34554 Courses

Duration 5 Days 30 CPD hours This course is intended for This course is designed for Collaboration engineers and administration professionals in job roles such as: Network administrator Network architect Network designer Network engineer Network manager Overview After taking this course, you should be able to: Analyze and troubleshoot SIP, H.323, and media protocols Implement time-of-day routing, call park, call pickup, and meet-me conferences in Cisco Unified Communications Manager Implement call coverage in Cisco Unified Communications Manager Configure and troubleshoot Cisco Unified Communications Manager Device Mobility Configure and troubleshoot Cisco Unified Communications Manager Extension Mobility Configure and troubleshoot Cisco Unified Communications Manager Unified Mobility Implement Cisco Unified Communications Manager Express for SIP phones Implement globalized call routing within and between Cisco Unified Communications Manager clusters Implement Media Gateway Control Protocol (MGCP) fallback and Survivable Remote Site Telephony (SRST) in Cisco Unified Communications Manager and in Cisco IOS XE gateways Implement Call Admission Control and Automated Alternate Routing (AAR) in Cisco Unified Communications Manager Implement URI calling in Cisco Unified Communications Manager for calls within a cluster and between clusters Troubleshoot multisite Cisco Unified Communications Manager deployments Implement Intercluster Lookup Service (ILS) between Cisco Unified Communications Manager clusters and enable General Data Protection Regulation (GDPR) Configure and troubleshoot Cisco Unified Border Element In this course, you will learn how to use Cisco© Unified Communications Manager features to consolidate your communications infrastructure into a scalable, portable, and secure collaboration solution. This course prepares you for the 300-815 Implementing Cisco Advanced Call Control and Mobility Services (CLACCM) concentration exam and CCNP-Collaboration certification. Course Outline Analyzing and Troubleshooting Signaling and Media Protocols Implementing Cisco Unified Communications Manager Supplemental Services Implementing Call Coverage in Cisco Unified Communications Manager Configuring and Troubleshooting Cisco Unified Communications Manager Device Mobility Configuring and Troubleshooting Cisco Unified Communications Manager Extension Mobility Configuring and Troubleshooting Cisco Unified CM Unified Mobility Implementing Cisco Unified Communications Manager Express Implementing Globalized Call Routing Implementing Remote Site Survivability Implementing Call Admission Control in Cisco Unified Communications Manager Implementing URI Calling in Cisco Unified Communications Manager Troubleshooting Multisite Cisco Unified Communications Manager Deployments Examining Global Dial Plan Replication Configuring and Troubleshooting Cisco Unified Border Element Lab outline Analyze SIP, H.323, and Media Protocols Troubleshoot SIP and Media Protocols Implement Cisco Unified Communications Manager Supplemental Services Implement Call Hunting and Call Queueing in Cisco Unified Communications Manager Configure Device Mobility Troubleshoot Cisco Unified Communications Manager Device Mobility Configure Cisco Unified Communications Manager Extension Mobility Troubleshoot Cisco Unified Communications Manager Extension Mobility Configure Cisco Unified Mobility Troubleshoot Cisco Unified Mobility Implement Endpoints in Cisco Unified Communications Manager Express Implement Endpoint Addressing and Call Routing in Cisco Unified Communications Manager Express Implement Calling Privileges in Cisco Unified Communications Manager Express Implement Hunt Groups, Call Park, and Paging in Cisco United Communications Manager Express Implement Globalized Call Routing Implement TEHO, PSTN Backup, and CoS in a Globalized Call-Routing Deployment Implement MGCP Fallback and Survivable Remote Site Telephony Implement Call Admission Control Implement a URI-Based Dial Plan for Multisite Deployments Troubleshoot Globalized Call Routing Troubleshoot Call Admission Control Implement Global Dial Plan Replication Implement Cisco Unified Border Element Troubleshoot Cisco Unified Border Element

This intensive one-day training programme has been developed to help those involved in producing specifications create high quality documents in an organised and effective way. The programme explains the primary purpose of specifications and the importance of understanding the context in which they are used. It focuses particularly on how to develop and structure content and write requirements that are clear and concise. The methods and techniques presented will provide a practical foundation course for those new to the topic whilst offering new insights to those with more experience. The objectives of the workshop are to: Review and discuss the role and purpose of specifications Present a structured approach for organising and producing specifications Explain each of the key steps involved in creating effective specifications Review some methods for assisting in defining requirements Explain how to define the scope and develop the structure for a specification Present methods to assist the writing and editing of specifications Review how specifications should be issued and controlled 1 Introduction Course objectives Review of participants' needs and objectives 2 Specifications in perspective The role and purpose of specifications The impact of specifications on commercial performance The qualities of an effective specification The five key steps of 'POWER' writing: prepare-organise-write-edit-release 3 Step 1: Preparing to write Defining the purpose the specification; integrating the specification and contract Deciding how to specify: when to specify in functional and technical terms Getting the right people involved at the right time; engaging stakeholders Applying procedures for writing, issuing and controlling specifications 4 Step 2: Organising the specification content Scoping the document: scope maps, check lists, structured brainstorming Clarifying requirements; separating needs and desires Dealing with requirements that are difficult to quantify Useful techniques: cost benefit analysis, Pareto analysis Deciding what goes where; typical contents and layout for a specification Creating and using model forms: typical sections and sub sections 5 Step 3: Writing the specification Identifying and understanding the readers needs Choosing and using the right words; dealing with jargon Important words; will, shall, must; building a glossary Using sentence structure and punctuation to best effect Understanding the impact of style, format and appearance Avoiding common causes of ambiguity; being concise and ensuring clarity 6 Step 4: Editing the specification Why editing is difficult; how to develop a personal editing strategy Key areas to review: structure, content, accuracy, clarity, style and grammar Editing tools and techniques 7 Step 5: Releasing and controlling the specification Key requirements for document issue and control Final formatting and publication issues; document approval Requirements management: managing revisions and changes 8 Course review and action planning What actions should be implemented to improve specifications? Conclusion

What will you learn in this course? Understand newspaper articles, the news and lectures and participate in discussions on a wide range of professional and specialised topics. Communicate with native speakers in all situations - everyday and formal. Deal with simple and more complex situations related to education, health system etc. Understand a wide range of simple and demanding texts and easily identify any information presented. Express yourselves spontaneously. Use language effectively for social, academic, and professional purposes. The main topics to be covered in this course are about emotions, images, mind, learning, modern life, truth & lies, technology, environment, greek culture and much more...

CORE is a professional level training company in physical theatre and acting with a solid emphasis on the classical “Theatre Apprenticeship” training model. With 30+ years experience and using proven training methods, combined with our unique mentoring approach, we develop the whole person, in order to equip our trainees to identify their God-given calling and use their gifts to impact culture and society for good. EQUIPPING YOU FOR LIFE One of our unique qualities lies in our ability to identify your strengths, regardless of your experience and training, and develop you further. You will be challenged, receive practical skills and confidence to make your next step, whether you want to take qualifications with Trinity College London, train as a teacher or get an agent as you step into the challenging world of the performing arts. Training groups are kept small to ensure individual attention and you receive a wealth of transferrable skills to equip you for life in the workplace. OUR UNIQUE APPROACH CORE's uniqueness lies in our attention to individual coaching, personal and professional development whilst maintaining a culture of excellence and rigorous discipline. We engage trainees in professional productions for on and off stage experience, and in collaborative works with other artists and musicians. Admission is by audition only (min age 16) no educational qualifications required, as admission is based on Potential, Passion and Perseverance that are essentials required to thrive in this industry and in life!

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

Duration 4 Days 24 CPD hours This course is intended for This course is best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search

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Data speaks volumes—if you know how to listen. This course offers a clever route into the world of MySQL, showing you how structured data can turn into smart decisions. Whether you're sifting through figures, building dashboards, or deciphering patterns, understanding SQL isn’t just helpful—it’s essential. You’ll be guided through the foundations of MySQL with clarity and precision, making sense of tables, queries, joins, and more—all without the fluff or confusion. Designed with the analytical mind in focus, this course shines a light on how MySQL powers insights behind the scenes in data science and analytics. It's tailored for learners who prefer clarity over jargon and structure over noise. If you're curious about how databases work and how data fuels smart outcomes, this course is your ideal stepping stone—organised, engaging and purposefully built for those who appreciate logic and clean learning paths. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Section 01: Getting Started Introduction How to get course requirements Getting started on Windows, Linux or Mac How to ask great questions FAQ's What is Source Code? Section 02: SQL Server setting up Section Introduction MySQL Server Installation Connect MySQL Server Instance MySQL Workbench overview Download and Restore Sample Database Section 03: SQL Database basics Section Introduction Overview of Databases Creating Database SQL Data Types Column Data Types on Workbench Creating Table Overview of Primary and Foreign Key Primary Key Foreign Key Creating Temporary tables EER - Enhanced Entity Relationship Diagrams Section 04: SQL DML (Data Manipulation Language) Section Introduction Insert statement Update statement Delete statement Section 05: SQL DDL (Data Definition Language) Section Introduction CREATE table statement DROP statement ALTER statement TRUNCATE statement COMMENT in query RENAME table Section 06: SQL DCL (Data Control Language) Create Database user GRANT permissions REVOKE permissions Section 07: SQL Statement Basic Section Introduction SQL Statement basic SELECT Statement SELECT DISTINCT SELECT with column headings Column AS statement DASHBOARD Analytics Section 08: Filtering Data rows SELECT WHERE Clause - theory SELECT WHERE Clause - practical Section 09: Aggregate functions for Data Analysis Sum() Min()-Max() Section 10: SQL Data Analyticstatements Order By statement SELECT TOP 3 records BETWEEN command IN operator Search Data usingLIKE cards Section 11: SQL Group by statement Section Introduction Group by - theory Data Analytics with Group By HAVING statement Section 12: JOINS Overview of Joins What are Joins Inner join Left outer join Right outer join Union CERTESIAN Product or Cross Join Query Exercise Solution for Query Exercise Section 13: SQL Constraints Section introduction Check constraint NOT NULL constraint UNIQUE constraint Section 14: Views Creating Views Data Analytic Viewsfrom multiple tables Section 15: Advanced SQL Functions Section Introduction Timestamp Extract from timestamp Mathematical scalar functions String functions Advanced functions Sub Queries SELECT with calculations Section 16: SQL Stored procedures Create stored procedure Stored procedure with parameter Drop Procedure Section 17: Import & Export data Section Introduction Import .csv file Export Data to .csv file Section 18: Backup and Restore Database Section Introduction Creating Database backup Restoring Database backup Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Learn MySQL from Scratch for Data Science and Analytics course is open to all, with no formal entry requirements. Career path Upon successful completion of The Learn MySQL from Scratch for Data Science and Analytics Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

When managers have too many decisions to make, it can have a serious impact on the speed and efficiency of the organisation. When those decisions are commercial ones, the results can wreak havoc with the bottom line. Often the problem arises when those below them or in operational areas of the organisation aren't equipped or allowed to make a decision for themselves. Issues get passed back up and that wastes time. This programme provides a solution, giving your entire team the skills to: And most importantly, they'll be able to do this in line with the broader aims and commercial objectives of the business. By the end of the programme participants will be able to: Fully appreciate the importance of effective decision-making in business Use the five-step 'Stop, Think, Act!' decision-making process Stop leaping to conclusions Really understand the situations and decisions they are dealing with Identify good options Evaluate those options Make decisions and then put them into action Apply these tools and techniques to all their decisions in future 1 Understanding the business we work in What are the critical factors in our business? What is the SWOT analysis for our business? 2 Understanding what decision-making is 3 Background Culture of 'having to be doing' To change things we have to think about it! We are paid to make decisions! 4 Recognise the opportunity to make a decision 5 The 'Stop, Think, Act!' technique 6 STOP! Recognise the opportunity to make a decision Don't leap to conclusions Get ready to think Initial questions:Is this my decision? (Do I have the authority?)Who is this going to affect? (Do they need to be included?)When do I need to make the decision? (What's the timeline?) 7 THINK! The 3 Cs - making sure we understand the decisions we have to make What is the context of this decision?What is the overall situation?Why is this decision important?What do we need to achieve?What will success look like? Do I have clarity about the decision I need to make?Can I write it down?Can I express it clearly in two sentences? What are the criteria?What are the critical commercial factors that we will use to select our options?What will we use to measure the business success? 8 ACT! Identifying options What data do I need to collect?Issues with today's overloadIdentifying what will help you Select optionsHow many options?Must match your criteriaMust achieve success'Decision compass' exercise Analyse optionsTabular methodRisk analysis (likelihood v effect)Head, heart and gut (is there any organisational history/bias that we are up against?) Making your decision Taking it to actionFirst actionsPlanning how to make it happen

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