537 Courses in Nottingham delivered Live Online

SIP training course description A hands on course covering IP telephony with SIP. The course starts with a brief review of knowledge students should already possess including RTP and RTCP. The main focus is on SIP though, progressing from what SIP is through SIP signalling, call processing and architectures, moving onto more advanced issues including security, multimedia, and interoperability. Hands-on practicals follow each major theory session. What will you learn Explain how SIP works. Analyse SIP packets. Deploy SIP IP telephony solutions. Integrate SIP with other telephony solutions. SIP training course details Who will benefit: Technical staff working with SIP. Prerequisites: Definitive VoIP for engineers Duration 3 days SIP training course contents VoIP review What is VoIP? Brief review of IP, Brief review of telephones and voice. RTP, RTCP, mixers and translators. Hands on Analysing RTP packets. What is SIP? Why SIP? SIP history, SIP standards, SIP capabilities, key services, how SIP works, and a basic SIP call. Hands on Peer to peer SIP. SIP messages SIP sessions, SIP flows, Message structure, INVITE, ACK, BYE, CANCEL, OPTIONS, REGISTER. Extension methods. Response codes. SIP call flows. Hands on Analysing SIP packets. SIP architectures UA client, UA server, Proxy servers, Redirect servers, registrars. SIP phones, gateways, application servers, and other products. Stateful and stateless servers. Various call scenarios. Hands on SIP proxies. SIP addressing URLs, SIP addresses, registration, Location and Directory servers. Address tracking. Hands on SIP and DNS. Supplementary services SIP signalling, signalling compression, Call hold, Call forwarding, Home and away scenarios, transfers, conferences, call control. Hands on Analysing SIP supplementary services. SDP What is SDP? Multimedia, multimedia session announcement, invitation and others. Relationship with SIP. Hands on Video conferencing with SIP. SIP security Access control, Authentication, encryption, firewalls. Hands on SIP authentication. Interoperability Inter working with PSTN, ISUP to SIP mapping, SIP and 3G, SIP-T, SIP and SIGTRAN. SIP and H323. Hands on SIP and gateways. SIP mobility Terminal mobility, service mobility, personal mobility, Mobile IP, SIP signalling flows in 3G.

About this Course Batteries are going to play an increasingly important role in the energy grid. An increasing number of developers are looking to add battery storage systems (BESS) into their existing projects. However future cash flows are highly uncertain and they are often unsure exactly how battery technology can be monetised. A strong revenue model requires stacking of different revenue sources. As the share of variable renewable sources in electricity systems further increase, battery systems are expected to play a growing role by providing frequency control and operational reserves as well as for wholesale arbitrage, while helping reduce grid integration costs. The more volatile electricity prices are, the greater the earning potential of batteries trading electricity on various electricity markets. BESS can generate revenue streams in several different ways; through a frequency response contract with the TSO, by providing grid services in other ways or by arbitrage through buying cheap power and selling power for a higher price in a liquid wholesale market. Because batteries are efficient, the round trip efficiency is also high. They can spread arbitrage trading much better than other storage types and in many cases, other asset classes. For companies that combine a battery with other tasks, for example to store power from their own panels, or to avoid a costly heavy power connection, the investment is less risky than for those that purely focus on arbitrage trading. It is uncertain whether electricity prices will fluctuate more violently in the coming years, or whether the peaks will actually level off. During this highly interactive training, the trainer will provide you with the latest insights and best practices on how to obtain the maximum economic benefits when participating with BESS in the electricity market. Training Objectives By the end of this course, the participants will be able to: Discover the different BESS battery technologies and their impact on the grid Understand the role of storage in providing flexibility to the power system Examine the potential revenue streams from BESS models Learn how profit can generated with BESS trading strategies Determine how to optimize the value from BESS projects Find out how to combine BESS with renewable PPAs Target Audience Professionals and executives from Power Utilities, Energy Companies, Financial & Investment Banks, Renewable Power Project Developers, Transmission System Operators and Energy Industry Regulators will find this training course useful. Electricity Marketing and Traders New Venture or Business Development Executives Corporate Finance and Treasury Executives Audit and Risk Management Executives Power or Utility Market Research Analysts Investment Managers for Renewable Power Projects Origination Professionals Regulation, Compliance and Documentation Officers Lawyers and Accountants Power Transmission and Distributions Engineers Trainer Our key expert is a skilled and accomplished professional with over 25 years' of extensive senior management / board level experience in the energy markets worldwide. Next to advising energy companies, banks, consultants and regulators regarding PPAs, our key expert has also conducted several highly successful training courses about Power Purchase Agreements, Power Project Finance, IPPs, and Project Risk Management to over 1,000 high level participants from Asia, Africa, Europe and Middle East. He was a member of the expert commission of the Dutch Government for 2 offshore wind parks, Hollandse Kust (zuid) Wind Farm Zone Sites 3 and 4 that advised on which of the 5 applicants did provide the best security and solutions associated with the electricity and green certificate prices, the construction and operational risks of the project. 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

  European Data Protection   Principles of Data Protection in Europe covers the essential pan-European and national data protection laws, as well as industry-standard best practices for corporate compliance with these laws. Those taking this course will gain an understanding of the European model for privacy enforcement, key privacy terminology and practical concepts concerning the protection of personal data and trans-border data flows.   The training is based on the body of knowledge for the IAPP's ANSI-accredited Certified Information Privacy Professional/Europe (CIPP/E) certification program. Privacy Programme Management   Principles of Privacy Management is the how-to training on implementing a privacy program framework, managing the privacy program operational lifecycle and structuring a knowledgeable, high-performing privacy team. Those taking this course will learn the skills to manage privacy in an organisation through process and technology-regardless of jurisdiction or industry.   The Principles of Privacy Program Management training is based on the body of knowledge for the IAPP's ANSI-accredited Certified Information Privacy Manager (CIPM) certification programme. Make a difference in your organization and in your career. The CIPM designation says that you're a leader in privacy program administration and that you've got the goods to establish, maintain and manage a privacy program across all stages of its lifecycle.  About This Course   Delivered in a modular format, this four day course covers   Days 1 & 2   Module 1: Data Protection Laws Introduces key European data protection laws and regulatory bodies, describing the evolution toward a Harmonised European Legislative Framework.  Module 2: Personal Data Defines and differentiates between types of data-including personal, anonymous, pseudo-anonymous and special categories.  Module 3: Controllers and Processors Describes the roles and relationships of controllers and processors.  Module 4: Processing Personal Data Defines data processing and GDPR processing principles, Explains the application of the GDPR and outlines the legitimate bases for processing personal data. Module 5: Information provision Explains controller obligations for providing information about data processing activities to data subjects and Supervisory Authorities.  Module 6: Data Subjects 'Rights Describes data subjects' rights, applications of rights and obligations controller and processor.  Module 7: Security or Processing Discusses considerations and duties of controllers and processors for Ensuring security of personal data and providing notification of data breaches.  Module 8: Accountability Investigates accountability requirements, data protection management systems, data protection impact assessments, privacy policies and the role of the data protection officer.  Module 9: International Data Transfers Outlines options and obligations for transferring data outside the European Economic Area, Decisions adequacy and appropriateness safeguards and derogations.  Module 10: Supervision and Enforcement Describes the role, powers and procedures or Supervisory Authorities; the composition and tasks of the European Data Protection Board; the role of the European Data Protection Supervisor; and remedies, liabilities and penalties for non-compliance.  Module 11: Compliance Discusses the applications of European data protection law, legal bases and compliance requirements for processing personal data in practice, employers-including processing employee data, surveillance, direct marketing, Internet technology and communications and outsourcing.    Days 3 & 4   Module 1: Introduction to privacy program management Identifies privacy program management responsibilities, and describes the role of accountability in privacy program management.  Module 2: Privacy governance Examines considerations for developing and implementing a privacy program, including the position of the privacy function within the organization, role of the DPO, program scope and charter, privacy strategy, support and ongoing involvement of key functions and privacy frameworks.  Module 3: Applicable laws and regulations Discusses the regulatory environment, common elements across jurisdictions and strategies for aligning compliance with organizational strategy.  Module 4: Data assessments Relates practical processes for creating and using data inventories/maps, gap analyses, privacy assessments, privacy impact assessments/data protection impact assessments and vendor assessments.  Module 5: Policies Describes common types of privacy-related policies, outlines components and offers strategies for implementation.  Module 6: Data subject rights Discusses operational considerations for communicating and ensuring data subject rights, including privacy notice, choice and consent, access and rectification, data portability, and erasure and the right to be forgotten.  Module 7: Training and awareness Outlines strategies for developing and implementing privacy training and awareness programs.  Module 8: Protecting personal information Examines a holistic approach to protecting personal information through privacy by design.  Module 9: Data breach incident plans Provides guidance on planning for and responding to a data security incident or breach.  Module 10: Measuring, monitoring and auditing program performance Relates common practices for monitoring, measuring, analyzing and auditing privacy program performance Prerequisites   There are no prerequisites for this course but attendees would benefit from a review of the materials on the IAPP SITE What's Included?   1 years membership of the IAPP Breakfast, Lunch, mid-morning and afternoon snacks, teas, coffees Official Study Guides* Official Participant Guides* Official Exam Q&A's* Both exam fees * In electronic format for Live Online and hard copy for Classroom delegates     Who Should Attend?   This course is suitable for aspiring Data Protection Officers, as well as Information Security Managers, Lawyers, Data Managers, Analysts and Risk Teams. Provided by Our Guarantee   We are an approved IAPP Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam.

4G training course description This course is designed to give the delegate an understanding of the technologies used within a 3G UMTS mobile network. During the course we will investigate the UMTS air interface and the use of Wideband-Code Division Multiple Access (WCDMA) to facilitate high speed data access, together with HSPA to offer mobile broadband services. We will describe the use of soft handover rather than hard handover procedures and soft capacity sharing. The course includes a brief exploration of the UMTS protocol stack and the use of PDP Context and QoS support features. What will you learn Explain the 3G UMTS architecture. Describe the role of a Drifting & Serving RNC. Explain the use of ARQ & HARQ for mobile broadband. Describe how IMS integrates into the architecture. Describe the use of Media Gateway Controllers. Identify the temporary identities used within 3G UMTS. 4G training course details Who will benefit: Anyone working within the telecommunications area, especially within the mobile environment. Prerequisites: Mobile communications demystified Telecommunications Introduction Duration 2 days 4G training course contents LTE Introduction The path to LTE, 3GPP. LTE to LTE advanced. LTE Architecture The core, Access, roaming. Protocols: User plane, Control plane. Example information flows. Bearer management. Spectrum allocation. LTE technologies Transmission, reception, OFDMA, multiple antenna, MIMO. LTE Air interface Air interface protocol stack. Channels, Resource Grid, cell acquisition. Up and downlink controls. Layer 2 protocols. Cell acquisition Power on, selecting networks and cells. RRC connection. Attach procedure. Mobility management Roaming, RRC_IDLE, RRC_CONNECTED, cell reselection, handover, interoperation with UMTS and GSM networks. Voice and text IMS, QoS, policy and charging.

LTE Backhaul training course description This course provides a concise insight into the LTE backhaul. Key parts of the course are detailed looks at the transport of messages and the S1 and X2 protocols. What will you learn Describe the overall architecture of LTE. Explain how data and signalling messages are transported in LTE. Describe the S1 protocol. Describe the X2 protocol. LTE Backhaul training course details Who will benefit: Anyone working with LTE. Prerequisites: Mobile communications demystified Duration 2 days LTE Backhaul training course contents Introduction In the first section of the course, we review LTE and its hardware and software architecture. Requirements and key features of LTE. LTE Architecture and capabilities of the UE. Architecture of the E-UTRAN, functions of the eNB. EPC architecture, and functions of the MME, SGW, PGW and PCRF. System interfaces and protocol stacks. Example information flows. Dedicated and default bearers. EMM, ECM and RRC state diagrams. Architecture of the radio access network In this section, we look in more detail at the architecture of the evolved UMTS terrestrial radio access network (E-UTRAN). Logical and physical architecture of the E-UTRAN. Numbering, addressing and identification. E-UTRAN functions. E-UTRAN protocol stacks. Timing and frequency synchronisation in LTE. Transport of data and signalling in LTE Here, we look in more detail at the techniques and protocols that are used to transport data and signalling messages across the evolved UMTS terrestrial radio access network and the evolved packet core. Quality of service in LTE. The GPRS tunnelling protocol. Differentiated services Multi-protocol label switching (MPLS). The stream control transmission protocol (SCTP). The S1 application protocol This section gives a detailed account of the signalling procedures in the S1 application protocol, which the MME uses to control the operation of the eNB. The material looks at the procedures, messages and information elements, and relates them to the system-level procedures in which they are used. S1 setup procedure. UE context management procedures. Non access stratum information transport. Procedures for managing the evolved radio access bearer (E-RAB). Paging procedures. Mobility management procedures for S1-based handovers. Procedures in support of self-optimising networks. The X2 application protocol This section gives a detailed account of the signalling procedures in the X2 application protocol, which is used for peer-to-peer communication between eNBs. The material looks at the procedures, messages and information elements, and relates them to the system-level procedures in which they are used. X2 setup procedure. Mobility management procedures for X2-based handovers Procedures in support of self-optimising networks. High level system operation In the final section, we bring our discussions of the S1 and X2 application protocols together by reviewing the system-level operation of LTE. Attach procedure. Transitions between the states of RRC Idle and RRC Connected. Tracking area updates in RRC Idle. Handover procedures in RRC Connected.

LTE Airside training course description This course provides a concise insight into the LTE airside. Key parts of the course are detailed looks at the air interface protocol stack, cell acquisition, transmission and reception of data and of he layer 1 procedures along with layer 2 procedures. What will you learn Explain the RF optimisation flowchart. Describe the importance of Reference Signal Received Power (RSRP). List many of the 3GPP recommended KPIs. Describe the concept of APN AMBR and UE AMBR within LTE. Describe the use of planning and optimisation computer tools. LTE Airside training course details Who will benefit: Anyone working with LTE. Prerequisites: Essential LTE Duration 2 days LTE Airside training course contents Introduction and review of LTE This section describes the requirements of LTE and key technical features, and reviews the system architecture. LTE Architecture, UE, E-UTRAN and EPC. Specifications. OFDMA, SC-FDMA and MIMO antennas This section describes the techniques used in the LTE air interface, notably orthogonal frequency division multiple access (OFDMA) and multiple input multiple output (MIMO) antennas. Communication techniques for fading multipath channels. OFDMA, FFT processing and cyclic prefix insertion. SC-FDMA in the LTE uplink. Multiple antenna techniques including transmit & receive diversity and spatial multiplexing. Introduction to the air interface This section covers the operation of the air interface, the channels that it uses, and the mapping to the time and frequency domains of OFDMA and SC-FDMA. Air interface protocol stack. Logical, transport and physical channels. Frame and slot structure, the resource grid. Resource element mapping of the physical channels and physical signals. LTE spectrum allocation. Cell acquisition This is the first of three sections covering the air interface physical layer. Here, we cover mobile procedures to start low-level communications with the cell, and base station transmission of the corresponding information. Primary/secondary synchronisation signals. Downlink reference signals. The master information block. Physical control format indicator channel. Organisation and transmission of the system information. Data transmission and reception In this section, we cover procedures used for data transmission and reception on the shared channels, and describe in detail the individual steps. Data transmission and reception on the uplink and downlink. Scheduling commands and grants on the PDCCH. DL-SCH and UL-SCH. Physical channel processing of the PDSCH and PUSCH. Hybrid ARQ indicators on the PHICH. Uplink control information on the PUCCH. Uplink demodulation and sounding reference signals. Additional physical layer procedure This section concludes our discussion of the air interface physical layer, by discussing a number of procedures that support its operation. Transmission of the physical random access channel. Contention and non-contention based random access procedures. Discontinuous transmission in idle and connected modes. Uplink power control and timing advance. Air interface layer 2 This section describes the architecture and operation of layer 2 of the air interface protocol stack. MAC protocol, interactions with the physical layer, use for scheduling. RLC protocol, transparent, unacknowledged and acknowledged modes. PDCP, including header compression, security functions and recovery from handover.

Duration 5 Days 30 CPD hours Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture and main components of NSX Explain the features and benefits of NSX Deploy the NSX Management cluster and VMware NSX Edge™ nodes Prepare VMware ESXi™ hosts to participate in NSX networking Create and configure segments for layer 2 forwarding Create and configure Tier-0 and Tier-1 gateways for logical routing Use distributed and gateway firewall policies to filter east-west and north-south traffic in NSX Configure Advanced Threat Prevention features Configure network services on NSX Edge nodes Use VMware Identity Manager™ and LDAP to manage users and access Explain the use cases, importance, and architecture of Federation This five-day, fast-paced course provides comprehensive training to install, configure, and manage a VMware NSX© environment. This course covers key features and functionality offered in the NSX 4.0.0.1 and NSX 4.0.1 releases, including the overall infrastructure, logical switching, logical routing, networking and security services, firewalls and advanced threat prevention, and more. Course Introduction Introductions and course logistics Course objectives VMware Virtual Cloud Network and VMware NSX Introduce the VMware Virtual Cloud Network vision Describe the NSX product portfolio Discuss NSX features, use cases, and benefits Explain NSX architecture and components Explain the management, control, data, and consumption planes and their functions. Preparing the NSX Infrastructure Deploy VMware NSX© ManagerTM nodes on ESXi hypervisors Navigate through the NSX UI Explain data plane components such as N-VDS/VDS, transport nodes, transport zones, profiles, and more Perform transport node preparation and configure the data plane infrastructure Verify transport node status and connectivity Explain DPU-based acceleration in NSX Install NSX using DPUs NSX Logical Switching Introduce key components and terminology in logical switching Describe the function and types of L2 segments Explain tunneling and the Geneve encapsulation Configure logical segments and attach hosts using NSX UI Describe the function and types of segment profiles Create segment profiles and apply them to segments and ports Explain the function of MAC, ARP, and TEP tables used in packet forwarding Demonstrate L2 unicast packet flow Explain ARP suppression and BUM traffic handling NSX Logical Routing Describe the logical routing function and use cases Introduce the two-tier routing architecture, topologies, and components Explain the Tier-0 and Tier-1 gateway functions Describe the logical router components: Service Router and Distributed Router Discuss the architecture and function of NSX Edge nodes Discuss deployment options of NSX Edge nodes Configure NSX Edge nodes and create NSX Edge clusters Configure Tier-0 and Tier-1 gateways Examine single-tier and multitier packet flows Configure static routing and dynamic routing, including BGP and OSPF Enable ECMP on a Tier-0 gateway Describe NSX Edge HA, failure detection, and failback modes Configure VRF Lite NSX Bridging Describe the function of logical bridging Discuss the logical bridging use cases Compare routing and bridging solutions Explain the components of logical bridging Create bridge clusters and bridge profiles NSX Firewalls Describe NSX segmentation Identify the steps to enforce Zero-Trust with NSX segmentation Describe the Distributed Firewall architecture, components, and function Configure Distributed Firewall sections and rules Configure the Distributed Firewall on VDS Describe the Gateway Firewall architecture, components, and function Configure Gateway Firewall sections and rules NSX Advanced Threat Prevention Explain NSX IDS/IPS and its use cases Configure NSX IDS/IPS Deploy NSX Application Platform Identify the components and architecture of NSX Malware Prevention Configure NSX Malware Prevention for east-west and north-south traffic Describe the use cases and architecture of VMware NSX© Intelligence? Identify the components and architecture of VMware NSX© Network Detection and Response? Use NSX Network Detection and Response to analyze network traffic events. NSX Services Explain and configure Network Address Translation (NAT) Explain and configure DNS and DHCP services Describe VMware NSX© Advanced Load Balancer? architecture, components, topologies, and use cases. Configure NSX Advanced Load Balancer Discuss the IPSec VPN and L2 VPN function and use cases Configure IPSec VPN and L2 VPN using the NSX UI NSX User and Role Management Describe the function and benefits of VMware Identity Manager? in NSX Integrate VMware Identity Manager with NSX Integrate LDAP with NSX Identify the various types of users, authentication policies, and permissions Use role-based access control to restrict user access Explain object-based access control in NSX NSX Federation Introduce the NSX Federation key concepts, terminology, and use cases. Explain the onboarding process of NSX Federation Describe the NSX Federation switching and routing functions. Describe the NSX Federation security concepts.

About this Training Course Liquefied Natural Gas (LNG) has provided intercontinental mobility to natural gas, which now provides about 25% of the global primary energy. Being the cleanest fossil fuel, natural gas/LNG consumption is forecasted to grow in all future scenarios. With the entry of various players, including Trading companies, the LNG value chain is becoming increasingly complex, and a solid understanding of its economics and management of its interfaces have become crucial to identify and assess investment opportunities and risks. Recent market disturbances caused by COVID-19, Oil & Gas price instabilities - coupled with the political (Ukraine/Russia) challenges - make a deep understanding of LNG Value Chain Logistics and Economics even more essential to ensure the security of energy supplies sustainably and profitably. This intermediate level 3 full-day course starts with a concise introduction to the LNG business. Thereafter, the elements of the LNG value chain are described, and their individual economics analysed. A Business Activity Model along the value chain will be developed and discussed in depth, covering the following key processes: 'Buy Gas - Transport Gas - Liquefy Gas - Sell LNG/Products - Ship LNG - Regasify LNG' The integrated chain economics will then be developed and quantified. A hands-on group workshop/exercise developing the economic case of a full-sized Liquefaction project will be carried out, considering the forecasted cash flows throughout the project life, the location of the plant, its markets, project sensitivities and profitability assessment. Participants will be provided with Excel based tools/models (LNG Liquefaction project development Net Present Value (NPV) analyses, Shipping Freight Calculations and Economics) to work through the exercises and also for their future personal use. Training Objectives After the completion of this course, participants will be able to: Understand how the LNG Value Chain operates, bound by the relevant Contracts and Agreements. Learn the basic economic parameters (operating, capital costs, financing, profitability) of each major element of the value chain. Appreciate the complexity of the value chain, and the associated opportunities and risks. Develop quantitative project evaluation skills. Explore options to maximise profitability in a given LNG value chain. Discuss best practices on how to manage, steer and govern these activities. Target Audience Technical, Operational, Shipping, Commercial, Project and Governance professionals who are already active in a specific section of the LNG Value Chain will directly benefit in developing a wider and deeper perspective on how the LNG Value Chain operations and can be optimised. Managers (Technical, Financial, Legal and Governance) less familiar with the specifics of the LNG Industry will also benefit from attending this VILT course, as they will obtain the required background to be able to set sharper targets, suitable performance indicators, and governance and performance assessment guidelines for units engaged in the chain. The course is most relevant for professionals engaged in the LNG industry at: National and International Oil & Gas/Energy Companies LNG Importers/Exporters/Traders/Shippers Government & Regulatory Agencies Finance Institutions It will also apply to the following audience: Business Development Managers Corporate Planning Professionals Project Developers Supply Planners & Scheduling Professionals Regulators Tax & Finance Advisors Compliance Officers Equity Analyst and Bankers Joint Venture Representatives, Board Directors Negotiators and Contracting Staff Trading Professionals Course Level Intermediate Trainer Your expert course leader is an Oil & Gas/LNG professional with more than 35 years of international experience, majority of which was gained at Shell International Joint Ventures engaged in Oil Refining, Supply / Trading, Gas Supply and LNG Businesses in the Netherlands, France, Thailand, Dominican Republic and Nigeria. Since 2004, he has had several roles in the management of the LNG Value Chain including the Commercial Operational Management of Nigeria LNG (NLNG). He played an active role in the start-up and integration of LNG trains 4, 5 and 6 with NLNG becoming the 3rd largest LNG producer in the world in 2007. Commercial operations spanned 4 Gas Supply, 11 LNG Sales & Purchase Agreements, ad-hoc LPG and Condensate Sales and LNG Ship Chartering contracts. Under his supervision, more than 2,000 LNG cargoes were exported. He was part of the organizational transformation of the company from a Project-based set-up to a Production / Commercial based structure and implemented an 'Integrated Planning and Scheduling Department' in which he optimized the value chain (Buy-Gas - Liquify Gas to LNG - Sell - Ship LNG). Staff competence management was one of his focus areas during this period. He was also the NLNG representative on JV Technical, Commercial, Shipping Committees where he interfaced with Government & Regulatory authorities. In 2014, he was appointed as Shell Shareholder representative to NLNG and became a Non-Executive Board member to NLNG companies, including Bonny Gas Transport (BGT) managing 24 LNG Ships. During this period, he was involved in the Economic and Technical steering of the Shipping Fleet and Liquefaction Plant Rejuvenation projects and a further capacity expansion of liquefaction plant which resulted in the achievement of NLNG train 7 project FID in 2019. Since 2016, he has been active as an independent consultant. He co-authored 2 patents and more than 30 published papers/presentations. He holds a PhD from Delft University of Technology in the Netherlands and a MSc and BSc in Chemical Engineering from the University of Birmingham, UK. 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 4 Days 24 CPD hours This course is intended for This course is appropriate for anyone who wants to create applications or modules to automate and simplify common tasks with Perl. Overview Working within in an engaging, hands-on learning environment, guided by our expert web development, PHP practitioner, students will learn to: Create a working script that gets input from the command line, the keyboard, or a file Use arrays to store and process data from files Create formatted reports Use regular expressions Use the appropriate types of variables and data structures Refactor duplicate code into subroutines and modules What is available in the standard library Use shortcuts and defaults, and what they replace Introduction to Perl Programming Essentials is an Introductory-level practical, hands-on Perl scripting training course that guides the students from the basics of writing and running Perl scripts to using more advanced features such as file operations, report writing, the use of regular expressions, working with binary data files, and using the extensive functionality of the standard Perl library. Students will immediately be able to use Perl to complete tasks in the real world. Session: An Overview of Perl What is Perl? Perl is compiled and interpreted Perl Advantages and Disadvantages Downloading and Installing Perl Which version of Perl Getting Help Session: Creating and running Perl Programs Structure of a Perl program Running a Perl script Checking syntax and warnings Execution of scripts under Unix and Windows Session: Basic Data and I/O Numeric and Text literals Math operators and expressions Scalar variables Default values Writing to standard output Command line arguments Reading from the standard input Session: Logic and Loops About flow control The if statement and Boolean values Using unless and elsif Statement modifiers warn() and die() The conditional construct Using while loop and its variants Using the for loop Exiting from loops Session: Lists and Arrays The list data type Accessing array elements Creating arrays List interpolation Arrays and memory Counting elements Iterating through an array List evaluation Slices and ranges Session: Reading and writing text files File I/O Overview Opening a file Reading text files Writing to a text file Arrays and file I/O Using the <> operator Session: List functions Growing and shrinking arrays The split() function Splitting on whitespace Assigning to literal lists The join() function The sort() function Alternate sort keys Reversing an array Session: Formatting output Using sprintf() and printf() Report formatting overview Defining report formats The write() function Advanced filehandle magic Session: Hashes Hash overview Creating hashes Hash attributes Traversing a hash Testing for existence of elements Deleting hash elements Session: References What is a reference? The two ways to create references References to existing data References to anonymous data Dereferencing scalar, array, and ash references Dereferencing elements of arrays and hashes Multidimensional arrays and other data structures Session: Text and Regular Expressions String length The substr() function The index() and rindex() functions String replication Pattern matching and substitution Regular expressions Session: Raw file and data access Opening and closing raw (binary) files Reading raw data Using seek() and tell() Writing raw data Raw data manipulation with pack() and unpack() Session: Subroutines and variable scope Understanding packages Package and Lexical variables Localizing builtin variables Declaring and calling subroutines Calling subroutines Passing parameters and returning values Session: Working with the operating system Determining current OS Environment variables Running external programs User identification Trapping signals File test operators Working with files Time of day Session: Shortcuts and defaults Understanding $_ shift() with no array specified Text file processing Using grep() and Using map() Command-line options for file processing Session: Data wrangling Quoting in Perl Evaluating arrays Understanding qw( ) Getting more out of the <> operator Read ranges of lines Using m//g in scalar context The /o modifier Working with embedded newlines Making REs more readable Perl data conversion Session: Using the Perl Library The Perl library Old-style library files Perl modules Modules bundled with Perl A selection of modules Getting modules from ActiveState Getting modules from CPAN Using Getopt::Long Session: Some Useful Tools Sending and receiving files with Net::FTP Using File::Find to search for files and directories Grabbing a Web page Some good places to find scripts Perl man pages for more information Zipping and unzipping files

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure 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 DP-203T00 Data Engineering on Microsoft Azure 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.