Kurs i programvare og applikasjoner

PowerPoint 2010 er et presentasjonsprogram som brukes når vi skal vise fram data – enten det er tekst, bilder, tall eller tegninger. Programmet kan brukes til å lage lysark som skrives ut, eller vi kan vise presentasjonen ved hjelp av PC + videokanon. På kurset vil grunnleggende funksjoner vektlegges, men vi vil og se på hvordan en bygger opp og setter sammen en presentasjon. Forkunnskaper: Du må ha kunnskaper tilsvarende PC-begynnerkurs. Brukere av Powerpoint 2007 kan og følge dette kurset. [-]

AZ-1008: Administer Active Directory Domain Services [-]

Architecting on AWS [-]

AZ-900: Microsoft Azure Fundamentals [-]

COURSE OVERVIEW The Implementing and Configuring Cisco Identity Services Engine course shows you how to deploy and use Cisco Identity Services Engine (ISE) v2.4, an identity and access control policy platform that simplifies the delivery of consistent, highly secure access control across wired, wireless and VPN connections. This hands-on course provides you with the knowledge and skills required to implement and use Cisco ISE, including policy enforcement, profiling services, web authentication and guest access services, BYOD, endpoint compliance services, and TACACS+ device administration. Through expert instruction and hands-on practice, you will learn how to use Cisco ISE to gain visibility into what is happening in your network, streamline security policy management and contribute to operational efficiency.   Delegates will be expected to work in groups and share lab equipment, If you are attending virtually you may also be required to work in virtual breakout rooms. Extended hours may also be required to cover all of the content included in this class.   TARGET AUDIENCE Individuals involved in the deployment and maintenance of the Cisco ISE platform. COURSE OBJECTIVES After completing this course you should be able to: Describe Cisco ISE deployments, including core deployment components and how they interact to create a cohesive security architecture. Describe the advantages of such a deployment and how each Cisco ISE capability contributes to these advantages. Describe concepts and configure components related to 802.1X and MAC Authentication Bypass (MAB) authentication, identity management, and certificate services. Describe how Cisco ISE policy sets are used to implement authentication and authorization, and how to leverage this capability to meet the needs of your organization. Describe third-party network access devices (NADs), Cisco TrustSec®, and Easy Connect. Describe and configure web authentication, processes, operation, and guest services, including guest access components and various guest access scenarios. Describe and configure Cisco ISE profiling services, and understand how to monitor these services to enhance your situational awareness about network-connected endpoints. Describe best practices for deploying this profiler service in your specific environment. Describe BYOD challenges, solutions, processes, and portals. Configure a BYOD solution, and describe the relationship between BYOD processes and their related configuration components. Describe and configure various certificates related to a BYOD solution. Describe the value of the My Devices portal and how to configure this portal. Describe endpoint compliance, compliance components, posture agents, posture deployment and licensing, and the posture service in Cisco ISE. Describe and configure TACACS+ device administration using Cisco ISE, including command sets, profiles, and policy sets. Understand the role of TACACS+ within the authentication, authentication, and accounting (AAA) framework and the differences between the RADIUS and TACACS+ protocols. Migrate TACACS+ functionality from Cisco Secure Access Control System (ACS) to Cisco ISE, using a migration tool. COURSE CONTENT Introducing Cisco ISE Architecture and Deployment Using Cisco ISE as a Network Access Policy Engine Cisco ISE Use Cases Describing Cisco ISE Fucntions Cisco ISE Deployment Models Context Visibility Cisco ISE Policy Enforcement Using 802.1X for Wired and Wireless Access Using MAC Authentication Bypass for Wired and Wireless Access Introducing Identity Management Configuring Certificate Services Introducing Cisco ISE Policy Implementing Third-Party Network Access Device Support Introducing Cisco TrustSec TrustSec Configuration Easy Connect Web Authentication and Guest Services Introducing Web Access with Cisco ISE Introducing Guest Access Components Configuring Guest Access Services Configure Sponsor and Guest Portals Cisco ISE Profiler Introducing Cisco ISE Profiler Profiling Deployment and Best Practices Cisco ISE BYOD Introducing the Cisco ISE BYOD Process Describing BYOD Flow Configuring the My Devices Portal Configuring Certificates in BYOD Scenarios Cisco ISE Endpoint Compliance Services Introducing Endpoint Compliance Services Configuring Client Posture Services and Provisioning Working with Network Access Devices Cisco ISE TACACS+ Device Administration Configure TACACS+ Device Administration Guidelines and Best Practices Migrating from Cisco ACS to Cisco ISE Labs Lab 1: Access the SISE Lab and Install ISE 2.4 Lab 2 : Configure Initial Cisco ISE Setup, Gui Familiarization and System Certificate Usage  Lab 3: Integrate Cisco ISE with Active Directory Lab 4: Configure Cisco ISE Policy Lab 5: Configure Access Policy for Easy Connect Lab 6: Configure Guest Access Lab 7: Configure Guest Access Operations Lab 8: Create Guest Reports Lab 9: Configure Profiling Lab 10: Customize the Cisco ISE Profiling Configuration Lab 11: Create Cisco ISE Profiling Reports Lab 12: Configure BYOD Lab 13: Blacklisting a Device Lab 14: Configure Cisco ISE Compliance Services Lab 15: Configure Client Provisioning Lab 16: Configure Posture Policies Lab 17: Test and Monitor Compliance Based Access Lab 18: Test Compliance Policy Lab 19: Configure Cisco ISE for Basic Device Administration Lab 20: Configure TACACS+ Command Authorization   [-]

Excelkurs Basis - elæringskurs [-]

COURSE OVERVIEW  Through a combination of lecture and hands-on labs, you will learn how to install, operate, configure, and verify a basic IPv4 and IPv6 network. The course covers configuring network components such as switches, routers, and Wireless LAN Controllers; managing network devices; and identifying basic security threats. Network programmability, automation, and software-defined networking are also covered at a foundational level.   This course helps you prepare to take the 200-301 Cisco Certified Network Associate (CCNA) exam.   Please note that this course is a combination of Instructor-Led and Self-Paced Study - 5 days in the classroom and approx 3 days of self study. The self-study content will be provided as part of the digital courseware that you recieve at the beginning of the course and should be part of your preparation for the exam. Lab access is provided for both the class and the self- study sections, lab access is valid for 60 hours or 90 days whichever is the shorter, so please ensure you exit the lab exercises when not in use. TARGET AUDIENCE Anyone looking to start a career in networking or wishing to achieve the Cisco CCNA Certification. COURSE OBJECTIVES After completing this course you should be able to: Identify the components of a computer network and describe their basic characteristics Understand the model of host-to-host communication Describe the features and functions of the Cisco IOS Software Describe LANs and the role of switches within LANs Describe Ethernet as the network access layer of TCP/IP and describe the operation of switches Install a switch and perform the initial configuration Describe the TCP/IP internet Layer, IPv4, its addressing scheme, and subnetting Describe the TCP/IP Transport layer and Application layer Explore functions of routing Implement basic configuration on a Cisco router Explain host-to-host communications across switches and routers Identify and resolve common switched network issues and common problems associated with IPv4 addressing Describe IPv6 main features, addresses and configure and verify basic IPv6 connectivity Describe the operation, benefits, and limitations of static routing Describe, implement and verify VLANs and trunks Describe the application and configuration of inter-VLAN routing Explain the basics of dynamic routing protocols and describe components and terms of OSPF Explain how STP and RSTP work Configure link aggregation using EtherChannel Describe the purpose of Layer 3 redundancy protocols Describe basic WAN and VPN concepts Describe the operation of ACLs and their applications in the network Configure internet access using DHCP clients and explain and configure NAT on Cisco routers Describe the basic QoS concepts Describe the concepts of wireless networks, which types of wireless networks can be built and how to use WLC Describe network and device architectures and introduce virtualization Introduce the concept of network programmability and SDN and describe the smart network management solutions like Cisco DNA Center, SD-Access and SD-WAN Configure basic IOS system monitoring tools Describe the management of Cisco devices Describe the current security threat landscape Describe threat defense technologies Implement a basic security configuration of the device management plane Implement basic steps to harden network devices COURSE CONTENT Exploring the Functions of Networking Introducing the Host-To-Host Communications Model Operating Cisco IOS Software Introducing LANs Exploring the TCP/IP Link Layer Starting a Switch Introducing the TCP/IP Internet Layer, IPv4 Addressing, and Subnets Explaining the TCP/IP Transport Layer and Application Layer Exploring the Functions of Routing Configuring a Cisco Router Exploring the Packet Delivery Process Troubleshooting a Simple Network Introducing Basic IPv6 Configuring Static Routing Implementing VLANs and Trunks Routing Between VLANs Introducing OSPF Building Redundant Switched Topologies (Self-Study) Improving Redundant Switched Topologies with EtherChannel Exploring Layer 3 Redundancy (Self-Study) Introducing WAN Technologies (Self-Study) Explaining Basics of ACL Enabling Internet Connectivity Introducing QoS (Self-Study) Explaining Wireless Fundamentals (Self-Study) Introducing Architectures and Virtualization (Self-Study) Explaining the Evolution of Intelligent Networks Introducing System Monitoring Managing Cisco Devices Examining the Security Threat Landscape (Self-Study) Implementing Threat Defense Technologies (Self-Study) Securing Administrative Access Implementing Device Hardening Labs: Get Started with Cisco CLI Observe How a Switch Operates Perform Basic Switch Configuration Inspect TCP/IP Applications Configure an Interface on a Cisco Router Configure and Verify Layer 2 Discovery Protocols Configure Default Gateway Explore Packet Forwarding Troubleshoot Switch Media and Port Issues Troubleshoot Port Duplex Issues Configure Basic IPv6 Connectivity Configure and Verify IPv4 Static Routes Configure IPv6 Static Routes Configure VLAN and Trunk Configure a Router on a Stick Configure and Verify Single-Area OSPF Configure and Verify EtherChannel Configure and Verify IPv4 ACLs Configure a Provider-Assigned IPv4 Address Configure Static NAT Configure Dynamic NAT and PAT Log into the WLC Monitor the WLC Configure a Dynamic (VLAN) Interface Configure a DHCP Scope Configure a WLAN Define a RADIUS Server Explore Management Options Explore the Cisco DNA Center Configure and Verify NTP Create the Cisco IOS Image Backup Upgrade Cisco IOS Image Configure WLAN Using WPA2 PSK Using the GUI Secure Console and Remote Access Enable and Limit Remote Access Connectivity Secure Device Administrative Access Configure and Verify Port Security Implement Device Hardening TEST CERTIFICATION Recommended as preparation for the following exams:  200-301 -  Cisco Certified Network Associate Exam (CCNA) [-]

Confluence Essentials (server) [-]

CCNA: Implementing and Administering Cisco Solutions [-]

ArchiMate® 3 Training Course Combined Foundation and Practitioner [-]

Bruker du mye tid i Excel på å få gjort enkle arbeidsoppgaver? Kommer det til stadighet prosent og dato i celler hvor du vil ha vanlige tall? Blir en formel ødelagt når du flytter den? Er det vanskelig å lage det diagrammet du ønsker? Blir ikke utskriftene dine slik du ønsker? Dette er vanlige problemstillinger mange sliter med og som blir borte etter endt kurs! På kun 2 dager vil du mestre de vanligste formler og funksjoner du trenger i din arbeidsdag. Du lærer gode rutiner og hurtigtastene du trenger for å kunne arbeide raskt og effektivt. Du vil kunne bygge alt fra enkle til mer avanserte modeller og vil føle deg trygg på at modellen din virker og gir rett resultat. Du vil også få en rekke tips og triks du kan bruke i din arbeidsdag.  Alt du lærer får du repetert gjennom aktiv oppgaveløsning slik at du husker det du har lært når du kommer tilbake på jobb. Kursdokumentasjon, lunsj og pausemat er selvsagt inkludert!   Kursholderne har mer enn 20 års Excel erfaring som de gjerne deler med deg!   Kurset passer for deg med liten erfaring og som ønsker å lære Excel fra grunnen av. Kurset passer også for deg som er selvlært og som ønsker å jobbe mer effektivt. Meld deg på Excel-kurs allerede i dag og sikre deg plass!   Krav til forkunnskaper Grunnleggende kunnskaper i Windows.   Kursinnhold Redigering Merking Sletting Angre muligheter Flytting og kopiering Innsetting og sletting Formler Bruk av formler Autofyll Cellereferanser Formatering Hva er formatering? Kolonnebredde og radhøyde Tallformatering Skriftformatering Justering av celleinnhold Kantlinjer og fyllfarger Betinget formatering Funksjoner Bruk av funksjoner Summering Minst, størst, antall og gjennomsnitt Hvis-funksjonen Betinget summering Diagram Utforming av diagram Diagramtyper Flere regneark Arbeid med regneark Innsetting og sletting av regneark Flytting og kopiering av regneark Referering til andre regneark Enkle formler på tvers av ark Vindus håndtering Lister og tabeller Sortering Tabeller Filtrering Deling og frysing av vindu   [-]

Her er et utvalg av temaene du vil lære på kurset: Oppsett av nytt sprinklerprosjekt i Revit Prosjektering av sprinkleranlegg Behandling av rørtyper, systemer etc Lage egne produkter for sprinklerhoder og andre produkter Hydrauliske beregninger IFC-eksport Oppsett av tegninger [-]

COURSE OVERVIEW This course does not provide an Azure pass or time in the classroom for students to do any hands-on activities. TARGET AUDIENCE  This course is suitable for program managers and technical sales, with a general IT background. These students want to learn about our offerings, see how components are implemented, and ask questions about products and features. COURSE OBJECTIVES   Discuss the basics of cloud computing and Azure, and how to get started with Azure's subscriptions and accounts. Describe the advantages of using cloud computing services, learning to differentiate between the categories and types of cloud computing, and how to examine the various concepts, resources, and terminology that are necessary to work with Azure architecture. Outline the core services available with Microsoft Azure. Discuss the core solutions that encompass a wide array of tools and services from Microsoft Azure. Describe the general security and network security features, and how you can use the various Azure services to help ensure that your cloud resources are safe, secure, and trusted. Discuss the identity, governance, privacy, and compliance features, and how Azure can help you secure access to cloud resources, what it means to build a cloud governance strategy, and how Azure adheres to common regulatory and compliance standards. Discuss the factors that influence cost, tools you can use to help estimate and manage your cloud spend, and how Azure's service-level agreements (SLAs) can impact your application design decisions. COURSE CONTENT Module 1: Cloud Concepts In this module, you'll take an entry level end-to-end look at Azure and its capabilities, which will provide you with a solid foundation for completing the available modules for Azure Fundamentals. Introduction to Azure fundamentals Fundamental Azure concepts After completing this module, students will be able to: Understand the benefits of cloud computing in Azure and how it can save you time and money. Explain concepts such as high availability, scalability, elasticity, agility, and disaster recovery. Module 2: Core Azure Services In this module, you learn about core Azure services like Azure database, Azure compute, Azure storage, and Azure Networking. Core Azure architectural components Core Azure workload products Azure networking services Azure storage services Azure database services After completing this module, students will be able to: Describe core Azure architecture components such as subscriptions, management groups, and resources. Summarize geographic distribution concepts such as Azure regions, region pairs, and availability zones. Understand the services available in Azure including compute, network, storage, and databases. Identify virtualization services such as Azure VMs, Azure Container Instances, and Azure Kubernetes. Compare Azure's database services such as Azure Cosmos DB, Azure SQL, and Azure Database for MySQL. Examine Azure networking resources such as Virtual Networks, VPN Gateways, and Azure ExpressRoute. Summarize Azure storage services such Azure Blob Storage, Azure Disk Storage, and Azure File Storage. Module 3: Core Solutions In this module, you'll learn about AI machine learning, Azure DevOps, monitoring fundamentals, management fundamentals, serverless computing fundamentals. and IoT fundamentals. Choose the best Azure IoT service Choose the best AI service Choose the best Azure serverless technology Choose the best tools with DevOps and GitHub Choose the best management tools Choose the best Azure monitoring service After completing this module, students will be able to: Choose the correct Azure AI service to address different kinds of business challenges. Choose the best software development process tools and services for a given business scenario. Choose the correct cloud monitoring service to address different kinds of business challenges. Choose the correct Azure management tool to address different kinds of technical needs. Choose the right serverless computing technology for your business scenario. Choose the best Azure IoT service for a given business scenario. Module 4: General security and networking features In this module, you will learn how to protect yourself against security threats, and secure your networks with Azure. Security Tools and Features Secure Network Connectivity After completing this module, students will be able to: Strengthen your security posture and protect against threats by using Microsoft Defender for Cloud. Collect and act on security data from many different sources by using Microsoft Sentinel. Manage dedicated physical servers to host your Azure VMs for Windows and Linux. Identify the layers that make up a defense in depth strategy. Explain how Azure Firewall enables you to control what traffic is allowed on the network. Configure network security groups to filter network traffic to and from Azure resources. Explain how Azure DDoS Protection helps protect your Azure resources from DDoS attacks. Module 5: Identity, Governance, Privacy, and Compliance In this module, you will learn about Azure identity services, how to build a cloud governance strategy, and privacy, compliance and data protection standards on Azure. Core Azure identity services Azure Governance Methodologies Privacy, Compliance, and Data Protection standards After completing this module, students will be able to: Explain the difference between authentication and authorization. Describe how Azure Active Directory provides identity and access management. Explain the role single sign-on (SSO), multifactor authentication, and Conditional Access play. Make organizational decisions about your cloud environment by using the CAF for Azure. Define who can access cloud resources by using Azure role-based access control. Apply a resource lock to prevent accidental deletion of your Azure resources. Apply tags to your Azure resources to help describe their purpose. Control and audit how your resources are created by using Azure Policy. Enable governance at scale across multiple Azure subscriptions by using Azure Blueprints. Explain the types of compliance offerings that are available on Azure. Gain insight into regulatory standards and compliance on Azure. Explain Azure capabilities that are specific to government agencies. Module 6: Azure Pricing and Lifecycle In this module, you will learn how to plan and manage Azure costs, and how to choose the right Azure services though SLAs and service lifecycle. Planning and Cost Management Azure Service Level Agreements (SLAs) and Lifecycle After completing this module, students will be able to: Use the Total Cost of Ownership Calculator. Describe the different ways you can purchase Azure products and services. Use the Pricing calculator to estimate the monthly cost of running your cloud workloads. Define the major factors that affect total cost and apply recommended practices to minimize cost. Describe what a service-level agreement (SLA) is and why SLAs are important. Identify factors, such as the service tier you choose, that can affect an SLA. Combine SLAs to compute a composite SLA. Describe the service lifecycle in Azure. TEST CERTIFICATION This course helps to prepare for exam AZ-900. FOLLOW ON COURSES M-AZ104, Microsoft Azure Administrator M-AZ204, Developing Solutions for Microsoft Azure M-AZ303, Microsoft Azure Architect Technologies M-DP200, Implementing an Azure Data Solution (DP-200) [-]

Blended Virtual CourseThe course is a hybrid of virtual training and self-study which will be a mixture of teaching using Microsoft Teams for short bursts at the beginning of the day, then setting work for the rest of the day and then coming back at the end of the day for another on-line session for any questions before setting homework in the form of practice exams for the evening. You do not have to install Microsoft Teams, you will receive a link and can access the course using the web browser.  Remote proctored examTake your exam from any location. Read about iSQI remote proctored exam here Requirements for the exam: The exam will be using Google Chrome and there is a plug-in that needs to be installed  You will need a laptop/PC with a camera and a microphone  A current ID with a picture    KursinnholdDette kurset forklarer det grunnleggende i softwaretesting. Det er basert på ISTQB- pensum og er akkreditert av BCS.    Kurset inneholder øvelser, prøveeksamener og spill for å fremheve sentrale deler av pensum. Dette sammen med kursmateriell og presentasjoner vil bistå i forståelse av begreper og metoder som blir presentert.   Bouvet sine kursdeltakeres testresultater vs ISTQB gjennomsnitt   «Særs godt kurs med mye fokus på praktiske oppgaver som gjør læring vesentlig lettere. Engasjert kursleder hjelper også. Kursleder starter på et nivå som alle føler seg komfortabel med.» Alexander Røstum Course content Fundamentals of Testing This section looks at why testing is necessary, what testing is, and explains general testing principles, the fundamental test process, and psychological aspects of testing.   Skills Gained • Learn about the differences between the testing levels and targets• Know how to apply both black and white box approaches to all levels of testing• Understand the differences between the various types of review and be aware of Static Analysis• Learn aspects of test planning, estimation, monitoring and control• Communicate better through understanding standard definitions of terms• Gain knowledge of the different types of testing tools and the best way of implementing those tools   Testing throughout the software lifecycle Explains the relationship between testing and life cycle development models, including the V-model and iterative development. Outlines four levels of testing:• Component testing• Integration testing• System testing• Acceptance testing Describes four test types, the targets of testing:• functional• non-functional characteristics• structural• change-related Outlines the role of testing in maintenance.   Static Techniques Explains the differences between the various types of review, and outlines the characteristics of a formal review. Describes how static analysis can find defects.   Test Design Techniques This section explains how to identify test conditions (things to test) and how to design test cases and procedures. It also explains the difference between white and black box testing. The following techniques are described in some detail with practical exercises :• Equivalence Partitioning• Boundary Value Analysis• Decision Tables• State Transition testing• Statement and Decision testingIn addition, use case testing and experience-based testing (such as exploratory testing) are described, and advice is given on choosing techniques.   Test Management This section looks at organisational implications for testing and describes test planning and estimation, test monitoring and control. The relationship of testing and risk is covered,and configuration management and incident management.   Tool Support for Testing Different types of tool support for testing are described throughout the course. This session summarises them, and discusses how to use them effectively and how best to introduce a new tool.   The Exam The ISTQB Foundation exam is a 1-hour, 40 question multiple choice exam. There is an extra 15 minutes allowed for candidates whose first language is not English.The pass mark is 65% (26/40) and there are no pre requisites to taking this exam.The exam is a remote proctored exam [-]

COURSE OVERVIEW Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics. TARGET AUDIENCE The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course data analysts and data scientists who work with analytical solutions built on Microsoft Azure. COURSE OBJECTIVES   Explore compute and storage options for data engineering workloads in Azure Design and Implement the serving layer Understand data engineering considerations Run interactive queries using serverless SQL pools Explore, transform, and load data into the Data Warehouse using Apache Spark Perform data Exploration and Transformation in Azure Databricks Ingest and load Data into the Data Warehouse Transform Data with Azure Data Factory or Azure Synapse Pipelines Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines Optimize Query Performance with Dedicated SQL Pools in Azure Synapse Analyze and Optimize Data Warehouse Storage Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link Perform end-to-end security with Azure Synapse Analytics Perform real-time Stream Processing with Stream Analytics Create a Stream Processing Solution with Event Hubs and Azure Databricks Build reports using Power BI integration with Azure Synpase Analytics Perform Integrated Machine Learning Processes in Azure Synapse Analytics COURSE CONTENT Module 1: Explore compute and storage options for data engineering workloads This module provides an overview of the Azure compute and storage technology options that are available to data engineers building analytical workloads. This module teaches ways to structure the data lake, and to optimize the files for exploration, streaming, and batch workloads. The student will learn how to organize the data lake into levels of data refinement as they transform files through batch and stream processing. Then they will learn how to create indexes on their datasets, such as CSV, JSON, and Parquet files, and use them for potential query and workload acceleration. Introduction to Azure Synapse Analytics Describe Azure Databricks Introduction to Azure Data Lake storage Describe Delta Lake architecture Work with data streams by using Azure Stream Analytics Lab 1: Explore compute and storage options for data engineering workloads Combine streaming and batch processing with a single pipeline Organize the data lake into levels of file transformation Index data lake storage for query and workload acceleration After completing module 1, students will be able to: Describe Azure Synapse Analytics Describe Azure Databricks Describe Azure Data Lake storage Describe Delta Lake architecture Describe Azure Stream Analytics Module 2: Design and implement the serving layer This module teaches how to design and implement data stores in a modern data warehouse to optimize analytical workloads. The student will learn how to design a multidimensional schema to store fact and dimension data. Then the student will learn how to populate slowly changing dimensions through incremental data loading from Azure Data Factory. Design a multidimensional schema to optimize analytical workloads Code-free transformation at scale with Azure Data Factory Populate slowly changing dimensions in Azure Synapse Analytics pipelines Lab 2: Designing and Implementing the Serving Layer Design a star schema for analytical workloads Populate slowly changing dimensions with Azure Data Factory and mapping data flows After completing module 2, students will be able to: Design a star schema for analytical workloads Populate a slowly changing dimensions with Azure Data Factory and mapping data flows Module 3: Data engineering considerations for source files This module explores data engineering considerations that are common when loading data into a modern data warehouse analytical from files stored in an Azure Data Lake, and understanding the security consideration associated with storing files stored in the data lake. Design a Modern Data Warehouse using Azure Synapse Analytics Secure a data warehouse in Azure Synapse Analytics Lab 3: Data engineering considerations Managing files in an Azure data lake Securing files stored in an Azure data lake After completing module 3, students will be able to: Design a Modern Data Warehouse using Azure Synapse Analytics Secure a data warehouse in Azure Synapse Analytics Module 4: Run interactive queries using Azure Synapse Analytics serverless SQL pools In this module, students will learn how to work with files stored in the data lake and external file sources, through T-SQL statements executed by a serverless SQL pool in Azure Synapse Analytics. Students will query Parquet files stored in a data lake, as well as CSV files stored in an external data store. Next, they will create Azure Active Directory security groups and enforce access to files in the data lake through Role-Based Access Control (RBAC) and Access Control Lists (ACLs). Explore Azure Synapse serverless SQL pools capabilities Query data in the lake using Azure Synapse serverless SQL pools Create metadata objects in Azure Synapse serverless SQL pools Secure data and manage users in Azure Synapse serverless SQL pools Lab 4: Run interactive queries using serverless SQL pools Query Parquet data with serverless SQL pools Create external tables for Parquet and CSV files Create views with serverless SQL pools Secure access to data in a data lake when using serverless SQL pools Configure data lake security using Role-Based Access Control (RBAC) and Access Control List After completing module 4, students will be able to: Understand Azure Synapse serverless SQL pools capabilities Query data in the lake using Azure Synapse serverless SQL pools Create metadata objects in Azure Synapse serverless SQL pools Secure data and manage users in Azure Synapse serverless SQL pools Module 5: Explore, transform, and load data into the Data Warehouse using Apache Spark This module teaches how to explore data stored in a data lake, transform the data, and load data into a relational data store. The student will explore Parquet and JSON files and use techniques to query and transform JSON files with hierarchical structures. Then the student will use Apache Spark to load data into the data warehouse and join Parquet data in the data lake with data in the dedicated SQL pool. Understand big data engineering with Apache Spark in Azure Synapse Analytics Ingest data with Apache Spark notebooks in Azure Synapse Analytics Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics Integrate SQL and Apache Spark pools in Azure Synapse Analytics Lab 5: Explore, transform, and load data into the Data Warehouse using Apache Spark Perform Data Exploration in Synapse Studio Ingest data with Spark notebooks in Azure Synapse Analytics Transform data with DataFrames in Spark pools in Azure Synapse Analytics Integrate SQL and Spark pools in Azure Synapse Analytics After completing module 5, students will be able to: Describe big data engineering with Apache Spark in Azure Synapse Analytics Ingest data with Apache Spark notebooks in Azure Synapse Analytics Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics Integrate SQL and Apache Spark pools in Azure Synapse Analytics Module 6: Data exploration and transformation in Azure Databricks This module teaches how to use various Apache Spark DataFrame methods to explore and transform data in Azure Databricks. The student will learn how to perform standard DataFrame methods to explore and transform data. They will also learn how to perform more advanced tasks, such as removing duplicate data, manipulate date/time values, rename columns, and aggregate data. Describe Azure Databricks Read and write data in Azure Databricks Work with DataFrames in Azure Databricks Work with DataFrames advanced methods in Azure Databricks Lab 6: Data Exploration and Transformation in Azure Databricks Use DataFrames in Azure Databricks to explore and filter data Cache a DataFrame for faster subsequent queries Remove duplicate data Manipulate date/time values Remove and rename DataFrame columns Aggregate data stored in a DataFrame After completing module 6, students will be able to: Describe Azure Databricks Read and write data in Azure Databricks Work with DataFrames in Azure Databricks Work with DataFrames advanced methods in Azure Databricks Module 7: Ingest and load data into the data warehouse This module teaches students how to ingest data into the data warehouse through T-SQL scripts and Synapse Analytics integration pipelines. The student will learn how to load data into Synapse dedicated SQL pools with PolyBase and COPY using T-SQL. The student will also learn how to use workload management along with a Copy activity in a Azure Synapse pipeline for petabyte-scale data ingestion. Use data loading best practices in Azure Synapse Analytics Petabyte-scale ingestion with Azure Data Factory Lab 7: Ingest and load Data into the Data Warehouse Perform petabyte-scale ingestion with Azure Synapse Pipelines Import data with PolyBase and COPY using T-SQL Use data loading best practices in Azure Synapse Analytics After completing module 7, students will be able to: Use data loading best practices in Azure Synapse Analytics Petabyte-scale ingestion with Azure Data Factory Module 8: Transform data with Azure Data Factory or Azure Synapse Pipelines This module teaches students how to build data integration pipelines to ingest from multiple data sources, transform data using mapping data flowss, and perform data movement into one or more data sinks. Data integration with Azure Data Factory or Azure Synapse Pipelines Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines Lab 8: Transform Data with Azure Data Factory or Azure Synapse Pipelines Execute code-free transformations at scale with Azure Synapse Pipelines Create data pipeline to import poorly formatted CSV files Create Mapping Data Flows After completing module 8, students will be able to: Perform data integration with Azure Data Factory Perform code-free transformation at scale with Azure Data Factory Module 9: Orchestrate data movement and transformation in Azure Synapse Pipelines In this module, you will learn how to create linked services, and orchestrate data movement and transformation using notebooks in Azure Synapse Pipelines. Orchestrate data movement and transformation in Azure Data Factory Lab 9: Orchestrate data movement and transformation in Azure Synapse Pipelines Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines After completing module 9, students will be able to: Orchestrate data movement and transformation in Azure Synapse Pipelines Module 10: Optimize query performance with dedicated SQL pools in Azure Synapse In this module, students will learn strategies to optimize data storage and processing when using dedicated SQL pools in Azure Synapse Analytics. The student will know how to use developer features, such as windowing and HyperLogLog functions, use data loading best practices, and optimize and improve query performance. Optimize data warehouse query performance in Azure Synapse Analytics Understand data warehouse developer features of Azure Synapse Analytics Lab 10: Optimize Query Performance with Dedicated SQL Pools in Azure Synapse Understand developer features of Azure Synapse Analytics Optimize data warehouse query performance in Azure Synapse Analytics Improve query performance After completing module 10, students will be able to: Optimize data warehouse query performance in Azure Synapse Analytics Understand data warehouse developer features of Azure Synapse Analytics Module 11: Analyze and Optimize Data Warehouse Storage In this module, students will learn how to analyze then optimize the data storage of the Azure Synapse dedicated SQL pools. The student will know techniques to understand table space usage and column store storage details. Next the student will know how to compare storage requirements between identical tables that use different data types. Finally, the student will observe the impact materialized views have when executed in place of complex queries and learn how to avoid extensive logging by optimizing delete operations. Analyze and optimize data warehouse storage in Azure Synapse Analytics Lab 11: Analyze and Optimize Data Warehouse Storage Check for skewed data and space usage Understand column store storage details Study the impact of materialized views Explore rules for minimally logged operations After completing module 11, students will be able to: Analyze and optimize data warehouse storage in Azure Synapse Analytics Module 12: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link In this module, students will learn how Azure Synapse Link enables seamless connectivity of an Azure Cosmos DB account to a Synapse workspace. The student will understand how to enable and configure Synapse link, then how to query the Azure Cosmos DB analytical store using Apache Spark and SQL serverless. Design hybrid transactional and analytical processing using Azure Synapse Analytics Configure Azure Synapse Link with Azure Cosmos DB Query Azure Cosmos DB with Apache Spark pools Query Azure Cosmos DB with serverless SQL pools Lab 12: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link Configure Azure Synapse Link with Azure Cosmos DB Query Azure Cosmos DB with Apache Spark for Synapse Analytics Query Azure Cosmos DB with serverless SQL pool for Azure Synapse Analytics After completing module 12, students will be able to: Design hybrid transactional and analytical processing using Azure Synapse Analytics Configure Azure Synapse Link with Azure Cosmos DB Query Azure Cosmos DB with Apache Spark for Azure Synapse Analytics Query Azure Cosmos DB with SQL serverless for Azure Synapse Analytics Module 13: End-to-end security with Azure Synapse Analytics In this module, students will learn how to secure a Synapse Analytics workspace and its supporting infrastructure. The student will observe the SQL Active Directory Admin, manage IP firewall rules, manage secrets with Azure Key Vault and access those secrets through a Key Vault linked service and pipeline activities. The student will understand how to implement column-level security, row-level security, and dynamic data masking when using dedicated SQL pools. Secure a data warehouse in Azure Synapse Analytics Configure and manage secrets in Azure Key Vault Implement compliance controls for sensitive data Lab 13: End-to-end security with Azure Synapse Analytics Secure Azure Synapse Analytics supporting infrastructure Secure the Azure Synapse Analytics workspace and managed services Secure Azure Synapse Analytics workspace data After completing module 13, students will be able to: Secure a data warehouse in Azure Synapse Analytics Configure and manage secrets in Azure Key Vault Implement compliance controls for sensitive data Module 14: Real-time Stream Processing with Stream Analytics In this module, students will learn how to process streaming data with Azure Stream Analytics. The student will ingest vehicle telemetry data into Event Hubs, then process that data in real time, using various windowing functions in Azure Stream Analytics. They will output the data to Azure Synapse Analytics. Finally, the student will learn how to scale the Stream Analytics job to increase throughput. Enable reliable messaging for Big Data applications using Azure Event Hubs Work with data streams by using Azure Stream Analytics Ingest data streams with Azure Stream Analytics Lab 14: Real-time Stream Processing with Stream Analytics Use Stream Analytics to process real-time data from Event Hubs Use Stream Analytics windowing functions to build aggregates and output to Synapse Analytics Scale the Azure Stream Analytics job to increase throughput through partitioning Repartition the stream input to optimize parallelization After completing module 14, students will be able to: Enable reliable messaging for Big Data applications using Azure Event Hubs Work with data streams by using Azure Stream Analytics Ingest data streams with Azure Stream Analytics Module 15: Create a Stream Processing Solution with Event Hubs and Azure Databricks In this module, students will learn how to ingest and process streaming data at scale with Event Hubs and Spark Structured Streaming in Azure Databricks. The student will learn the key features and uses of Structured Streaming. The student will implement sliding windows to aggregate over chunks of data and apply watermarking to remove stale data. Finally, the student will connect to Event Hubs to read and write streams. Process streaming data with Azure Databricks structured streaming Lab 15: Create a Stream Processing Solution with Event Hubs and Azure Databricks Explore key features and uses of Structured Streaming Stream data from a file and write it out to a distributed file system Use sliding windows to aggregate over chunks of data rather than all data Apply watermarking to remove stale data Connect to Event Hubs read and write streams After completing module 15, students will be able to: Process streaming data with Azure Databricks structured streaming Module 16: Build reports using Power BI integration with Azure Synpase Analytics In this module, the student will learn how to integrate Power BI with their Synapse workspace to build reports in Power BI. The student will create a new data source and Power BI report in Synapse Studio. Then the student will learn how to improve query performance with materialized views and result-set caching. Finally, the student will explore the data lake with serverless SQL pools and create visualizations against that data in Power BI. Create reports with Power BI using its integration with Azure Synapse Analytics Lab 16: Build reports using Power BI integration with Azure Synpase Analytics Integrate an Azure Synapse workspace and Power BI Optimize integration with Power BI Improve query performance with materialized views and result-set caching Visualize data with SQL serverless and create a Power BI report After completing module 16, students will be able to: Create reports with Power BI using its integration with Azure Synapse Analytics Module 17: Perform Integrated Machine Learning Processes in Azure Synapse Analytics This module explores the integrated, end-to-end Azure Machine Learning and Azure Cognitive Services experience in Azure Synapse Analytics. You will learn how to connect an Azure Synapse Analytics workspace to an Azure Machine Learning workspace using a Linked Service and then trigger an Automated ML experiment that uses data from a Spark table. You will also learn how to use trained models from Azure Machine Learning or Azure Cognitive Services to enrich data in a SQL pool table and then serve prediction results using Power BI. Use the integrated machine learning process in Azure Synapse Analytics Lab 17: Perform Integrated Machine Learning Processes in Azure Synapse Analytics Create an Azure Machine Learning linked service Trigger an Auto ML experiment using data from a Spark table Enrich data using trained models Serve prediction results using Power BI After completing module 17, students will be able to: Use the integrated machine learning process in Azure Synapse Analytics     [-]