199 Courses in Glasgow delivered Live Online

Duration 1 Days 6 CPD hours This course is intended for Individuals responsible for articulating the technical benefits of AWS services Individuals interested in learning how to get started with using AWS SysOps Administrators, Solution Architects and Developers interested in using AWS services Overview Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console. Understand the foundational services, including Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS). Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM). Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS). Understand AWS management tools, including Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor. AWS Technical Essentials introduces you to AWS services, and common solutions. It provides you with fundamental knowledge to become more proficient in identifying AWS services. It helps you make informed decisions about IT solutions based on your business requirements and get started working on AWS. Prerequisites Working knowledge of distributed systems Familiarity with general networking concepts Working knowledge of multi-tier architectures Familiarity with cloud computing concepts 1 - AWS introduction and history AWS Global Infrastructure Demonstration: AWS Management Console 2 - AWS Storage Identify key AWS storage options Describe Amazon EBS Create an Amazon S3 bucket and manage associated objects 3 - Compute, network and storage services Amazon Elastic Compute Cloud (EC2) Amazon Virtual Private Cloud (VPC) Amazon Simple Storage Service (S3) Amazon Elastic Block Store (EBS) Demonstration: Amazon Simple Storage Service (S3) Hands-on lab: Build your VPC and launch a web server 4 - AWS Security, AWS Identity and Access Management (IAM) AWS Identity and Access Management (IAM) Demonstration: AWS Identity and Access Management (IAM) 5 - Compute Services & Networking Identify the different AWS compute and networking options Describe an Amazon Virtual Private Cloud (VPC) Create an Amazon EC2 instance Use Amazon EBS with Amazon EC2 6 - Managed Services & Database Describe Amazon DynamoDB Understand key aspects of Amazon RDS Launch an Amazon RDS instance 7 - Databases (RDS, DynamoDB) SQL and NoSQL databases Data storage considerations Hands-on lab: Build your database server and connect to it 8 - AWS elasticity and management tools Auto scaling Load balancing Cloud Watch Trusted Advisor Hands-on lab: Scale and load balance your architecture 9 - Deployment and Management Identify what is CloudFormation Describe Amazon CloudWatch metrics and alarms Describe Amazon Identity and Access Management (IAM)

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Data Consultants/Managers, Developers, Program/Project Managers, and System Administrators. Overview This course is designed to give you the comprehensive skills needed to work with the Information Design Tool. The Information Design Tool enables designers to extract, define, and manipulate metadata from relational and OLAP sources to create and deploy SAP BusinessObjects universes.In this course you learn how to use data from different source systems (SAP and non-SAP) with the SAP BusinessObjects BI client tools. This five-day course is designed to give you the comprehensive skills and in-depth knowledge needed to create SAP BusinessObjects universes using the SAP BusinessObjects Information Design Tool. Basic SAP BusinessObjects Universe Design Describing Universes Defining the Components of a Universe Data Connections Defining connections Data Foundations Creating Data Foundations Using Joins Business Layers Accessing Data through the Business Layer Integrating the Business Layer Components Validating Objects Creating Measure Objects Creating Shortcut Joins Loops in a Data Foundation Resolving Loops with Joined Tables Resolving Loops Using Aliases Resolving Loops Using Contexts Detecting Contexts Editing Contexts Testing Contexts Resolving Recursive Loops Data Restrictions Defining Data Restrictions Applying Mandatory Data Restrictions Applying Optional Data Restrictions Lists of Values (LOV) Providing a List of Values Parameters Illustrating Runtime Parameters Object @functions Using Object @functions in Queries Applying the Aggregate Awareness Optimization Method Using Other @ Functions Navigation Paths Defining Drill Down Navigation Paths Derived Tables Creating Derived Tables Key Awareness Defining Numeric Keys Universe Management with Data Foundation and Business Layer Views Managing a Universe using the Data Foundation View Managing a Universe using the Business Layer View Universe Optimization Optimizing Universes Using Parameters Universe Deployment and Security Deploying a Universe Securing a Published Universe Creating Data Security Profiles Creating Business Security Profiles Assigning Security Profiles to Users Identifying the Priority of Security Settings Updating a Published Universe SQL Clause Processing Problems Determining How the Order of SQL Clauses Affects Data Returned Detecting Ambiguity Caused by SQL Requests Run Against Joined Tables Resolving Ambiguity Caused by SQL Requests Run Against Joined Tables Identifying Fan Traps Resolving Ambiguity Caused by SQL Requests Run Against Joined Tables Outer Join Problem Resolution Resolving an Ambiguous Outer Join Using @AggregateAware Universe Creation from Different Data Sources Identifying the Different Data Sources Creating an OLAP Universe Creating a Multi-source Universe Shared Projects Using Shared Projects Manipulating Other Designers' Resources Universe Conversion Converting Existing .unv Universes Translation Deploying Universes in Different Languages

Duration 5 Days 30 CPD hours This course is intended for This hands-on course is geared for experienced DBAs with basic Oracle 19c skills. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs andexercises. Working in a hands-on learning environment led by our expert facilitator, students will explore: Creating CDBs and Regular PDBs Managing CDBs and PDBs Backup and Duplicate Upgrading and Transporting CDBs and Regular PDBs Backup Strategies and Terminology Restore and Recovery Concepts Using Flashback Technologies Duplicating a Database Installing Grid Infrastructure and Oracle Database Patching Grid Infrastructure and Oracle Database Upgrading to Oracle Grid Infrastructure Using General Overall Database Enhancements Monitoring and Tuning Database Performance Managing Application PDBs Managing Security in Multitenant databases Recovery and Flashback Configuring and Using RMAN Diagnosing Failures Performing Recovery Transporting Data RMAN Troubleshooting and Tuning Creating an Oracle Database by using DBCA Oracle Restart Upgrading the Oracle Database Installing Grid Infrastructure for a Standalone server Using Availability Enhancements Tuning SQL Statements Geared for participants experienced with Oracle 19c DBA essentials Oracle 19c Database Administration II (Oracle DBA II) expands their understanding of Oracle database administration. Throughout the course students will explore coverage of Multitenant (CDB/PDB), database tuning, SQL tuning, and backup and recovery: the skills needed to keep a database running reliably and efficiently. The current release of the database is used for exercises and demonstrations, and the content back-ported as necessary for previous releases. Creating CDBs and Regular PDBs Configure and create a CDB Create a new PDB from the CDB seed Explore the structure of PDBs Manage CDBs and PDBs Manage PDB service names and connections Manage startup, shutdown and availability of CDBs and PDBs Change the different modes and settings of PDBs Evaluate the impact of parameter value changes Performance management in CDBs and PDBs Control CDB and PDB resource usage with the Oracle Resource Manager Backup and Duplicate Perform Backup and Recover CDBs and PDBs Duplicate an active PDB Duplicate a Database Upgrading and Transporting CDBs and Regular PDBs Upgrade an Oracle Database Transport Data Backup Strategies and Terminology Perform Full and Incremental Backups and Recoveries Compress and Encrypt RMAN Backups Use a media manager Create multi-section backups of exceptionally large files Create duplexed backup sets Create archival backups Backup of recovery files Backup non database files Back up ASM meta data Restore and Recovery Concepts Employ the best Oracle Database recovery technology for your failure situation Describe and use Recovery technology for Crash, Complete, and Point-in-time recovery Using Flashback Technologies Configure your Database to support Flashback Perform flashback operations Duplicating a Database Duplicate Databases Install Grid Infrastructure and Oracle Database Install Grid Infrastructure for a Standalone server Install Oracle Database software Patching Grid Infrastructure and Oracle Database Patch Grid Infrastructure and Oracle Database Upgrading to Oracle Grid Infrastructure Upgrade Oracle Grid Infrastructure Using General Overall Database Enhancements Install Oracle Database software Create, Delete and Configure Databases using DBCA Creating CDBs and Regular PDBs Use Miscellaneous 19c New Features Monitoring and Tuning Database Performance Managing Memory Components Understanding the Automatic Workload Repository (AWR) Understanding the Advisory Framework Monitoring Wait Events, Sessions, and Services Managing Metric Thresholds and Alerts Understanding and Using the Performance Tuning Methodology Performing Performance Planning Understanding the Automatic Database Diagnostic Monitor (ADDM) Manage Application PDBs Explain the purpose of application root and application seed Define and create application PDBs Install, upgrade and Patch applications Create and administer Application PDBS Clone PDBs and Application containers Plug and unplug operations with PDBs and application containers Comparing Local Undo Mode and Shared Undo Mode Manage Security in Multitenant databases Manage Security in Multitenant databases Manage PDB lockdown profiles Audit Users in CDBs and PDBs Manage other types of policies in application containers Recovery and Flashback Restore and Recovering Databases with RMAN Perform CDB and PDB flashback Configuring and Using RMAN Configure RMAN and the Database for Recoverability Configure and Using an RMAN recovery catalog Diagnosing Failures Detect and repair database and database block corruption Diagnosing Database Issues Performing Recovery Restore and Recovering Databases with RMAN Perform Non RMAN database recovery Transporting Data Transport Data RMAN Troubleshooting and Tuning Interpret the RMAN message output Diagnose RMAN performance issues Creating an Oracle Database by using DBCA Create, Delete and Configure Databases using DBCA Oracle Restart Configure and use Oracle Restart to manage components Upgrade the Oracle Database Plan for Upgrading an Oracle Database Upgrade an Oracle Database Perform Post-Upgrade tasks Install Grid Infrastructure for a Standalone server Rapid Home Provisioning Using Availability Enhancements Use an RMAN recovery catalog Use Flashback Database Tuning SQL Statements Understanding the Oracle Optimizer Using the SQL Tuning Advisor Managing Optimizer Statistics Using the SQL Access Advisor Understanding the SQL Tuning Process Additional course details: Nexus Humans Oracle 19c Database Administration II (DBA II) (TTOR20619) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Oracle 19c Database Administration II (DBA II) (TTOR20619) 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.

Python Data Analytics with Python using Numpy, Pandas, Dataframes. Most attendees are in-work Data Professional. Private individuals are very welcome. Our Style: Hands-on, Practical Location: Online, Instructor-led

Duration 5 Days 30 CPD hours This course is intended for This beginning DB2 basic course is for z/OS database administrators who need to acquire the basic skills required to administer a DB2 database in a z/OS environment. Overview Describe several services provided in a z/OS environmentExplain workloads in the batch environmentExplain workloads in the online environmentDescribe job roles in a z/OS environmentLog On to TSO/ENavigate TSO/E and ISPFUse TSO commandsSetup and utilize JCL (Job Control Language)Utilize SDSFDescribe the different types of data sets in a z/OS environmentAllocate data sets and list data set information and contentCreate and modify data set contentGive an overview of the DB2 9 environmentDescribe and utilize DB2 ObjectsDescribe and utilize several DB2 UtilitiesDescribe the DB2I (DB2 Interactive Facility) environmentUse SPUFI (SQL Processing Using File Input) to compose and execute SQLSetup and execute DB2 CommandsUnderstand DB2 LoggingDescribe DB2 program preparation processUnderstand DB2 startup and shutdownUnderstand and utilize DB2 recovery strategies This course is intended for students looking to develop fundamental skills or recognition through lectures and hands-on exercises of TSO/E and ISPF, data sets, DB2 objects, Structured Query Language, DB2 commands, JCL and SDSF. Day 1 Welcome Unit 1: Introduction Unit 2: TSO/E and ISPF Exercise 1: TSO and ISPF Exercise 1 Review Unit 3: Data Sets (Data Sets and Sequential Data Sets) Exercise 2: Sequential Data Sets Exercise 2 Review Day 2 Unit 3: Data Sets (Partitioned Data Sets) Exercise 3: Partitioned Data Sets Exercise 3 Review Unit 3: Data Sets (VSAM Data Sets) Exercise 4: VSAM Data Sets Exercise 4 Review Unit 4: JCL and SDSF Exercise 5: JCL and SDSF Exercise 5 Review Day 3 Unit 5: DB2 Relational Database Concepts Unit 6: Structured Query Language (SQL) and SPUFI Exercise 6: SQL and SPUFI Exercise 6 Review Unit 7: DB2 Objects (Databases and Table Spaces) Exercise 7: Databases and Table Spaces Exercise 7 Review Unit 7: DB2 Objects (Tables, Indexes, and Views) Exercise 8: Tables, Indexes, and Views Exercise 8 Review Day 4 Unit 7: DB2 Objects (Qualified Names, Implicit Object Creation, and SQL Statements) Exercise 9: Qualified Names, Implicit Object Creation, and SQL Statements Exercise 9 Review Unit 8: The DB2 System Exercise 10: The DB2 System Exercise 10 Review Unit 9: DB2 Commands and Program Preparation Exercise 11: DB2 Commands Exercise 11 Review Day 5 Unit 10: DB2 Utilities Exercise 12: DB2 Utilities Exercise 12 Review Unit 11: DB2 Shutdown, Startup, and Recovery Exercise 13: DB2 Recovery Exercise 13 Review Unit 12: Course Summary Additional course details: Nexus Humans CV041 IBM z/OS and DB2 Basics for DB2 for z/OS DBA Beginners 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 CV041 IBM z/OS and DB2 Basics for DB2 for z/OS DBA Beginners 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 2 Days 12 CPD hours This course is intended for This class has something for everything, from beginners who wish to customise their data entry forms in SharePoint right up to advanced users who need to use advanced formulas to deliver more bespoke actions to their apps. Overview After taking this course, students will be able to: - Understand when to use PowerApp. - Describe the components of PowerApps and their correct use. - Create PowerApps from existing data sources. - Brand PowerApps. - Customize PowerApps beyond just using the automated wizards. - Connect to a range of data sources from Excel to Azure SQL. - Understand the difference between canvas apps and model-driven apps. - Integrate PowerApps with other Office 365 systems ? including Teams and SharePoint Online. - Administer and Maintain PowerApps Students will be taught how to design, test and publish new apps that work with a variety of data sources. We will take users through a selection of well-crafted lessons to help them build new applications for their business. 1 - AN INTRODUCTION TO POWERAPPS What is PowerApps? The benefits of apps How to get PowerApps Canvas Apps and Model-Driven Apps License Options and Costs Discover PowerApps with Templates Lab 1: Introduction to PowerApps 2 - GETTING STARTED WITH POWERAPPS Building a new app from a data source Add, edit and remove controls Intro to Formulas Testing an app App Settings Publish and Share Apps Version History and Restore PowerApps Mobile App Lab 1: Getting Started 3 - BRANDING AND MEDIA Less is more Duplicate Screens Fonts Screen Colours and Matching Colours Screen Backgrounds Buttons and Icons Hide on Timer Size and Alignment by reference Show and Hide on Timer Lab 1: Branding and Media 4 - POWERAPPS CONTROLS Text Controls for Data Entry and Display Controls ? Drop downs, combo box, date picker, radio button and more Forms ? Add and edit data in underlying data sources quickly Charts ? present information in pie, line and bar charts Lab 1: Build Apps from Blank 5 - DATA SOURCES AND LOGIC Data Storage and Services How do I decide which database to use? Connect to on-premises data - Gateway What is Delegation? Specific Data Examples Displaying Data Lab 1: Data Source and Logic 6 - MODEL-DRIVEN APPS What is a model-driven app? Where will my data be stored? How do create a model-driven app Canvas vs model-driven summary Lab 1: Model-Driven App 7 - POWERAPP INTEGRATION Embed PowerApps in Teams Embed PowerApps in SharePoint Online Start a Flow from a PowerApp Lab 1: PowerApp Integration 8 - ADMINISTRATION AND MAINTENANCE OF POWERAPPS Identify which users have been using PowerApps Reuse an app in another location (move from testing or development to production) Review app usage Prevent a user from using PowerApps Manage environments Lab 1: Administration and Maintenance Additional course details: Nexus Humans 55265 Microsoft PowerApps 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 55265 Microsoft PowerApps 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 Software developers, system administrators, and IT professionals who are focused on Microsoft Windows Overview Configuring Microsoft Windows and Microsoft SQL Server in Google Compute Engine. Deploying ASP.NET MVC applications to Google Compute Engine. Deploying .NET Core applications to Google Compute Engine, Google Compute Engine, and Google Container Engine Learn how to create Windows virtual machines on Google Cloud so that you can deploy and run Microsoft Windows applications. In this course, you'll learn how to run SQL Server in Compute Engine, how to deploy instances across Google Cloud zones, and how to get more out of ASP.NET on Compute Engine, Google Container Engine, and App Engine. Introduction to Google Cloud Platform Scope and structure of GCP. Options for Windows deployment on GCP. GCP interfaces. Windows Workloads on Google Compute Engine Google Compute Engine virtual machine options. Integrating Active Directory with Google Compute Engine virtual machines. Options for running SQL Server in Google Compute Engine. Configuring SQL Server for high availability. Developing ASP.NET MVC applications Model-view-controller structure. Using Microsoft Visual Studio?s Web Project template to develop in ASP.NET. Deploying applications to Microsoft Internet Information Server (IIS) in GCE. Configuring Resilient Workloads Deploying instances across GCP zones. Using instance groups to create pools of virtual machines. Load balancing Windows applications. Delivering Next-Generation ASP.NET Core on GCP Understanding .NET Core and EF Core. Options for deploying ASP.NET Core applications on Google Cloud Platform. Deploying ASP.NET Core applications on Google Compute Engine. Deploying ASP.NET Core applications on Google Container Engine. Deploying ASP.NET Core applications on Google App Engine. Additional course details: Nexus Humans Develop and Deploy Windows Applications on Google Cloud Platform 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 Develop and Deploy Windows Applications on Google Cloud Platform 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.

Practical MySQL Course Intermediate, to leave you fully conversant with queries, DML and DDL statements. Hands-on, Practical MySQL Course Intermediate. PCWorkshops MySQL Course Intermediate Certificate. Max 4 people per course, we keep it personalised.

Duration 4 Days 24 CPD hours This course is intended for The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Sentinel, Microsoft Defender for Cloud, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies. Learn how to investigate, respond to, and hunt for threats using Microsoft Sentinel, Microsoft Defender for Cloud, and Microsoft 365 Defender. In this course you will learn how to mitigate cyberthreats using these technologies. Specifically, you will configure and use Microsoft Sentinel as well as utilize Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course was designed for people who work in a Security Operations job role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst. Prerequisites Basic understanding of Microsoft 365 Fundamental understanding of Microsoft security, compliance, and identity products Intermediate understanding of Windows 10 Familiarity with Azure services, specifically Azure SQL Database and Azure Storage Familiarity with Azure virtual machines and virtual networking Basic understanding of scripting concepts. 1 - Introduction to Microsoft 365 threat protection Explore Extended Detection & Response (XDR) response use cases Understand Microsoft Defender XDR in a Security Operations Center (SOC) Explore Microsoft Security Graph Investigate security incidents in Microsoft Defender XDR 2 - Mitigate incidents using Microsoft 365 Defender Use the Microsoft Defender portal Manage incidents Investigate incidents Manage and investigate alerts Manage automated investigations Use the action center Explore advanced hunting Investigate Microsoft Entra sign-in logs Understand Microsoft Secure Score Analyze threat analytics Analyze reports Configure the Microsoft Defender portal 3 - Protect your identities with Microsoft Entra ID Protection Microsoft Entra ID Protection overview Detect risks with Microsoft Entra ID Protection policies Investigate and remediate risks detected by Microsoft Entra ID Protection 4 - Remediate risks with Microsoft Defender for Office 365 Automate, investigate, and remediate Configure, protect, and detect Simulate attacks 5 - Safeguard your environment with Microsoft Defender for Identity Configure Microsoft Defender for Identity sensors Review compromised accounts or data Integrate with other Microsoft tools 6 - Secure your cloud apps and services with Microsoft Defender for Cloud Apps Understand the Defender for Cloud Apps Framework Explore your cloud apps with Cloud Discovery Protect your data and apps with Conditional Access App Control Walk through discovery and access control with Microsoft Defender for Cloud Apps Classify and protect sensitive information Detect Threats 7 - Respond to data loss prevention alerts using Microsoft 365 Describe data loss prevention alerts Investigate data loss prevention alerts in Microsoft Purview Investigate data loss prevention alerts in Microsoft Defender for Cloud Apps 8 - Manage insider risk in Microsoft Purview Insider risk management overview Create and manage insider risk policies Investigate insider risk alerts Take action on insider risk alerts through cases Manage insider risk management forensic evidence Create insider risk management notice templates 9 - Investigate threats by using audit features in Microsoft Defender XDR and Microsoft Purview Standard Explore Microsoft Purview Audit solutions Implement Microsoft Purview Audit (Standard) Start recording activity in the Unified Audit Log Search the Unified Audit Log (UAL) Export, configure, and view audit log records Use audit log searching to investigate common support issues 10 - Investigate threats using audit in Microsoft Defender XDR and Microsoft Purview (Premium) Explore Microsoft Purview Audit (Premium) Implement Microsoft Purview Audit (Premium) Manage audit log retention policies Investigate compromised email accounts using Purview Audit (Premium) 11 - Investigate threats with Content search in Microsoft Purview Explore Microsoft Purview eDiscovery solutions Create a content search View the search results and statistics Export the search results and search report Configure search permissions filtering Search for and delete email messages 12 - Protect against threats with Microsoft Defender for Endpoint Practice security administration Hunt threats within your network 13 - Deploy the Microsoft Defender for Endpoint environment Create your environment Understand operating systems compatibility and features Onboard devices Manage access Create and manage roles for role-based access control Configure device groups Configure environment advanced features 14 - Implement Windows security enhancements with Microsoft Defender for Endpoint Understand attack surface reduction Enable attack surface reduction rules 15 - Perform device investigations in Microsoft Defender for Endpoint Use the device inventory list Investigate the device Use behavioral blocking Detect devices with device discovery 16 - Perform actions on a device using Microsoft Defender for Endpoint Explain device actions Run Microsoft Defender antivirus scan on devices Collect investigation package from devices Initiate live response session 17 - Perform evidence and entities investigations using Microsoft Defender for Endpoint Investigate a file Investigate a user account Investigate an IP address Investigate a domain 18 - Configure and manage automation using Microsoft Defender for Endpoint Configure advanced features Manage automation upload and folder settings Configure automated investigation and remediation capabilities Block at risk devices 19 - Configure for alerts and detections in Microsoft Defender for Endpoint Configure advanced features Configure alert notifications Manage alert suppression Manage indicators 20 - Utilize Vulnerability Management in Microsoft Defender for Endpoint Understand vulnerability management Explore vulnerabilities on your devices Manage remediation 21 - Plan for cloud workload protections using Microsoft Defender for Cloud Explain Microsoft Defender for Cloud Describe Microsoft Defender for Cloud workload protections Enable Microsoft Defender for Cloud 22 - Connect Azure assets to Microsoft Defender for Cloud Explore and manage your resources with asset inventory Configure auto provisioning Manual log analytics agent provisioning 23 - Connect non-Azure resources to Microsoft Defender for Cloud Protect non-Azure resources Connect non-Azure machines Connect your AWS accounts Connect your GCP accounts 24 - Manage your cloud security posture management? Explore Secure Score Explore Recommendations Measure and enforce regulatory compliance Understand Workbooks 25 - Explain cloud workload protections in Microsoft Defender for Cloud Understand Microsoft Defender for servers Understand Microsoft Defender for App Service Understand Microsoft Defender for Storage Understand Microsoft Defender for SQL Understand Microsoft Defender for open-source databases Understand Microsoft Defender for Key Vault Understand Microsoft Defender for Resource Manager Understand Microsoft Defender for DNS Understand Microsoft Defender for Containers Understand Microsoft Defender additional protections 26 - Remediate security alerts using Microsoft Defender for Cloud Understand security alerts Remediate alerts and automate responses Suppress alerts from Defender for Cloud Generate threat intelligence reports Respond to alerts from Azure resources 27 - Construct KQL statements for Microsoft Sentinel Understand the Kusto Query Language statement structure Use the search operator Use the where operator Use the let statement Use the extend operator Use the order by operator Use the project operators 28 - Analyze query results using KQL Use the summarize operator Use the summarize operator to filter results Use the summarize operator to prepare data Use the render operator to create visualizations 29 - Build multi-table statements using KQL Use the union operator Use the join operator 30 - Work with data in Microsoft Sentinel using Kusto Query Language Extract data from unstructured string fields Extract data from structured string data Integrate external data Create parsers with functions 31 - Introduction to Microsoft Sentinel What is Microsoft Sentinel? How Microsoft Sentinel works When to use Microsoft Sentinel 32 - Create and manage Microsoft Sentinel workspaces Plan for the Microsoft Sentinel workspace Create a Microsoft Sentinel workspace Manage workspaces across tenants using Azure Lighthouse Understand Microsoft Sentinel permissions and roles Manage Microsoft Sentinel settings Configure logs 33 - Query logs in Microsoft Sentinel Query logs in the logs page Understand Microsoft Sentinel tables Understand common tables Understand Microsoft Defender XDR tables 34 - Use watchlists in Microsoft Sentinel Plan for watchlists Create a watchlist Manage watchlists 35 - Utilize threat intelligence in Microsoft Sentinel Define threat intelligence Manage your threat indicators View your threat indicators with KQL 36 - Connect data to Microsoft Sentinel using data connectors Ingest log data with data connectors Understand data connector providers View connected hosts 37 - Connect Microsoft services to Microsoft Sentinel Plan for Microsoft services connectors Connect the Microsoft Office 365 connector Connect the Microsoft Entra connector Connect the Microsoft Entra ID Protection connector Connect the Azure Activity connector 38 - Connect Microsoft Defender XDR to Microsoft Sentinel Plan for Microsoft Defender XDR connectors Connect the Microsoft Defender XDR connector Connect Microsoft Defender for Cloud connector Connect Microsoft Defender for IoT Connect Microsoft Defender legacy connectors 39 - Connect Windows hosts to Microsoft Sentinel Plan for Windows hosts security events connector Connect using the Windows Security Events via AMA Connector Connect using the Security Events via Legacy Agent Connector Collect Sysmon event logs 40 - Connect Common Event Format logs to Microsoft Sentinel Plan for Common Event Format connector Connect your external solution using the Common Event Format connector 41 - Connect syslog data sources to Microsoft Sentinel Plan for syslog data collection Collect data from Linux-based sources using syslog Configure the Data Collection Rule for Syslog Data Sources Parse syslog data with KQL 42 - Connect threat indicators to Microsoft Sentinel Plan for threat intelligence connectors Connect the threat intelligence TAXII connector Connect the threat intelligence platforms connector View your threat indicators with KQL 43 - Threat detection with Microsoft Sentinel analytics What is Microsoft Sentinel Analytics? Types of analytics rules Create an analytics rule from templates Create an analytics rule from wizard Manage analytics rules 44 - Automation in Microsoft Sentinel Understand automation options Create automation rules 45 - Threat response with Microsoft Sentinel playbooks What are Microsoft Sentinel playbooks? Trigger a playbook in real-time Run playbooks on demand 46 - Security incident management in Microsoft Sentinel Understand incidents Incident evidence and entities Incident management 47 - Identify threats with Behavioral Analytics Understand behavioral analytics Explore entities Display entity behavior information Use Anomaly detection analytical rule templates 48 - Data normalization in Microsoft Sentinel Understand data normalization Use ASIM Parsers Understand parameterized KQL functions Create an ASIM Parser Configure Azure Monitor Data Collection Rules 49 - Query, visualize, and monitor data in Microsoft Sentinel Monitor and visualize data Query data using Kusto Query Language Use default Microsoft Sentinel Workbooks Create a new Microsoft Sentinel Workbook 50 - Manage content in Microsoft Sentinel Use solutions from the content hub Use repositories for deployment 51 - Explain threat hunting concepts in Microsoft Sentinel Understand cybersecurity threat hunts Develop a hypothesis Explore MITRE ATT&CK 52 - Threat hunting with Microsoft Sentinel Explore creation and management of threat-hunting queries Save key findings with bookmarks Observe threats over time with livestream 53 - Use Search jobs in Microsoft Sentinel Hunt with a Search Job Restore historical data 54 - Hunt for threats using notebooks in Microsoft Sentinel Access Azure Sentinel data with external tools Hunt with notebooks Create a notebook Explore notebook code

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.