30988 OV courses

Duration 2 Days 12 CPD hours This course is intended for Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialist Anyone who builds and develops IT systems Overview Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to preempt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal The Principles of Privacy in Technology training is the how to course on privacy and data protection practices in the development, engineering, deployment and auditing of IT products and services. Those taking the course will develop an understanding of privacy-related issues and practices in the context of the design and implementation of information and communication technologies and systems. The training is based on the body of knowledge for the IAPP?s ANSI accredited Certified Information Privacy Technologist (CIPT) certification program. Fundamentals of information privacy Reviewing the modern history of privacy Foundational privacy concepts Data protection roles and fair information practices Exploring the impacts of privacy and data protection regulations on information management Privacy in the IT environment Compliance requirements IT risks Stakeholder privacy expectations Differentiating between privacy and security Core privacy concepts Foundational elements for embedding privacy in IT Common privacy principles Data protection by design and default Privacy considerations in the information life cycle Privacy considerations throughout the stages of the information life cycle Privacy in systems and applications Examining the risks inherent in the IT environment and options for addressing them Identity and access management Credit card information and processing Remote access BYOD and telecommuting Data encryption Additional privacy-enhancing technologies in the enterprise environment Privacy techniques Strengths and weaknesses of authentication techniques Using identifiers Privacy by design Online privacy issues Unique challenges that come from online privacy issues Laws and regulations Online threats Social media E-commerce Tracking technologies Web security protocols Technologies with privacy considerations Privacy considerations associated with a variety of technologies Cloud computing Wireless IDs Location-based services ?Smart? technologies Video/data/audio surveillance Biometric recognition

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their Python proficiencies. Overview In this course, students will expand their Python proficiencies. Students will: Create object-oriented Python applications. Design and create a GUI. Store data in a database from Python applications. Communicate using client/server network protocols. Manage multiple processes with threading. Implement unit testing. Package an application for distribution. Students will build upon basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, threading, unit testing, and creating and installing packages. Usinig Object-Oriented Python Create and Use Classes in an Application Use Magic Methods Incorporate Class Factories Creating a GUI Design a GUI Create and Arrange a GUI Layout Interact with User Events Using Databases Basics of Data Management Use SQLite Databases Manipulate SQL Data Network Programming Basics of Network Programming Create a Client/Server Program Managing Multiple Processes with Threading Create a Threaded Application Manage Thread Resources Implementing Unit Testing Test-Driven Development Write and Run a Unit Test Case Create a Test Suite Packaging an Application for Distribution Create a Package Structure Generate the Package Distribution Files Generate a Windows Executable Additional course details: Nexus Humans Python Programming - Advanced 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 Python Programming - Advanced 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 Channel Field Engineers Employees Overview After taking this course, you should be able to: Define Cisco Business TelePresence Solutions components and architectures Implement Cisco TelePresence Video Communication Server (Expressway) for basic and advanced video networks Implement Cisco TelePresence Management Suite (TMS) Configure Cisco Meeting Server Features Define integration of Cisco Collaboration Premise Solutions with Cisco Cloud, including Cisco Spark, Cisco Spark Hybrid, and WebEx Cisco Video Infrastructure Implementation (VII) v1.0 will provide you with the necessary knowledge and skills to implement a complete Cisco TelePresence solution, including TelePresence endpoints, integration of premise with cloud solutions, meeting solutions, and management software. It describes Cisco business TelePresence solutions and enables students to implement and troubleshoot basic and advanced TelePresence network solutions. Module 1: Advanced Cisco Expressway Features Lesson 1: Introducing Cisco Video Network Solutions Lesson 2: Exploring Cisco Expressway Basic Setup Lesson 3: Explaining Regular Expressions in a Cisco Expressway Environment Lesson 4: Deploying Components of Cisco Expressway Security Lesson 5: Exploring the Fundamentals of Subzones on a Cisco Expressway Lesson 6: Administering Call Control on a Cisco Expressway Lesson 7: Implementing Subzone Bandwidth Management on a Cisco Expressway Lesson 8: Implementing Zones on a Cisco Expressway Lesson 9: Exploring Clustering on the Cisco Expressway Lesson 10: Applying Troubleshooting on the Cisco Expressway Module 2: Advanced Cisco Meeting Server Features Lesson 1: Introducing the Cisco Meeting Server Lesson 2: Exploring Cisco Meeting Server API Configuration Lesson 3: Exploring Cisco Meeting Server Resilient and Scalable Deployments Lesson 4: Exploring Additional Features with Cisco Meeting Server Module 3: Cisco Collaboration Meetin gRoom Solutions wiht Cisco TelePresence Server Lesson 1: Introducing Cisco Collaboration Meeting Room Cloud, Premises, and Hybrid Products Lesson 2: Deploying the Cisco TelePresence Server and Cisco TelePresence Conductor Lesson 3: Applying Troubleshooting to Cisco CMR Premises Solutions Module 4: Cisco TelePresence Management Suite Solution Lesson 1: Explaining Cisco TMS Installation Lesson 2: Describing Cisco TMS Operation Lesson 3: Explaining Cisco TMS Conference Scheduling and Management Lesson 4: Configuring Permissions on Cisco TMS for Administration Lesson 5: Applying Troubleshooting to Cisco TMS Module 5: Cisco Cloud Solutions?WebEx and Spark Lesson 1: Introducing Cisco WebEx and Cisco Spark Cloud Solutions Lesson 2: Exploring Cisco Spark Administration Configuration Lesson 3: Deploying Cisco Spark Hybrid Services Lesson 4: Exploring Cisco Spark APIs and BOTs Configuration Module 6: Cisco TelePresence Content Server (Optional Module) Lesson 1: Examining Cisco TCS Operation and Configuration

Duration 5 Days 30 CPD hours This course is intended for Database and system administrators Overview Manage physical data replacement and storageCreate, backup and restore databasesCreate and manage multiple temporary databases In this course, students learn how to manage physical data replacement and storage, create, backup and restore databases, and create and manage multiple temporary databases. SAP Adaptive Server Enterprise (ASE) Explaining SAP ASE Describing the Database Architecture Using Query Editors Installation Installing Servers Identifying Installation Parameters Starting and Stopping SAP ASE Connecting Clients to the Server Database Server Configuration Explaining the Server Configuration File Modifying the Server Configuration File Explaining Memory Mechanisms Configuring Memory Configuring the Size of Caches Space Management Creating Devices Managing Devices Mirroring Devices Creating Databases Managing Databases Managing Disk Resources Managing Temporary Databases Security Managing Roles Creating Logins Managing Logins Managing Database Users Managing Creation Permissions Managing Object Permissions Creating Groups Creating Roles Maintenance Using SAP ASE Extraction Utilities Using the Bulk Copy Utility Explaining Automatic Recovery Ensuring Database Consistency Setting Up the High Speed Consistency Checker Backup Planning for Backups Executing Database Backups Restoring Database Backups Performing Transaction Log Backups Using Advanced Backup Techniques Monitoring Using SAP DB Control Center Monitoring SAP ASE Additional course details: Nexus Humans EDB358 SAP System and Database Administration - Adaptive Server Enterprise 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 EDB358 SAP System and Database Administration - Adaptive Server Enterprise 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 is an introductory-level course designed to teach experienced systems administrators how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Previous Hadoop experience is not required. Overview Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn to: Understand the benefits of distributed computing Understand the Hadoop architecture (including HDFS and MapReduce) Define administrator participation in Big Data projects Plan, implement, and maintain Hadoop clusters Deploy and maintain additional Big Data tools (Pig, Hive, Flume, etc.) Plan, deploy and maintain HBase on a Hadoop cluster Monitor and maintain hundreds of servers Pinpoint performance bottlenecks and fix them Apache Hadoop is an open source framework for creating reliable and distributable compute clusters. Hadoop provides an excellent platform (with other related frameworks) to process large unstructured or semi-structured data sets from multiple sources to dissect, classify, learn from and make suggestions for business analytics, decision support, and other advanced forms of machine intelligence. This is an introductory-level, hands-on lab-intensive course geared for the administrator (new to Hadoop) who is charged with maintaining a Hadoop cluster and its related components. You will learn how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Introduction Hadoop history and concepts Ecosystem Distributions High level architecture Hadoop myths Hadoop challenges (hardware / software) Planning and installation Selecting software and Hadoop distributions Sizing the cluster and planning for growth Selecting hardware and network Rack topology Installation Multi-tenancy Directory structure and logs Benchmarking HDFS operations Concepts (horizontal scaling, replication, data locality, rack awareness) Nodes and daemons (NameNode, Secondary NameNode, HA Standby NameNode, DataNode) Health monitoring Command-line and browser-based administration Adding storage and replacing defective drives MapReduce operations Parallel computing before MapReduce: compare HPC versus Hadoop administration MapReduce cluster loads Nodes and Daemons (JobTracker, TaskTracker) MapReduce UI walk through MapReduce configuration Job config Job schedulers Administrator view of MapReduce best practices Optimizing MapReduce Fool proofing MR: what to tell your programmers YARN: architecture and use Advanced topics Hardware monitoring System software monitoring Hadoop cluster monitoring Adding and removing servers and upgrading Hadoop Backup, recovery, and business continuity planning Cluster configuration tweaks Hardware maintenance schedule Oozie scheduling for administrators Securing your cluster with Kerberos The future of Hadoop

Duration 3 Days 18 CPD hours This course is intended for Application Developer Data Modeler BI / BW Consultant Data Scientist Database Administrator SAP HANA Support Personnel Overview This course will prepare you to: Push down data intensive tasks to the SAP HANA database using SQL and SQLScript Understand how to code using advanced SQLScript techniques Follow recommended practices for writing optimal SQL and SQLScript Debug and analyze SQL and SQLScript code This course provides students with basic SQL knowledge or refreshes their SQL knowledge, and enables them to use basic and some advanced SQL techniques for querying and manipulating data in an SAP HANA database. Getting Started What is SQL and SQLScript? Understanding how ABAP developers work with SQLScript Understanding XS Advanced and HDI Working with Web IDE for SAP HANA Understanding the course data SQL Logic Container Creating user-defined functions Creating database procedures Trapping errors in SQLScript User defined libraries Declarative Logic Using declarative logic Imperative Logic Using imperative Logic Transactional Savepoints How to implement transactional savepoints Analytic Operations Using OLAP Analytic features Implementing Temporal Tables Working with Hierarchies Working with Hierarchies Troubleshooting and Best Practices Tools for troubleshooting Best Practices Appendix Starting from the beginning with SQL fundamentals Additional course details: Nexus Humans HA150 SAP HANA 2.0 SPS05 SQLScript for SAP HANA 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 HA150 SAP HANA 2.0 SPS05 SQLScript for SAP HANA 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 intended for: Network administrators Network engineers with little or no programming or Python experience Network managers Systems engineers Overview After taking this course, you should be able to: Create a Python script Describe data types commonly used in Python coding Describe Python strings and their use cases Describe Python loops, conditionals, operators, and their purposes and use cases Describe Python classes, methods, functions, namespaces, and scopes Describe the options for Python data manipulation and storage Describe Python modules and packages, their uses, and their benefits Explain how to manipulate user input in Python Describe error and exception management in Python Describe Python code debugging methods The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts. Course outline Introducing Programmability and Python for Network Engineers Scripting with Python Examining Python Data Types Manipulating Strings Describing Conditionals, Loops, and Operators Exploring Classes, Methods, Functions, Namespaces, and Scopes Exploring Data Storage Options Exploring Python Modules and Packages Gathering and Validating User Input Analyzing Exceptions and Error Management Examining Debugging Methods Course Summary Lab outline Execute Your First Python Program Use the Python Interactive Shell Explore Foundation Python Data Types Explore Complex Python Data Types Use Standard String Operations Use Basic Pattern Matching Reformat MAC Addresses Use the if-else Construct Use for Loops Use while Loops Create and Use Functions Create and Use Classes Use the Python main() Construct Traverse the File Structure Read Data in Comma-Separated Values (CSV) Format Read, Store, and Retrieve Data in XML Format Read, Store, and Retrieve Date in JavaScript Object Notation (JSON) Format Read, Store, and Retrieve Data in a Raw or Unstructured Format Import Modules from the Python Standard Library Import External Libraries Create a Python Module Prompt the User for Input Use Command-Line Arguments Manage Exceptions with the try-except Structure Manage Exceptions with the try-except-finally Structure Use Assertions Use Simple Debugging Methods Use the Python Debugger Code a Practical Debugging Script

Duration 3 Days 18 CPD hours This course is intended for If you have worked in C++ but want to learn how to make the most of this language, especially for large projects, this course is for you. Overview By the end of this course, you'll have developed programming skills that will set you apart from other C++ programmers. After completing this course, you will be able to: Delve into the anatomy and workflow of C++ Study the pros and cons of different approaches to coding in C++ Test, run, and debug your programs Link object files as a dynamic library Use templates, SFINAE, constexpr if expressions and variadic templates Apply best practice to resource management This course begins with advanced C++ concepts by helping you decipher the sophisticated C++ type system and understand how various stages of compilation convert source code to object code. You'll then learn how to recognize the tools that need to be used in order to control the flow of execution, capture data, and pass data around. By creating small models, you'll even discover how to use advanced lambdas and captures and express common API design patterns in C++. As you cover later lessons, you'll explore ways to optimize your code by learning about memory alignment, cache access, and the time a program takes to run. The concluding lesson will help you to maximize performance by understanding modern CPU branch prediction and how to make your code cache-friendly. Anatomy of Portable C++ Software Managing C++ Projects Writing Readable Code No Ducks Allowed ? Types and Deduction C++ Types Creating User Types Structuring our Code No Ducks Allowed ? Templates and Deduction Inheritance, Polymorphism, and Interfaces Templates ? Generic Programming Type Aliases ? typedef and using Class Templates No Leaks Allowed ? Exceptions and Resources Exceptions in C++ RAII and the STL Move Semantics Name Lookup Caveat Emptor Separation of Concerns ? Software Architecture, Functions, and Variadic Templates Function Objects and Lambda Expressions Variadic Templates The Philosophers' Dinner ? Threads and Concurrency Synchronous, Asynchronous, and Threaded Execution Review Synchronization, Data Hazards, and Race Conditions Future, Promises, and Async Streams and I/O File I/O Implementation Classes String I/O Implementation I/O Manipulators Making Additional Streams Using Macros Everybody Falls, It's How You Get Back Up ? Testing and Debugging Assertions Unit Testing and Mock Testing Understanding Exception Handling Breakpoints, Watchpoints, and Data Visualization Need for Speed ? Performance and Optimization Performance Measurement Runtime Profiling Optimization Strategies Cache Friendly Code

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Architecture and course review Post course knowledge check Architecture review Course review

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course are Application Consultants, Developers, Developer Consultants, and Technology Consultants. Overview Define Data ServicesDefine Source and Target ConnectionsTrace, Validate, and Debug Data Services JobsUse Data Services TransformsImplement Change Data Capture in Data Services In this course, students will learn how to define data services, source, and target connections, as well as use data services transforms and implement change in data capture within data services. Data Services Defining Data Services Source and Target Metadata Defining Datastores in Data Services Defining a Data Services Flat File Format Batch Job Creation Creating Batch Jobs Batch Job Troubleshooting Writing Comments with Descriptions and Annotations Validating and Tracing Jobs Debugging Data Flows Auditing Data Flows Functions, Scripts, and Variables Using Built-In Functions Using Variables, Parameters, and Scripts Platform Transforms Using Platform Transforms Using the Map Operation Transform Using the Validation Transform Using the Merge Transform Using the Case Transform Using the SQL Transform Error Handling Setting Up Error Handling Changes in Data Capturing Changes in Data Using Source-Based Change Data Capture (CDC) Using Target-Based Change Data Capture (CDC) Data Services (Integrator) Platform Transforms Using Data Services (Integrator) Platform Transforms Using the Pivot Transform Using the Data Transfer Transform Additional course details: Nexus Humans DS10 SAP Data Services - Platform and Transforms 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 DS10 SAP Data Services - Platform and Transforms 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.