37234 RES courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for This is an introductory-level XML training course, designed for those needing an introduction to concepts and technologies associated with XML and its related recommendations. Previous experience or knowledge of HTML is helpful but not essential. Overview This course is an intensive, hands-on introduction to XML, XPath, and XSLT. The course is a balanced mixture of theory and practical labs designed to take students from the basic fundamentals of XML through to the related advanced technologies. The students walk through the different standards in a structured manner to enable them to master the concepts and ideas, which are reinforced in the lab exercises. The course starts with the fundamentals of XML, including coverage of DTDs and XML Schema. It then moves on to the XPath and XSLT standards, and how to use them to transform XML documents into other documents such as HTML documents or other XML documents. This course provides indoctrination in the practical use of W3C standards (including XSL and XML Schema) and of implementing tools and technologies. This course is programming language independent, making it useful for Java, .NET, C++, and any other programming orientation. Graduates will hit the ground running, applying XML to projects at both an architectural as well as a line by line coding level. We can easily adapt this course to industry and client specific needs.In addition to valuable knowledge and working examples, students receive a copy of the 'Xtensil' product. This unique software was developed to assist in implementing, testing, and fielding XML applications. Xtensil is used as both a teaching aid and a straightforward, basic, fully functional XML toolkit that students can use on Windows and Linux platforms. Working in a hands-on learning environment student will learn to: Write well-formed XML documents Model business requirements using XML Handle XML reserved characters Validate an XML document with a DTD and with a Schema Centralize data and markup definition with entities Create DTDs and Schemas using XML tools Generate XML documents from databases Write XSL templates to transform XML documents into HTML Integrate XML, XSL and the DOM to implement a complete solution The Extensible Markup Language (XML) is a standard that is enabling a revolution in web applications and business to business interactions. XML is the basis for Wireless Markup Language (WML), Voice Markup Language (VoiceML), Simple Object Access Protocol (SOAP), Web Services, and numerous industry initiatives such as ACORD (insurance), PXML (proposal/RFP) and OTA (travel). Introduction to XML is a three-day, hands-on course geared for software developers who need to understand what XML is and how to use in with today's systems and architectures. This course covers the topics from tags to architectures. The course is a balanced mixture of theory and practical labs designed to take students from a quick review of the basic fundamentals of XML through to the related advanced technologies. The students walk through the different standards in a structured manner to enable them to master the concepts and ideas, which are reinforced in the lab exercises. The course starts with a quick review of the fundamentals of XML before covering XML Schema in detail. It then moves on to the XPath and XSLT covering advanced topics in both. Finally, XML and Web Services security mechanisms and issues are addressed. XML Content Introduction to XML XML Mechanics XML Structure Namespaces Structure Using Schemas XML Formatting CSS and Rendering XML XSL Transformations XSLT and XPath XPath 2.0 and XSLT 2.0 Overview XSL FO (Formatting Objects) Applying XML XML Interoperability XML Performance Improvements Web Services Overview XML Applications Additional course details: Nexus Humans Introduction to XML (TT4300) 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 Introduction to XML (TT4300) 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 Anyone who'd like to learn Adobe Premiere Pro CC Those that plan to take the Adobe Certfied Expert (ACE) exam Overview Introduction to Premiere Pro CC will allow you to learn powerful real-time video and audio editing tools that give you precise control over virtually every aspect of your production. In this three-day course, you?ll get a thorough overview of the interface, tools, features, and production flow for Premiere Pro CC. The course is an ideal combination of instructor-led demonstration and hands-on practice to introduce you to Adobe Premiere Pro software, a revolutionary 64-bit nonlinear video-editing application. You will learn powerful real-time video and audio editing tools that give you precise control over virtually every aspect of your production. Touring Adobe Premiere Pro CC Nonlinear editing in Adobe Premiere Pro Expanding the workflow Touring the Adobe Premiere Pro interface Setting up a Project Setting up a project Setting up a sequence Importing Media Importing assets Working with the Media Browser Importing images The media cache Capturing the videotape Organizing Media The Project panel Working with bins Organizing media with content analysis Monitoring footage Modifying clips Essentials of Video Editing Using the Source Monitor Navigating the Timeline Essential editing commands Working with Clips and Markers Program Monitor controls Controlling resolution Using markers Using Sync Lock and Track Lock Finding gaps in the Timeline Moving clips Extracting and deleting segments Adding Transitions What are transitions? Edit points and handles Adding video transitions Using A/B mode to fine-tune a transition Adding audio transitions Advanced Editing Techniques Four-point editing Retiming clips Replacing clips and footage Nesting sequences Regular trimming Advanced trimming Trimming in the Program Monitor panel Putting Clips in Motion Adjusting the Motion effect Changing clip position, size, and rotation Working with keyframe interpolation Using other motion-related effects Multi-camera Editing The multi-camera process Creating a multi-camera sequence Switching multiple cameras Finalizing multi-camera editing Additional multi-camera editing tips Editing and Mixing Audio Setting up the interface to work with audio Examining audio characteristics Adjusting audio volume Adjusting audio gain Normalizing audio Creating a split edit Adjusting audio levels in a sequence Working with the Audio Mixer Sweetening Sound Sweetening sound with audio effects Adjusting EQ Applying effects in the Audio Mixer Cleaning up noisy audio Adding Video Effects Working with effects Keyframing effects Effects presets Frequently used effects Color Correction and Grading Color-oriented workflow An overview of color-oriented effects Fixing exposure problems Fixing color balance Specials color effects Creating a look Exploring Compositing Techniques What is an alpha channel? Using compositing in your projects Working with the Opacity effect Working with alpha-channel transparencies Color keying a greenscreen shot Using mattes Creating Titles An overview of the Titler window Video typography essentials Creating titles Stylizing text Working with shapes and logos Making text roll and crawl Managing Your Projects The File menu Using the Project Manager Final project managment steps Importing projects or sequences Managing collaboration Managing your hard drives Exporting Frames, Clips, and Sequences Overview of export options Exporting single frames Exporting a master copy Working with Adobe Media Encoder Exchanging with other editing applications Recording to tape Additional course details: Nexus Humans Introduction to Premiere Pro CC 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 Introduction to Premiere Pro CC 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 as follows - IT Staff and Managers - Network and systems personnel and engineers - Small to mid-sized organizations that require fundamental knowledge on networking terms/concepts and configuration guidance for Meraki equipment This also includes organizations looking to implement remote sites, provide a guest wireless solution, and collect user analytics Overview Upon completing this course, the student will be able to meet these objectives: Students will be able to Deploy and Manage a Meraki Network using the Meraki Dashboard - Deploy, Manage, Monitor and Troubleshoot Meraki MS Switches - Deploy, Manage, Monitor and Troubleshoot Meraki MR Wireless Access Points - Deploy, Manage, Monitor and Troubleshoot Meraki MX Firewall Appliances - Deploy, Manage, Monitor and Troubleshoot Meraki MV IP Video Cameras - Deploy, Manage, Monitor and Troubleshoot Meraki MC Phones - Deploy, Manage, Monitor and Troubleshoot Meraki Systems Manager - Deploy, Manage, Monitor and Troubleshoot Meraki SDWAN This course familiarizes individuals with networking concepts and demonstrates how to effectively use Meraki products to build a comprehensive network Cisco/Meraki Product Line Introduction MS - Switching MR - Wireless LAN MX - Security MV ? Camera MC - Voice SD-WAN Cisco/Meraki Cloud Management Introduction to cloud management The dashboard and navigation Organizations & Networks ? what is the difference and how to use them System-wide parameters (organization parameters) Cisco/Meraki Dashboard Administration Creating and implementing maps Summary Report and Auto Generation Reports Adding administrators and tweaking security levels Using Tags and Configuring Alerting (SNMP, email) Adding admins, configuring reports, and alerts Firmware Management Configuring Authentication Lab 1 Lab 2 Configuring external authentication Configuring Group Policies Device Replacement Location Analytics Other advanced analytics Cisco/Meraki Switching Review switching basics Review Meraki L2 Switch Models Configuring Meraki Switches Troubleshooting / Diagnostics Lab 3 Cisco/Meraki Routing Review routing basic (IP Addresses, Networks and Masks, OSPF, etc.) Review Meraki L3 switch Models Configuring Meraki Switches for Routing Lab 4 Cisco/Meraki Wireless Review Wireless Basics Meraki Wireless Product Review Performing a Site Survey Configuring Access Points Lab 5 Cisco/Meraki Firewalls/Security Review firewall basics Meraki Firewall Model Review Configuring a Meraki Firewall Lab 6 IP Cameras MV21 vs MV71 Installing Cameras Adding Cameras to the Dashboard Managing MV Cameras Troubleshooting Cameras Lab 7 Meraki Communications QOS Voice Security Deploying Meraki MC74 Phones Deploying Cisco IP Phones to CUCM Deploying Voice Features End User Lab 8 Meraki Systems Manager Controlling Wireless Device Policies Enrolling Devices Apps Profiles Tags Security Policies Geofencing Policies Lab 9 Meraki SDWAN What is SD-WAN? Concentrator Mode VPN Topology Split Tunnel Full Tunnel Hub and Spoke VPN Mesh Datacenter Redundancy (DC-DC Failover) Warm Spare (High Availability) for VPN concentrators Connection Monitor Dual-Active VPN uplinks Policy-based Routing Dynamic Path Selection SD-WAN Objectives Example Topology High Level Traffic Flow SD-WAN Technologies Deploying a one-armed concentrator Dashboard Configuration Other Datacenter Configuration MX IP Assignment Upstream Considerations Datacenter Redundancy (DC-DC Failover) High-level architecture Failover Times Datacenter Deployment Branch Deployment Lab 10 Meraki Support Getting support for Meraki Finding the Right Documentation Posting in the Community Troubleshooting Meraki Connectivity Issues Resetting Devices. Additional course details: Nexus Humans Implementing and Configuring Meraki Technologies v1.0 (ICMT - CT) 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 Implementing and Configuring Meraki Technologies v1.0 (ICMT - CT) 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 geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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 4 Days 24 CPD hours This course is intended for Experienced system administrators, system engineers, and system integrators Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture of VMware Cloud on AWS Prepare and deploy VMware Cloud on AWS SDDC Configure the scale-up and scale-down of a VMware Cloud on AWS SDDC Access a VMware vCenter configuration in VMware Cloud on AWS Configure internal, external, and inter-SDDC networking Configure storage integrations and solutions for VMware Cloud on AWS Configure a connection between an on-premises vSphere SDDC and a VMware Cloud on AWS SDDC Migrate VMs between on-premises vSphere and VMware Cloud on AWS SDDCs Describe lifecycle management, troubleshooting scenarios, and disaster recovery solutions for a VMware Cloud on AWS SDDC Describe how VMware add-on solutions support a VMware Cloud on AWS SDDC This four-day, hands-on training course provides you with the knowledge, skills, and tools for deploying and managing a VMware Cloud? on AWS infrastructure. You will explore the common use cases of the VMware Cloud on AWS infrastructure that allows you to modernize, protect, and scale applications based on VMware vSphere© that leverage AWS.In this course, you are introduced to various rapid and easy migration options for workloads based on vSphere to VMware Cloud on AWS. In addition, you are presented with VMware Cloud Disaster Recovery?, which is a Disaster Recovery as-a-service (DRaaS) solution, with fast recovery capabilities, that can be used to cost-effectively protect a broad set of your virtualized applications. Course Introduction Introductions and course logistics Course objectives Introduction to VMware Cloud on AWS Choosing VMware Cloud on AWS Management and operational structure VMware Cloud on AWS Platform and SDDC Deployment Preparation Getting started with VMware Cloud on AWS Preparing AWS infrastructure for a VMware Cloud on AWS deployment Setting up a VMware on Cloud AWS account Billing and pricing on VMware Cloud services Deploying and Scaling and SDDC Deploying and examining SDDC configurations Sizing the SDDC SDDC cluster management SDDC host management Optimizing and maintaining SDDC Cluster using Elastic DRS for VMware Cloud on AWS Accessing and Analyzing vCenter Configurations Accessing vCenter Server in the Cloud SDDC Analyzing resource management settings in the SDDC Exploring vSphere permissions on VMware Cloud on AWS VMware Tanzu? for VMC on AWS Networking in VMware Cloud on AWS Internal SDDC network Networking and security options SDDC Network Administration with NSX Manager Creating virtual machines in the Cloud SDDC Inter-SDDC networking Storage on VMware Cloud on AWS vSAN storage in VMware Cloud on AWS Attaching external storage to a VM running on an SDDC Working with On-Premises vSphere Hybrid-linked mode Migration solutions for VMware Cloud on AWS VM migration with VMware HCX© Maintaining and Troubleshooting VMware Cloud on AWS Accessing API with VMware Cloud on AWS Maintenance and support Common troubleshooting steps Disaster Recovery Solution Site Recovery add-on service VMware Cloud Disaster Recovery? Using Other VMware Products with the SDDC VMware Aria? Operations for Logs (formerly vRealize Log Insight) VMware Horizon© with VMware Cloud on AWS VMware Aria Automation add-on (formerly vRealize Automation) Using VMware Aria Operations with VMware Cloud on AWS Using VMware Aria Operations for Networks (formerly vRealize Network Insight) with VMware Cloud on AWS Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Cloud on AWS: Design, Configure, Manage 2023 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 VMware Cloud on AWS: Design, Configure, Manage 2023 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 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 4 Days 24 CPD hours This course is intended for Designed for individuals interested in obtaining information about the CBAP and CCBA exam process especially potential exam candidates interested in pursuing business analysis certification from IIBA in the next 3 to 6 months. Overview Review the 6 Knowledge Areas of the BABOK Guide and discuss the business analysis tasks performed in each. Understand the relationships between the business analysis processes and how each defines an important aspect of the business analysis discipline. Review key terms, business analysis techniques, and competencies important to business analysis. Discuss the 5 business analysis Perspectives presented in BABOK Guide, v3. Complete simulated exam questions to assess personal readiness for taking the exam. Obtain key tips and techniques for effectively preparing for and successfully completing the CBAP or CCBA exam. This course provides you with a clear and detailed understanding of the concepts covered within the CBAP© and CCBA© exams. You will gain valuable tips and techniques to help prepare, study, and assess your personal readiness. In addition, you will earn valuable professional development hours toward meeting the exam criteria. CBAP© and CCBA© Overview Discuss the benefits of professional certification Present the CBAP©/CCBA© eligibility requirements Explain the exam process Discuss the exam blueprints Understand the recertification process Introduction to BABOK© Guide v3 Define the purpose of A Guide to the Business Analysis Body of Knowledge© (BABOK© Guide) Present the structure/components of the BABOK© Guide Identify the six business analysis Knowledge Areas Discuss the supporting areas of the BABOK© Guide BABOK© Guide Key Concepts Define key concepts from the BABOK© Guide Present the Business Analysis Core Concept Model? Discuss the requirements classification scheme Explain Requirements and Designs Present the 5 Business Analysis Perspectives Business Analysis Planning and Monitoring Identify the 5 tasks in Business Analysis Planning and Monitoring Understand the work performed in each of these tasks Explain the significance of the outputs produced within this knowledge area Elicitation and Collaboration Identify the 5 tasks in Elicitation and Collaboration Understand the work performed in each of these tasks Explain the significance of the outputs produced within this knowledge area Requirements Life Cycle Management Identify the 5 tasks in Requirements Life Cycle Management Understand the work performed in each of these tasks Explain the significance of the outputs produced within this knowledge area Strategy Analysis Identify the 5 tasks in Strategy Analysis Understand the work performed in each of these tasks Explain the significance of the outputs produced within this knowledge area Requirements Analysis and Design Definition Identify the 6 tasks in Requirements Analysis and Design Definition Understand the work performed in each of these tasks Explain the significance of the outputs produced within this knowledge area Solution Evaluation Identify the 6 tasks in Solution Evaluation Understand the work performed in each of these tasks Explain the significance of the outputs produced within this knowledge area Underlying Competencies Describe and understand the importance of the underlying competencies (UCs) Understand how to prepare for questions about UCs on the exam Business Analysis Techniques More clearly understand the 50 techniques presented in the BABOK© Guide Understand how to study techniques for the exam Assess Your Readiness 1 hour mock-exam to assess personal readiness Strategies for Success Utilize 8 strategies for preparing for the CBAP© or CCBA© certification exams Develop study tools and a plan to assist you in preparing for the exams Understand the tools and resources available to help you be successful Wrap-up Take Your Questions Next Steps Additional course details: Nexus Humans BACP02 - Certified Business Analysis Professional (CBAP) Exam Preparation 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 BACP02 - Certified Business Analysis Professional (CBAP) Exam Preparation 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 This course is for all Oracle Professionals. Specifically Database Administrators, Web Server Administrators, System Administrators, CIOs and other IT Management Professionals. Overview Upon successful completion of this course, students will be able to perform many of the day-to-day administration tasks required of an Oracle database administrator. This course introduces many of the powerful capabilities of the Oracle database. In this course, students will learn about day-to-day administration tasks. It will also address administration sub-specialties. Introduction: Managing the Database Instance The Database Management Tools EM Database Express EM Cloud Control SQL Developer Database Administrator Introduction: Database Architecture Review Database Instance Configurations Memory Structures Process Structures Storage Architecture Introduction: Starting & Stopping Databse Services Start & Stop the Database Listener ABOUT DATABASE STARTUP/SHUTDOWN SYSOPER SYSDBA DATABASE STATE & STAGES STARTUP WITH EM CLOUD CONTROL STARTUP WITH SQL*PLUS SHUTDOWN WITH EM CLOUD CONTROL SHUTDOWN WITH SQL*PLUS USING MS WINDOWS SERVICES Introduction: Oracle Network Environment Oracle Net Services Architecture ORACLE NET CONFIGURATION ASSISTANT ORACLE NET MANAGER USING EM CLOUD CONTROL ADVANCED NETWORK COMPRESSION TROUBLESHOOTING NETWORK PROBLEMS Introduction: Diagnostics & Oracle Support About Database Diagnostics Fault Diagnosability Infrastructure DATABASE INSTANCE HEALTH SNAPSHOT THE SUPPORT WORKBENCH PROACTIVE DATABASE HEALTH CHECKS PACKAGE DIAGNOSTIC DATA WORKING WITH THE KNOWLEDGE BASE Storage: Tablespace Management Starter Tablespaces CREATE TABLESPACE WITH EM CC CREATE TABLESPACE WITH SQL MANAGE TABLESPACES WITH EM CC MANAGE TABLESPACES WITH EM DE MANAGE TABLESPACES WITH SQL DROP TABLESPACE ALTER TABLESPACE Storage: Advanced Tablespace Management Managing Temporary Tablespaces TEMP TABLESPACE GROUPS WITH EM TEMP TABLESPACE GROUPS WITH SQL DEFAULT PERMANENT TABLESPACES BIGFILE TABLESPACES MANAGING THE SYSAUX TABLESPACE Storage: Data Files & Temp Files Management Manage Data Files with EM ACCESS METADATA WITH SQL MANAGE DATA FILES WITH SQL MANAGE TEMP FILES ORACLE-MANAGED FILES (OMF) Storage: UNDO Data & UNDO Tablespaces About UNDO Space Management GUARANTEE UNDO RETENTION MONITOR UNDO SPACE WITH SQL USE THE EM UNDO ADVISOR Security & Schemas: Security Overview & Database Privileges Database Security Principles DATABASE SYSTEM PRIVILEGES DATABASE OBJECT PRIVILEGES SUPER ADMINISTRATOR ROLES PRIVILEGE ANALYSIS Security & Schemas: User Security Create & Manage User Accounts MANAGE USERS WITH EM MANAGE USERS WITH SQL CREATE USER ALTER USER DROP USER GRANT & REVOKE PRIVILEGES RESOURCE LIMITS VIA PROFILES ALTER PROFILE DROP PROFILE PASSWORD MANAGEMENT VIA PROFILES ROLE-BASED SECURITY MANAGEMENT ALTER USER...DEFAULT ROLE SET ROLE DELEGATING PRIVILEGE AUTHORIZATION WITH ADMIN OPTION & System Privileges WITH GRANT OPTION & Object Privileges PRINCIPLE OF LEAST PRIVILEGE CHECKLIST Security & Schemas: Database Auditing Auditing Database Activity Traditional Auditing Unified Auditing Create Audit Policy Security & Schemas: SQL Loader Loader Concepts Loader From the Command Line control File Options Load Methods Loader Express Mode Loader From EM Security & Schemas: Export & Import Manage Directory Objects The Data Pump Architecture Data Pump Export Data Pump Import Data Pump Dictionary Views Using the EM CC Interface Performance & Availability: Managing Performance & SQL Tuning Management Advisory Framework Performance Monitoring & AWR The SQL Tuning Advisor Monitoring Exceptions with Metrics Performance & Availability: Data Concurrency About System & User Locks Monitor & Manage User Locks Moitor Locks with Data Dictionary Manage Locks with EM Performance & Availability: Backup & Recovery Concepts Backup & Recovery Structures Managing REDO Data Configuring for Recoverability Instance Recovery Recoverability Checklist Additional course details: Nexus Humans Oracle 12c Administration II 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 Oracle 12c Administration II 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 Experienced system administrators and system integrators responsible for designing and implementing vRealize Automation Overview By the end of the course, you should be able to meet the following objectives: Describe the vRealize Automation architecture and use cases in cloud environments Manage vRealize Automation entities on VMware and third-party virtual and cloud infrastructures Configure and manage Cloud Accounts, Projects, Flavor Mappings, Image Mappings, Network Profiles, Storage Profiles, Volumes, Tags, and Services Create, modify, manage, and deploy Cloud Templates Connect to a Kubernetes Cluster and manage namespaces Customize services and virtual machines with cloudConfig Configure and manage the Service Broker Configure and manage ABX actions, custom properties, event broker subscriptions, and vRealize Orchestrator workflows Integrate with vRealize Orchestrator Install vRealize Automation with Lifecycle Configuration Manager Describe Cloud Automation Services (Cloud Assembly and Code Stream). Integrate Cloud Assembly with Terraform and SaltStack Use logs and CLI commands to monitor and troubleshoot vRealize Automation During this five-day course, you focus on installing, configuring, and managing VMware vRealize© Automation?. You learn about how vRealize Automation can be used to automate the delivery of virtual machines, applications, and personalized IT services across different data centers and hybrid cloud environments. The course covers how to manage both on-premise systems and cloud services. The course covers how vRealize Automation Service Broker can aggregate content in native formats from multiple clouds and platforms into a common catalog. This course also covers interfacing vRealize Automation with other systems using VMware vRealize© Orchestrator? and how to use vRealize Automation to manage Kubernetes systems and leverage other systems. The course also covers integrating with Terraform and using SaltStack as a configuration management tool. Course Introduction Introductions and course logistics Course objectives vRealize Automation Overview and Architecture Describe the purpose and functionality of vRealize Automation Describe the vRealize Automation architecture Describe the use of VMware Workspace ONE© AccessTM Describe the relationship between Kubernetes clusters, containers, and vRealize Automation services Describe CLI commands for vRealize Automation 8 cluster management Describe Cloud Assembly Describe Service Broker Describe Code Stream Installing vRealize Automation List the different vRealize Automation deployment types Describe the purpose of vRealize easy installer Describe the vRealize Automation installation process Authentication and Authorization Identity the steps involved in integrating Workspace One with Active Directory Describe features of Workspace One Describe the user roles available in vRealize Automation Identify the key tasks performed by each user role Define custom roles Configure branding and multitenancy Basic Initial Configuration Quickly create a basic configuration with a cloud account, cloud zone, project, flavor mapping, and image mapping. VMware Cloud Templates Configure and deploy a basic cloud template Create cloud templates that can run on any cloud Use cloudConfig to run commands, install software, and create users Use YAML for inputs, variables, and conditional deployments Tags and Storage Configuration Configure tags Describe different types of tags Manage tags Configure storage profiles Use tags and storage profiles Integrating NSX-T Data Center List the capabilities and use cases of NSX-T Data Center Describe the NSX-T Data Center architecture and components Integrate NSX-T Data Center with vRealize Automation List the supported network profiles in vRealize Automation Use NSX-T Data Center components to design a multitier application Cloud Template Identify the network and security options available in design canvas Create and manage on-demand networks and security groups Configure NSX-T day 2 actions Integrating with Public Clouds Configure and use VMware Cloud Foundation accounts Configure and use an AWS cloud account Configure and use an Azure cloud account Configure and use a Google Cloud Platform cloud account Using Service Broker for Catalog Management Release a VMware Cloud Template? Define content source and content sharing Define Service Broker policy enforcement Use custom forms for catalog items vRealize Automation Extensibility Describe Extensibility Use event topics Create a subscription Call a vRealize Orchestrator workflow Create ABX actions Using Code Stream Introduction to Code Stream The CI/CD process Integrate GitLab with Code Stream and Cloud Assembly Use Code Stream to install software Using Terraform Integrate Cloud Assembly with Terraform Use Terraform with a VMware Cloud Template Use Terraform with Code Stream Using Kubernetes Clusters Introduction to Kubernetes Connect to an existing Kubernetes Cluster Integrate VMware Tanzu? Grid Integrated Edition Create a Supervisor Namespace as a catalog item Using SaltStack for Configuration Management Introduction SaltStack with vRealize Automation Use SaltStack for software deployment Use SaltStack for configuration management Use SaltStack with event-driven orchestration vRealize Automation Troubleshooting and Integration Location of logs Using Activity Monitoring deployment history Basic troubleshooting CLI commands Collecting logs (VAMI console) Integration with VMware vRealize© Log Insight? Integration with vRealize Operations Migrating vRealize Automation 7.x to 8

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.