Gerelateerd aan
-
2009 is the 40th anniversary of the first computer network - the precursor of the internet - and the 20th anniversary of the brilliant idea that led to the creation of the world wide web. What exactly is the internet, and how does it differ from the world wide web? Who were its pioneers, and what technological surprises has it sprung? This album opens with a specially recorded interview with John Naughton, Professor of the Public Understanding of Technology at The Open University and author of 'A brief history of the future - the origins of the internet'. He explores some of the key moments in the short but spectacular history of an extraordinary phenomenon, the people who made them happen, and some of the problems that have emerged. The album also features archive interviews with Tim Berners-Lee, Vint Cerf, Donald Davies and other pioneers of the internet age, recorded in the late 1990s. The album is completed by a newly recorded interview with Rodney Harrison, lecturer in Heritage Studies at The Open University, in which he talks about his research into Second Life: Cyber-Archaeologies, Heritage and Virtual Communities. The interviews are presented by radio journalist Penny Boreham.
-
-
Angular overview of components, interpolation, data binding, built-in directives, navigation, routing basics, services, dependency injection, reactive forms, template-driven forms, nested components, pipes, RxJS Observables, retrieving data using HTTP, Firebase and AngularFire intro, Firestore Collections, modules, Angular CLI, and more
-
Construction is one of the most complex, fragmented and challenging industries to work in, but when you reflect on a finished project, there is always great satisfaction in the work done. Join Quantity Surveyor and Founder of C-Link (www.c-link.com), Paul Heming, each week as he interviews experts from across the construction industry to share tactics for project success and uncover technologies of the future that will take us forward. Own the Build is a show for Main Contractors, Quantity Surveyors, Project Managers or anyone interested in learning more about the construction world.
-
-
-
-
-
-
-
We’re lighting up the campfire and swapping stories on everything involved in building a brand, scaling a startup, launching new products, and unembellished career talk from the brand builders that we admire most.You'll join Camp Counselors, Bobby Narang and Jass Binning, as they interview the most incredible leaders and founders from diverse backgrounds in marketing, tech, and beyond to explore what it takes to build a leading brand that’s shaping the world of B2B.Every campfire starts with a spark and a story, so tune in to ours. Intro music by:NEW HORIZONS - Lesion X https://soundcloud.com/lesionxbeatsCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: https://bit.ly/-new-horizonsMusic promoted by Audio Library https://youtu.be/HK4Jzkx-o3I
-
-
-
-
-
-
The free lunch is over! Computer systems up until the turn of the century became constantly faster without any particular effort simply because the hardware they were running on increased its clock speed with every new release. This trend has changed and today's CPUs stall at around 3 GHz. The size of modern computer systems in terms of contained transistors (cores in CPUs/GPUs, CPUs/GPUs in compute nodes, compute nodes in clusters), however, still increases constantly. This caused a paradigm shift in writing software: instead of optimizing code for a single thread, applications now need to solve their given tasks in parallel in order to expect noticeable performance gains. Distributed computing, i.e., the distribution of work on (potentially) physically isolated compute nodes is the most extreme method of parallelization.
Big Data Analytics is a multi-million dollar market that grows constantly! Data and the ability to control and use it is the most valuable ability of today's computer systems. Because data volumes grow so rapidly and with them the complexity of questions they should answer, data analytics, i.e., the ability of extracting any kind of information from the data becomes increasingly difficult. As data analytics systems cannot hope for their hardware getting any faster to cope with performance problems, they need to embrace new software trends that let their performance scale with the still increasing number of processing elements.
In this lecture, we take a look a various technologies involved in building distributed, data-intensive systems. We discuss theoretical concepts (data models, encoding, replication, ...) as well as some of their practical implementations (Akka, MapReduce, Spark, ...). Since workload distribution is a concept which is useful for many applications, we focus in particular on data analytics. -