53 Warehouse courses delivered Live Online

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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Duration 5 Days 30 CPD hours This course is intended for Project team members & consultants Overview Set up organizational structures in Warehouse ManagementConfigure control of pick, putaway, and stock transfer activities at master data and Customizing levelIntegrate Warehouse Management into other logistics applications in SAP ERP In this course, students will set up organizational structures in the Warehouse Management System and configure control of pick, put-away, and stock transfer activities at the master data and customizing level. COURSE OUTLINE * Organizational units and master data in Warehouse Management * Configuration of the interface between Inventory Management and Warehouse Management * Batch management and quality management in the warehouse * Delivery processes using Warehouse Management * Staging components for production from the warehouse * Configuring the warehouse activity monitor as a control instrument * Inventory at storage bin level * Case study: setting up a new warehouse ADDITIONAL COURSE DETAILS: Nexus Humans SCM630 SAP Warehouse Management 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 SCM630 SAP Warehouse Management 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 5 Days 30 CPD hours This course is intended for The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Overview Create sophisticated SSIS packages for extracting, transforming, and loading data Use containers to efficiently control repetitive tasks and transactions Configure packages to dynamically adapt to environment changes Use Data Quality Services to cleanse data Successfully troubleshoot packages Create and Manage the SSIS Catalog Deploy, configure, and schedule packages Secure the SSIS Catalog SQL Server Integration Services is the Community Courseware version of 20767CC Implementing a SQL Data Warehouse. This five-day instructor-led course is intended for IT professionals who need to learn how to use SSIS to build, deploy, maintain, and secure Integration Services projects and packages, and to use SSIS to extract, transform, and load data to and from SQL Server. This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation. Prerequisites Working knowledge of T-SQL and SQL Server Agent jobs is helpful, but not required. Basic knowledge of the Microsoft Windows operating system and its core functionality. Working knowledge of relational databases. Some experience with database design. 1 - SSIS OVERVIEW * Import/Export Wizard * Exporting Data with the Wizard * Common Import Concerns * Quality Checking Imported/Exported Data 2 - WORKING WITH SOLUTIONS AND PROJECTS * Working with SQL Server Data Tools * Understanding Solutions and Projects * Working with the Visual Studio Interface 3 - BASIC CONTROL FLOW * Working with Tasks * Understanding Precedence Constraints * Annotating Packages * Grouping Tasks * Package and Task Properties * Connection Managers * Favorite Tasks 4 - COMMON TASKS * Analysis Services Processing * Data Profiling Task * Execute Package Task * Execute Process Task * Expression Task * File System Task * FTP Task * Hadoop Task * Script Task Introduction * Send Mail Task * Web Service Task * XML Task 5 - DATA FLOW SOURCES AND DESTINATIONS * The Data Flow Task * The Data Flow SSIS Toolbox * Working with Data Sources * SSIS Data Sources * Working with Data Destinations * SSIS Data Destinations 6 - DATA FLOW TRANSFORMATIONS * Transformations * Configuring Transformations 7 - MAKING PACKAGES DYNAMIC * Features for Making Packages Dynamic * Package Parameters * Project Parameters * Variables * SQL Parameters * Expressions in Tasks * Expressions in Connection Managers * After Deployment * How It All Fits Together 8 - CONTAINERS * Sequence Containers * For Loop Containers * Foreach Loop Containers 9 - TROUBLESHOOTING AND PACKAGE RELIABILITY * Understanding MaximumErrorCount * Breakpoints * Redirecting Error Rows * Logging * Event Handlers * Using Checkpoints * Transactions 10 - DEPLOYING TO THE SSIS CATALOG * The SSIS Catalog * Deploying Projects * Working with Environments * Executing Packages in SSMS * Executing Packages from the Command Line * Deployment Model Differences 11 - INSTALLING AND ADMINISTERING SSIS * Installing SSIS * Upgrading SSIS * Managing the SSIS Catalog * Viewing Built-in SSIS Reports * Managing SSIS Logging and Operation Histories * Automating Package Execution 12 - SECURING THE SSIS CATALOG * Principals * Securables * Grantable Permissions * Granting Permissions * Configuring Proxy Accounts ADDITIONAL COURSE DETAILS: Nexus Humans 55321 SQL Server Integration Services training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 55321 SQL Server Integration Services course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for Application Consultants, Business Analysts, Program/Project Managers, System Architects Overview At the end of this course, students will be able to explain and use major features of SAP Extended Warehouse Management. This course will give you a solid fundamental and comprehensive overview of SAP Extended Warehouse Management and is a mandatory prerequisite for all other EWM courses. WAREHOUSING STRUCTURES AND MASTER DATA * Differentiating the SAP Solutions for Warehouse Management * Outlining Organizational Structures * Maintaining Master Data for SAP EWM WAREHOUSE MONITORING & PROCESSING WITH MOBILE DEVICES * Managing the Warehouse * Outlining the Radio Frequency (RF) Framework ADDITIONAL FUNCTIONS IN SAP EWM * Applying Storage Control * Employing Serial Numbers * Processing Batches * Mapping Quality Inspection Processes * Applying Value-Added Services WAREHOUSE ORGANIZATION * Performing Slotting * Applying Replenishment Methods * Performing a Physical Inventory OPTIMIZATION OF RESOURCES * Applying Wave Management * Applying Labor Management * Executing the Production Supply Process * Executing Expected Goods Receipts Processes * Applying Cross Docking WAREHOUSE EXTENSIONS * Planning the Shipping and Receiving of Products * Controlling the Material Flow System (MFS) SAP EWM RAPID DEPLOYMENT SOLUTION * Accelerating Implementation Processes COMBINED INBOUND AND OUTBOUND PROCESSES * Executing an End-to-End Process with SAP EWM

Duration 2 Days 12 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner / Team Lead / Power User Developer Enterprise Architect Solution Architect Trainer Overview This course will prepare you to: Understand the basic concepts of SAP data warehousing Position the value-added of SAP Data Warehouse Cloud Integrate on-premise SAP Sources Model in SAP Data Warehouse Cloud Consume Data in SAP Analytics Cloud This course will prepare you to:Understand the basic concepts of SAP data warehousingPosition the value-added of SAP Data Warehouse CloudIntegrate on-premise SAP SourcesModel in SAP Data Warehouse CloudConsume Data in SAP Analytics Cloud COURSE OUTLINE * Getting started with data warehousing and the training environment * Short introduction in SAP BW Bridge and other sources * SAP Data Warehouse Cloud: * -Introducing SAP Data Warehouse Cloud * -Describing Spaces, integration options, operations and best practices * -Introducing modeling in the Data Builder * -Introducing modeling the Business Layer * Describing consumption options in SAP Analytics Cloud * Additional aspects in SAP Data Warehouse Cloud * Outlook and roadmap ADDITIONAL COURSE DETAILS: Nexus Humans DSP01 SAP Introduction to SAP Data Warehouse Cloud 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 DSP01 SAP Introduction to SAP Data Warehouse Cloud 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 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, Business Process Owners/Team Leads/Power Users, Program/Project Managers, and Users. Overview Learn how to create queries in BEx Query DesignerLearn how to use advanced query functionsLearn how to perform OLAP analysis In this course, students obtain the knowledge to create query definitions using the BEx Query Designer and to make them available for OLAP analysis. DATA WAREHOUSING * Describing Data Warehousing * Describing Data Warehouse Architecture * Using Reporting Tools NAVIGATION OPTIONS IN REPORTS * Using the Navigation Options in Reports * Saving Analysis Views SIMPLE QUERIES * Creating Simple Queries * Finding a Query * Filtering Query Definition Data * Configuring Query Properties KEY FIGURES AND STRUCTURES IN QUERIES * Creating Restricted Key Figures * Creating Calculated Key Figures * Creating a New Formula with Boolean Operators * Configuring Properties of Key Figures * Using Exception and Nested Exception Aggregation QUERIES WITH MULTIPLE STRUCTURES * Creating Structures * Resolving Formula Collision * Designing Detailed Queries with the Cell Editor CHARACTERISTICS AND HIERARCHIES IN QUERIES * Configuring the Properties of Characteristics * Running Display and Navigation Attribute Queries * Adding Hierarchies to Reports * Adding External Hierarchies to a Report * Using Hierarchies and Structures * Creating External Hierarchies VARIABLES IN QUERIES * Using Variables * Creating Characteristic Value and Text Variables in Queries * Creating Hierarchy and Hierarchy Node Variables in Queries * Creating Formula Variables in Queries * Activating Business Content Variables EXCEPTIONS AND CONDITIONS IN QUERIES * Creating Exceptions in Query Design * Creating Conditions in Query Design REPORT-REPORT INTERFACE * Using the Report-Report Interface QUERY PERFORMANCE OPTIMIZATION * Optimizing Query Performance * Configuring Query Read Mode * Use Performance Monitoring Tools QUERIES MANAGEMENT AND AUTHORIZATIONS OVERVIEW * Managing Query Objects * Describing Authorizations REPORTING OPTIONS * Outlining Reporting Options for SAP NetWeaver BW ADDITIONAL COURSE DETAILS: Nexus Humans BW305 SAP Business Warehouse Query Design and Analysis 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 BW305 SAP Business Warehouse Query Design and Analysis 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 3 Days 18 CPD hours This course is intended for This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data MODULE 1: INTRODUCTION TO DATA WAREHOUSING * Relational databases * Data warehousing concepts * The intersection of data warehousing and big data * Overview of data management in AWS * Hands-on lab 1: Introduction to Amazon Redshift MODULE 2: INTRODUCTION TO AMAZON REDSHIFT * Conceptual overview * Real-world use cases * Hands-on lab 2: Launching an Amazon Redshift cluster MODULE 3: LAUNCHING CLUSTERS * Building the cluster * Connecting to the cluster * Controlling access * Database security * Load data * Hands-on lab 3: Optimizing database schemas MODULE 4: DESIGNING THE DATABASE SCHEMA * Schemas and data types * Columnar compression * Data distribution styles * Data sorting methods MODULE 5: IDENTIFYING DATA SOURCES * Data sources overview * Amazon S3 * Amazon DynamoDB * Amazon EMR * Amazon Kinesis Data Firehose * AWS Lambda Database Loader for Amazon Redshift * Hands-on lab 4: Loading real-time data into an Amazon Redshift database MODULE 6: LOADING DATA * Preparing Data * Loading data using COPY * Data Warehousing on AWS * AWS Classroom Training * Concurrent write operations * Troubleshooting load issues * Hands-on lab 5: Loading data with the COPY command MODULE 7: WRITING QUERIES AND TUNING FOR PERFORMANCE * Amazon Redshift SQL * User-Defined Functions (UDFs) * Factors that affect query performance * The EXPLAIN command and query plans * Workload Management (WLM) * Hands-on lab 6: Configuring workload management MODULE 8: AMAZON REDSHIFT SPECTRUM * Amazon Redshift Spectrum * Configuring data for Amazon Redshift Spectrum * Amazon Redshift Spectrum Queries * Hands-on lab 7: Using Amazon Redshift Spectrum MODULE 9: MAINTAINING CLUSTERS * Audit logging * Performance monitoring * Events and notifications * Lab 8: Auditing and monitoring clusters * Resizing clusters * Backing up and restoring clusters * Resource tagging and limits and constraints * Hands-on lab 9: Backing up, restoring and resizing clusters MODULE 10: ANALYZING AND VISUALIZING DATA * Power of visualizations * Building dashboards * Amazon QuickSight editions and feature

ABOUT THIS VIRTUAL INSTRUCTOR LED TRAINING (VILT)  Accredited by the United Kingdom Lubricants Association (UKLA), this 4 half-day Virtual Instructor Led Training (VILT) course will provide an in-depth understanding of the principles, economics and flexibility of lubricant blending plants and how to operate a lubricants blending plant efficiently and economically. The latest developments and trends in lubricant blending and the advantages and disadvantages of lubricant blending equipment, facilities and operations will be discussed. The importance of testing components and products for each blend, lubricant blend quality control and product quality management will also be explained. The VILT course will also clarify the importance of lubricant product filling, packaging and warehouse storage, strategies for optimising existing lubricant blending plant facilities and how to avoid or minimise problems with lubricant blending and product quality. The VILT course is recognised under the UKLA Continuing Professional Development (CPD) scheme for Registered Lubricant Professional. *There will be an examination for this VILT.   Training Objectives This VILT course will enable you to: * Learn about Mineral Oil Base Oils; API Groups I, II and III: Properties and Characteristics * Acquire the knowledge about Synthetic Base Oils; API Groups IV and V: Properties and Characteristics * Learn about Lubricant Additives: Properties and Characteristics * Know the Lubricant Formulation and Ease of Blending * Explore the Blending Plant Design: Grassroots Plants and Upgrading Existing Plants * Learn about Blending Plant Equipment and Facilities and Their Operation * Understand the Lubricant Blending Issues: Avoiding Problems * Test and Analyse Base Oils and Additives * Test and Analyse Blended Lubricants * Explore the importance of Product Quality Control * Understand the process of Lubricant Packaging and Filling * Understand the process of Lubricant Storage * Learn about Product Quality Management Target Audience This VILT course will be useful and applicable for: * Middle and Senior managers to understand how and why to design and operate an efficient and profitable lubricant blending plant. * Blending plant operators and specialists to improve and optimise current blending plant operations. * Manufacturers of lubricants will understand how and why high quality components and effective testing during the entire blending process are important to final lubricant product quality and performance. * Lubricant formulators will understand the importance of close communication and co-operation with blending plant managers and operators to minimise blending costs and to thereby maximise product profitability. Course Level * Intermediate Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). Trainer Your expert course leader (CChem, MRC) has worked as Sales, Technical Marketing Manager and Company Director with over 50 years of broad experience in the lubricants, fuels, petroleum additives, with four leading companies Chevron, Ethyl Petroleum Additives Ltd, Texaco Limited and Kuwait Petroleum (GB) Ltd. His major recent responsibilities have been concerned with leading the Oil Industry Association United Kingdom Lubricants Association, and acting in an advisory capacity as Technical Director to the Association. He has acquired a wide experience in technical, marketing and sales within the oil industry. The related experience gained with the oil additives industry has provided him with special additional insights. He has also led the Certificate of Lubricant Competence course for the United Kingdom Lubricants Association (UKLA) for 11 years. He is a Chartered Chemist and a Member of the Royal Society of Chemistry. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations

Why choose SketchUp Training Course for Interior Designers and Architects? Course info [https://www.londondesigntrainingcourse.co.uk/product-page/sketchup-training-course-for-interior-designers-and-architects] During this training course, you will begin with an introduction to SketchUp, exploring its interface, fundamental concepts, including design tools, component, color and texture, and importing from 3D Warehouse related to interior design. Duration: 6 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. Advantages of SketchUp: * Intuitive and Fast: Compared to other 3D modeling software, SketchUp is simple, fast, and easy to use. * Quick Learning Curve: Within a few hours, users can create simple models and get started with SketchUp. * Efficient Modeling: SketchUp allows for the creation of models with fewer faces, optimizing performance. * Versatility: Its non-parametric modeling principle makes SketchUp suitable for various applications. * Rich Component Library: Access a vast collection of free components in the 3D Warehouse. * Extensive Plugins: Benefit from numerous free plugins. Interior Designers' SketchUp Training Course Course Duration: 6 hours I. Introduction to SketchUp (1 hour) * Overview of SketchUp for interior design * Familiarization with the interface and essential tools * Navigating the 3D environment efficiently * Project creation and management II. Creating Floor Plans (1 hour) * Importing and drawing floor plans accurately * Wall, window, and door precision * Effective floor level management * Organizing designs with Layers and Scenes III. Furniture and Fixtures (2 hours) * Accessing 3D Warehouse for furniture and fixtures * Crafting custom elements for unique designs * Strategic arrangement within the space * Materials and textures customization IV. Advanced Modeling (1 hour) * Utilizing advanced tools for intricate 3D models * Organizing models with groups and components * Adding details and finishes for high-quality design V. 3D Visualization (1 hour) * Creating immersive 3D models * Applying textures to walls, floors, ceilings * Mastering rendering for realistic presentations VI. Importing and Exporting (30 minutes) * Seamless collaboration with other software * File formats and compatibility understanding * Preparing models for 3D printing VII. Conclusion and Next Steps (30 minutes) * Comprehensive review and key takeaways * Further learning resources and improvement avenues * Interactive Q&A and feedback collection SketchUp - SketchUp trial https://www.sketchup.com [https://www.sketchup.com/] Unlock Your Design's Full Potential With SketchUp's Powerful 3D Software. VR Model Viewing. Free Trial Available. Secure Payment Options. Types: SketchUp Go, SketchUp Pro.