1085 Architect courses in Wetherby delivered Live Online

Zeroconf and Bonjour training course description A hands on training course focusing on Microsoft and Apple implementations of Zeroconf. The course covers all three main areas: Interface configuration, name resolution and service discovery. Hands on with Apple Bonjour and Microsoft UPnP compliment all the major theory sessions. What will you learn Explain how mDNS and LLMNR work. Explain how DNS-SD and SSDP work. Recognise the role of service discovery gateways. Zeroconf and Bonjour training course details Who will benefit: Technical staff working with Zeroconf. Developers using Zeroconf. Prerequisites: TCP/IP Foundation for engineers Duration 2 day Zeroconf and Bonjour training course contents What is Zeroconf? Zeroconf, architecture, Microsoft UPnP, Apple, Bonjour, devices, components. Home networks, enterprise networks, BYOD. Plug and play without Zeroconf DHCP, DNS, A, PTR, SRV records, DDNS. Hands on DHCP configuration. Address selection IPv4 link local addresses, IPv6 link local addresses. Hands: Addresses without DHCP. Name resolution mDNS, finding names, announcing names, .local DNS namespace, LLMNR. Hands on Names without DNS. Role of multicasting Multicast addresses, multicasts and switches, multicasts and routers. Hands on Multicasts, TTL. Service discovery DNS-SD, SRV and TXT lookups, SSDP, HTTP. Hands on Browsing for services Zeroconf in a routed environment Service Discovery gateways, configuration, service filters, DNS-LLQ, NAT-PMP. Miscellaneous Security, automatic multicast addresses, wireless auto configuration.

MRTG training course description A hands on course focusing on the installation, configuration and use of the MRTG network monitoring and graphing tools. What will you learn Install MRTG. Configure MRTG. Use MRTG to monitor networks. MRTG training course details Who will benefit: Anyone working with MRTG. Prerequisites: Total SNMP for engineers Duration 2 days MRTG training course contents What is MRTG? Network monitoring, review of SNMP. What MRTG does do, what MRTG doesn't do, MRTG architecture, MRTG components. Hands on configuring SNMP support on network devices, configuring extended SNMP support on Windows. Installing MRTG Configuring MRTG tasks, .cfg files, index.html files, running MRTG tasks, instances. Hands on Configuring and running MRTG tasks. MRTG tasks Configuring MRTG tasks, .cfg files, index.html files, running MRTG tasks, instances. Hands on Configuring and running MRTG tasks. MRTG graphs Daily, weekly, monthly, yearly, MRTG database support, RRDTOOL. Hands on MRTG graphs. Using MRTG MRTG examples, custom SNMP OIDs, using the MRTG configuration reference. Hands on MRTG examples. RRDTOOL Installing RRD database support, MRTG instances with the RRD database, RRD database structure, resizing and extending the database. Exporting database records into plain text and XML formats, on demand MRTG graphs using the database. Hands on Using MRTG with RRD database support. Alternatives to MRTG MRTG strengths and weaknesses, scalability, cricket, cacti, other SNMP tools.

Bluetooth training course description Bluetooth is used by many kids these days but is probably under-utilised in business environments. This hands on training course provides an overview of what Bluetooth is, how it works, what it can be used for and how to configure it on different devices. What will you learn Explain what Bluetooth is. Describe the Bluetooth protocol stack. Recognise the applications of Bluetooth. Configure Bluetooth. Bluetooth training course details Who will benefit: Anyone who needs to know more about Bluetooth. Prerequisites: None. Duration 2 days Bluetooth training course contents Classic Bluetooth Bluetooth overview Basics, standards, competing technologies. Bluetooth radio RF bands, power losses, frequency hopping. Bluetooth modulation PSK, DPSK, DPQSK. Bluetooth data transfer FH, TDD, FDMA, ACL, SCO, Bluetooth packets. Making connections Piconets, Scatternets, Pairing The protocol stack Baseband, Link Manager, L2CAP, SDP, GAP, RFCOMM. Profiles FTP, DUN, LAN, Synch, HDP, GOEP/OBEX etc. Security Authentication, authorisation, encryption, risks. Bluetooth Low Energy Introduction Bluetooth Smart and Bluetooth Smart Ready. BLE device types Design goals, terminology and core concepts. BLE usage models Presence detection, data broadcasting connectionless models, gateways. BLE architecture Controller, host, applications and stack splits. BLE protocol stack Link layer, HCI, L2CAP. BLE profiles GAP roles, models, procedures, security modes, data advertising. BLE security Pairing, bonding, data signing BLE applications Devices, services, profiles, peripherals

IP CCTV training course description This hands on course covers the technologies used in IP CCTV systems. The focus is not on operating or cabling but more advanced configuration and troubleshooting. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer equipment. What will you learn Install IP CCTV. Configure IP CCTV. Explain how IP CCTV protocols work. Troubleshoot IP CCTV. IP CCTV training course details Who will benefit: Technical staff working with IP CCTV. Prerequisites: None. Duration 2 days IP CCTV training course contents Introduction What is IP CCTV? Camera types, Video, Audio, two way audio, IP CCTV software. Hands on Installing IP CCTV. CCTV architecture Components, servers, storage, LANs, WANs. Centralised versus decentralised. Hands on Using IP CCTV. Ethernet What is Ethernet? Ethernet cabling, Inside versus outside, hubs, switches, PoE, VLANs. Hands on Ethernet connectivity. Wireless WiFi, other wireless solutions, 802.11, variations, frequencies, Access Points, bridges, repeaters. WEP, WPA, WPA2, Hands on WiFi Configuration Ways to configure, IP addresses, subnet mask, default gateway, DHCP, NAT, access from the Internet. Hands on CCTV configuration. How IP CCTV works TCP, UDP, IP, RTP, RTSP, SIP, PTZ, NTP, Wireshark. Port numbers. Hands on Using Wireshark to troubleshoot IP CCTV. Network issues with IP CCTV Bandwidth, video resolution, compressions, codecs, frame rates, audio. QoS. One way versus two way traffic. Hands on Analysing CCTV traffic. Security VPNs, Firewalls. Hands on CCTV through a firewall. Troubleshooting ping, tracert, arp, ipconfig, pathping, tracert. Cable issues, switch issues, WiFi issues.CCTV issues. Hands on CCTV troubleshooting. Miscellaneous Design issues, multicasting, gateways. DVR technology. Calculating storage requirements.

Ansible training course description The course focusses on the use of ansible for network devices instead of its usual server use case. The course progresses from the basics of ansible and playbooks onto using network specific modules including NAPALM. The use Jinja2 templating with ansible is also studied. Hands on sessions with ansible configuring routers and switches follow all major sections. What will you learn Automate tasks with ansible. Write ansible playbooks. Configure network devices with ansible. Troubleshoot network devices with ansible. Use ansible network modules. Use jinja2 templates with ansible. Ansible training course details Who will benefit: Network engineers. Prerequisites: TCP/IP Foundation Duration 2 days Ansible training course contents What is ansible? The language, the engine, the framework. Uses of ansible, orchestration. Hands on Installing ansible, enabling SSH on network devices. Ansible architecture How ansible 'normally' works, Agentless, SSH, ansible and Python, modules, how ansible work on network devices, Configuration management, inventories, playbooks, modules, ansible.cfg. Hands on Getting started, running ad hoc commands. Playbooks ansible-playbook, users, YAML, plays, tasks, modules. ansible-vault. Hands on Running playbooks. More playbooks Handlers, variables, environmental variables, playbook variables, inventory variables, variable scope and precedence, accessing variables, facts, ansible vault. Conditionals, wait_for. Hands on Using variables and conditions in playbooks. Inventories /etc/ansible/hosts, inventory variables, static inventories, dynamic inventories. Hands on Inventories and variables. Ansible network modules Built in modules, custom modules, return values. ansible-doc -l. connection: local, Cisco modules, Juniper module, Hands on Using modules for your network devices. Ansible templatings The template module, the assemble module, jinja2 templates, for, if else. Hands on Configuring network devices from templates. Roles and includes Dynamic includes, Handler includes, playbook includes. Roles, role parts: handlers, files, templates, cross platform roles, ansible galaxy. Hands on includes example, building roles. Ansible and NAPALM Installation, napalm-ansible, NAPALM modules: napalm_diff-yang, napalm_get_facts, napalm_install_config, napalm_parse_yang, napalm_ping, napalm_translate_yang, napalm_validate. Hands on Using NAPALM modules in ansible.

Essential EVPN training course description Ethernet VPN (E-VPN) and Provider Backbone Bridging E-VPN (PBB-EVPN) are emerging technologies providing Ethernet services over MPLS. This course studies the technologies in E-VPN/PBB-EVPN providing multi-homing, multi pathing, auto discovery, multicast, forwarding and fast convergence. What will you learn Differentiate between E-VPN and PBB-EVPN. Explain how E-VPN operates. Explain how PBB-EVPN operates. Explain how E-VPN provides: Multi homing Multi pathing Auto discovery. Essential EVPN training course details Who will benefit: Network engineers. Staff working for carriers. Prerequisites: Definitive Ethernet switching for engineers Concise MPLS for engineers Duration 2 days Essential EVPN training course contents Introduction to EVPN Network virtualization What Is network virtualization? types of virtual networks, network tunnelling, the consequences of tunnelling, packet load balancing, network interface card behaviour. maximum transmission unit, lack of visibility, VXLAN, protocols to implement the control plane, support for network virtualization technologies, merchant silicon Software, standards. The building blocks of Ethernet VPN A brief history of EVPN, architecture and protocols for traditional EVPN deployment, EVPN in the data center BGP constructs for Virtual networks, address family indicator/subsequent address family indicator, route distinguisher, route target, RD, RT, and BGP processing, route types, modifications to support EVPN over eBGP, keeping the NEXT HOP unmodified, retaining route targets, FRR support for EVPN, automatic propagation of NEXT HOP, RT/RD derivation, what Is not supported in FRR. Bridging with Ethernet VPN An overview of traditional bridging, overview of bridging with EVPN, what Ifs, why does NVE L3 get an advertisement for MACA? handling BUM packets, handling MAC moves, support for dual-attached hosts, the host-switch Interconnect, VXLAN model for dual-attached hosts, switch peering solutions, handling Link failures, duplicate multi-destination frames, ARP/ND suppression. Routing with Ethernet VPN The case for routing in EVPN, routing use cases in the data center, routing models, where is the routing performed? centralized routing, distributed routing, how routing works in EVPN, asymmetric routing, symmetric routing, VRFs in EVPN routing, summarized route announcements, BGP support for EVPN routing, comparing asymmetric and symmetric models, vendor support for EVPN routing. Configuring and administering Ethernet VPN The sample topology, configuration cases, configuring the MTU, the end first: complete FRR configurations, the Invariants: configuration for the spines, firewall, and servers, centralized routing, asymmetric distributed routing, symmetric routing, dissecting the configuration, configuring the underlay, configuring the overlay: FRR configuring the overlay: interfaces, examining an EVPN network, show running configuration, show BGP summary, show EVPN VNIs and VTEPs, identify which VTEP advertised a MAC address, comparing FRR and Cisco EVPN configurations, considerations for deploying EVPN in large networks.

LTE optimization training course description This course gives delegates an understanding of the Key Performance Indicators used within the 3G LTE (4G) network environment. We investigate the 3GPP standards for KPIs (including TR 32.814, TS 32.410 & TS 32.455) these cover GERAN, UMTS & LTE environments. The course details the optimisation procedures and the use of Self optimisation, Selforganising & Self-healing equipment now being deployed across all releases of mobile networks. 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 optimization training course details Who will benefit: Anyone working with LTE. Prerequisites: Essential LTE Duration 2 days LTE optimization training course contents Introduction to the cellular environment The architecture, 2G (GSM), GPRS/EDGE, The NGMN (Next Generation Mobile Network), media gateway controller, 3GPP Rel99 the 3G introduction, HSPA deployments, 3G LTE (4G). Cellular network procedures GSM/GPRS call setup, GPRS data call setup, 3G UMTS data call setup, Data call (Voice over LTE) in LTE (using IMS), Circuit Switched Fall Back (CSFB) in LTE, IP packet session in LTE. Introduction to the standards The 3GPP specifications body, The numbering structure for KPIs, 2G KPIs, 3G/UMTS KPIs, 3G LTE KPIs, IMS KPIs. Introduction to the KPI definitions KPI definitions, accessibility KPIs, retainability KPIs, mobility KPIs, utilisation KPIs. In-depth overview of the air Interfaces GSM/GPRS FDMA & TDMA solution, 3G UMTS WCDMA solution, HSPA+ sharing spare power (Codes), The 3G LTE uplink & downlink interface explained, Initial attach procedures explained. Problem analysis Reference Signal Received Power (RSRP), Signal to Interference Noise Ratio (SINR), handover success rates, power adjustments, classification of coverage problems, weak coverage & coverage holes, lack of dominant cells, cross coverage, improper tilt settings, uplink/downlink imbalance, signal quality, Azimuths & tilts to reduce interference, Handover failure due to interference, Service drop causes. Mobile RF performance in 2G/3G Performance counters, KPIs, testing & measurement, Drive testing and survey, Data collection and post processing of data, LTE service optimization, bandwidth, poor coverage, Quality, optimization process, KPI optimization, Root Cause Analysis (RCA) applied to RF issues, optimization tools and software. Advanced LTE network planning & optimization LTE UE measurements (RSRP/RSRQ), LTE capacity planning, RF configuration parameters, LTE cell selection/reselection planning, LTE radio network KPIs, LTE user-centric KPIs, LTE network performance KPIs, LTE system utilization KPIs, LTE RF channel performance predictions, LTE channel information processing, LTE channel multiplexing, Physical layer and structure, MIMO in LTE, LTE resource plan LTE and Self-Organizing Networks (SON). Radio network optimization work flow Work flow, the existing network, Optimization team establishment and cluster division, Single site verification, Alarm check, Cell state check, Radio parameters check, Site verification, Statistics analysis, Coverage problem analysis. Mobile internet and QoS issues Cellular QoS reference models. How QoS impact on KPIs and measurements, Introduction to mobile internet, The concept of shared access technologies, Support for QoS in the WCDMA environment, The PDP context model, Supporting end-to-end QoS, EPS bearer concepts, Default EPS bearer, Dedicated EPS bearer, APN-AMBR, UE-AMBR.

Duration 3 Days 18 CPD hours This course is intended for Delegates attending this course must have successfully achieved the ITIL 4 Foundation Qualification; your certificate must be presented as documentary evidence to gain admission to this course. Ideally candidates should have at least two years professional experience working in IT Service Management. The ITIL 4 HVIT Qualification would most likely suit the following delegates: Individuals continuing of their journey in service management ITSM managers and aspiring ITSM managers IT managers and practitioners involved in digital services or working in digital transformation projects, working within or towards high velocity environments Existing ITIL qualification holders wishing to develop their knowledge The above list is a suggestion only. Delegates may take as few or as many Intermediate qualifications as they require, and to suit their needs. Overview This course has been created to help IT service management practitioners working in organizations that are becoming more digitally enabled. The practitioners are familiar with traditional IT service management concepts, and now want to be able to discuss ?digital? with more confidence, to develop practical competences, and to be valued contributors in the digital domain. They want to improve how they and their co-workers: Help get customers? jobs done ? helping customers become who they seek to become Keep raising the bar ? taking things to a significantly higher level Trust and are trusted ? as professional knowledge workers in a healthy workplace Accept ambiguity and uncertainty - not scared of not knowing an answer Commit to continual learning ? all as part of their daily work The scope of the course is the primary activities in the digital value chain. In other words, what the practitioner does and which resources they use across the lifecycle of digital products, in order to: Make the right digital investments Realize and deliver digital products and services quickly Provide digital products and services that are highly resilient to disruption Ensure that the service consumer realizes value from the digital products and services Assure conformance of activities with governance, risk and compliance requirements. Understand and know how to use the key principles and methods of Organizational Change Management to direction, planning and improvement Understand and know how to use the key principles and methods of measurement and reporting in directing, planning and improvement Understand and know how to direct, plan and improve value streams and practices ITIL 4 is a framework for quality IT service management (ITSM) through proven best practice, providing practical and flexible guidance to support your organization on its journey to digital transformation while empowering your IT teams to continue to play a crucial role in the wider business strategy. This course highlights the ways in which digital organizations and digital operating models function in high-velocity environments, including the use of working practices such as Agile and Lean, and technical practices and technologies such as Cloud, Automation, and Automatic Testing. This class includes an exam voucher. Prerequisites ITIL© 4 Foundation 1 - THE NATURE OF HIGH-VELOCITY IN A DIGITAL WORLD Overview of the key ITIL 4 high-velocity terminology Understand when the transformation to high velocity IT is desirable and feasible Understand the five objectives associated with digital products ? to achieve: Valuable investments ? strategically innovative and effective application of IT Fast development - quick realization and delivery of IT services and IT-related products Resilient operations - highly resilient IT services and IT-related products Co-created value - effective interaction between service provider and consumer Assured conformance - to governance, risk and compliance (GRC) requirements. 2 - ITIL OPERATING MODEL ? DIGITAL PRODUCT LIFECYCLE Understand how high velocity IT relates to: The four dimensions of service management The ITIL service value system The service value chain The digital product lifecycle 3 - FUNDAMENTAL CONCEPTS FOR DELIVERING HVIT Understand the following concepts: Ethics Safety culture Toyota Kata Lean / Agile / Resilient / Continuous Service-dominant logic Design thinking Complexity thinking Use the principles, models and concepts to contribute to: Help get customers? jobs done Trust and be trusted Commit to performance Deal with uncertainty Improve by being inquisitive 4 - ACHIEVING VALUE WITH DIGITAL PRODUCTS Know how the service provider ensures valuable investments are achieved. Know how to use the following practices to contribute to achieving valuable investments: Portfolio management Relationship management Know how the service provider ensures fast deployment is achieved Know how to use the following practices to contribute to achieving fast deployment: Architecture management Business analysis Deployment management Service validation and testing Software development and management Know how the service provider ensures resilient operations are achieved Know how to use the following practices to contribute to achieving resilient operations: Availability management Capacity and performance management Monitoring and event management Problem management Service continuity management Infrastructure and platform management Know how the service provider ensures co-created value is achieved Know how to use the following practices to contribute to achieving co-created value with the service consumer: Relationship management Service design Service desk Know how the service provider ensures assured conformance is achieved Know how to use the following practices to contribute to achieving assured conformance: Information security management Risk management

Duration 4 Days 24 CPD hours This course is intended for The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications. This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases. Prerequisites In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses: AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Prepare to maintain SQL databases on Azure Describe Microsoft Intelligent Data Platform roles Understand SQL Server in an Azure virtual machine Design Azure SQL Database for cloud-native applications Explore Azure SQL Database Managed Instance 2 - Deploy IaaS solutions with Azure SQL Explain IaaS options to deploy SQL Server in Azure Understand hybrid scenarios Explore performance and security Explain high availability and disaster recovery options 3 - Deploy PaaS solutions with Azure SQL Explain PaaS options for deploying SQL Server in Azure Explore single SQL database Deploy SQL database elastic pool Understand SQL database hyperscale Examine SQL managed instance Describe SQL Edge 4 - Evaluate strategies for migrating to Azure SQL Understand compatibility level Understand Azure preview features Describe Azure database migration options 5 - Migrate SQL workloads to Azure SQL databases Choose the right SQL Server Instance option in Azure Migrate SQL Server to Azure SQL Database offline Migrate SQL Server to Azure SQL Database online Load and move data to Azure SQL Database 6 - Migrate SQL workloads to Azure Managed Instances Evaluate migration scenarios to SQL Database Managed Instance Migrate to SQL Database Managed Instance Load and Move data to SQL Database Managed Instance 7 - Configure database authentication and authorization Describe Active Directory and Azure Active Directory Describe authentication and identities Describe Security Principals Describe database and object permissions Identify authentication and authorization failures 8 - Protect data in-transit and at rest Explore Transparent Data Encryption Configure server and database firewall rules Explain object encryption and secure enclaves Enable encrypted connections Describe SQL injection Understand Azure Key Vault 9 - Implement compliance controls for sensitive data Explore data classification Explore server and database audit Implement Dynamic Data Masking Implement Row Level security Understand Microsoft Defender for SQL Explore Azure SQL Database Ledger Implement Azure Purview 10 - Describe performance monitoring Describe performance monitoring tools Describe critical performance metrics Establish baseline metrics Explore extended events Describe Azure SQL Insights Explore Query Performance Insight 11 - Configure SQL Server resources for optimal performance Explain how to optimize Azure storage for SQL Server virtual machines Describe virtual machine resizing Optimize database storage Control SQL Server resources 12 - Configure databases for optimal performance Explore database maintenance checks Describe database scoped configuration options Describe automatic tuning Describe intelligent query processing 13 - Explore query performance optimization Understand query plans Explain estimated and actual query plans Describe dynamic management views and functions Explore Query Store Identify problematic query plans Describe blocking and locking 14 - Evaluate performance improvements Describe wait statistics Tune and maintain indexes Understand query hints 15 - Explore performance-based design Describe normalization Choose appropriate data types Design indexes 16 - Automate deployment of database resources Describe deployment models in Azure Automate deployment by using Azure Resource Manager templates and Bicep Automate deployment by using PowerShell Automate deployment by using Azure CLI 17 - Create and manage SQL Agent jobs Create a SQL Server maintenance plan Describe task status notifications 18 - Manage Azure PaaS tasks using automation Explore Elastic jobs Understand Azure Automation Build an automation runbook Automate database workflows by using Logic Apps Monitor automated tasks 19 - Describe high availability and disaster recovery strategies Describe recovery time objective and recovery point objective Explore high availability and disaster recovery options Describe Azure high availability and disaster recovery features for Azure Virtual Machines Describe high availability and disaster recovery options for PaaS deployments Explore an IaaS high availability and disaster recovery solution Describe hybrid solutions 20 - Explore IaaS and PaaS solutions for high availability and disaster recovery Describe failover clusters in Windows Server Configure Always-on availability groups Describe temporal tables in Azure SQL Database Describe active geo-replication for Azure SQL Database Explore auto-failover groups for Azure SQL Database and Azure SQL Managed Instance 21 - Back up and restore databases Back up and restore SQL Server running on Azure virtual machines Back up a SQL Server virtual machine Back up and restore a database using Azure SQL Database Additional course details: Nexus Humans DP-300T00: Administering Microsoft Azure SQL Solutions 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-300T00: Administering Microsoft Azure SQL Solutions 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 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.