Duration 5 Days 30 CPD hours This course is intended for Linux system administrators, virtualization administrators, and hybrid infrastructure engineers interested in deploying large-scale virtualization solutions and managing virtual servers in their datacenters, based on the Red Hat Virtualization open virtualization management platform. Overview As a result of completing this offering, you should be able to create and deploy Red Hat Virtualization and virtual servers. Using a single, full-service management interface, Red Hat Virtualization Manager, you will be able to configure, manage, and migrate systems within the virtualization environment. In this course you will develop the skills needed to deploy, administer, and operate virtual machines in your organization using Red Hat© Virtualization. Through numerous hands-on exercises, you will demonstrate the ability to deploy and configure the Red Hat Virtualization infrastructure and use it to provision and manage virtual machines. This offering also prepares you for the Red Hat Certified Specialist in Virtualization exam.This course is based on Red Hat Enterprise Virtualization 4.3 and Red Hat Enterprise Linux© 7.6 and 8, as well as Red Hat Hyperconverged Infrastructure for Virtualization 1.6.This course covers the same material as RH318, but includes the Red Hat Certified Specialist in Virtualization exam (EX318). Red Hat Virtualization overview Explain the purpose and architecture of Red Hat Virtualization. Install and configure Red Hat Virtualization Install a minimal Red Hat Virtualization environment and use it to create a virtual machine. Create and manage datacenters and clusters Organize hypervisors into groups using datacenters and clusters. Manage user accounts and roles Configure user accounts using a central directory service, then use roles to assign access to resources based on job responsibilities. Adding physical hosts Add additional Red Hat Virtualization hosts automatically, and move and remove hosts from datacenters as needed. Scale Red Hat Virtualization infrastructure Add Red Hat Virtualization hosts automatically, configure Red Hat Enterprise Linux hosts when appropriate, and move and remove hosts from data centers as needed. Manage Red Hat Virtualization networks Separate network traffic into multiple networks on one or more interfaces to improve the performance and security of Red Hat Virtualization. Manage Red Hat Virtualization storage Create and manage data and ISO storage domains. Deploy and manage virtual machines Operate virtual machines in the Red Hat Virtualization environment. Migrate virtual machines Migrate and control automatic migration of virtual machines. Manage virtual machine images Manage virtual machine snapshots and disk images. Automating virtual machine deployment Automate deployment of virtual machines by using templates and cloud-init. Back up and upgrade Red Hat Virtualization Back up, restore, and upgrade the software in a Red Hat Virtualization environment. Explore high-availability practices Explain procedures to improve the resilience and reliability of Red Hat Virtualization by removing single points of failure and implementing high-availability features. Perform comprehensive review Demonstrate skills learned in this course by installing and configuring Red Hat Virtualization; using the platform to create and manage virtual machines; and backing up and updating components of Red Hat Virtualization.
Master the art of project planning, scheduling, and resource management with Oracle Primavera P6 PPM Professional. The course offers a streamlined approach to efficiently manage projects and includes workshops for intermediate-level users to apply their knowledge in practice.
Duration 1 Days 6 CPD hours This course is intended for This course is designed for sales representatives who are managing their sales territories, with the goal of converting sales leads into sales opportunities and sales opportunities into closed sales. You may be selling products or services, or you may or may not be familiar with other CRM systems and may be new to Salesforce CRM. Overview In this course, students will create and manage records in the trial version of Salesforce© Sales Cloud© Lightning Enterprise Edition.Students will:- Create a basic Salesforce Sales Cloud environment and navigate the interface.- Optimize lead qualification.- Manage accounts and contacts.- Manage the opportunity pipeline.- Use Salesforce email.- Work with reports and dashboards. This course will give students the knowledge and skills they need to use Salesforce© in the real world?ultimately enabling them to meet and exceed their sales targets. Getting Started with Salesforce Set Up a Trial Version of Salesforce Sales Cloud Enterprise Edition Navigate the Salesforce LE Interface Navigate in the Salesforce Classic Interface Optimizing Lead Qualification View Leads Manage Leads Work Leads Convert Leads Managing Accounts and Contacts Manage Accounts Manage Contacts Managing the Opportunity Pipeline Manage Opportunities Work Opportunities Close Opportunities Using Salesforce Email Use Salesforce Email in Salesforce Classic Use Salesforce Email in Salesforce LE Working with Reports and Dashboards View Reports and Dashboards Create and Edit Reports and Dashboards
Business Excellence in a Disruptive Age All bets are off ... a brief tour of dramatic forces at work, from changing technologies and demographics to the rise of China and India and the profound effects of a new corporate risk profile. Strategies and tactics are laid out for accomplishing necessary, radical enterprise change. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.
This course will help you get a deeper understanding of Robotic Process Automation (RPA) with hands-on experience by helping you build your own automated robot using UiPath Studio.
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.
Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Network administrators Network engineers Network managers System engineers Overview After taking this course, you should be able to: Describe the Cisco ThousandEyes solution and its high-level use cases Identify different types of ThousandEyes agents and supported tests Describe different Enterprise Agent deployment options, requirements, and procedures for agent deployment Describe different ThousandEyes test types Compare Thousand Eyes web layer tests Describe the role of an Endpoint Agent Deploy and Configure an Endpoint Agent Utilize ThousandEyes when performing the root cause analysis Discuss the challenges that ThousandEyes Internet Insights can address Describe the role and configuration of default and custom alerts Distinguish between usability of dashboards and reports Utilize ThousandEyes to monitor solutions end-to-end Describe how to perform system administration The Implementing and Troubleshooting Networks Using Cisco ThousandEyes (ENTEIT) v1.0 course is designed to introduce you to and familiarize you with Cisco© ThousandEyes. Through a combination of lectures and hands-on experience, you will learn to implement and configure the Cisco ThousandEyes solution. You will also learn to install and configure the Cisco ThousandEyes agents with different test types. This solution will also enable you to perform root cause analysis when troubleshooting. Course Outline Introducing Cisco ThousandEyes Introducing Cisco ThousandEyes Agents and Tests Deploying Enterprise Agents Describing ThousandEyes Routing, Network DNS, and Voice Tests Describing Cisco ThousandEyes Web Tests Introducing Endpoint Agents Deploying Endpoint Agents Troubleshooting with Cisco ThousandEyes Using Internet Insights Configuring Alerts Customizing Dashboards and Reports Monitoring Solutions Administrating the System
Design Sinking: How to Fail at Design Thinking - and How to Do It Better Design Thinking is ubiquitous these days. From developing new payment processes for car parks to optimizing the patient experience in public hospitals, from designing blockchain scenarios for savings banks to improving the employee experience at tech start-ups, from building intrapreneurial ventures for mobility providers to designing business models for aircraft parts logistics, from large-scale digital transformation campaigns on enterprise level to designing whole strategies of start-ups, SMEs and major corporations alike... Looking back to the last years as an innovation consultant and facilitator, the list could go on and on. Browsing all those cases one might easily get the impression that Design Thinking is some kind of 'magic wand' to just do it all - better, faster, cheaper and of course instantly ready for implementation, with a 100% guaranteed success rate. Germans would call it a 'Eierlegende Wollmilchsau' (engl. fig. 'egg laying wool-milk-pig'). Of course, it is not. Nevertheless, it has undoubtedly proven to be a highly important tool to master the transformations we're facing on so many levels.
Duration 5 Days 30 CPD hours This course is intended for Data Warehouse Administrator Database Administrators Database Designers Support Engineer Technical Administrator Overview Back up, restore, and patch DBCS database deployments Describe the DBaaS and on-premises Oracle Database architectures Manage database instances Manage UNDO data Move data between databases Implement basic backup and recovery procedures Monitor and tune database performance Tune SQL to improve performance Manage resources with Oracle Database Resource Manager Create pluggable databases (PDBs) Configure the Oracle network environment Administer user security and implement auditing Create and manage tablespaces Manage storage space Create and manage Database as a Cloud Service (DBCS) database deployments Register databases and manage performance with Enterprise Manager Cloud Control The Oracle Database 12c R2: Administration Workshop Ed 3 course is designed to provide students with a firm foundation in administration of an Oracle Database. In this course students will gain a conceptual understanding of Oracle Database architecture and learn how to manage an Oracle Database in an effective and efficient manner. Exploring Oracle Database Architecture Introducing Oracle Database Relation Database Models Oracle SQL and PL/SQL Oracle Database Server Architecture Connecting to Oracle Databases Oracle Database Tools Oracle-Supplied User Accounts Querying the Oracle Data Dictionary Managing Database Instances Initialization Parameter Files Starting Up Oracle Databases Shutting Down Oracle Databases Opening and Closing PDBs Working with the Automatic Diagnostic Repository (ADR) Querying Dynamic Performance Views Creating PDBs Methods and Tools to Create PDBs Creating PDBs from Seed with SQL*Plus Cloning PDBs with SQL*Plus Unplugging and Pluggin In PDBs with SQL*Plus Dropping PDBs with SQL*Plus Configuring the Oracle Network Environment Oracle Net Services How Listeners Work Configuring Listeners for Dynamic Service Registration Configuring Listeners for Static Service Registration Configuring Local Naming for Connections Testing Oracle Net Connectivity with tnsping Configuring Communication Between Databases Dedicated Versus Shared Server Configurations Administering User Security Creating Users Granting Privileges Creating and Granting Roles Revoking Privileges and Roles Creating and Assigning Profiles Authenticating Users Assigning Quotas to Users Applying the Principal of Least Privilege Creating and Managing Tablespaces How Table Data is Stored Creating Tablespaces in SQL*Plus Altering and Dropping Tablespaces in SQL*Plus Viewing Tablespace Information in SQL*Plus Implementing Oracle Managed Files Moving and Renaming Online Data Files in SQL*Plus Managing Storage Space Oracle Database Space Management Features Block Space Management Row Chaining and Migration Free Space Management Within Segments Types of Segments Allocating Extents Understanding Deferred Segment Creation Space-Saving Features Managing UNDO Data Undo Data: Overview Transactions and Undo Data Storing Undo Information Comparing Undo Data and Redo Data Managing Undo Local Undo Mode Versus Shared Undo Mode Configuring Undo Retention Categories of Undo Moving Data Moving Data: General Architecture Oracle Data Pump: Overview Oracle Data Pump: Benefits Data Pump Export and Import Clients Data Pump Utility: Interfaces and Modes Data Pump Import: Transformations SQL*Loader Overview Loading Methods Backup and Recovery Concepts DBA Responsibilities Categories of Failure Understanding Instance Recovery Understanding Types of Backups Comparing Complete and Incomplete Recovery Oracle Data Protection Solutions Flashback Technology Monitoring and Tuning Database Performance Managing Performance Activities Performance Planning Considerations Database Maintenance Automatic Workload Repository (AWR) Automatic Database Diagnostic Monitor Performance Monitoring Performance Tuning Methodology Database Server Statistics and Metrics SQL Tuning SQL Tuning Process Oracle Optimizer Optimizer Statistics SQL Plan Directives Adaptive Execution Plans SQL Tuning Advisor SQL Access Advisor SQL Performance Analyzer Oracle Database Resource Manager Oracle Database Resource Manager: Overview Resource Manager Elements Using Resource Manager to Allocate Resources Creating a Simple Resource Plan Creating a Complex Resource Plan Using the Active Session Pool Feature Limiting CPU Utilization at the Database Level Limiting CPU Utilization at the Server Level Enterprise Manager Cloud Control Controlling the Enterprise Manager Cloud Control Framework Starting the Enterprise Manager Cloud Control Framework Stopping the Enterprise Manager Cloud Control Framework Introduction to Oracle Database Cloud Service Oracle Cloud: Overview Database Cloud Service Offerings DBCS Architecture Features and Tooling Additional Database Configuration Options Creating DBCS Database Deployments Automated Database Provisioning Creating a Database Deployment How SSH Key Pairs are Used Creating an SSH Key Pair Storage Used for Database Files Managing DBCS Database Deployments Cloud Tooling Accessing Tools and Features from the DBCS Console Managing the Compute Node Associated With a Database Deployment Managing Network Access to DBCS Enabling Access to a Compute Node Port Scaling a Database Deployment Backing Up and Restoring DBCS Database Deployments Backing Up and Recovering Databases on DBCS Backup Destination Choices Backup Configuration Creating an On-Demand Backup Customizing the Backup Configuration Performing Recovery by Using the Console Performing Recovery by Using the dbaascli Utility Patching DBCS Database Deployments Patching DBCS Using the DBCS Console to Manage Patches Using the dbaascli Utility to Manage Patches Creating Master Encryption Keys for PDBs CDB and PDB Master Encryption Keys Determining Whether You Need to Create and Activate and Encryption Key for a PDB Creating and Activating an Encryption Key Tablespace Encryption by Default Tablespace Encryption by Default in DBCS Transparent Data Encryption (TDE) Overview Components of TDE Using TDE Defining the Keystore Location Controlling Tablespace Encryption by Default Managing the Software Keystore and Master Encryption Key Managing the Keystore in CDBs and PDBs Additional course details: Nexus Humans Oracle Database 12c R2 - Administration Workshop Ed 3 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 Database 12c R2 - Administration Workshop Ed 3 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.
Back to the Future: Business Transformation and the Future of Work Through RPA Robotics Process Automation (RPA) is a major disrupting technology. 62% of CEOs expect this technology to completely disrupt their business within the next 5 years, according to a PwC CEO Survey. The concept of 'Digital Labor' is seeping into the lexicon of executive business speech as they look to adapt their operating models to automate a broad spectrum of business processes on demand. As RPA 'BOTS' mimic the actions of humans, it follows that there will be displacement of human workers as a result. Therefore, with the increased adoption and criticality of the new processes with BOTS, there is a great imperative to develop and deploy robots that exceed the level of productivity and quality as humans are replace. This presentation will focus on the current state of the market and the impact of RPA on business operation, workforce development, quality and compliance imperatives. Forward-thinking companies need to understand this disruptive technology and how it will impact today's workforce. The presentation will explore how companies can unlock the full potential of automation using robotic process automation throughout the enterprise. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs.