Diploma - International Trade Qualification Complete all 15 modules and 3 assessments, from a choice of 7 to earn a Level 4 Diploma in International Trade.
Duration 5 Days 30 CPD hours This course is intended for Cloud Solutions Architects DevOps Engineers Individuals using Google Cloud Platform who deploy applications, monitor operations, and manage enterprise solutions Overview At course completion, you will have attained knowledge of: Fundamentals of Google Cloud Platform (GCP) Google Cloud Storage Google Compute Engine Google Cloud SQL Load Balancing (LB) Google Cloud Monitoring Auto-Scaling Virtual Private Cloud (VPC) Network Cloud Identity and Access Management (IAM) Cloud CDN and DNS Cloud VPN Google Cloud Deployment Manager Google Container Engine Cloud Run Cloud Bigtable Cloud Datastore Cloud BigQuery Cloud DataFlow Cloud DataProc Cloud Pub/Sub In this course you will attain a deep knowledge of Google Cloud Platform infrastructure and design patterns on developing applications on GCP. This course will prepare you for the Google Cloud Architect Associate Certification Exam. Fundamentals of Google Cloud Platform (GCP) Overview Regions and Zones Review of major GCP services Google Cloud Storage Fundamental APIs Consistency Cloud Storage Namespace Buckets and Objects Bucket and Object Naming Guidelines Encryption Object Versioning Object Lifecycle Management Access Control Access Control Lists Signed URL Multipart upload Resumable upload Understanding Pricing for Cloud Storage Offline Media Import/Export Architecture case study of common Use Cases of Google Cloud Storage Hands-on: Cloud Storage Lab; Creating Buckets, objects, and managing access control Google Compute Engine Compute Engine Architecture VM Instances types Persistence Disks Images Generating Custom Images IP Addresses Static IPs Ephemeral Access Control Options IAM Service Account Monitoring Instances with Google Cloud Monitoring Compute Engine Networks and Firewalls Hands-on: Hosting an Application on Compute Engine Google Cloud SQL Core advantages of Cloud SQL Cloud SQL database instance types Access Control High availability options Failover Read replica Backup options On Demand Automated Understanding Pricing of Cloud SQL Load Balancing (LB) Fundamentals of a Load Balancer Network Load balancing HTTPS Load balancing Cross region Load balancing Content Load balancing Target proxies SSL Load Balancing Internal Load Balancing Network Load Balancing Understanding Pricing for Load Balancer Google Cloud Monitoring Architecture of Cloud Monitoring Supported metrics Stackdriver Monitoring APIs Auto-Scaling Overview of Autoscaling Auto-scaling Fundamentals Instance groups Templates Policies Decisions Hands-on: Deploying a scale application on GCP using Autoscaling, Compute Engine, Cloud SQL, Load Balancers. Virtual Private Cloud (VPC) Network Salient features of Virtual Private Cloud (VPC) Network Infrastructure Virtual Private Cloud (VPC) Networking Fundamentals Subnetworks Firewall Internal DNS Network Routes Hands-on: Hosting Secure Applications in Google Cloud VPC Networks Cloud Identity and Access Management (IAM) Introduction User and Service Accounts IAM Roles Policy Hands-on: Managing Users, Policies and Granting Roles using Service Accounts Cloud CDN and DNS What is CDN Google Cloud CDN Cloud CDN Concepts Some of the Cloud CDN Edge locations Cloud DNS Cloud DNS Terminologies Supported Record Types Hands-on: Moving an Existing Domain Name to Cloud DNS Cloud VPN Cloud VPN overview Types of Cloud VPN Specifications Maintenance and Availability Google Cloud Deployment Manager Deployment Manager Deployment Manager Fundamentals Runtime Configurator Quotas Hands-on: Generating and Creating Cloud Deployment Manager Template Google Container Engine Google Container Engine Overview Docker Overview Kubernetes Terminologies Replication Controller Deployment Price and Quotas Hands-on: Deploying WordPress Cluster using Container Engine Cloud Run Overview of Cloud Run Deploy a Prebuilt Sample container Cloud Bigtable Overview of Cloud Bigtable Access Control Performance Locations Cloud Datastore Overview of Cloud Datastore Limits Storage Size Multitenancy Benefits of Multitenancy Encryption Locations Cloud BigQuery BigQuery Overview Interacting with BigQuery Datasets, Tables, and Views Partitioned Tables Query Plan Explanation Hands-on: Getting Started with BigQuery Cloud DataFlow Overview Programming Model DataFlow SDK 1.x for java Cloud Dataflow SDK 2.x Security and Permissions Advanced Access Control Cloud DataProc Overview Clusters Versioning Cloud Pub/Sub Overview of Cloud Pub/Sub Pub/Sub Concepts and Message Flow Data Model Cleanup of All Services Hands-on: Cloud Pub/Sub Lab with Background Cloud Function Additional course details: Nexus Humans Google Cloud Engineer Associate Certification Bootcamp 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 Engineer Associate Certification Bootcamp 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 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently