401 Shell courses delivered Online

Duration 2 Days 12 CPD hours This course is intended for This course is intended for system and network administrators responsible for installation, setup, configuration, and administration of BIG-IP DNS systems. This course gives networking professionals a functional understanding of the BIG-IP DNS system as it is commonly used. The course covers configuration and ongoing management of the BIG-IP DNS system, and includes a combination of lecture, discussion, and hands-on labs. Module 1: Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Archiving the BIG-IP Configuration Leveraging F5 Support Resources and Tools Provision the BIG-IP System and Confirm Network Configuration Module 2: Introducing the Domain Name System (DNS) and BIG-IP DNS Understanding the Domain Name System (DNS) Reviewing the Name Resolution Process Implementing BIG-IP DNS Using DNS Resolution Diagnostic Tools Module 3: Accelerating DNS Resolution Introducing DNS Resolution with BIG-IP DNS BIG-IP DNS Resolution Decision Flow Configuring BIG-IP DNS Listeners Resolving DNS Queries in the Labs (Lab Zone Records) Load Balancing Queries to a DNS Server Pool Accelerating DNS Resolution with DNS Cache Accelerating DNS Resolution with DNS Express Introducing Wide IPs Using Other Resolution Methods with BIG-IP DNS Integrating BIG-IP DNS into Existing DNS Environments Module 4: Implementing Intelligent DNS Resolutions Introducing Intelligent DNS Resolution Identifying Physical Network Components Identifying Logical Network Components Collecting Metrics for Intelligent Resolution Configuring Data Centers Configuring a BIG-IP DNS System as a Server Configuring a BIG-IP LTM System as a Server Establishing iQuery Communication between BIG-IP Systems Configuring a Non-F5 Server Defining Links and Routers Configuring Wide IP Pools Configuring Wide IPs Managing Object Status Using the Traffic Management Shell (TMSH) Module 5: Using LDNS Probes and Metrics Introducing LDNS Probes and Metrics Types of LDNS Probes Excluding an LDNS from Probing Configuring Probe Metrics Collection Module 6: Load Balancing Intelligent DNS Resolution Introducing Load Balancing on BIG-IP DNS Using Static Load Balancing Methods Round Robin Ratio Global Availability Static Persist Other Static Load Balancing Methods Using Dynamic Load Balancing Methods Round Trip Time Completion Rate CPU Hops Least Connections Packet Rate Kilobytes per Second Other Dynamic Load Balancing Methods Virtual Server Capacity Virtual Server Score Using Quality of Service Load Balancing Persisting DNS Query Responses Configuring GSLB Load Balancing Decision Logs Using Manual Resume Using Topology Load Balancing Module 7: Monitoring Intelligent DNS Resources Exploring Monitors Configuring Monitors Assigning Monitors to Resources Monitoring Best Practices Module 8: Advanced BIG-IP DNS Topics Implementing DNSSEC Setting Limits for Resource Availability Using iRules with Wide IPs Introducing Other Wide IP Types Implementing BIG-IP DNS Sync Groups Module 9: Final Configuration Projects Final Configuration Projects

Duration 2 Days 12 CPD hours This course is intended for The audience for this course is an AWS Sysops Administrator Associate or equivalent. This person has one to two years of experience in AWS deployment, management, and operations. Students taking this course are interested in learning how Azure is different from AWS, and how Azure is administered. Students may also be interested in taking the AZ-103 Microsoft Azure Administrator certification exam, or the AZ-900 Azure Fundamentals exam. This two-day course is designed for AWS Sysops administrators interested in learning how Azure is administered. In this workshop which combines lecture with hands-on practical exercises and discussion/review, you will be introduced to Azure Administration, Azure Networking, Azure Compute, Azure Storage, and Azure Governance. During the workshop, you will apply this knowledge - building end-to-end architecture that demonstrates the main features discussed. Azure Administration In this module, you?ll learn about the tools and principle concepts needed to administer Azure. Topics include: Resource Manager, Resource Groups, Azure Portal, Azure CLI, Azure Templates, Cloud Shell, Azure Marketplace, and Azure PowerShell. Azure Networking In this module, you?ll learn about Azure networking features. Topics include: Azure Regions, Virtual Networks and Subnets, IP Addressing, Network Security Groups, Virtual Network Peering, VNet-to-VNet Connections, ExpressRoute, Load Balancers, and Network Watcher. Azure Compute In this module, you?ll learn about configuring and monitoring Azure virtual machines. Topics include: Azure Virtual Machines, Creating Virtual Machines, Virtual Machine Sizes, Virtual Machine Disks, Availability Zones, Availability Sets, Windows VM Connections, Linux VM Connections, Azure Monitor, and Azure Alerts. Azure Storage In this module, you?ll learn about Azure storage features and implementation. Topics include: Storage Accounts, Blob Storage, Blob Performance Tiers, File Shares, File Sync, Data Box, Content Delivery Network, Shared Access Signatures, and Service Endpoints. Azure Identity In this module, you?ll learn about Azure identity solutions. Topics include: Azure Domains, Role-based Access Control, Azure Active Directory, Multi-Factor Authentication, Azure AD Identity Protection, and Azure Policy. Additional course details: Nexus Humans AZ-010T00 Azure Administration for AWS SysOps 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 AZ-010T00 Azure Administration for AWS SysOps 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 Linux Professional Institute Certification (LPIC-2) 202 training is suitable for individuals with roles of: System administrator Network administrator Technician DevOps Overview Upon successful completion of this course, students will be able to: configure BIND to function as an authoritative and as a recursive, caching-only DNS server install and configure a web server install and configure a proxy server, including access policies, authentication and resource usage set up a Samba server for various clients configure a DHCP server configure PAM to support authentication using various available methods perform queries and updates to an LDAP server configure a basic OpenLDAP server including knowledge of LDIF format and essential access controls manage an e-mail server, including the configuration of e-mail aliases, e-mail quotas and virtual e-mail domains configure an FTP server for anonymous downloads and uploads receive security alerts from various sources, install, configure and run intrusion detection systems and apply security patches and bugfixes configure a VPN (Virtual Private Network) and create secure point-to-point or site-to-site connections. This course prepares students to take the 202 exam of the LPI level 2 certification. To gain LPIC-2 certification, an individual should have an active LPIC-1 certification. Domain Name Server Basic DNS server configuration Create and maintain DNS zones Securing a DNS server HTTP Services Basic Apache configuration Apache configuration for HTTPS Implementing Squid as a caching proxy Implementing Nginx as a web server and a reverse proxy File Sharing Samba Server Configuration NFS Server Configuration Network Client Management DHCP configuration PAM authentication LDAP client usage Configuring an OpenLDAP server E-Mail Services Using e-mail servers Managing E-Mail Delivery Managing Mailbox Access System Security Configuring a router Managing FTP servers Secure shell (SSH) Security tasks OpenVPN Additional course details: Nexus Humans Linux Professional Institute Certification (LPIC-2) 202 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 Linux Professional Institute Certification (LPIC-2) 202 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 3.5 Days 21 CPD hours This course is intended for This course is for AWS Cloud Architects with expertise in designing and implementing solutions running on AWS who now want to design for Microsoft Azure. Overview After completing this course, students will be able to: Secure identities with Azure Active Directory and users and groups. Implement identity solutions spanning on-premises and cloud-based capabilities Apply monitoring solutions for collecting, combining, and analyzing data from different sources. Manage subscriptions, accounts, Azure policies, and Role-Based Access Control. Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI. Configure intersite connectivity solutions like VNet Peering, and virtual network gateways. Administer Azure App Service, Azure Container Instances, and Kubernetes. This course teaches Solutions Architects who have previously designed for Amazon Web Services how to translate business requirements into secure, scalable, and reliable solutions for Azure. Introduction to Azure Subscriptions and accounts Resource groups and templates in Azure Resource Manager Azure global infrastructure Azure regions Azure Availability Zones Comparison with AWS Implement Azure Active Directory Introduction to Azure Active Directory Domains and custom domains Safety features Guest users in Azure Active Directory Manage multiple directories Comparison with AWS Implement and manage hybrid identities Introduction to Azure AD Connect Comparison with AWS Implement virtual networking Azure Virtual Network and VNet peering VPN and ExpressRoute connections Comparison with AWS Implement VMs for Windows and Linux Configure high availability Comparison with AWS Implement load balancing and network security Implement Azure Load Balancer Implement an Azure Application Gateway Implement Azure Firewall Implement network security groups and application security groups Comparison with AWS Implement container-based applications Configure Azure Kubernetes Service Publish a solution on an Azure Container Instance Comparison with AWS Implement an application infrastructure Create an App Service plan Create and configure Azure App Service Configure networking for an App Service Introduction to Logic Apps and Azure Functions Comparison with AWS Implement storage accounts Azure Storage core concepts Managing the Azure Blob storage lifecycle Working with Azure Blob storage Comparison with AWS Implement NoSQL databases Introduction to Azure Cosmos DB Consistency Select appropriate CosmosDB APIs Set up replicas in CosmosDB Comparison with AWS DynamoDB Implement Azure SQL databases Configure Azure SQL database settings Implement Azure SQL Database managed instances Configure high availability for an Azure SQL database Comparison with AWS Implement cloud infrastructure monitoring Monitor security Monitor cost Configure a Log Analytics workspace Comparison with AWS Implement and manage Azure governance solutions Assign RBAC roles Configure management access to Azure Implement and configure an Azure Policy Comparison with AWS Manage security for applications Implement Azure Key Vault Implement and configure Azure AD Managed Identities Register and manage applications in Azure AD Comparison with AWS Migration, backup, and disaster recovery management Migrate workloads Implement Azure Backup for VMs Implement disaster recovery Comparison with AWS

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 3 Days 18 CPD hours This course is intended for This course is intended for system and network administrators responsible for installation, setup, configuration, and administration of the BIG-IP LTM system. This course gives network professionals a functional understanding of BIG-IP Local Traffic Manager, introducing students to both commonly used and advanced BIG-IP LTM features and functionality. Incorporating lecture, extensive hands-on labs, and classroom discussion, the course helps students build the well-rounded skill set needed to manage BIG-IP LTM systems as part of a flexible and high performance application delivery network. Module 1: Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Archiving the BIG-IP Configuration Leveraging F5 Support Resources and Tools Module 2: Reviewing Local Traffic Configuration Reviewing Nodes, Pools, and Virtual Servers Reviewing Address Translation Reviewing Routing Assumptions Reviewing Application Health Monitoring Reviewing Traffic Behavior Modification with Profiles Reviewing the TMOS Shell (TMSH) Reviewing Managing BIG-IP Configuration Data Module 3: Load Balancing Traffic with LTM Exploring Load Balancing Options Using Priority Group Activation and Fallback Host Comparing Member and Node Load Balancing Module 4: Modifying Traffic Behavior with Persistence Reviewing Persistence Introducing SSL Persistence Introducing SIP Persistence Introducing Universal Persistence Introducing Destination Address Affinity Persistence Using Match Across Options for Persistence Module 5: Monitoring Application Health Differentiating Monitor Types Customizing the HTTP Monitor Monitoring an Alias Address and Port Monitoring a Path vs. Monitoring a Device Managing Multiple Monitors Using Application Check Monitors Using Manual Resume and Advanced Monitor Timer Settings Module 6: Processing Traffic with Virtual Servers Understanding the Need for Other Virtual Server Types Forwarding Traffic with a Virtual Server Understanding Virtual Server Order of Precedence Path Load Balancing Module 7: Processing Traffic with SNATs Overview of SNATs Using SNAT Pools SNATs as Listeners SNAT Specificity VIP Bounceback Additional SNAT Options Network Packet Processing Module 8: Modifying Traffic Behavior with Profiles Profiles Overview TCP Express Optimization TCP Profiles Overview HTTP Profile Options OneConnect Offloading HTTP Compression to BIG-IP HTTP Caching Stream Profiles F5 Acceleration Technologies Module 9: Selected Topics VLAN, VLAN Tagging, and Trunking Restricting Network Access SNMP Features Segmenting Network Traffic with Route Domains Module 10: Deploying Application Services with iApps Simplifying Application Deployment with iApps Using iApps Templates Deploying an Application Service Leveraging the iApps Ecosystem on DevCentral Module 11: Customizing Application Delivery with iRules and Local Traffic Policies Getting Started with iRules Configuring and Managing Policy Rules Module 12: Securing Application Delivery with LTM Understanding Today?s Threat Landscape Integrating LTM Into Your Security Strategy Defending Your Environment Against SYN Flood Attacks Defending Your Environment Against Other Volumetric Attacks Addressing Application Vulnerabilities with iRules and Local Traffic Policies Detecting and Mitigating Other Common HTTP Threats Module 13: Final Lab Project About the Final Lab Project

Get ready for an exceptional online learning experience with the Coding (C++, Python, JavaScript & IT) bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. This Coding (C++, Python, JavaScript & IT) is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Coding package has something for everyone. As part of the Coding (C++, Python, JavaScript & IT) package, you will receive complimentary PDF certificates for all courses in Coding bundle at no extra cost. Equip yourself with the Coding bundle to confidently navigate your career path or personal development journey. Enroll in our Coding bundle today and start growing your career! This Coding Bundle Comprises the Following CPD Accredited Courses: Course 01: Introduction to Coding With HTML, CSS, & Javascript Course 02: C++ Development: The Complete Coding Guide Course 03: Python Programming: Beginner To Expert Course 04: Learn Ethical Hacking From A-Z: Beginner To Expert Course 05: Bash Scripting, Linux and Shell Programming Course 06: JavaScript Project - Game Development with JS Course 07: R Programming for Data Science Course 08: Secure Programming of Web Applications Course 09: Advanced Diploma in PHP Web Development with MySQL, GitHub & Heroku Course 10: The Complete Front-End Web Development Course! Course 11: The Complete MySQL Server from Scratch: Bootcamp Course 12: Cyber Security Awareness Training Course 13: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 14: CompTIA A+ (220-1001) Course 15: Building Your Own Computer Course 16: Computer Networks Security from Scratch to Advanced Course 17: IT Administration and Networking Course 18: Encryption Course 19: Advance Windows 10 Troubleshooting for IT HelpDesk Course 20: Microsoft Excel Complete Course Learning Outcome: By completing the Coding (C++, Python, JavaScript & IT) course, you will: Gain comprehensive insights into multiple fields. Foster critical thinking and problem-solving skills across various disciplines. Understand industry trends and best practices through the Coding Bundle. Develop practical skills applicable to real-world situations. Enhance personal and professional growth with the Coding Bundle. Build a strong knowledge base in your chosen course via the Coding Bundle. Benefit from the flexibility and convenience of online learning. With the Coding package, validate your learning with a CPD certificate. Each course in the Coding (C++, Python, JavaScript & IT) bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with Coding (C++, Python, JavaScript & IT), a rich anthology of 15 diverse courses. Each course in the Coding bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisCoding (C++, Python, JavaScript & IT) bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Coding (C++, Python, JavaScript & IT) bundle offers you the flexibility and convenience to learn at your own pace. Make the Coding package your trusted companion in your lifelong learning journey. CPD 215 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Coding (C++, Python, JavaScript & IT) bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Requirements Without any formal requirements, you can delightfully enrol this Coding (C++, Python, JavaScript & IT) course. Career path Our Coding (C++, Python, JavaScript & IT) bundle will prepare you for a range of careers, including: Software Developer Full-Stack Web Developer IT Solutions Architect Data Analyst Systems Programmer Application Developer Software Engineer Game Developer Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Overview This comprehensive course on Complete Web Application Penetration Testing & Security will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Complete Web Application Penetration Testing & Security comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Complete Web Application Penetration Testing & Security. It is available to all students, of all academic backgrounds. Requirements Our Complete Web Application Penetration Testing & Security is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 12 sections • 60 lectures • 14:18:00 total length •About The Course: 00:03:00 •Web Attack Simulation Lab: 00:12:00 •Web application technologies 101 - PDF: 00:47:00 •HTTP Protocol Basics: 00:11:00 •Encoding Schemes: 00:13:00 •Same Origin Policy - SOP: 00:06:00 •HTTP Cookies: 00:11:00 •Cross-origin resource sharing: 00:05:00 •Web application proxy - Burp suite: 00:09:00 •Fingerprinting web server: 00:05:00 •DNS Analysis - Enumerating subdomains: 00:04:00 •Metasploit for web application attacks: 00:12:00 •Web technologies analysis in real time: 00:03:00 •Outdated web application to server takeover: 00:08:00 •BruteForcing Web applications: 00:06:00 •Shodan HQ: 00:07:00 •Harvesting the data: 00:05:00 •Finding link of target with Maltego CE: 00:09:00 •Cross Site Scripting- XSS - PDF: 00:34:00 •Cross site scripting: 00:07:00 •Reflected XSS: 00:14:00 •Persistent XSS: 00:11:00 •DOM-based XSS: 00:10:00 •Website defacement through XSS: 00:09:00 •XML Documents & database: 00:14:00 •Generating XSS attack payloads: 00:13:00 •XSS in PHP, ASP & JS Code review: 00:13:00 •Cookie stealing through XSS: 00:12:00 •Advanced XSS phishing attacks: 00:08:00 •Advanced XSS with BeEF attacks: 00:10:00 •Advanced XSS attacks with Burp suite: 00:08:00 •Code Review Guide: 03:11:00 •SQL Injection attacks - PDF: 00:45:00 •Introduction to SQL Injection: 00:16:00 •Dangers of SQL Injection: 00:05:00 •Hunting for SQL Injection vulnerabilities: 00:20:00 •In-band SQL Injection attacks: 00:27:00 •Blind SQL Injection attack in-action: 00:10:00 •Exploiting SQL injection - SQLMap: 00:09:00 •Fuzzing for SQL Injection - Burp Intruder: 00:14:00 •CSRF or XSRF attack methods: 00:12:00 •Anti-CSRF Token methods: 00:15:00 •Anti-CSRF token stealing-NOT easy: 00:11:00 •Authentication bypass-hydra: 00:11:00 •HTTP Verb Tampering: 00:09:00 •HTTP parameter pollution - HPP: 00:06:00 •Authentication: 00:10:00 •Client side control bypass: 00:10:00 •LFI & RFI attacks: 00:13:00 •Unrestricted file upload - content type: 00:06:00 •Unrestricted File Upload - Extension Type: 00:06:00 •Remote code execution using Shell Uploads: 00:09:00 •XXE attacks in action: 00:14:00 •Advanced Intruder attack types: 00:23:00 •Cross window messaging: 00:02:00 •Defense in depth applied to web app: 00:02:00 •Drupagedden: 00:02:00 •Finding details with open source: 00:17:00 •Out of band XXE: 00:02:00 •Website auditing: 00:02:00

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

This course teaches you to prepare for AZ-104 Certification. The course gives you the knowledge to make you Azure ready and become a better Azure administrator. All the changes that were made to AZ-103 by Microsoft to make it AZ-104 are incorporated in this course.