518 Sing courses in Cardiff delivered Live Online

Essential optical transmission course description Transmission is the process of sending information along a medium of, copper, fibre or wireless. This course looks at transmission techniques for fibre networks. The course aims to demystify the technologies involved by explaining all the buzzwords used in optical transmission. What will you learn Describe various optical transmission technologies. Explain how SDH and OTN work. Explain how WDM, CWDM and DWDM work. Explain PON, GPON and GEPON. Essential optical transmission course details Who will benefit: Anyone working in telecommunications. Prerequisites: None. Duration 2 days Essential optical transmission course contents Transmission basics nsmission basics Systems, media, signals. Signal degradation, noise, distortion, attenuation. Digital, analogue. Modulation, encoding. Fibre transmission Fibre vs copper, optical transmission, fibre characteristics, fibre component parts. Multi Mode Fibre (MMF). Single Mode Fibre (SMF). Fibre connections. Lasers. Attenuations, dispersion, optical signal noise ratios (OSNR) and their effects. Channel Spacing and Signal Direction. Limiting factors to single wavelength. SDH Timing and synchronisation of digital signals, the plesiochronous digital hierarchy (PDH), the synchronous digital hierarchy (SDH), service protection with SDH. TDM. Standards, basic units, frames, STM1 frame, bit rates, STM0, STM1, STM4, STM16, STM64, STM256, SDH architecture, rings, Add drop multiplexors. SDH network topologies, structure of SDH equipment, SDH synchronisation, protection switching in SDH networks, SDH alarm structure, testing of SDH, equipment and systems, Ethernet over SDH. OTN G.709, OTN interface structure, Optical transport modules, ONNI, OCh, OUT, ODU, OPU. G.709 amendments. WDM overview Multiplexing, TDM, WDM benefits. WDM standards. CWDM vs. DWDM. Four Wave Mixing (FWM). Impact and countermeasures to FWM on WDM. DWDM ITU G.694.1, channel and spacing. Optical Terminal Multiplexers (OTM). Optical Add/Drop Multiplexers (OADM). Adding versus dropping. Optical Amplifiers. Erbium Doped Fibre Amplifiers (EDFA). Transponders and Combiners. Optical and Electrical Cross Connects (OXCs/DXCs). Cross Connect types (Transparent/Opaque). Advantages and disadvantages of various Optical cross connects. FTTx Fibre installation and air blown fibre, FTTH, FTTC, FTTN, FTTD, FFTH topologies and wavelengths, active or passive optical network. PON variants Gigabit passive optical network (GPON), Gigabit Ethernet passive optical network (GEPON), Time division PON (TDM-PON), XG-PON, Wave Division Multiplexing PON (WDM-PON), 1Gbps, 10Gbps, 40Ggps, 100Gbps FSAN (Full Service Access Network) NGA (Next Generation Access), Strategies for TDM-PON to WDM-PON migration, Architecture of NG-PON (hybrid WDM/TDM PON), Additional services than triple play.

Essential OTN training course description An In-depth introduction to the terminology and technology that will comprise tomorrow's Optical Transport Networks. What will you learn Describe the problems with old technologies. Identify the purpose of new technologies. Describe the functionality of the various transmission mediums available Identify OTN features and functionality. Define the issues involved in equipment and application rollout. Essential OTN training course details Who will benefit: Anyone wishing to learn OTN. Prerequisites: SDH foundation or Essential DWDM Duration 2 days Essential OTN training course contents Scope, References Terms and definitions, Abbreviations and Conventions Optical transport network interface structure Multiplexing/mapping principles and bit rates Optical transport module (OTM-n.m, OTM-nr.m, OTM-0.m and OTN 0.mvn) Physical specification of the ONNI Optical channel (OCh) Optical channel transport unit (OTU) Optical channel data unit (ODU) Optical channel payload unit (OPU) OTM overhead signal (OOS) Overhead description and maintenance signals Mapping of client signals and concatenation Mapping ODUk signals into the ODTUjk signal Forward error correction using 16-byte interleaved RS (255,239) codecs ODUk tandem connection monitoring (TCM) overhead OPUk Multiplex Overhead Amendment 2 including: OTN Multiplexing and Mapping, Basic signal structure, ODTU12, ODTU13, ODTU23, OPUk Multiplex Overhead, OPUk Multiplex Structure Identifier (MSI). OPU2 Multiplex Structure Identifier (MSI), OPU3 Multiplex Structure Identifier (MSI), OPUk Payload Structure Identifier Reserved overhead (RES), ODU1 into ODU2 multiplexing, ODU2 into ODU3 multiplexing, ODU1 into ODU3 multiplexing Amendment 3 including: 40 Gbit/s ODU3/OTU3 and 100 Gbit/s ODU4/OTU4, Support of gigabit Ethernet services via ODU0, ODU2e, ODU3 and ODU4, ODU0 and ODUFlex, Multi-lane OTU3 and OTU4 interfaces, Support for InfiniBand Amendment 4 including: OTSn OTN synchronization messaging channel (OSMC) overhead, FC-1600 Amendment 5 Including: ODUk.ts, OTU0LL (OTU0 low latency), OTSiA (optical tributary signal assembly). OTSiG (optical tributary signal group), OTSiG-O (optical tributary signal overhead), CMEP (connection monitoring end- point), CMOH (connection monitoring overhead), MOTU (Multi-OUT), MOTUm (Multi-OTU with management), OTUCn-M (Optical Transport Unit-Cn, with n OxUC overhead instances and 5G tributary slots). SOTU (Single-OUT). SOTUm (Single-OTU with management). Modified bit rates and capacity for OTU1/2/3/4 OTM.nr.m, OTM.n.m, OTM.0.3v4, OTM 0.4v4 Mapping of CBR2G5, CBR10G, CBR10G3 and CBR40G signals into OPUk 64B/66B and 513B block code format PCS lane alignment marker for 40GBASE-R and 100GBASE-R PT=20/PT=21 and AMP/GMP options OTL 4.10 to OTL 4.4 gearbox ODU switching and Line protection Schemes 10 x 10 MSA Overview of current and future coherent and noncoherent technologies 40Gbit and 100Gbit compliant ROADM's Implementers Guide including replacement terms. Differing vendor's equipment and their implementations Individual and group planning exercises: Upgrade a customer STM-64/10G network to a 40G/ OTN network. Upgrade a customer old 16 Wavelength WDM network to be OTN compliant. Implement a new customer 40 wavelength OTU3 OTN compliant MSPP (DWDM) network. Design a cost-effective solution where we can hand over circuits using 'Optical Transport Lanes'.

About this Training Course Managed Pressure Drilling (MPD) offers opportunities to improve safety and efficiency in drilling, and it is increasingly recognised by operators and regulators. MPD aims to cost effectively resolve chronic drilling problems that contribute to non-productive time. This 3 full-day course provides participants with an understanding of the MPD techniques and equipment. The course starts with the design requirements for an MPD operation. It covers all MPD methods, including constant bottom hole pressure and mud cap drilling operations. It also includes all of the rig types - both onshore and offshore - and MPD. MPD equipment is presented in detail and the design aspects of the well are also examined. Training Objectives This course aims to provide participants with a good understanding of the various aspects of managed pressure drilling. It also enables participants to gain knowledge of planning MPD operations, type of equipment and the equipment requirements for both onshore and offshore and MPD operations. At the end of the course, participants will be able to: Understand the variations in MPD Design MPD operations for various techniques Understand the engineering requirements of MPD Define MPD equipment requirements Understand operational and well control aspects of MPD Target Audience This course is designed for engineers, managers and service providers who are about to use MPD techniques and are trying to better understand the associated complexities and challenges surrounding MPD. Trainer Your expert course leader was born and raised in Nijmegen, Netherlands. He holds an MSc in Drilling Engineering from The Robert Gordon University in Aberdeen and has over 39 years of oilfield experience. He started in the industry back in 1977 as a Mud logger before becoming a wellsite drilling engineer in 1980 working mainly in the Middle East and West Africa. In 1988, he joined Shell in in the Southern North Sea. In 1995, he joined Smedvig in Norway and worked on a number of deepwater wells as well as on underbalanced drilling operations. In 1999, he started Leading Edge Advantage in Aberdeen and worked in coiled tubing, underbalanced and managed pressure drilling. In 2004, he joined Weatherford as Regional Engineering Manager in Singapore and developed the first ultra deepwater MPD systems. In 2010, he joined SPT Group specializing in well control and hydraulics modelling. SPT Group was later acquired by Schlumberger in 2012. At Schlumberger, he was Drilling Adviser, with a focus on well control, relief well planning and MPD. During that time, he was also an instructor for NExT teaching numerous well engineering courses. In 2015, he joined Wild Well as Engineering Manager in Asia and in February 2017, he became an independent consultant concentrating on provision of drilling engineering training. He has written and presented numerous papers and authored several chapters in the SPE Advanced Technology books. He is an active committee member and speaker on numerous SPE Workshops around the world. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

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 After completing this course, students will be able to: - 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 course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. 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 Lab 1: Introduction to TSQL for Business Intelligence 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 Lab 1: Write queries 3 - COMBINING COLUMNS FROM MULTIPLE TABLES INTO A SINGLE DATASET: THE JOIN OPERATORS Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSS JOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNER JOIN Understanding Joins, Part 3: The OUTER JOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTER JOINs Combining JOIN Operations with WHERE and ORDER BY Lab 1: Write SELECT queries 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 Lab 1: Write queries 5 - SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS Non-correlated and correlated subqueries Derived tables Common table expressions Lab 1: Write queries 6 - ENCAPSULATING DATA RETRIEVAL LOGIC Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Lab 1: Encapsulating Data Retrieval Logic 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 Lab 1: Getting Your Dataset to the Client Additional course details: Nexus Humans 55232 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 55232 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.

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Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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 PL-300T00: Microsoft Power BI Data Analyst 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.

Online Asset Management course. This IAM Certificate course will be hosted online, September 2023.

Total STP training course description The Spanning Tree Protocol (STP) dates from 1985. This course explores in depth how the protocol works and the implications this has on network performance. We also study STP variants including 802.1w (RSTP) and 802.1s (MSTP). What will you learn Explain how STP works. Explain how RSTP works. Explain how MSTP works. Troubleshoot STP and variants. Total STP training course details Who will benefit: Technical network staff. Prerequisites: Definitive Ethernet switching for engineers Duration 1 day Total STP training course contents STP What is 802.1D, what is STP, resilience, broadcast storms, forwarding and blocking, single path. Hands on Impact of broadcast storms, enabling disabling STP. Operation STP frames, BPDUs, root bridge election, blocked ports, root ports, designated ports. STP path costs. Hands on Analysing STP, troubleshooting implications. Topology changes Hello timer, Forward delay timer, max age timer, Topology Change Notification (TCN) BPDU. Hands on STP convergence. STP enhancements and tuning Bridge ID, Bridge priority, port priority, 30 second delay, Edge ports, PortFast, root guard, loop guard, BPDU guard. Hands on Root bridge positioning, improving STP convergence. RSTP 802.1w, Improvements, convergence times. RSTP bridge port roles, RSTP switch port states. Edge ports, link ports. Hands on RSTP configuration and convergence. VLANs and STP Access/untagged ports, trunk/tagged ports, PVST, PVST+, RPVST, MISTP, MSTP and 802.1s. MSTP BPDUs. Instances, Load balancing, impact on CPU. Hands on MSTP load balancing. Interoperability Regions, Virtual bridges, domains. Hands on STP, RSTP and MSTP interoperation.

Server Load Balancing course description This two-day Server Load Balancing course introduces the concepts of SLB from the reasons to implement, through the basics and then onto details studies of load distribution, health checks, layer 7 switching and Global SLB. What will you learn Explain packet paths when implementing SLB. Recognise the impact of different topologies. Evaluate SLB load distribution methods. Describe how load balancers can improve security. Explain how GSLB works. Server Load Balancing course details Who will benefit: Anyone working with SLB. Prerequisites: None. Duration 2 days Server Load Balancing course contents Introduction Concept, reasons, benefits, alternatives. Other features: Security, Caching. SLB concepts Architectures, Virtual servers, real servers, Virtual IP address, health checks. DNS load balancing. Packet walk using SLB. Load balancing 6 modes of bonding and load balancing without SLB. ISP load balancing. Health. Distribution policies: Round Robin, least connections, weighted distributions, response time, other variations. Persistent versus concurrent. Layer 4 switching L2 SLB, L3 SLB, single arm SLB, DSR, more packet walking, TCP versus UDP, Port numbers. Layer 7 switching Persistence. Cookie switching, Cookie hashing, Cookie insertion, URL switching, URL Hashing, SSL. Health checks Layer 3: ARP, ping. Layer 4: SYN, UDP. Layer 7: HTTP GET, Status codes, HTTP keepalives, content verification, SSL. Other application keepalives. What to do after failure and recovery. Security DOS attack protection, SYN attack protection, Rate limiting: connections, transactions. SSL offload. Redundancy Hot standby, Active standby, Active active. Stateful, stateless. VRRP, STP. GSLB Anycasting. DNS, TTL, DNS load balancing, problems with DNS load balancing,. HTTP redirect, health, thresholds, round trip times, location.

Kubernetes for engineers training course description This course covers how Kubernetes addresses the challenges of distributed systems. Hands on sessions follow all the major theory chapters. What will you learn Explain what Kubernetes is and how it works. Create and run containers on Kubernetes using the Docker image format and container runtime. Kubernetes for engineers training course details Who will benefit: Anyone working with Docker or Kubernetes. Prerequisites: Definitive Docker for engineers. Duration 2 days Kubernetes for engineers training course contents Introduction Velocity, Scaling your service and your teams, Abstracting your infrastructure. Creating and running containers Container images, Building application images with Docker, Storing images in a remote registry, The Docker container runtime. Deploying a Kubernetes cluster Installing Kubernetes on a public cloud provider, Installing Kubernetes locally using minikube, Running Kubernetes on Raspberry Pi, The Kubernetes client, Cluster components. Common kubectl Commands Namespaces, Contexts, Viewing Kubernetes API objects, Creating, Updating, and Destroying Kubernetes objects, Labelling and annotating objects, Debugging commands. Pods Pods in Kubernetes, Thinking with pods, The pod manifest, Running pods, Accessing your pod, Health checks, Resource management, Persisting data with volumes, Putting It all together. Labels and Annotations Labels, Annotations. Service Discovery What Is Service discovery? The service object, Looking beyond the cluster, Cloud integration, Advanced details. ReplicaSets Reconciliation loops, Relating pods and ReplicaSets, Designing with ReplicaSets, ReplicaSet Spec, Creating a ReplicaSet, Inspecting a ReplicaSet, Scaling ReplicaSets, Deleting ReplicaSets. DaemonSets DaemonSet scheduler, Creating DaemonSets, Limiting DaemonSets to specific nodes, Updating a DaemonSet, Deleting a DaemonSet. Jobs The job object, Job patterns. ConfigMaps and secrets ConfigMaps, Secrets, Naming constraints, Managing ConfigMaps and secrets. Deployments Your first deployment, Creating deployments, Managing deployments, Updating deployments, Deployment strategies, Deleting a deployment. Integrating storage solutions and Kubernetes Importing external services, Running reliable singletons, Kubernetes-native storage with StatefulSets. Deploying real-world applications Parse, Ghost, Redis.