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Duration 2 Days 12 CPD hours This course is intended for Die Schulung ist zugeschnitten auf die Bedarfe von: Entwickler:innen, Menschen, die die Rollen Scrum Master oder Product Owner ausüben. Projekt- und Prozessexpertinnen und -experten. Manager:innen sowie Teams, die Kanban für das Managen von täglichen operativen Aktivitäten einsetzen, z. B. Mitglieder von DevOps-Teams. Fachleute aus Bereichen wie z. B. Personal, Finanzen, Marketing, Produktion und Support. Alle, die irgendwo den Arbeitsfluss optimieren möchten. Overview Kanban umfasst sechs Grundpraktiken: Arbeitsfluss visualisieren Work-in-Progress (WIP) begrenzen Arbeitsfluss kontrollieren Prozessregeln explizit machen Feedback-Schleifen implementieren Gemeinsam verbessern, experimentell weiterentwickeln Im Mittelpunkt der Schulung steht das Verständnis der Kanban-Prinzipien und wie man diese mit Hilfe der Kanban-Werkzeuge (Tools) in der Praxis anwendet. Der Kurs bereitet auf die entsprechende Zertifizierung EXIN Kanban Foundation vor. Kanban: Methode zur kontinuierlichen Verbesserung des Arbeitsflusses in kollaborativen Teams. Zentrales Mittel ist die Visualisierung und Begrenzung der parallel in Arbeit befindlichen Aufgaben. Einsatzgebiete: SW-Entwicklung, IT-Betrieb, Produktion. Vorteile von Kanban 1.1 Die Flexibilit„t von Kanban 1.2 Die Kanban-Kultur Kontinuierliche Verbesserung 2.1 Kaizen einfhren 2.2 Prozesse visualisieren und verbessern 2.3 Rahmenbedingungen fr Ver„nderungen Kanban implementieren 3.1 Arbeit visualisieren 3.2 Tickets erstellen 3.3 Work-in-Progress (WIP) begrenzen 3.4 Fluss und Lieferrhythmus kontrollieren 3.5 Priorisierung 3.6 Variabilit„t reduzieren Kanban skalieren 4.1 Kanban mit verteilten Teams 4.2 Kanban in Groáprojekten

Duration 1 Days 6 CPD hours This course is intended for This course is for employees of Sun Life who want to expand their skills when using HUE to work with SQL databases. Overview Upon successful completion of this course, students will be able to better operate HUE when interacting with SQL databases. In this course, students will learn additional skills when using HUE to interact with SQL databases. Using Subqueries to Perform Advanced Querying Search Based on Unknown Values Compare a Value with Unknown Values Search Based on the Existence of Records Generate Output Using Correlated Subqueries Filter Grouped Data Within Subqueries Perform Multiple-Level Subqueries Manipulating Table Data Insert Data Modify and Delete Data Manipulating the Table Structure Create a Table Create a Table with Constraints Modify a Table's Structure Back Up Tables Delete Tables Working with Views Create a View Manipulate Data in Views Create Aliases Modify and Delete Views Indexing Data Create Indexes Drop Indexes Managing Transactions Create Transactions Commit Transactions

Duration 3 Days 18 CPD hours This course is intended for This course is designed for security analysts, security technical architects, offense managers, network administrators, and system administrators using QRadar SIEM. Overview After completing this course, you should be able to perform the following tasks: Describe how QRadar collects data to detect suspicious activities Describe the QRadar architecture and data flows Navigate the user interface Define log sources, protocols, and event details Discover how QRadar collects and analyzes network flow information Describe the QRadar Custom Rule Engine Utilize the Use Case Manager app Discover and manage asset information Learn about a variety of QRadar apps, content extensions, and the App Framework Analyze offenses by using the QRadar UI and the Analyst Workflow app Search, filter, group, and analyze security data Use AQL for advanced searches Use QRadar to create customized reports Explore aggregated data management Define sophisticated reporting using Pulse Dashboards Discover QRadar administrative tasks IBM Security QRadar enables deep visibility into network, endpoint, user, and application activity. It provides collection, normalization, correlation, and secure storage of events, flows, assets, and vulnerabilities. Suspected attacks and policy breaches are highlighted as offenses. In this course, you learn about the solution architecture, how to navigate the user interface, and how to investigate offenses. You search and analyze the information from which QRadar concluded a suspicious activity. Hands-on exercises reinforce the skills learned. Course Outline Unit 0: IBM Security QRadar 7.4 - Fundamentals Unit 1: QRadar Architecture Unit 2: QRadar UI - Overview Unit 3: QRadar - Log Source Unit 4: QRadar flows and QRadar Network Insights Unit 5: QRadar Custom Rule Engine (CRE) Unit 6: QRadar Use Case Manager app Unit 7: QRadar - Assets Unit 8: QRadar extensions Unit 9: Working with Offenses Unit 10: QRadar - Search, filtering, and AQL Unit 11: QRadar - Reporting and Dashboards Unit 12: QRadar - Admin Console Additional course details: Nexus Humans BQ104 IBM QRadar SIEM Foundations 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 BQ104 IBM QRadar SIEM Foundations 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 Overview The goal of this course is to enable technical students new to Cassandra to begin working with Cassandra in an optimal manner. Throughout the course students will learn to: Understand the Big Data needs that C* addresses Be familiar with the operation and structure of C* Be able to install and set up a C* database Use the C* tools, including cqlsh, nodetool, and ccm (Cassandra Cluster Manager) Be familiar with the C* architecture, and how a C* cluster is structured Understand how data is distributed and replicated in a C* cluster Understand core C* data modeling concepts, and use them to create well-structured data models Be familiar with the C* eventual consistency model and use it intelligently Be familiar with consistency mechanisms such as read repair and hinted handoff Understand and use CQL to create tables and query for data Know and use the CQL data types (numerical, textual, uuid, etc.) Be familiar with the various kinds of primary keys available (simple, compound, and composite primary keys) Be familiar with the C* write and read paths Understand C* deletion and compaction The Cassandra (C*) database is a massively scalable NoSQL database that provides high availability and fault tolerance, as well as linear scalability when adding new nodes to a cluster. It has many powerful capabilities, such as tunable and eventual consistency, that allow it to meet the needs of modern applications, but also introduce a new paradigm for data modeling that many organizations do not have the expertise to use in the best way.Introduction to Cassandra is a hands-on course designed to teach attendees the basics of how to create good data models with Cassandra. This technical course has a focus on the practical aspects of working with C*, and introduces essential concepts needed to understand Cassandra, including enough coverage of internal architecture to make good decisions. It is hands-on, with labs that provide experience in core functionality. Students will also explore CQL (Cassandra Query Language), as well as some of the ?anti-patterns? that lead to non-optimal C* data models and be ready to work on production systems involving Cassandra. Session 1: Cassandra Overview Why We Need Cassandra - Big Data Challenges vs RDBMS High level Cassandra Overview Cassandra Features Optional: Basic Cassandra Installation and Configuration Session 2: Cassandra Architecture and CQL Overview Cassandra Architecture Overview Cassandra Clusters and Rings Nodes and Virtual Nodes Data Replication in Cassandra Introduction to CQL Defining Tables with a Single Primary Key Using cqlsh for Interactive Querying Selecting and Inserting/Upserting Data with CQL Data Replication and Distribution Basic Data Types (including uuid, timeuuid) Session 3: Data Modeling and CQL Core Concepts Defining a Compound Primary Key CQL for Compound Primary Keys Partition Keys and Data Distribution Clustering Columns Overview of Internal Data Organization Overview of Other Querying Capabilities ORDER BY, CLUSTERING ORDER BY, UPDATE , DELETE, ALLOW FILTERING Batch Queries Data Modeling Guidelines Denormalization Data Modeling Workflow Data Modeling Principles Primary Key Considerations Composite Partition Keys Defining with CQL Data Distribution with Composite Partition Key Overview of Internal Data Organization Session 4: Additional CQL Capabilities Indexing Primary/Partition Keys and Pagination with token() Secondary Indexes and Usage Guidelines Cassandra collections Collection Structure and Uses Defining and Querying Collections (set, list, and map) Materialized View Overview Usage Guidelines Session 5: Data Consistency In Cassandra Overview of Consistency in Cassandra CAP Theorem Eventual (Tunable) Consistency in C* - ONE, QUORUM, ALL Choosing CL ONE Choosing CL QUORUM Achieving Immediate Consistency Overview of Other Consistency Levels Supportive Consistency Mechanisms Writing / Hinted Handoff Read Repair Nodetool repair Session 6: Internal Mechanisms Ring Details Partitioners Gossip Protocol Snitches Write Path Overview / Commit Log Memtables and SSTables Write Failure Unavailable Nodes and Node Failure Requirements for Write Operations Read Path Overview Read Mechanism Replication and Caching Deletion/Compaction Overview Delete Mechanism Tombstones and Compaction Session 7: Working with IntelliJ Configuring JDBC Data Source for Cassandra Reading Schema Information Querying and Editing Tables. Additional course details: Nexus Humans Introduction to Cassandra (TTDS6776) 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 Cassandra (TTDS6776) 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 4.5 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 2 Days 12 CPD hours This course is intended for Developers, Data Engineers, Architects, and Administrators Overview Join an engaging hands-on learning environment, where you'll learn: Splunk essentials Indexing in Splunk Splunk architecture and components Query and search your data How to create dashboards and visualizations How to apply alerts This is a hands-on course with engaging instruction, demos, group discussions, labs, and project work. Join an engaging hands-on learning environment, where you?ll learn - Splunk essentials Indexing in Splunk Splunk architecture and components Query and search your data How to create dashboards and visualizations How to apply alerts This is a hands-on course with engaging instruction, demos, group discussions, labs, and project work. Introduction to Splunk What?s Splunk? What?s Splunk? Authentication Methods Access Controls and Users Products, Licensing, and Costs Quick Tour Guide: User Interface Indexes Splunk Data What are Indexes? Search-Head Index Clusters Index Pipeline Events Fields and Field Extraction Forwarders Metrics Removing Data Splunk Architecture Components of Splunk Deployments Deployment Scenarios Search Processing Language What is Search Processing Language (SPL)? Searching Operators Search Commands Search Pipeline Sub-searches Commonly Used Search Commands Drilldowns Lookups Optimize Searches Dashboard and Visualizations Dashboards in Splunk Creating Dashboards Visualization Types Search as Reports Dashboards Drilldown Forms Alerts Creating Alerts Scheduling Alerts Alerts Notifications Scheduled Reports Creating Scheduled Reports Putting the Pieces Together In your final exercise, you?ll configure a typical scenario when using Splunk. You'll install and configure an NGINX, then the Splunk forwarder to collect logs in Splunk. The idea is that you can apply everything you've learned within the Bootcamp: creating searches, visualizations, dashboards, etc.

Duration 3 Days 18 CPD hours This course is intended for This course is suitable for anyone responsible for configuring, managing or supporting a Veeam Availability Suite v11 environment. Overview After completing this course, attendees should be able to: Describe Veeam Availability Suite components usage scenarios and relevance to your environment. Effectively manage data availability in on-site, off-site, cloud and hybrid environments. Ensure both Recovery Time Objectives (RTOs) and Recovery Point Objectives (RPOs) are met. Configure Veeam Availability Suite to ensure data is protected effectively. Adapt with an organization's evolving technical and business data protection needs. Ensure recovery is possible, effective, efficient, secure and compliant with business requirements. Provide visibility of the business data assets, reports and dashboards to monitor performance and risks The Veeam© Availability Suite? v11: Configuration and Management training course is a three-day, technical deep dive focused on teaching IT professionals the skills to configure, manage and support a Veeam Availability Suite v11 solution. With extensive hands-on-labs, the class enables administrators and engineers to effectively manage data in an ever-changing technical and business environment, bringing tangible benefit to businesses in the digital world. This course is based on Veeam Availability Suite v11. Introduction Describe RTOs and RPOs, what they mean for your business, how to manage and monitor performance against them The 3-2-1 Rule and its importance in formulating a successful backup strategy Identify key Veeam Availability Suite components and describe their usage scenarios and deployment types Building backup capabilities Backup methods, the appropriate use cases and impact on underlying file systems Create, modify, optimize and delete backup jobs, including Agents and NAS Backup jobs. Explore different tools and methods to maximize environment performance Ensure efficiency by being able to select appropriate transport modes while being aware of the impact of various backup functions on the infrastructure Building replication capabilities Identify and describe the options available for replication and impacts of using them Create and modify replication jobs, outline considerations to ensure success Introduce the new Continuous Data Protection (CDP) policy Secondary backups Simple vs. advanced backup copy jobs, how to create and modify them using best practices to ensure efficient recovery Discuss using tapes for backups Advanced repository capabilities Ensure repository scalability using a capability such as SOBR on-premises and off-site including integration with cloud storage Ensure compatibility with existing deduplication appliances Introduce the new hardened repository Protecting data in the cloud Review how Veeam can protect the data of a cloud native application Review how Veeam Cloud Connect enables you to take advantage of cloud services built on Veeam Review how Veeam can be used to protect your Office 365 data Restoring from backup Ensure you have the confidence to use the correct restore tool at the right time for restoring VMs, bare metal and individual content such as files and folders Utilize Secure Restore to prevent the restoration of malware Describe how to use Staged Restore to comply with things like General Data Protection Regulation (GDPR) before releasing restores to production Identify, describe and utilize the different explores and instant recovery tools and features Recovery from replica Identify and describe in detail, failover features and the appropriate usage Develop, prepare and test failover plans to ensure recovery Disaster recovery from replica to meet a variety of real-world recovery needs Testing backup and replication Testing backups and replicas to ensure you can recover, what you need, when you need to Configure and setup virtual sandbox environments based on backup, replicas and storage snapshots Veeam Backup Enterprise Manager and Veeam ONE Introduce the concept of monitoring your virtual, physical and cloud environments with Veeam Backup Enterprise Manager and Veeam ONE Configuration backup Locate, migrate or restore backup configuration Additional course details: Nexus Humans VASCM-11 Veeam Availability Suite v11: Configuration and Management 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 VASCM-11 Veeam Availability Suite v11: Configuration and Management 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 is an intermediate course for z/OS system programmers, z/OS performance analysts, and z/OS performance administrators new to performance management for their z/OS system.Note: ES54 is intended for individuals new to WLM and the z/OS performance area Overview The objectives for this course are as follows:Describe a performance and tuning methodologyDevelop a systematic z/OS performance and tuning planDescribe the factors which could affect the performance of an z/OS systemUse the WLM ISPF applicationDescribe the components of a service definitionDefine workloads and service levels and classification rulesState which z/OS commands affect WLM operationIdentify the major WLM services for z/OS, including enclaves and application environments, and how they are used by DB2, WebSphere, and CICSAnalyze CPU performance when running in a shared LPAR environmentUtilize and monitor zIIP and zAAP specialty enginesMeasure and tune z/OS DASD, processor storage, and coupling facility configurationsExplain the functions and facilities of RMF and SMFAnalyze performance bottlenecks using RMFUse Workload License Charges (WLC), defined capacity and soft capping to manage software costsDescribe advanced z/OS environments that utilize Intelligent Resource Director (IRD), HiperDispatch, z/OSMF Workload Management, and I/O Priority ManagerUse the z/OSMF Workload Management (WLM) taskUse Performance Monitoring with z/OSMFModify a WLM service definition to meet the requirements for monitoring a specific system workloadCreate and customize Monitoring DesktopsReview any issues by using the Monitoring Desktops options displaysAssess the performance of the workloads running on the z/OS This course is designed for new performance analysts to learn to work with the Workload Manager (WLM) in goal mode. Learn concepts of WLM and performance management in the z/OS system using the WLM. Day 1 Welcome Unit 1 - Tuning methodology Unit 2 - Using SMF and RMF to monitor performance Lab 1 - Introduction to your system Lab 2 - Using RMF Monitor I and Monitor II Day 2 Unit 3 - Performance impacts when running in a shared LPAR environment Unit 4 - Basic system workload management (part 1) Lab 3 - Implementing a WLM environment on z/OS (part 1) Day 3 Unit 4 - Basic system workload management (part 2) Lab 3 - Implementing a WLM environment on z/OS (part 2) Day 4 Unit 5 - WLM commands, internals, and service Lab 4 - Using RMF Monitor III to solve performance problems Day 5 Unit 6 - z/OS DASD performance topics Unit 7 - Tuning processor storage Unit 8 - Miscellaneous performance topics Lab 5 - z/OSMF and performance management

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 1 Days 6 CPD hours This course is intended for This course is designed for non-technical business executives who are tasked with making business decisions about emerging technologies in their businesses. Overview You will learn:Blockchain Cloud BasicsIoT OverviewMobility and Ambient ComputingMachine Learning and Deep LearningChatbots, Robotics, and More This course is designed for non-technical business executives looking to learn and understand emerging technologies. Blockchain Cloud BasicsIoT OverviewMobility and Ambient ComputingMachine Learning and Deep LearningChatbots, Robotics, and More