Relaterat
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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
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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.
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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
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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. -
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This podcast is here to help myself mainly. I am a year 13 student who is taking A level Law, Psychology and Sociology and figured me saying the content out loud to you, as well as listening back to it will help me learn and you can learn by listening to it. I will be reading from textbooks mostly but also from sheets my teachers have given me. If i dont personally help you there are more podcasts such as seneca, but the majority is a bot speaking which i personally don’t find engaging
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