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BGP training course description A study of BGP for non engineers working in the Internet. The course starts with a review of the basics of routers and routing tables and then moves on to a simple overview of how BPG works with a focus on BGP metrics influencing the route traffic takes through the Internet. Hands on with routers follow the major sessions to reinforce the theory. Note these hands on sessions are more demonstrations by the trainer but some can be followed along and done by delegates (e.g. looking at Internet routing tables.) What will you learn Explain how routing tables influence Internet traffic. Describe how BGP works. Explain the methods BGP can use to influence Internet traffic. Use traceroute, peeringdb, route collectors and looking glasses to analyse traffic flows. Explain the difference between bi lateral and multilateral peering using a route server. BGP training course details Who will benefit: Non technical staff wishing to know more about BGP. Prerequisites: None. Duration 1 day BGP training course contents Networks, routers and routing tables What is a network, what is a router, routing tables, static routes, routing protocols. When an ISP uses static routes and when they use BGP. IP addresses, subnet masks, groups of IP addresses. IPv6. Hands on: Showing a full routing table. Seeing traceroute being used. Basic BGP What's BGP? BGP versus other routing protocols, ASs, AS numbers. RIPE database, peeringdb. Hands on: Finding AS numbers. Showing simple BGP configuration and routing tables in an EVENG example. How BGP works Simple walk through of BGP incremental updates and how routes change when links go down. Hands on: Showing packets and route changes when a link goes down/comes up. BGP path selection Transit, peering, routing policy and route filtering. Longest matching rule in routing tables, route selection order, Local preference, AS prepend, MEDs. Hands on: Seeing BGP influencing traffic. Looking at peering policies in RIPE and peeringdb. Route servers What are route servers? LINX route servers, route server policy control and communities, What are route collectors, Looking glasses. Hands on: Seeing the LINX route server details in peeringdb, using a looking glass.
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Regular expressions training course description Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Python and MySQL. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them. What will you learn Use Regular Expressions. Troubleshoot Regular Expressions. Compare RE features among different versions. Explain how the regular expression engine works. Optimize REs. Match what you want, not what you don't want. Regular expressions training course details Who will benefit: Anyone looking to use regular expressions. Prerequisites: None. Duration 1 day Regular expressions training course contents Introduction to Regular Expressions Solving real problems, REs as a language, the filename analogy, language analogy, RE frame of mind, searching text files: egrep, egrep metacharacters, start and end of the line, character classes, matching any character with dot, alternation, ignoring differences in capitalization, word boundaries, optional items, other quantifiers: repetition, parentheses and backreferences, the great escape, expanding the foundation, linguistic diversification, the goal of a RE, more examples, RE nomenclature, Improving on the status quo. Extended introductory examples A short introduction to Perl, matching text with regular expressions, toward a more real-world example, side effects of a successful match, Intertwined regular expression, intermission, modifying text with regular expressions, example: form letter, example: prettifying a stock price, automated editing, a small mail utility, adding commas to a number with lookaround, text-to-HTML conversion, that doubled-word thing. Regular expression features and flavours The regex landscape, origins of REs, care and handling of REs, Integrated handling, procedural and object-oriented handling, search-and-replace example. strings character encodings and modes, strings as REs, character-encoding issues, unicode, regex modes and match modes, common metacharacters and features, character representations, character classes and class-like constructs, anchors and other 'zero-width assertions', comments and mode modifiers, grouping capturing conditionals and control. The mechanics of expression processing Two kinds of engines, new standards, regex engine types, from the department of redundancy department, testing the engine type, match basics, about the examples, rule 1: the match that begins earliest wins, engine pieces and parts, rule 2: the standard quantifiers are greedy, regex-directed versus text-directed, NFA engine: regex-directed, DFA engine: text-directed, first thoughts: NFA and DFA in comparison, backtracking, two important points on backtracking, saved states, backtracking and greediness, more about greediness and backtracking, problems of greediness, multi-character 'quotes', lazy quantifiers, greediness and laziness, laziness and backtracking, possessive quantifiers and atomic grouping, possessive quantifiers ?, +, *+, ++ and {m,n}+, the backtracking of lookaround, is alternation greedy? taking advantage of ordered alternation, NFA DFA and posix, the longest-leftmost', posix and the longest-leftmost rule, speed and efficiency. Practical regex techniques Continuation lines, matching an IP address, working with filenames, matching balanced sets of parentheses, watching out for unwanted matches, matching delimited text, knowing your data and making assumptions, stripping leading and trailing whitespace, matching and HTML tag, matching an HTML link, examining an HTTP URL, validating a hostname, plucking a hostname, plucking a URL, parsing CSV files. Crafting an efficient expression Efficiency vs. correctness, localizing greediness, global view of backtracking, more work for POSIX NFA, work required during a non-match, being more specific, alternation can be expensive, benchmarking, know what you re measuring, benchmarking with Python, common optimisations, the mechanics of regex application, pre-application optimizations, optimizations with the transmission, optimization of the regex itself, techniques for faster expressions, common sense techniques, expose literal text, expose anchors, lazy versus greedy: be specific, split into multiple REs, mimic initial-character discrimination, use atomic grouping and possessive quantifiers, lead the engine to a match, unrolling the loop, observations, using atomic grouping and possessive quantifiers, short unrolling examples, unrolling C comments, the free flowing regex, a helping hand to guide the match, a well-guided regex is a fast regex.
This session is for those who find themselves teaching even though they have not gone through teacher training. It is designed to give you the basic tools you need to begin delivering to ensure that learning takes place.
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Preparing for Digital Transformation Organizations today must keep pace with changing technology to stay abreast of the market demand. Keeping pace means a transformation of the entire organization into the digital age. This workshop presents the challenges, benefits, and pitfalls of digital transformation and how it will affect you, and how you can be better prepared and positioned for the upcoming digital transformation. The goal of this course is to enable you to become knowledgeable about the technologies behind a digital transformation in your organization and the driving forces compelling such a transformation. You will learn how to become engaged in the processes of transforming your organization digitally to meet with the growing demands of customers and clients What you will Learn Describe the impact that digital is making on the economy and on customer expectations Examine the nature and drivers of the digital transformation Evaluate new technologies such as Blockchain, Big Data, Artificial Intelligence, and other technologies and see how they work to bring about digital transformation Assess the impact of digital technologies on the current roles and positions in the organization Discuss both the demand that customers have for digital technologies and the impact the digital technologies have on the customer and its relationship with the organization Recognize the new technology trends in the digital transformation and what they mean to the future of the organization Identify how digital transformation will affect all roles and how to be prepared for the upcoming and continuing digital transformation Foundation Concepts Digital transformation versus automation Driving forces behind the digital transformation Learning from digital transformation successes Digital Transformation and Customer Orientation The Digital Customer Customer touch points and the customer journey Omnichannel concept Transform to the customer Digital Technologies and the Organization Relationship Management Big Data: The Basis for it All The Human Factor in Digital Transformations Risks of Digital Transformation Technology Trends Data and Business Analytics Other Major Trends Preview of Coming Attractions Pathway to Digital Transformation