431 Database courses in London delivered Live Online

Information Management Course Overview This Information Management course provides a comprehensive understanding of the principles and practices essential for effectively managing information in today’s data-driven world. It covers core topics such as strategic planning, databases, management information systems, and the auditing of information systems. The course is designed to enhance learners' understanding of how information can be efficiently organised, secured, and utilised for decision-making within organisations. Upon completion, learners will be equipped with the skills to manage data, ensure compliance with data protection laws, and address ethical and social issues surrounding information management. This course is ideal for individuals looking to advance their knowledge in information management and pursue a career in this dynamic field. Course Description The Information Management course explores critical aspects of managing data and information systems, offering in-depth insights into the processes and tools used in modern organisations. The course covers a broad range of topics, including developing information management strategies, understanding and implementing databases, and examining management information systems (MIS) for efficient decision-making. Learners will also gain knowledge of auditing information systems to ensure accuracy, integrity, and security. The ethical, legal, and social considerations of data protection and information governance are also discussed. Throughout the course, learners will engage with key theories and practices, preparing them to apply their knowledge to various industries, ensuring organisations meet legal requirements and maximise the value of their information assets. Information Management Curriculum Module 01: Introduction to Information Management Module 02: Information Management Strategy Module 03: Databases and Information Management Module 04: Management Information Systems (MIS) Module 05: Auditing Information Systems Module 06: Ethical and Social Issues and Data Protection (See full curriculum) Who is this course for? Individuals seeking to understand the principles of information management. Professionals aiming to enhance their knowledge of information governance and security. Beginners with an interest in data management and organisational systems. Anyone looking to develop skills for improving organisational efficiency and compliance. Career Path Data Analyst Information Manager Records Manager IT Compliance Officer Data Protection Officer Information Systems Auditor

Microsoft Office Basic to Advance Course Overview The "Microsoft Office Basic to Advanced" course provides comprehensive training on the essential applications in the Microsoft Office Suite. From Excel to Word, PowerPoint, and Access, this course equips learners with the skills needed to navigate and master each program's features. Whether you are looking to improve efficiency in everyday tasks or enhance your career prospects, this course covers everything from basic functions to advanced techniques, ensuring a thorough understanding of each program's capabilities. Upon completion, learners will be proficient in using Microsoft Office applications for personal, academic, and professional purposes, enhancing productivity and employability. Course Description This course dives into all key components of the Microsoft Office suite, offering in-depth coverage of Excel, Word, PowerPoint, and Access. Starting with the fundamentals, learners will gain expertise in managing data, creating documents, designing presentations, and managing databases. The course also covers advanced topics such as complex Excel functions, detailed document formatting in Word, effective presentation techniques in PowerPoint, and data management in Access. Through a blend of engaging activities and expert guidance, learners will acquire valuable skills to increase their productivity and confidently use these programs in any professional setting. Microsoft Office Basic to Advance Curriculum Module 01: Microsoft Excel 2019 New Features Module 02: Getting Started with Microsoft Excel Module 03: Performing Calculations Module 04: Modifying a Worksheet Module 05: Formatting a Worksheet Module 06: Printing Workbooks Module 07: Managing Workbooks Module 08: Microsoft Word 2019 Module 09: Microsoft Word 2019 New Features Module 10: Getting Started with Word Module 11: Formatting Text and Paragraphs Module 12: Working More Efficiently Module 13: Managing Lists Module 14: Adding Tables Module 15: Inserting Graphic Objects Module 16: Controlling Page Appearance Module 17: Preparing to Publish a Document Module 18: Workbooks - Microsoft Word 2016 (Beginner) Module 19: Microsoft PowerPoint 2019 Module 20: Microsoft PowerPoint 2019 New Features Module 21: PowerPoint Interface Module 22: Presentation Basics Module 23: Formatting Module 24: Inserting Options Module 25: Working with Objects Module 26: Table Module 27: Charts Module 28: Review and Presentation Module 29: Microsoft Access 2019 Module 30: Microsoft Access 2019 New Features Module 31: Introduction to Access Module 32: Modify Data Module 33: Working with Queries Module 34: Access Forms Module 35: Working with Reports (See full curriculum) Who is this course for? Individuals seeking to improve their Microsoft Office skills. Professionals aiming to enhance their software proficiency for career advancement. Beginners with an interest in office administration or data management. Those wishing to upgrade their knowledge of Microsoft Office for better job opportunities. Career Path Office Administrator Data Analyst Administrative Assistant Project Manager Executive Assistant IT Support Specialist

Duration 1 Days 6 CPD hours This course is intended for This course is for employees of Sun Life who want to expand their skills when using HUE to work with SQL databases. Overview Upon successful completion of this course, students will be able to better operate HUE when interacting with SQL databases. In this course, students will learn additional skills when using HUE to interact with SQL databases. Using Subqueries to Perform Advanced Querying Search Based on Unknown Values Compare a Value with Unknown Values Search Based on the Existence of Records Generate Output Using Correlated Subqueries Filter Grouped Data Within Subqueries Perform Multiple-Level Subqueries Manipulating Table Data Insert Data Modify and Delete Data Manipulating the Table Structure Create a Table Create a Table with Constraints Modify a Table's Structure Back Up Tables Delete Tables Working with Views Create a View Manipulate Data in Views Create Aliases Modify and Delete Views Indexing Data Create Indexes Drop Indexes Managing Transactions Create Transactions Commit Transactions

Duration 5 Days 30 CPD hours This course is intended for The audience for this course includes enterprise-level messaging administrators on Exchange Server. IT generalists and helpdesk professionals who want to learn about Exchange Server may also take this course. Students taking this course are expected to have at least two years of experience working in the IT field-typically in the areas of Windows Server administration, network administration, helpdesk, or system administration. They are also expected to have some experience with Exchange Server concepts but previous experience managing Exchange Server is not a requirement. Overview After completing this course, students will be able to: Deploy Exchange Server. Plan and configure storage for Exchange Server. Create and manage various recipient objects in Exchange Server. Perform recipient management and Exchange server management tasks by using Exchange Server cmdlets. Deploy Client Access services in Exchange Server. Manage high availability in Exchange Server. Implement disaster recovery for Exchange Server. Configure and manage message transport in Exchange Server. Configure message security in Exchange Server. Monitor and troubleshoot Exchange Server. Configure Exchange Server role-based access control permissions and configure audit logging for both administrators and users. Implement and manage integration with Exchange Online. This course teaches IT professionals how to administer and support Exchange Server. The course covers how install and configure Exchange Server. It also covers how to manage mail recipients and public folders, including how to perform bulk operations by using Exchange Management Shell. In addition, the course covers how to manage client connectivity, message transport and hygiene, and highly available Exchange Server deployments. It also covers how to implement disaster recovery solutions. Finally, the course covers how to maintain and monitor an Exchange Server deployment and how to administer Exchange Online in a Office 365 deployment. Deploying Microsoft Exchange Server 2016 Overview of Exchange Server Exchange Server architecture Requirements for Exchange Server Deploying Exchange Server Exchange Server Exchange Server Management Tools Lab : Deploying Exchange Server Managing Exchange Server 2016 storage Exchange Server mailbox databases Exchange Server storage Configuring Exchange Server mailbox databases and storage Lab : Configuring Exchange Server storage Managing recipient objects Managing user mailboxes Managing other types of mailboxes Managing other recipients objects Configuring policies and address lists Lab : Managing recipient objects Lab : Configuring address lists and policies Managing recipients and Exchange servers by using Exchange Server cmdlets Overview of the Exchange Management Shell Managing Exchange Servers by using Exchange Management Shell cmdlets Managing Exchange servers by using scripts Lab : Managing Exchange Server and recipient objects by using Exchange Management Shell Implementing client connectivity Configuring client access services Managing client access services Client connectivity in Exchange Server Configuring Outlook on the web Configuring mobile messaging Lab : Configuring client access services Lab : Deploying and configuring client access services on Exchange Server Managing high availability in Exchange Server High availability on Exchange Server Configuring highly available mailbox databases Configuring high availability of Client Access services Lab : Implementing DAGs Lab : Implementing and testing high availability Implementing disaster recovery for Exchange Server Implementing Exchange Server backup Implementing Exchange Server recovery Lab : Backing up Exchange Server data Lab : Restoring Exchange Server data Configuring and managing message transport Overview of message transport Configuring message transport Managing transport rules Lab : Configuring and managing message transport Configuring message security Deploying and managing an Edge Transport server for message security Implementing an antivirus solution for Exchange Server Implementing an antispam solution for Exchange Server Lab : Configuring message security in Exchange Server Monitoring and troubleshooting Exchange Server Monitoring Exchange Server Troubleshooting Exchange Server Lab : Monitoring and troubleshooting Exchange Server Securing and maintaining Exchange Server Securing Exchange Server by using RBAC Configuring audit logging in Exchange Server Maintaining Exchange Server Lab : Securing and maintaining Exchange Server Implementing and managing Exchange Online deployments Overview of Exchange Online and Office 365 Managing Exchange Online Implementing the migration to Exchange Online Managing a hybrid environment Lab : Managing Exchange Online Additional course details: Nexus Humans 20345-1 Administering Microsoft Exchange Server 2016/2019 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 20345-1 Administering Microsoft Exchange Server 2016/2019 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 1 Days 6 CPD hours This course is intended for The student should be familiar with Excel and the concepts of datasets and basic reporting. Overview Understand and utilize Power BI Online. Understand and examine the differences between Power BI Desktop and Power BI Online. Understand and explore the Power BI Online interface. Understand and perform importing Excel worksheets, CSV, TXT, PBIX. Understand connecting to databases. Understand other forms of data. Understand data refresh. Understand and perform creating a new Power BI report. Understand and perform adding filters to a report. Understand and perform adding KPI's to a report. Understand and perform creating a Power BI dashboard. Understand and perform pinning tiles. Understand sharing reports and dashboards. Understand Power BI Mobile. This Logical Operations courseware is no longer available on the LO Store, but can be purchased by phone orderThis one-day course familiarizes the student with Power BI Online, which allows the student to intuitively discover and automate the import, transformation, and combination of data across a variety of data sources. COURSE OVERVIEW Introduction Course Materials Facilities Prerequisites What We'll Be Discussing INTRODUCTION TO POWER BI ONLINE What is Power BI Online Examining the Differences Between Power BI Desktop and Power BI Online Exploring the Power BI Online Interface IMPORTING DATA Utilizing Excel (.xlsx or .xlsm), Comma Separated Value (.csv), and Power BI Desktop (.pbix) Files Connecting to Databases Examining Other Forms of Data Understanding Data Refresh CREATING REPORTS Creating a New Power BI Report Adding Filters to a Power BI Report Adding KPI?s to a Report CONFIGURING DASHBOARDS Creating a Power BI Dashboard Pinning Tiles SHARING REPORTS AND DASHBOARDS Sharing Reports and Dashboards Exploring Power BI Mobile

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Solutions Architects and Engineers who perform cloud migrations IT Project Managers who are involved in projects related to migrating existing workloads to the AWS Cloud Overview This course is designed to teach you how to: Explain the various cloud migration strategies Assess cloud migration readiness Discover your portfolio and plan for migration Plan and design your application migration strategy Perform and validate application migration to the cloud Optimize your applications and operations after migrating to the cloud Migrating to AWS focuses on planning and migrating existing workloads to the AWS Cloud. The course covers various cloud migration strategies with a detailed discussion on each phase of the migration process, including portfolio discovery, application migration planning and design, migration execution, and post-migration validation and application optimization. This course is designed for Solutions Architects and Engineers who perform cloud migrations, have an understanding of core AWS services and design patterns covered in Architecting on AWS. This course is also available to IT project managers involved in the planning of those migrations who have completed AWS Technical Essentials Module 1: Migrating to AWS ? Overview Migration process 'Mental Model' Cloud Migration Strategies Comparing Cloud Migration Strategies Cloud Center of Excellence (CoE) Cloud Migration Readiness Assessment AWS Cloud Migration Process Group activity: Creating a high-level migration plan Module 2: Discovery and analysis Migration Process Roadmap AWS Migration Methodology AWS Application Discovery Service Portfolio Analysis Hands-on lab 1: Performing discovery Module 3: Migration planning and design (part I) AWS Migration Hub Pricing and Availability Process Group activity: Creating a detailed migration plan Module 3: Migration planning and design (continued) Application migration ordering Application prioritization criteria Defining success criteria Migration methodology Designing for migration Module 4: Migration, integration, and validation Migration considerations Data migration AWS Snow Services AWS Data Migration Service (DMS) Server migration Demonstration: Server migration service Hands-on lab 2 : Migrating databases to AWS EC2 Hands-on lab 3 : Migrating databases to Amazon Aurora Module 5: Operations and optimization On premises vs. cloud IT operations Optimizing in the AWS Cloud Case study: Optimizing an application

Duration 3 Days 18 CPD hours This course is intended for Technology Consultant System Administrator Application Consultant Overview This course will prepare you to: Set up SLT configurations, replicate data into different targets (such as SAP HANA, SAP BW or Central Finance) and monitor the data replication. In this course, you will learn how to use the trigger based real time data replication technology of the SAP LT Replication Server (SLT). SAP Landscape Replication Server Overview Explaining Positioning and Key Concepts Identifying Use Cases Understanding SLT as Part of the DMIS Product Family SAP Landscape Transformation Server Introduction Understanding the Architectural Concept Explaining the Landscape Strategy and Sizing Aspects Outlining the SLT Installation Procedure Replication to SAP HANA Setting Up Data Replication Executing Data Replication Understanding Advanced Replication Settings Outlining Operations and Monitoring Describing SLT Handling in Special Cases Replication to SAP BW Providing a Scenario Overview Explaining Open Data Provisioning (ODP) Describing Table-Based Replication Comparing Table-Based Replication and ODP Replication to SAP Data Services Explaining SAP Data Services and Architecture Describing the Setup of Replication to SAP Data Services Replication to ABAP Systems Describing the Architecture for Replication into an ABAP System Outlining the Setup for Replication into an ABAP System Replication to Non-SAP Databases Describing the Architecture for Replication to Non-SAP Databases Understanding the Setup of ABAP to Non-ABAP Replication Replication to Central Finance Describing the Architecture for Replication to Central Finance Understanding the Setup and Configuration of Replication to Central Finance SAP Landscape Transformation Replication Server Summary Providing a Summary of the SAP Landscape Transformation Replication Server SAP Landscape Transformation Replication Server 3.0 and Recent Updates Outlining SAP Landscape Transformation Replication Server 3 Updates Additional course details: Nexus Humans SAP Real-time Replication with SAP LT Replication Server (SLT100) 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 SAP Real-time Replication with SAP LT Replication Server (SLT100) 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 1 Days 6 CPD hours This course is intended for This course is intended for the following participants:Cloud professionals interested in taking the Data Engineer certification exam.Data engineering professionals interested in taking the Data Engineer certification exam. Overview This course teaches participants the following skills: Position the Professional Data Engineer Certification Provide information, tips, and advice on taking the exam Review the sample case studies Review each section of the exam covering highest-level concepts sufficient to build confidence in what is known by the candidate and indicate skill gaps/areas of study if not known by the candidate Connect candidates to appropriate target learning This course will help prospective candidates plan their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions, candidates will familiarize themselves with the domain covered by the examination, to help them devise a preparation strategy. Rehearse useful skills including exam question reasoning and case comprehension. Tips and review of topics from the Data Engineering curriculum. Understanding the Professional Data Engineer Certification Position the Professional Data Engineer certification among the offerings Distinguish between Associate and Professional Provide guidance between Professional Data Engineer and Associate Cloud Engineer Describe how the exam is administered and the exam rules Provide general advice about taking the exam Sample Case Studies for the Professional Data Engineer Exam Flowlogistic MJTelco Designing and Building (Review and preparation tips) Designing data processing systems Designing flexible data representations Designing data pipelines Designing data processing infrastructure Build and maintain data structures and databases Building and maintaining flexible data representations Building and maintaining pipelines Building and maintaining processing infrastructure Analyzing and Modeling (Review and preparation tips) Analyze data and enable machine learning Analyzing data Machine learning Machine learning model deployment Model business processes for analysis and optimization Mapping business requirements to data representations Optimizing data representations, data infrastructure performance and cost Reliability, Policy, and Security (Review and preparation tips) Design for reliability Performing quality control Assessing, troubleshooting, and improving data representation and data processing infrastructure Recovering data Visualize data and advocate policy Building (or selecting) data visualization and reporting tools Advocating policies and publishing data and reports Design for security and compliance Designing secure data infrastructure and processes Designing for legal compliance Resources and next steps Resources for learning more about designing data processing systems, data structures, and databases Resources for learning more about data analysis, machine learning, business process analysis, and optimization Resources for learning more about data visualization and policy Resources for learning more about reliability design Resources for learning more about business process analysis and optimization Resources for learning more about reliability, policies, security, and compliance Additional course details: Nexus Humans Preparing for the Professional Data Engineer Examination 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 Preparing for the Professional Data Engineer Examination 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 2 Days 12 CPD hours This course is intended for New users of IBM SPSS Statistics Users who want to refresh their knowledge about IBM SPSS Statistics Anyone who is considering purchasing IBM SPSS Statistics Overview Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables. Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders Additional course details: Nexus Humans 0G53BG IBM SPSS Statistics Essentials (V26) 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 0G53BG IBM SPSS Statistics Essentials (V26) 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 Before taking this course delegates should already be familiar with basic analytics techniques, comfortable with basic data manipulation tools such as spreadsheets and databases and already familiar with at least one programming language Overview This course teaches delegates who are already familiar with analytics techniques and at least one programming language how to effectively use the programming language for three tasks: data manipulation and preparation, statistical analysis and advanced analytics (including predictive modelling and segmentation). Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. Outcomes: After completing the course, delegates will be capable of writing production-ready R code to perform advanced analytics tasks enabling their organisations make better, data-driven decisions. Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. Topic 1 Intro to our chosen language Topic 2 Basic programming conventions Topic 3 Data structures Topic 4 Accessing data Topic 5 Descriptive statistics Topic 6 Data visualisation Topic 7 Statistical analysis Topic 8 Advanced data manipulation Topic 9 Advanced analytics ? predictive modelling Topic 10 Advanced analytics ? segmentation