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Duration 2 Days 12 CPD hours This course is intended for This training is ideally suited for data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities. It will also benefit system administrators and data engineers who wish to harness Elastic Stack's functionalities for efficient system logging, monitoring, and robust data visualization. With a focus on practical application, this course is perfect for those aspiring to solve complex data challenges in real-time environments across diverse industry verticals. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll explore: New features and updates introduced in Elastic Stack 7.0 Fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana Useful tips for using Elastic Cloud and deploying Elastic Stack in production environments How to install and configure an Elasticsearch architecture How to solve the full-text search problem with Elasticsearch Powerful analytics capabilities through aggregations using Elasticsearch How to build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis How to create interactive dashboards for effective storytelling with your data using Kibana How to secure, monitor and use Elastic Stack's alerting and reporting capabilities The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. Geared for experienced data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities, Working with Elasticsearch will explore how to use Elastic Stack and Elasticsearch efficiently to build powerful real-time data processing applications. Throughout the two-day hands-on course, you?ll explore the power of this robust toolset that enables advanced distributed search, analytics, logging, and visualization of data, enabled by new features in Elastic Stack 7.0. You?ll delve into the core functionalities of Elastic Stack, understanding the role of each component in constructing potent real-time data processing applications. You?ll gain proficiency in Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for compelling data visualization. You?ll also explore the art of crafting custom plugins using Kibana and Beats, and familiarize yourself with Elastic X-Pack, a vital extension for effective security and monitoring. The course also covers essentials like Elasticsearch architecture, solving full-text search problems, data pipeline building, and creating interactive Kibana dashboards. Learn how to deploy Elastic Stack in production environments and explore the powerful analytics capabilities offered through Elasticsearch aggregations. The course will also touch upon securing, monitoring, and utilizing Elastic Stack's alerting and reporting capabilities. Hands-on labs, captivating demonstrations, and interactive group activities enrich your learning journey throughout the course. Introducing Elastic Stack What is Elasticsearch, and why use it? Exploring the components of the Elastic Stack Use cases of Elastic Stack Downloading and installing Getting Started with Elasticsearch Using the Kibana Console UI Core concepts of Elasticsearch CRUD operations Creating indexes and taking control of mapping REST API overview Searching - What is Relevant The basics of text analysis Searching from structured data Searching from the full text Writing compound queries Modeling relationships Analytics with Elasticsearch The basics of aggregations Preparing data for analysis Metric aggregations Bucket aggregations Pipeline aggregations Substantial Lab and Case Study Analyzing Log Data Log analysis challenges Using Logstash The Logstash architecture Overview of Logstash plugins Ingest node Visualizing Data with Kibana Downloading and installing Kibana Preparing data Kibana UI Timelion Using plugins

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

Duration 2 Days 12 CPD hours This course is intended for This basic course is for everyone needing to write, support, or understand SQL queries. This includes but is not limited to end-users, programmers, application designers, database administrators, and system administrators who do not yet have knowledge of Overview Code SQL statements to retrieve data from a DB2 or Informix table, including the SELECT, FROM, WHERE, GROUP BY, HAVING and ORDER BY clauses Code inner joins and non-correlated subqueries Use SQL arithmetic operations Use scalar and column functions Use UNION and UNION ALL INSERT, UPDATE and DELETE rows Code simple CREATE TABLE and CREATE VIEW statements This course is appropriate for customers working in all DB2 environments, that is, z/OS, VM/VSE, iSeries, Linux, UNIX, and Windows. It is also appropriate for customers working in an Informix environment. Outline Introduction Simple SQL Queries Retrieving Data from Multiple Tables Scalar Functions and Arithmetic Column Functions and Grouping UNION and UNION ALL Using Subqueries Maintaining data

CCHRC has been specially designed to provide training for anyone who has functional responsibility for controlling health risks on a construction site, such as site supervisors and site managers.

Duration 4.5 Days 27 CPD hours This course shows you how to configure IBM Datacap and its components on a multi-system setup. You also learn about IBM Datacap Navigator configuration, system administration, and maintenance.

Duration 3 Days 18 CPD hours This course is intended for In order to be successful in this class, incoming attendees are required to have current, hands-on experience in developing basic web applications, and be versed in HTML5, CSS3 and JavaScript. This is an introductory level Angular development course but an intermediate level web development class, designed for experienced web developers that need to further extend their skills in web development Overview Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn to: What Angular is and why should you use it How Angular reduces the amount of code that you must write to add rich functionality to both existing and new web pages What TypeScript is, why it is useful, and how to use it with Angular How to facilitate development and deployment using Angular CLI How to work with the various aspects of the Angular architecture to implement clean, responsive web interfaces How Routers can support navigation within a Single Page Application What the best practices are for using Angular so that it works unobtrusively and performs well How to use Angular with HTTP to support JSON, REST, and other services Best practices for Angular so that it works unobtrusively and performs well Angular is one of the most popular JavaScript frameworks for creating web and native mobile applications. This introductory course thoroughly explores the latest Angular features and advances, demonstrating how to solve the traditional challenges of JavaScript web application development. You will build custom components, using application routes, form validation, and unit-testing and delve into component-driven development with Angular components. Angular Overview Overview of Angular Architecture Getting Started with Angular Getting Started with TypeScript Bootstrapping with Angular CLI Angular Project Structure Unit Testing with Angular Testing and Angular Working with Angular Components and Events Third Party Libraries Dynamic Views Pipes Angular Forms Forms and the Forms API Single Page Applications and Routes Single Page Applications Services and Dependency Injection Modules Using RESTful Services Overview of REST Angular and REST Angular Best Practices Angular Style Guide What is New in Angular 9 Additional Topics (Time Permitting) Lesson: ES6+ Sass and SCSS for Angular and Material

English courses for all levels are available through Mac International

Miss Date Doctor workplace counselling services will provide services for your employees and support them with their relationship and life problems. We have a team of highly experienced and qualified professionals. The team is CPD, ICF, UKCP and BACP accredited. The M.D.D team consists of life coaches, counsellors and therapists. We offer three different packages for employers dependant on the size of your workforce. We are the most modern coaching and counselling platform in the UK. The workplace counselling services we offer have been tailored specifically to modern times and are very objective-driven and problem-solving based. We aim to give your employees the support they need whenever they need it. Call 03333443853 or email:enquiries@relationshipsmdd.com to get the solutions you need for your employees today. https://relationshipsmdd.com/workplace-counselling-services/

Introduction to Diabetes (2-Day Course) - Norfolk ICB OnlyThis course is for those from the Norfolk ICB only using the unique booking code. Applicants not using this code nor Identifying themselves as Norfolk ICB employees will not be able to attend.Course Description:These two days of comprehensive training are designed for nurses, nurse associates, pharmacists, paramedics, and other Allied Healthcare Professionals (AHPs), and experienced healthcare assistants (HCAs) who are new to or fairly new to the field of diabetes care. If you've recently started seeing patients with diabetes, or are planning to; this course is tailored to provide you with the fundamental knowledge and skills required to confidently care for individuals with diabetes. The primary focus is on adults with Type 2 diabetes, although key recommendations and signposting for patients with Type 1 diabetes will also be covered.Diabetes presents a significant healthcare challenge, costing the NHS £10 billion each year and impacting patients and their families. Primary care professionals play a pivotal role in managing the ever-increasing numbers of people diagnosed with Type 2 diabetes. Good diabetes care is crucial and aligns with national and local policies supported by robust NICE guidance.These interactive days of learning will incorporate various methods, including case studies, to help you progress from basic knowledge to a more confident and positive approach in reviewing and managing patients with diabetes. 2 Day Introduction to diabetes management in primary care (This is intended to provide an overview the programme may change slightly) DAY ONE 09.15 Coffee and registration 09.30 Introduction and course objectives 09.45 Setting the scene - screening, diagnosis, prediabetes, patho-physiology and symptoms, remission in Type 2 diabetes 10.45 Coffee 11.00 Type 1 Vs Type 2 Diabetes 11.20 Metabolic Syndrome and Diagnostic Criteria 11.45 Diabetes Prevention Programme 12.15 Managing Diabetes in Primary Care and Supporting Lifestyle 12.30 Lunch 13.30 Pharmacological Management of Type 2 Diabetes 14.30 Methods for Monitoring Glucose 14.45 Diabetic Emergencies (hypos, HHS and DKA) 15.15 Sick Day Rules 15.30 Action plan, evaluation, and resources 15.45 Close DAY TWO 09.15 Coffee and registration 09.30 Review progress since Day 1 09.45 Macrovascular Complications 10.15 Modifiable Risk Factors leading to CVD 11.00 Coffee 11.20 Cholesterol & Hypertension Management 12.00 Microvascular Complications 12.30 Lunch 13.30 Diabetes and Emotional Wellbeing 14.30 Case Studies 15.30 Q&A, Evaluations 15.45 CloseKey Learning Outcomes for Both Days:Upon completing this course, participants will be able to:1. Explain the physiology of diabetes and differentiate between Type 1 and Type 2 diabetes.2. Discuss methods for diagnosing diabetes and provide information to individuals newly diagnosed with Type 2 diabetes.3. Describe approaches that support achieving remission in Type 2 diabetes.4. Explain basic advice related to a healthy diet, various dietary approaches, and carbohydrate awareness.5. Discuss the modes of action of commonly used non-insulin medications.6. Identify major complications that may arise in individuals with long-standing diabetes and measures to limit or prevent them.7. Describe key advice for patients regarding the recognition and appropriate treatment of hypoglycaemia.8. Discuss DVLA guidance concerning driving and diabetes.9. Explain the risks of acute hyperglycaemia and provide advice to patients on self-managing illness periods.10. Provide examples of referral pathways to other services such as weight management, secondary care, podiatry, structured education, activity, and psychological services.11. Describe the process of routine foot review and factors influencing diabetic foot risk status.12. Discuss local recommendations for the appropriate use of blood glucose and ketone monitoring.13. Explain the key components and processes of an annual diabetes review and a self-management plan.Join us for this comprehensive 2-day course via Zoom and enhance your ability to provide effective diabetes care within primary care settings.

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