42631 Learning courses in Sheffield delivered Online

Catering to the demands of busy professionals, our virtual training programs are as effective as face-to-face learning. For more queries, reach out to us: info@mangates.com

Catering to the demands of busy professionals, our virtual training programs are as effective as face-to-face learning. For more queries, reach out to us: info@mangates.com

Catering to the demands of busy professionals, our virtual training programs are as effective as face-to-face learning. For more queries, reach out to us: info@mangates.com

Catering to the demands of busy professionals, our virtual training programs are as effective as face-to-face learning. For more queries, reach out to us: info@mangates.com

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.

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Essential GEPON training course description Designed to benefit those requiring an in depth knowledge of the principles and applications of the IEEE Ten Gigabit Ethernet and Gigabit Ethernet Passive Optical Networking and Fibre to the X in NG network applications and their associated equipment, its flexibility and function within a modern transmission network. Using an effective mix of instruction and correlation to theory based learning the delegate will gain a complete understanding of the equipment and the tasks to be undertaken in a real life situation. What will you learn Compare FTTx networks. Compare PON variants. Recognise the GEPON architecture. Explain how GEPON works. Recognise GEPON issues. Essential GEPON training course details Who will benefit: Anyone requiring GEPON knowledge. Prerequisites: Introduction to data communications and networking. Duration 2 days Essential GEPON training course contents FTTN, FTTC, FTTH Single Mode Fibre (SMF) and various types, Multimode Fibre (MMF), Fibre Safety and properties (Dispersion/attenuation), Fibre Reel cables and types, Fibre installation and air blown fibre, Transmitters and receivers - power budget/laser classes, Fibre to the home (FTTH), FTTC (Fibre to the Cabinet), FTTN (Fibre to the node), FTTD (Fibre to the Desk), FFTH Topologies and wavelengths, Active or Passive Optical Network (PON). WDM equipment and GPON OSP design Wavelength considerations, WDM/DWDM/CWDM EDFA optical amplification, AWG (Arrayed Waveguide Grating) splitters, Couplers (splitters) and losses, Optical splitters 1x2, 1x4, 1x8, 1x16, 1x32, 1x64, 2x64. IEEE PON variants Gigabit Ethernet Passive Optical Network (GEPON), Time Division PON (TDM-PON), Wave Division Multiplexing PON (WDM-PON), 1Gbps, 10Gbps, 40Ggps, 100Gbps, Strategies for TDM-PON to WDM-PON migration, Architecture of NG-PON (hybrid WDM/TDM PON), Additional services than triple play. GEPON design GEPON OSP centralized design, GEPON OSP distributed design, GEPON PON splitters x4 x8 x32, Fibre splice trays / fibre cassette trays / fibre enclosures, GEPON field testing /GEPON field installation verification, GEPON physical layer testing, Optical Time Domain Reflectometer (OTDR), Optical power source /Optical power meter, Optical Return Loss (ORL), APON/BPON/GPON/EPON/GEPON/10-GEPON comparison. IEEE 802.3ah GEPON: Ethernet in the first mile IEEE 802.3 options, Optical Ethernet options, Ethernet in the first mile, 1000BASE-LX, 1000BASE-SX, IEEE 802.1Q VLANs, Q-in-Q and MAC-in-MAC. QofS Ethernet TOS and priority methods PCP and DiffServe, Reference model / terminology / architecture, Example of ONT functional blocks, Example of OLT functional blocks, FTTx scenarios, The four switching arrangements for external access network backup. IEEE 802.3av 10-GEPON Physical layer, 10GBASE-SR, 10GBASE-LX4, 10GBASE-ER, 10GBASE-LR, 10GBASESW, 10GBASE-LW, 10GBASE-EW, Enhancement band, Bit rate and wavelengths, Compatibility, Forward error correction. IEEE 802.3ca 25G, 50G and 100G NG-EPON MAC frame structure, Downstream multiplexing / Upstream multiplexing, Media access control and ONU registration, Alarm messages. IEEE 802.3bk extended EPON Laser Types PRX40 and PR40, Reference model. GEPON issues and standards GEPON components OLT / GEPON ONT and examples GEPON management, RG (Residential Gateway), HPNA (Home Phone Network Alliance), Power Line Carrier (PLC), GPON DLNI, G.hn or G.9960 MOCA, FTTH Council certification, Standard for network certification, Qualify for use of the fibre-connected home badge, GEPON frame synchronization to network timing, Direct clock synchronization interface (BITS), Multiservice Access Platform (MSAP), Software planning tool. Superconnected cities / voucher scheme. Ethernet OAM Link monitoring, remote failure indication, Remote loopback.

Level 7 Diploma In International Business Law Pathway To LLM International Business Law Level 7 Diploma in International Business Law (QCF) – 6 - 8 Months Credits: 120 Credits The objectives of the OTHM Level 7 Diploma in International Business Law qualification are to enable learners to gain knowledge and understanding of various branches of law, develop an analytical and critical approach to the application of the UK and International legal principles and understand the appropriateness of dealing with certain aspects of behaviour within the law.The qualification provides learners with an understanding of law in the context of business to equip them with the abilities needed to work with advanced issues.By the end of the qualification, learners will be able to: To understand a range of subjects in international business law. Develop an understanding of legal frameworks that govern international business transactions within the industry. Demonstrate an understanding of commercial trust law, company law, international trade law, intellectual property law, and the law of financial crimes. Develop research skills and have the ability to write on key areas in law. This programme is a Pathway programme to L.L.M Degree Accreditation All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. University Progression University Top-up Upon completion of this course, students have the opportunity to complete a Master's degree programme from a range of UK universities. The top-up programme can be studied online or on campus. The top-up comprises the final 60 credits which consist of either a dissertation or a dissertation and one module. (The course tuition fee listed above does NOT include the top-up fees) University Progression Click here to see University routes and fee information for progression. Entry Requirements For entry onto the Level 7 Diploma in International Business Law leading to L.L.M qualification, learners must possess: An honours degree in a related subject or the UK level 6 diploma or equivalent overseas qualification i.e. Bachelors Degree or Higher National Diploma OR Mature learners (over 25) with at least 5 years of management experience if they do not possess the above qualification (this is reviewed on a case by case basis) Workshops Workshops are conducted by live webinars for all students. Visa Requirements There is no Visa requirement for this programme.

Level 7 Diploma In Accounting & Finance - Pathway To MSc Accounting & Finance Degree Level 7 Diploma in Accounting & Finance (QCF) – 6 - 8 Months Credits: 120 Credits This qualification is designed for learners who wish to pursue a career in the financial services industry, professional accountancy, banking, and finance or management. The qualification equips learners with the essential skills and knowledge needed to pursue high-level careers in all types of organizations in the public and private sector and within industry and commerce, both in the UK and abroad. The Level 7 Diploma in Accounting and Finance qualification also provides learners with the opportunity to work toward a relevant master’s programme with advanced standing. This programme is a Pathway programme to MSc Accounting & Finance Degree  Course Details Assessment: Assignments Objectives: contemporary and specialized approaches to accountancy and finance key practical, theoretical and empirical issues, and academic research the complexity of the ever-changing legal framework in which the financial sector operates the latest developments in accountancy and reporting required by local, national and European governments. Accreditation All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. University Progression University Top-up On completion of this course, students have the opportunity to complete a Master degree programme from a range of UK universities. The top-up programme can be studied online or on campus. The top-up comprises the final 60 credits which consist of either a dissertation or a dissertation and one module. (The course tuition fee listed above does NOT include the top-up fees) University Progression Click here to see University routes and fee information for progression. Entry Requirements For entry onto the Level 7 Diploma in Human Resource Management leading to the MA Human Resource Management qualification, learners must possess: An honours degree in related subject or UK level 6 diploma or equivalent overseas qualification i.e. Bachelors Degree or Higher National Diploma OR Mature learners (over 25) with at least 5 years of management experience if they do not possess the above qualification (this is reviewed on a case by case basis) Workshops Workshops are conducted by live webinars for all students. Visa Requirements There is no Visa requirement for this programme.