229 Oracle courses in Irlam delivered Online

Business Intelligence for PMs and BAs Today, managers and workers need to interact differently as they face an always-more competitive environment. More and more, we see a new kind of Business Intelligence rising: the collaborative BI. It includes a combination of collaboration tools, including spanning social media and other 2.0 technologies, with online BI tools.' (Source: The datapine Blog)Business Intelligence (BI) is an emerging concept that refers to technologies, applications and practices for the collection, integration, analysis and presentation of business information. The purpose of Business Intelligence for projects is to support better business decision making for project stakeholders. By understanding and applying Business Intelligence, professionals will be better equipped to meet project KPIs and CSFs that lead to project success. In this presentation, we will: Explore and explain this emerging concept of collaborative business intelligence Discuss how BI can help improve certain aspects of decision making for projects, programs and portfolio management Cover the important trends for the adoption of business intelligence in the project life cycle Demonstrate real examples of tool combinations such as those led by Microsoft® with Power BI and Microsoft® Project

Duration 2 Days 12 CPD hours This course is intended for Data Modelers Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing a dynamic cube, and enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Dynamic Cubes Define and differentiate Dynamic Cubes Dynamic Cubes characteristics Examine Dynamic Cube requirements Examine Dynamic Cube components Examine high level architecture IBM Cognos Dynamic Query Review Dimensional Data Structures Dynamic Cubes caching Create & Design a Dynamic Cube Explore the IBM Cognos Cube Designer Review the cube development process Examine the Automatic Cube Generation Manual development overview Create dimensions Model the cube Best practice for effective modeling Deploy & Configure a Dynamic Cube Deploy a cube Explore the Estimate Hardware Requirements Identify cube management tasks Examine Query Service administration Explore Dynamic Cube properties Schedule cube actions Use the DCAdmin comment line tool Advanced Dynamic Cube Modelling Examine advanced modeling concepts Explore modeling caveats Calculated measures and members Model Relative Time Explore the Current Period property Define period aggregation rules for measures Advanced Features of Cube Designer Examine multilingual support Examine ragged hierarchies and padding members Define Parent-Child Dimensions Refresh Metadata Import Framework Manager packages Filter measures and dimensions Optimize Performance with Aggregates Identify aggregates and aggregate tables In-memory aggregates Use Aggregate Advisor to identify aggregates User defined in-memory aggregates Optimize In-Memory Aggregates automatically Aggregate Advisor recommendations Monitor Dynamic Cube performance Model aggregates (automatically vs manually) Use Slicers to define aggregation partitions Define Security Overview of Dynamic Cube security Identify security filters The Security process - Three steps Examine security scope Identify scope rules Identify roles Capabilities and access permissions Cube security deep dive Model a Virtual Cube Explore virtual cubes Create the virtual cube Explore virtual cube objects Examine virtual measures and calculated members Currency conversion using virtual cubes Security on virtual cubes Introduction to IBM Cognos Analytics Define IBM Cognos Analytics Redefined Business Intelligence Self-service Navigate to content in IBM Cognos Analytics Interact with the user interface Model data with IBM Cognos Analytics IBM Cognos Analytics components Create reports Perform self-service with analysis and Dashboards IBM Cognos Analytics architecture (high level) IBM Cognos Analytics security Package / data source relationship Create Data modules Upload files Additional course details: Nexus Humans B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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 B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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.

Unlock the power of data with our Business Intelligence and Data Mining course. Dive into the world of Business Intelligence (BI) and learn how data-driven decisions can revolutionize every aspect of a business. This course takes you through the decision-making process and the essential role of IT systems in today's business landscape. Discover the art of creating effective dashboards and master various chart types that bring data to life. Whether you're a budding entrepreneur, a business professional, or an aspiring data analyst, this course equips you with the knowledge and skills needed to harness the potential of data for strategic decision-making. Learning Outcomes Understand the fundamentals of Business Intelligence and its critical role in modern business. Explore the decision-making process and the need for robust IT systems to support it. Master the art of creating impactful dashboards and understand the principles of Balanced Scorecards (BSC). Gain expertise in data warehousing and database models. Delve into the world of Data Mining, from its stages to techniques like classification, clustering, and association rules. Why choose this Business Intelligence and Data Mining course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Business Intelligence and Data Mining course for? Aspiring entrepreneurs looking to make data-driven decisions. Business professionals seeking to enhance their strategic decision-making skills. Data enthusiasts interested in diving into the world of Business Intelligence. Students and graduates looking to specialize in data analytics. Professionals aiming to broaden their understanding of BI and Data Mining. Career path Data Analyst: £24,000 - £45,000 Business Intelligence Analyst: £26,000 - £54,000 Data Scientist: £29,000 - £70,000 Database Administrator: £25,000 - £52,000 Business Analyst: £27,000 - £55,000 IT Manager: £32,000 - £82,000 Prerequisites This Business Intelligence and Data Mining does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Business Intelligence and Data Mining was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Business Intelligence and Data Mining Module 01: What is Business Intelligence? 00:05:00 Module 02: Starting Case in understanding BI needs in diff phase of business 00:07:00 Module 03: Decision Making Process and Need of IT systems 00:20:00 Module 04: Problem Structure and Decision Support System 00:11:00 Module 05: Introduction to BI Applications 00:18:00 Module 06: Dashboard presentation systems 00:07:00 Module 07: Different Types of Charts used in 131 Dashboards 00:30:00 Module 08: Good Dashboard and BSC 00:13:00 Module 09: Examples of Bad Dashboards 1 00:07:00 Module 10: Examples of Bad Dashboards 2 00:01:00 Module 11: Process of KPI Development 00:26:00 Module 12: Overview of Data warehouse 00:08:00 Module 13: More explaining of data warehouse and steps in processing 00:09:00 Module 14: Data Warehouse Architecture -Tiers 00:18:00 Module 15: Data Warehouse - components 00:15:00 Module 16: Approach to develop data structure and Models of database 00:16:00 Module 17: Basics of Data Mining - Meaning 00:35:00 Module 18: Basics of Data Mining - Stages of DM 00:25:00 Module 19: Data Mining Technique - Classification 00:07:00 Module 20: Data mining - Clustering 00:02:00 Module 21: Data Mining - Association Rules 00:05:00 Module 22: Data Mining Applications - Banking 00:03:00 Module 23: Data Mining Applications - CRM 00:04:00 Module 24: Data Mining Applications - other industries 00:04:00 Assignment Assignment - Business Intelligence and Data Mining 00:00:00

Immerse into the intricacies of Salesforce Experience Cloud with our training course and explore building sites, Salesforce CMS, content moderation, gamification, and partner portal setups. Learn about sharing rules, dashboards, and Salesforce CMS integration with a focus on user management, social login, and Lightning Bolts.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for operators and schedulers who perform duties that are related to batch workload automation. Overview In this course, you learn how to perform the following tasks:Explain the production terminology used with IBM Workload Scheduler and its production planning processMonitor production batch workload processesManage production batch workloadCreate and modify scheduling objectsSchedule new workloadsForecast future workloadsMigrate workload definitions from test to production environmentsCreate and maintain reports about production workloads This course provides professional report authors an opportunity to learn report building techniques using relational data models. Demonstrations and exercises will illustrate and reinforce key concepts during this learning opportunity. IBM Workload Scheduler Introduction About Workload Automation IBM workload automation offerings IBM Workload Scheduler terminology Workload Scheduler user interfaces Getting started with Application Lab Getting started with the Dynamic Workload Console Connecting the console to Workload Scheduler Getting started with the command-line interfaces Using the Application Lab Interface Using the processes status overview page Managing processes Using other Application Lab functions Monitoring Workload Scheduler Production Monitoring Workload Scheduler production by using queries Using the Workload Dashboard Monitoring system status and health Monitoring plan objects Using the What-if Analysis interface Monitoring the plan graphically Managing Workload Scheduler Production Managing the scheduling environment Managing scheduling objects in the plan Creating Scheduling Objects Using the Workload Designer Creating scheduling objects Creating variables and variable tables Creating prompts and resources Creating calendars Defining jobs Scheduling, Forecasting, and Migrating Workloads Creating job streams Applying jobs to job streams Setting time and date restrictions Using advanced scheduling options Creating job stream definitions by using composer Creating and using event rules Forecasting and previewing future dates Exporting and importing scheduling definitions Using Workload Application Templates Reporting with Workload Scheduler Using reporting features Using Common Reporting with Workload Scheduler Using the batch reporting utility Using the preformatted text-based report utilities

Accelerate your Salesforce integration expertise and master SOAP, REST, BULK API, and Streaming. Gain hands-on experience with Postman and SOAP UI and set up your environment with Visual Studio Code. Tailored for developers and Salesforce certification aspirants, this course will elevate your skills technically. Enroll now to advance your career!

Big data certification for non-programmers, business analysts, testers, and SQL developers

Level 5 QLS Endorsed | 150 CPD Points| +Gifts: QLS Certificate + PDF Certificate | Lifetime Access| 24/7 Learner Support

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Duration 4 Days 24 CPD hours This course is intended for Project administrators and ETL developers responsible for data extraction and transformation using DataStage. Overview Describe the uses of DataStage and the DataStage workflowDescribe the Information Server architecture and how DataStage fits within itDescribe the Information Server and DataStage deployment optionsUse the Information Server Web Console and the DataStage Administrator client to create DataStage users and to configure the DataStage environmentImport and export DataStage objects to a fileImport table definitions for sequential files and relational tablesDesign, compile, run, and monitor DataStage parallel jobsDesign jobs that read and write to sequential filesDescribe the DataStage parallel processing architectureDesign jobs that combine data using joins and lookupsDesign jobs that sort and aggregate dataImplement complex business logic using the DataStage Transformer stageDebug DataStage jobs using the DataStage PX Debugger This course enables the project administrators & developers to acquire the skills necessary to develop parallel jobs in DataStage. Students will learn to create parallel jobs that access sequential & relational data, and combine and transform the data. Course Outline Introduction to DataStage Deployment DataStage Administration Work with Metadata Create Parallel Jobs Access Sequential Data Partitioning and Collecting Algorithms Combine Data Group Processing Stages Transformer Stage Repository Functions Work with Relational Data Control Jobs