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Network management technologies course description A comprehensive tour of the available network management technologies available for todays networks. The course starts with basic tools such as syslog along with Python network automation. SNMP is then covered with the *flow technologies and streaming telemetry. Configuration management with ansible, Python, NETCONF and RESTCONF is then studied. The final part of the course looks at SDN. Hands on sessions are used throughout to reinforce the theory rather than teach specific manufacturer equipment. Note that sections are available as individual courses. What will you learn Evaluate network management technologies. Evaluate network management technologies. Recognise the weaknesses of SNMP versus NETCONF and streaming telemetry. Explain the role of NETCONF and RESTCONF. Compare & contrast *flow and streaming telemetry. Explain the role of SDN in network management. Automate network configuration with ansible and Python. Network management technologies course details Who will benefit: Those wishing to manage networks. (Previous Python experience is NOT needed) Prerequisites: Intro to data comms Duration 5 days Network management technologies course content Basic network management Network management What is network management? Benefits, issues. FCAPS model. Fault management, Configuration management, accounting, performance, security. What to manage, what not to manage. Managing network devices, managing servers. Monitoring networks Traditional network tools Ping..., SSH, syslog, TFTP for configurations. nmap. Wireshark. CLI. Web based management. Splunk. Nessus, snort, Kali. Hands on syslog, network inventories. Network automation using the CLI Programming and automating networks, netOps. Python, Git. Python network modules, SSH, paramiko, netmiko. EVE-NG. Hands onPython network modules. Structured versus unstructured data Problems with automation and unstructured data. XML, JSON, YAML. The role of YANG. Hands on Parsing data. SNMP SNMP architecture, SNMP MIBs, SMI, the SNMP protocol, polling security. Configuring SNMP. SNMPv1, v2, v3, SNMP security. Which version should you use? MIBs and MIB structure. mib-2, extra parts of mib-2, Private enterprise MIBs. Summary: What SNMP is good/bad at. Hands on Configuring agents and a NMS. MIB browsing. Server management Microsoft, Linux, application polling. WMI vs SNMP. Hands on: Application polling. Performance management *flow Polling, push vs pull, netflow, sflow, IPFIX, *flow. Flows. Where to monitor traffic. Comparing *flow with SNMP. Architecture: Generators and collectors. When flows are exported. NetFlow reporting products. SolarWinds. Hands on Netflow configuration. Collectors. Streaming telemetry Model driven telemetry, periodic/on change. Structured data. Telemetry protocol stack. gRPC and gNMI. Protobuf. gNMI operations. Telemetry architecture. Telegraf, databases, Grafana. Hands on Telemetry example. Configuration management Configuration management tools Chef, puppet, ansible, saltstack. Ansible architecture, controlling machines, nodes, agentless, SSH, modules. Inventories, playbooks, modules, network modules, jinja2 templates. Hands on Network configuration with ansible. NETCONF What is NETCONF? Protocol stack, Data stores, traffic flows, validating configurations, rollback. YANG data models and how YANG is used by NETCONF. XML. Explorers and other tools. Hands on anx, Python and NETCONF. RESTCONF The REST API, HTTP, What is RESTCONF? Tools including Postman. Comparison with NETCONF. Hands on Configuration with RESTCONF. Python network automation: configuration SSH issues. Using structured data. Jinja2. ncclient, requests, NAPALM, Nornir. Automated testing. Hands on Python network device configuration with nornir. Software Defined Networks and orchestration Classic SDN What is SDN? benefits. SDN architecture. SDN applications, SDN switches, SDN controllers, Network Operating Systems. Control plane, data plane. Northbound interfaces. SDN components. Southbound interfaces. OpenFlow. ONF, OpenFlow ports, Flow tables. Network virtualization Virtual networks, virtual switches, NfV. Service chaining. NfV and SDN. SDN implementations Classic SDN, Hybrid SDN, SDN via APIs, SDN via overlays. Data centre SDN, VXLAN, Service Provider SDN, SD WAN, Enterprise SDN, WiFi. SDN and open source OpenDaylight, OpenVSwitch, Open Networking Forum, Open Network Operating System. Hands onOpenStack. SD-WAN What is SD-WAN? Architecture: Edge, gateway, orchestrator, controller. Overlay and underlay. Use of MPLS, 4G/5G. Benefits and features. Secure Access Service Edge (SASE).

This course explains how huge chunks of data can be analyzed and visualized using the power of the data analyst toolbox. You will learn Python programming, advanced pivot tables' concepts, the magic of Power BI, perform analysis with Alteryx, master Qlik Sense, R Programming using R and R Studio, and create stunning visualizations in Tableau Desktop.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who need output from a database. In some cases, database programs have limited reporting tools, or tools that are not accessible. Learners may or may not have programming or SQL experience. Overview In this course, you will connect to a database to extract data and present it as a report. You will: Identify the elements of the Crystal Reports interface. Create and modify a basic report. Use formulas to calculate and filter data. Build a parameterized report. Group report data. Enhance a report. Create a report using data from an Excel workbook. Distribute data. In this course, students will create a basic report by connecting to a database and modifying the report's presentation. 1 - EXPLORING THE CRYSTAL REPORTS INTERFACE Topic A: Explore Crystal Reports Topic B: Use Crystal Reports Help Topic C: Customize Report Settings 2 - WORKING WITH REPORTS Topic A: Create a Report Topic B: Modify a Report Topic C: Display Specific Report Data Topic D: Work with Report Sections 3 - USING FORMULAS IN REPORTS Topic A: Create a Formula Topic B: Edit a Formula Topic C: Filter Data by Using a Formula Topic D: Work with Advanced Formulas and Functions Topic E: Handle Null Values 4 - BUILDING PARAMETERIZED REPORTS Topic A: Create a Parameter Field Topic B: Use a Range Parameter in a Report Topic C: Create a Prompt 5 - GROUPING REPORT DATA Topic A: Group Report Data Topic B: Modify a Group Report Topic C: Group by Using Parameters Topic D: Create a Parameterized Top N Report 6 - ENHANCING A REPORT Topic A: Format a Report Topic B: Insert Objects in a Report Topic C: Suppress Report Sections Topic D: Use Report Templates 7 - CREATING A REPORT FROM EXCEL DATA Topic A: Create a Report Based on Excel Data Topic B: Modify a Report Generated from Excel Data Topic C: Update Data in a Report Based on Excel Data 8 - DISTRIBUTING DATA Topic A: Export Data Topic B: Create Mailing Labels 9 - APPENDIX Appendix A: Setting Up and Configuring Data Sources Appendix B: Using Report Processing Techniques Appendix C: Using Functions in Formulas

The course helps you learn how to program with Python without any prior experience. The course also emphasizes learning the Django framework. You'll work on 4 major projects that will ensure that you have acquired and implemented your newly added skills to make Python-based websites with Django.

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Explore all the amazing things you can do with Google Apps Script with just a few lines of code, such as supercharge your Google Workspace apps, save time, and more. Learn how Google Apps Script allows you to interact with the Google Suite of products and create customized functionality within those products. You need to have prior coding experience to get started on this course.

Become a master NLP practitioner who brings positivity to society and helps people hit milestones. Learn Emotional Intelligence, Sensory Acuity, and language patterns.

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Learn how to build and launch React web applications using React, Redux, Webpack, React-Router, and more!

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