352 Scala courses

HTML5 development training course description This three-day MTA Training course helps you prepare for Microsoft Technology Associate Exam 98-375, and build an understanding of these topics: Manage the Application Life Cycle, Build the User Interface by Using HTML5, Format the User Interface by Using CSS, Code by Using JavaScript. This course leverages the same content as found in the Microsoft Official Academic Course (MOAC) for this exam. What will you learn Manage the Application Life Cycle. Build the User Interface by Using HTML5. Format the User Interface by Using CSS. Code by Using JavaScript. HTML5 development training course details Who will benefit: Anyone working with HTML5. Prerequisites: None. Duration 3 days HTML5 development training course contents Managing the Application Life Cycle Platform fundamentals Packaging and the runtime environment: app package, app container, credentials/permission sets, host process, leverage existing HTML5 skills and content for slate/tablet applications. Manage the state of an application Manage session state, app state and persist state information; understand states of an application; understand the differences between local and session storage. Debug and test a HTML5 touch-enabled application Touch gestures; gestures you test on a device. HTML5 UI: Text, Graphics, and Media HTML5 tags for text content and graphics. When, why and how to use Canvas; when, why and how to use scalable vector graphics (SVG). HTML5 tags to play media. Video and audio tags. HTML5 UI: Organization, Input, and Validation HTML5 tags to organise content and forms Tables, lists, sections; semantic HTML. HTML5 tags for input and validation CSS Essentials: Content Flow, Positioning, styling Core CSS concepts Separate presentation from content (create content with HTML and style content with CSS); manage content flow (inline versus block flow); manage positioning of individual elements( float versus absolute positioning); manage content overflow (scrolling, visible and hidden); basic CSS styling. CSS Essentials: Layouts Arrange UI content by using CSS Use flexible box and grid layouts to establish content alignment, direction and orientation; proportional scaling and use of "free scale" for elements within a flexible box or grid; order and arrange content; concepts for using flex box for simple layouts and grid for complex layouts; grid content properties for rows and columns; use application templates. Managing Text Flow by Using CSS Regions and using regions to flow text content between multiple sections (content source, content container, dynamic flow, flow-into, flow-from, msRegionUpdate, msRegionOverflow, msGetRegionContent); columns and hyphenation and using these CSS settings to optimise the readability of text; use "positioned floats" to create text flow around a floating object Managing the Graphical Interface by Using CSS Graphics effects (rounded edges, shadows, transparency, background gradients, typography and Web Open Font Format); 2-D 3-D transformations (translate, scale, rotate, skew and 3-D perspective transitions and animations); SVG filter effects; Canvas. JavaScript and coding essentials Manage and maintain JavaScript, Create and use functions; jQuery and other third-party libraries. Update the UI by using JavaScript Locate/access elements; listen and respond to events; show and hide elements; update the content of elements. Animations, Graphics, and Accessing Data Code animations with JavaScript animation; manipulate the canvas; work with images, shapes and other graphics. Access data access by using JavaScript Send and receive data; transmit complex objects and parsing; load and save files; App Cache; datatypes; forms; cookies; localStorage JavaScript coding for Touch Interface, Device and Operating System Resources, and More Respond to the touch interface, Gestures, how to capture and respond to gestures, Code additional HTML5 APIs, GeoLocation, Web Workers, WebSocket; File API, Access device and operating system resources, In- memory resources, such as contact lists and calendar; hardware capabilities, such as GPS, accelerometer and camera.

Explore cutting-edge power system training with EnergyEdge. Learn about integrating solar, storage, and DERs for efficient energy management. Enroll now!

Intro to SQL training course description A hands on course focusing on the use of SQL. In particular this course does not concentrate on any particular version of SQL but rather enables delegates to recognise the differences found in SQL on different platforms. What will you learn Explain the difference between standard SQL and different flavours. Use SQL statements to query databases. Use SQL statements to define databases. Intro to SQL training course details Who will benefit: Anyone working with databases. Prerequisites: None. Duration 2 days Intro to SQL training course contents What is SQL? What is SQL? History, standards, What is SQL used for? Dialects, ANSI SQL, PL/SQL, Transact SQL, front ends. Database basics RDBMS, Tables. Hands on Investigating a database. Basic SQL commands SQL Overview: SQL DML, SQL DDL, SQL queries. SELECT, WHERE and ORDER BY clauses. Combining conditions. IN, LIKE and BETWEEN. Hands on Querying a database from existing tables. SQL data retrieval Scalar functions. Hands on Selecting data from an existing database. More SQL data retrieval Scalar functions, variations. Aggregate functions, GROUP BY. HAVING. Hands on Selecting data from an existing database. Table joins Multiple tables, joins, keys, inner joins, left joins, right joins. Hands on Selecting data from an existing database. SQL basic data manipulation INSERT, UPDATE, MERGE, DELETE. Transaction controls: COMMIT, ROLLBACK. Hands on Modifying data in tables. SQL Data Definition USE, CREATE, DROP, TRUNCATE, ALTER. Hands on Managing new tables and columns. Data control GRANT, REVOKE. Hands on Defining permissions.

The NCSP® Foundation accredited (APMG International), certified (NCSC/GCHQ-UK) and recognized (DHS-CISA-USA) certification course introduces business, technology, auditing, and management professionals to the fundamentals of digital business, its risks, and the NIST Cybersecurity Framework's role in helping organizations manage and mitigate digital risk. This course also introduces candidates to an Affordable, Pragmatic, and Scalable Digital Value Management System (DVMS) Create, Protect, and Deliver (CPD) model designed to enable any size organization to quickly adopt and adapt the frameworks and models (NIST-CSF, NIST Privacy Framework, CMMC, etc.) that may be required to address internal, external (regulatory) and cyber threat landscape changes. The DVMS enables enterprises to become adaptive, cyber-resilient organizations capable of creating, protecting, and delivering trusted digital business value to their stakeholders.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools. Overview After completing this course, students will be able to: - Identify independent and dependent variables and measurement levels in their own analytical work scenarios. - Identify variables of interest in relational database tables. - Choose a data aggregation level and data set design appropriate for the intended analysis and tool. - Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. - Create stored procedures, views, and functions to modularize data retrieval code. This course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. 1 - INTRODUCTION TO TSQL FOR BUSINESS INTELLIGENCE Two Approaches to SQL Programming TSQL Data Retrieval in an Analytics / Business Intelligence Environment The Database Engine SQL Server Management Studio and the CarDeal Sample Database Identifying Variables in Tables SQL is a Declarative Language Introduction to the SELECT Query Lab 1: Introduction to TSQL for Business Intelligence 2 - TURNING TABLE COLUMNS INTO VARIABLES FOR ANALYSIS: SELECT LIST EXPRESSIONS, WHERE, AND ORDER BY Turning Columns into Variables for Analysis Column Expressions, Data Types, and Built-in Functions Column aliases Data type conversions Built-in Scalar Functions Table Aliases The WHERE clause ORDER BY Lab 1: Write queries 3 - COMBINING COLUMNS FROM MULTIPLE TABLES INTO A SINGLE DATASET: THE JOIN OPERATORS Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSS JOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNER JOIN Understanding Joins, Part 3: The OUTER JOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTER JOINs Combining JOIN Operations with WHERE and ORDER BY Lab 1: Write SELECT queries 4 - CREATING AN APPROPRIATE AGGREGATION LEVEL USING GROUP BY Identifying required aggregation level and granularity Aggregate Functions GROUP BY HAVING Order of operations in SELECT queries Lab 1: Write queries 5 - SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS Non-correlated and correlated subqueries Derived tables Common table expressions Lab 1: Write queries 6 - ENCAPSULATING DATA RETRIEVAL LOGIC Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Lab 1: Encapsulating Data Retrieval Logic 7 - GETTING YOUR DATASET TO THE CLIENT Connecting to SQL Server and Submitting Queries from Client Tools Connecting and running SELECT queries from: Excel PowerBI RStudio Exporting datasets to files using Results pane from SSMS The bcp utility The Import/Export Wizard Lab 1: Getting Your Dataset to the Client Additional course details: Nexus Humans 55232 Writing Analytical Queries for Business Intelligence 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 55232 Writing Analytical Queries for Business Intelligence 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.

About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course will assist energy professionals in the planning and operation of a power system from renewable energy sources. The VILT course will discuss key operating requirements for an integrated, reliable and stable power system. The unique characteristics of renewable energy are discussed from a local, consumer centric and system perspective, bringing to life the ever-changing paradigm in delivering energy to customers. The course will explore the technical challenges associated with interconnecting and integrating hundreds of gigawatts of solar power onto the electricity grid in a safe and reliable way. With references to international case studies, the VILT course will also demonstrate the state of the art methodologies used in forecasting solar power. The flexibility of the invertor-based resources will facilitate higher penetrations of photovoltaic, battery electricity storage systems and demand response while co-optimizing customer resources. The contribution of inverter-based generators that provides voltage support, frequency response and regulation (droop response), reactive power and power quality with a high level of accuracy and fast response will be addressed. Furthermore, this VILT course will also describe how microgrids' controllers can allow for a fully automated energy management. Distributed energy resources are analyzed in detail from a technical and financial aspect and will address the best known cost based methodologies such as project financing and cost recovery. Training Objectives Upon completion of this VILT course, participants will be able to: Learn about renewable energy resources, their applications and methods of analysis of renewable energy issues. Review the operational flexibility of renewable energy at grid level, distribution network and grid edge devices. Understand and analyze energy performance from main renewable energy systems. Get equipped on the insights into forecasting models for solar energy. Predict solar generation from weather forecasts using machine learning. Explore operational aspects of a complex power system with variability from both the supply & demand sides. Manage the impact of the design of a Power Purchase Agreement (PPA) on the power system operation. Target Audience Engineers, planners and operations professionals from the following organizations: Energy aggregators who would like to understand the system operations of renewable energy power plants Renewable energy power system operator Energy regulatory agencies who aim to derive strategies and plans based on the feedback obtained from the power system operations Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course presents advanced methodologies that implement demand response and energy conservation programs in light of the integration of new technologies, regulatory changes and the accelerated penetration of renewable energy resources. This VILT course provides examples and case studies from North American and European jurisdictions covering the operational flexibilities on the demand side including requirements for new building codes to achieve zero net energy. The course describes a public agency's goals and objectives for conserving and otherwise reducing energy consumption and managing its demand for energy. This course presents the demand response implemented for economics and system security such as system balancing and relieving transmission congestion, or for system adequacy. The course also presents the principal attributes of conservation programs and the associated success criteria. In a system with increased penetration of renewable resources, demand response provides flexibility to system operators, helping them to maintain the reliability and the security of supply. Demand response is presented as a competitive alternative to additional power sources, enhancing competition and liquidity in electricity markets. The unique characteristics are discussed from a local, consumer centric and also from a system perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperability aspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy with IOT enabled flexibilities at system level, distribution networks and microgrids. The VILT course introduces the blockchain as a new line of defense against cyber threats and its increasing application in P2P transactions and renewable certificates. Our trainer's industry experience spans three decades with one of the largest Canadian utilities where she led or contributed to large operational studies and energy policies and decades of work with IEEE, NSERC and CIGRE. Our key expert also approaches to the cross sectional, interdisciplinary state of the art methodologies brings real life experience of recent industry developments. Training Objectives Innovative Digital Technologies How systems Facilitate Operational Flexibility on the Demand Side The Ecosystem of Demand Side Management Programs Advanced Machine Learning techniques with examples from CAISO Regulatory Policy Context and how to reduce regulatory barriers Industry Examples from NERC and ENTSO Relevant Industry standards: IEEE and IEC Manage Congestion with Distributed Operational Flexibilities: Grid to Distribution Controls; examples from NERC (NA) and ENTSO (Europe) Grid solutions with IEC 61850 communication protocols Decentralized grid controls The New Grid with accelerated V2G and Microgrids How DSM is and will be applied in Your System: Examples and discussions Target Audience Regulators and government agencies advising on public energy conservation programs All professionals interested in expanding their expertise, or advancing their career, or take on management and leadership roles in the rapidly evolving energy sector Energy professionals implementing demand side management, particularly in power systems with increased renewable penetration, to allow the much needed operational flexibility paramount to maintaining the reliability and stability of the power system and in the same time offering all classes of customers flexible and economical choices Any utility professional interested in understanding the new developments in the power industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

About this Virtual Instructor Led Training (VILT) Asia Pacific is set to be the largest and fastest growing Hydrogen market globally. This growth is driven by decarbonisation of energy-use, ammonia production and rising demand of fuel cell electric vehicles. Hydrogen as a fuel has outstanding energy carrying capacity and many application possibilities ranging from Petroleum refinery, Ammonia and Methanol production, Transportation and Power generation. Although the current petrochemical market segment will remain strongest in the near future, it is the transport and power sector which spurs the vision of a massive market takeoff in the next decade. The ever-rising share of renewable energies require flexible and scalable storage solutions, which in turn offers many additional revenue streams beyond pure electricity sales. Adding to this the strong impetus towards decarbonization of the transport sector from cars, trucks, trains to ships and even airplanes creates the breed for an exciting and yet untapped market potential. This course aims to clarify and assess the hydrogen business case along its value chain and versatile market applications. Training Objectives Understanding current hydrogen market status and recent developments Major drivers and inhibitors influencing the growth of the market Understanding and comparing various production technology processes Challenges and solutions in transport, distribution and storage of hydrogen Mapping the many petrochemical, energy and transport applications Analyse business cases from around the world and understand their economics Target Audience Project developers Equipment Manufacturers Oil, Gas and Petrochemical sector companies IPPs and utilities Transport sector companies and port operators Policy makers and regulators Investors and lenders Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. Trainer Your expert course leader is an internationally renowned energy communicator and business educator, focused on the interconnected clean energy transition topics of renewable power, energy storage, energy system electrification and hydrogen. His own independent technology tracking, market assessment and opportunity/risk analysis is delivered to clients through a mix of business advisory work, commissioned content, small-group training (online & in-person), and one-to-one executive coaching (online). In the hydrogen sector, he is currently lead consultant and trainer to the World Hydrogen Leaders network, and writer of their 'This Week in Hydrogen' news column. He is also co-presenter of the 'New Energy Chinwag' podcast, which regularly covers hydrogen-related issues. During more than 15 years as an independent energy expert, he has helped companies from large multinationals to innovative start-ups - totalling assignments in over 30 countries across 5 continents. Most recently, he has presented clean energy training in locations as diverse as Singapore, the UK, South Africa, The Philippines, the USA, Mexico, Spain and Dubai - and, in recent times of course, online to international audiences from across the world. Prior to this, he was Research Director for over 10 years at Informa, a $9 billion business intelligence provider; where he drove new market identification, analysis and project deployment work, and managed teams in the UK and US. He has a strong science background, holding a 1st Class Honours degree in Natural Sciences from the University of Cambridge, a PhD in Earth Sciences and a further Diploma in Economics & Sustainability from the UK's Open University. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Total sFlow training course description A comprehensive hands on course covering sFlow. The course starts with the basics of flows moving swiftly onto configuring sFlow and studying the information it provides. What will you learn Describe sFlow. Use Nmap. Recognise how sFlow can be used. Describe the issues in using sFlow. Compare SFlow with SNMP and NetFlow. Total sFlow training course details Who will benefit: Technical staff working with sFlow. Prerequisites: TCP/IP foundation for engineers. Duration 1 day Total sFlow training course content What is SFlow? Where to monitor traffic. Packet based sampling, Time based sampling. Adaptive sampling. Flow samples, Counter samples. Hands on Wireshark flow analysis. Getting started with sFlow sFlow configuration. Enabling sFlow. Per interface. Hands on Accessing sFlow data using the CLI. sFlow architecture SFlow agents and collectors. When flows are exported. Distributed sFlow architecture, subagents. sFlow reporting products. SolarWinds. Hands on Collector software. sFlow features and benefits Troubleshooting with sFlow, controlling congestion, security and audit trail analysis. Hands on Using sFlow. sFlow versus other technologies Flows. sFlow impact and scalability. sFlow versus SNMP and RMON, SFlow versus NetFlow/IPFIX. Hands on Advanced sFlow configuration.

Streaming telemetry training course description An introduction to streaming telemetry. The course progresses from a brief look at the weaknesses of SNMP onto what streaming telemetry is, how it differs from the xflow technologies, the data formats available and how to configure it. What will you learn Describe streaming telemetry. Explain how streaming telemetry works. Describe the data presentation formats available. Configure streaming telemetry. Streaming telemetry training course details Who will benefit: Network engineers. Prerequisites: TCP/IP foundation for engineers. Duration 1 day Streaming telemetry training course content What is streaming telemetry? SNMP weaknesses, Netflow, sflow, polling and the old models, push vs pull, What is streaming telemetry? Telemetry streaming architecture Model driven versus event driven telemetry, subscriptions, publications. Periodic versus on change, model selection and scalability. Telemetry streaming protocols TCP, UDP, SSH, HTTP, HTTP2, NETCONF, RESTCONF, gRPC, gNMI. Models and Encoding The role of YANG. YANG models and tools. XML/ NETCONF, JSON/RESTCONF, JSON over UDP. Protocol buffers/gRPC. Google Protocol Buffers Decoder ring, protocol definition file. GPB-KV, GPB-Compact. Keys. Streaming telemetry configuration Router: Destination, Sensor, subscription. Collector: YANG models, .proto file. Pipeline. ELK: Consume, store, visualise streaming data. Collection tools APIs, YANG development Kit, Downstream consumers, influxdata, Grafana, Kafka, Prometheus, others.