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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 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Duration 3 Days 18 CPD hours This course is intended for This is an introductory level SQL course, appropriate for anyone needing to interface with an Oracle database or those needing a general understanding of Oracle database functionality. That would include end users, business analysts, application developers and database administrators. Overview Working in a hands on learning environment led by our expert practitioner, attendees will explore: Basic RDBMS Principles The SQL Language and Tools Using SQL Developer SQL Query Basics WHERE and ORDER BY Functions ANSI 92 Joins ANSI 99 Joins Subqueries Regular Expressions Analytics A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. A full presentation of the basics of relational databases and their use are also covered. Basic RDBMS Principles Relational design principles Accessing data through a structured query language Entity relationship diagrams Data Domains Null values Indexes Views Denormalization Data Model Review The SQL Language and Tools Using SQL*Plus Why Use SQL*Plus When Other Tools Are Available? Starting SQL*Plus EZConnect SQL Commands PL/SQL Commands SQL*Plus Commands The COLUMN Command The HEADING Clause The FORMAT Clause The NOPRINT Clause The NULL Clause The CLEAR Clause Predefined define variables LOGIN.SQL Command history Copy and paste in SQL*Plus Entering SQL commands Entering PL/SQL commands Entering SQL*Plus commands Default output from SQL*Plus Entering Queries What about PL/SQL? Using SQL Developer Choosing a SQL Developer version Configuring connections Creating A Basic Connection Creating A TNS Connection Connecting Configuring preferences Using SQL Developer The Columns Tab The Data Tab The Constraints Tab The Grants Tab The Statistics Tab Other Tabs Queries In SQL Developer Query Builder Accessing Objects Owned By Other Users The Actions Pulldown Menu Differences between SQL Developer and SQL*Plus Reporting Commands Missing In SQL Developer General Commands Missing In SQL Developer Data Dictionary report User Defined reports Using scripts in SQL Developer WHERE and ORDER BY WHERE clause basics Comparison operators Literals and Constants in SQL Simple pattern matching Logical operations The DUAL table Arithmetic operations Expressions in SQL Character operators Pseudo columns Order by clause basics Ordering Nulls Accent and case sensitive sorts Sampling data WHERE and ORDER BY in SQL Developer All, Any, Some Functions The basics of Oracle functions Number functions Character functions Date functions Conversion functions Other functions Large object functions Error functions The RR format mode; Leveraging your knowledge ANSI 92 JOINS Basics of ANSI 92 Joins Using Query Builder with multiple tables Table Aliases Outer joins Outer Joins In Query Builder Set operators Self-referential joins Non-Equijoins ANSI 99 Joins Changes with ANSI99 CROSS Join NATURAL Join JOIN USING JOIN ON LEFT / RIGHT OUTER JOIN FULL OUTER JOIN Subqueries Why use subqueries? WHERE clause subqueries FROM clause subqueries HAVING clause subqueries CORRELATED subqueries SCALAR subqueries DML and subqueries EXISTS subqueries Hierarchical queries TOP N AND BOTTOM N queries Creating subqueries using Query Builder Regular Expressions Available Regular Expressions Regular Expression Operators Character Classes Pattern matching options REGEX_LIKE REGEXP_SUBSTR REGEXP_INSTR REGEXP_REPLACE REGEXP_COUNT Analytics The WITH clause Reporting aggregate functions Analytical functions User-Defined bucket histograms The MODEL clause PIVOT and UNPIVOT Temporal validity More Analytics RANKING functions RANK DENSE_RANK CUME_DIST PERCENT_RANK ROW_NUMBER Windowing aggregate functions RATIO_TO_REPORT LAG / LEAD Linear Regression functions Inverse Percentile functions Hypothetical ranking functions Pattern Matching Additional course details: Nexus Humans Introduction to SQL Programming Basics (TTSQL002) 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 SQL Programming Basics (TTSQL002) 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 Overview By the end of the course, you should be able to meet the following objectives: List the operational challenges for rolling out and operating telco services including 5G. Identify the role of VMware Telco Cloud products in supporting telco services. Discuss the role of VMware technologies such as vSphere, NSX, and Tanzu etc. in implementing telco services. Outline the role of native tools and other VMware monitoring tools such as vRealize Operations and vRealize Log Insight in maintaining network services. Choose the VMware Telco Cloud products that meet your application requirements. Deploy a solution architecture that meet VMware best practices for delivering services using VMware Telco Cloud products. Implement and maintain VMware Telco Cloud products in a secure manner. Identify the tools and remediation pathways for maintaining the availability and performance of your applications and infrastructure using VMware Telco Cloud and vRealize Suite products. Follow specific steps to resolve application performance and availability problems Scale your VMware Telco Cloud products to meet operational requirements in line with VMware best practices. Optimize the operation of VMware Telco Cloud products to ensure SLAs are met. This five-day, hands-on training course provides the knowledge to operate and scale VMware Telco Cloud version 2.x products in a Telco cloud provider environment. In this course, you are exposed to the entire VMware Telco Cloud portfolio, and the tools and methodologies available to ensure they operate effectively. In addition, you are presented with various scenarios where you will be guided through the process of identifying, analyzing, and formulating solutions to performance and other problems. Course Introduction Introductions and course logistics Course objectives Overview of Network Transformation Reviews the technologies that enable modern networks Lists the components of modern service provider networks Outlines characteristics of modern service provider networks in meeting customer application needs Service Delivery with VMware Telco Cloud Outlines the components of the VMware Telco Cloud portfolio Reviews the role each VMware Telco Cloud product plays in delivering telco services Specifies the dependencies each product has on underlying technologies Supporting VMware Telco Cloud Service Delivery Reviews the products that implements the virtualization, management, platform, and orchestration layers Outlines the role played by other VMware products such as NSX in delivering cloud services Outline opensource integration options with VMware Telco Cloud products Securing VMware Telco Cloud Reviews security threats that affect telco services Identifies the critical telco assets that are prone to attack Outlines best practice for securing VMware Telco Cloud products and underlying technology Provides overview of appropriate security controls for VMware Telco Cloud products Assessing Service Provision Reviews tools and methodologies used to gather requirements Outlines how to assess cloud-native capabilities Documenting findings Identifying security vulnerabilities with Helm. Reviews VMware?s Customer Engagement process Capturing infrastructure requirements from TCA Designing a VMware Telco Cloud Solution Selecting appropriate deployment topology Pros and cons of design choices How a design choice might be affected by other factors such as NSX and TKG deployment, or data center architecture Outlines typical scenarios where specific products align with identified requirements Documenting a design Designing for availability Ensuring a design aligns with best practice Specifying monitoring options Implementing VMware Telco Cloud Products Review deployment options for VMware products Integrating new products with existing ones Outline post-installation tasks Adding the new products as data sources in monitoring tools such as vRealize Operations and vRealize Operations Network Insight Ensuring products meet security requirements Configuring monitoring software Outlines the xNF onboarding process in TCA Maintaining Telco Services Outlines typical administrative tasks in ensuring services are maintained Use of native and other VMware performance monitoring tools Reviewing performance data Role of SLAs in service maintenance Reviews scenarios where known behaviors indicate problems Troubleshooting Deployed Telco Services Reviews the troubleshooting tools available Using tools to gather useful data Outlines how event correlation can be used to isolate problems Using a methodology to determine the root cause of a problem Steps to identify and resolve a problem Reviews scenarios where known problems are isolated and resolution steps identified Scaling VMware Telco Cloud Products Assessing if operations are impacted by lack of resources now or will be in the future Reviews performance optimization options Identifies implications for other products if you scale VMware Telco Cloud products Reviews VMware sizing guidelines Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Telco Cloud: Day 2 Operate and Scale [V2.x] 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 Telco Cloud: Day 2 Operate and Scale [V2.x] 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 1 Days 6 CPD hours This course is intended for This course is intended for SharePoint administrators who work in a Windows network environment. At least one year of experience managing SharePoint servers and using PowerShell is recommended. Overview At Course Completion?Configure SharePoint Servers using PowerShell?Manage SharePoint Server Administration with PowerShell?Manage SharePoint Server Maintenance with PowerShell This course provides students with the knowledge and skills needed to use PowerShell to administer SharePoint Servers. Students will learn how to manage day-to-day and automated tasks carried out by SharePoint Administrators. Install and Configure SharePoint Servers with PowerShell Overview Preparing the Server Configure Server Features Configure Prerequisite Applications Install SharePoint Software Configure SharePoint Farm Review Lab 1: Configure SharePoint Servers with PowerShell Administering SharePoint Servers with PowerShell Overview Administering Users and Groups Administering the Farm Administering Shared Services & Features Administering Sites Administering Databases Review Lab 1: Administering SharePoint Servers with PowerShell Maintaining SharePoint Servers with PowerShell Overview Managing Backups / Restores Monitoring and Auditing Managing Notifications Scheduling Tasks Review Lab 1: Maintaining SharePoint Servers with PowerShell

Duration 2 Days 12 CPD hours This course is intended for Project Managers, Business Analysts, Business and IT stakeholders working with analysts Overview Provide a solid foundation for applying business process modeling principles and best practices with BPMN Demonstrate how to solve practical business problems using BPMN Business Process Diagrams (BPDs) Students will learn to map business processes easily and efficiently using the industry standard - BPMN which stands for Business Process Modeling Notation from the Object Management Group (OMG). Students will learn the best practices in process mapping using the latest industry standards (BPMN) so that both the business and IT stakeholders will be able to understand the models and map processes consistently through-out their organization. Introduction What is Business Process Modeling? What is Business Process Modeling Notation (BPMN)? Benefits of BPMN An Overview of Governance An overview of governance Key governance questions to ask What happens if you don?t have effective governance? Mapping the Business Problem Define a strategic outcomes map Define a Business model and relevant processes Modeling Simple BPMN Structures When do you use BPMN? What are simple BPMN structures? AS-IS vs. TO-BE modeling Modeling Complex BPMN Structures What are complex BPMN structures When to use complex BPMN structures Analyzing Process Models Identifying poor process models Creating process models that everyone can understand Identify criteria for a well-defined process Process Mapping vs. Process Modeling Determine when to create a process map Determine when to create a process model Asking the four ?Ares? Additional Resources Learning about BPMN 2.0 More useful BPMN links BPMN 2.0 free editors

Duration 1.5 Days 9 CPD hours This course is intended for This course is designed for WebSphere administrators who have experience with stand-alone application server environments, and want to learn about creating and managing a federated environment. Overview After completing this course, you should be able to: Describe the architectural concepts that are related to WebSphere Application Server Network Deployment Create a deployment manager instance Federate an application server to a cell Add a stand-alone application server to a WebSphere Application Server cell Cluster an application server within a WebSphere Application Server cell Configure WebSphere Application Server SSL security settings Deploy applications in clustered environments Describe the features of Intelligent Management This course teaches you the skills that are needed to administer IBM WebSphere Application Server V9 in a federated environment.This release of IBM WebSphere Application Server provides enhanced support for standards (notably Java 7 EE), emerging technology, and a choice of development frameworks.In this course, you learn how to configure and maintain IBM WebSphere Application Server V9 Network Deployment. You learn how to deploy and create a deployment manager and federate a cell. In addition, you learn how to create a cluster within the federated cell.Throughout the course, hands-on exercises and demonstrations reinforce lecture content. You gain practicalexperience with WebSphere Application Server V9 by completing tasks such as creating a deployment manager, federating a stand-alone application server, creating a custom profile, and clustering an existing application server. Course Introduction WebSphere Application Server architecture: Federated Federating a cell Exercise: Configuring the lab workstation Exercise: Creating a federated cell Workload management Exercise: Clustering and workload management WebSphere security: SSL Exercise: Configuring SSL for WebSphere Overview of Intelligent Management Course summary

Duration 5 Days 30 CPD hours This course is intended for IT professionals who have attended Red Hat System Administration I and want the skills to be full-time enterprise Linux administrators and/or earn RHCSA certifications This course focuses on the key tasks needed to become a full time Linux administrator and goes deeper into enterprise Linux administration including file systems and partitioning, logical volumes, SELinux, firewalling, and troubleshooting. Automate installation with Kickstart Automate the installation of Red Hat Enterprise Linux systems with Kickstart Use regular expressions with grep Write regular expressions that, when partnered with grep, will allow you to quickly isolate or locate content within text files. Create and Edit text files with vim Introduce the vim text editor, with which you can open, edit, and save text files. Schedule future Linux tasks Schedule tasks to automatically execute in the future. Manage priority of Linux processes Influence the relative priorities at which Linux processes run. Control access to files with access control lists (ACL) Manage file security using POSIX access control lists. Manage SELinux security Manage the Security Enhanced Linux (SELinux) behavior of a system to keep it secure in case of a network service compromise. Connect to network-defined users and groups Configure systems to use central identity management services. Add disks, partitions, and file systems to a Linux system Manage simple partitions and file systems. Manage logical volume management (LVM) storage Manage logical volumes from the command line. Access networked attached storage with network file system (NFS) Access (secure) NFS shares. Access networked storage with SMB Use autofs and the command line to mount and unmount SMB file systems. Control and troubleshoot the Red Hat Enterprise Linux boot process Limit network communication with firewall, Configure a basic firewall. Comprehensive review Practice and demonstrate knowledge and skills learned in this course.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for IoT practitioners who are looking to improve their skills and knowledge of IoT security and privacy. This course is also designed for students who are seeking the CertNexus Certified Internet of Things Security Practitioner (CIoTSP) certification and who want to prepare for Exam ITS-110. Overview This program will validate that the candidate has the knowledge, skills, and abilities to secure network environments for IoT devices, analyze vulnerabilities and determine reasonable controls against threats, and effectively monitor IoT devices and respond to incidents. This course is designed for practitioners who are seeking to demonstrate a vendor-neutral, cross-industry skill set that will enable them to design, implement, operate, and/or manage a secure IoT ecosystem. Managing IoT Risks Map the IoT Attack Surface Build in Security by Design Securing Web and Cloud Interfaces Identify Threats to IoT Web and Cloud Interfaces Prevent Injection Flaws Prevent Session Management Flaws Prevent Cross-Site Scripting Flaws Prevent Cross-Site Request Forgery Flaws Prevent Unvalidated Redirects and Forwards Securing Data Use Cryptography Appropriately Protect Data in Motion Protect Data at Rest Protect Data in Use Controlling Access to IoT Resources Identify the Need to Protect IoT Implement Secure Authentication Implement Secure Authorization Implement Security Monitoring on IoT Systems Securing IoT Networks Ensure the Security of IP Networks Ensure the Security of Wireless Networks Ensure the Security of Mobile Networks Ensure the Security of IoT Edge Networks Ensuring Privacy Improve Data Collection to Reduce Privacy Concerns Protect Sensitive Data Dispose of Sensitive Data Managing Software and Firmware Risks Manage General Software Risks Manage Risks Related to Software Installation and Configuration Manage Risks Related to Software Patches and Updates Manage Risks Related to IoT Device Operating Systems and Firmware Promoting Physical Security Protect Local Memory and Storage Prevent Physical Port Access

Duration 2 Days 12 CPD hours This course is intended for This in an introductory-level class for intermediate skilled team members. Students should have prior software development experience or exposure, have some basic familiarity with containers, and should also be able to navigate the command line. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment led by our expert facilitator, students will explore: What a Kubernetes cluster is, and how to deploy and manage them on-premises and in the cloud. How Kubernetes fits into the cloud-native ecosystem, and how it interfaces with other important technologies such as Docker. The major Kubernetes components that let us deploy and manage applications in a modern cloud-native fashion. How to define and manage applications with declarative manifest files that should be version-controlled and treated like code. Containerization has taken the IT world by storm in the last few years. Large software houses, starting from Google and Amazon, are running significant portions of their production load in containers. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. This is a hands-on workshop style course that teaches core features and functionality of Kubernetes. You will leave this course knowing how to build a Kubernetes cluster, and how to deploy and manage applications on that cluster. Getting Started Our sample application Kubernetes concepts Declarative vs imperative Kubernetes network model First contact with kubectl Setting up Kubernetes Working with Containers Running our first containers on Kubernetes Exposing containers Shipping images with a registry Running our application on Kubernetes Exploring the Kubernetes Dashboard The Kubernetes dashboard Security implications of kubectl apply Scaling a deployment Daemon sets Labels and selectors Rolling updates Next Steps Accessing logs from the CLI Managing stacks with Helm Namespaces Next steps