“…Taking into account these changes this book has now been brought completely up to date to include: * timecode and DVD, LTC & VITC in HANC packets in the serial digital TV interfaces * timecode in IEEE1395 (Firewire) * timecode and digital video cassettes * new recording formats of DVD, DV mini cassettes and D6 are included * 4:3 scanning for wide-screen films - standards updated * new material to cover new working practices * new appendices to cover the global LF time data transmissions and time data embedded in BBC transmissions Advice is also given on avoiding and remedying faults and errors…”

“…The objective of this paper is to introduce the major innovative Power L922 offering and its relevant functions: The new IBM POWER9TM processor, available at frequencies of 2.7 - 3.8 GHz, 2.9 - 3.8 GHz, and 3.4 - 3.9 GHz. Significantly strengthened cores and larger caches. …”

“…As in the previous book on 4.3BSD (with Samuel Leffler), the authors first update the history and goals of the BSD system. …”

“…Spring Boot and Kptlin Table of Contents Introduction Lesson 1: Kotlin Everywhere Learning objectives 1.1 How I Learned to Stopped Worrying and Love Kotlin 1.2 A Tour of the Ecosystem Lesson 2: Kotlin, the Language Learning objectives 2.1 Syntax 2.2 Coroutines Lesson 3: Kotlin as a Better Java Learning objectives 3.1 Motivations 3.2 JDBC 3.3 Exposed ORM Lesson 4: Kotlin DSLs and Spring Learning objectives 4.1 Motivations 4.2 Reactive Web 4.3 Gateway 4.4 Functional Configuration 4.5 Spring Fu Summary…”

Accés Lliure

Accés Lliure

“…Professional Data Engineer Certification Course Section 1: Designing Data Processing Systems 1.1 Storage technology selection 1.2 Data pipeline design 1.3 Data processing solution design 1.4 Data warehousing & processing migration Section 2: Building & Operationalizing Data Processing Systems 2.1 Storage system implementation 2.2 Pipeline building & operationalization 2.3 Processing infrastructure implementation Section 3: Operationalizing ML Models 3.1 Pre-built ML models as a service 3.2 ML pipeline deployment 3.3 Training & serving infrastructure selection 3.4 ML model measurement, monitoring & troubleshooting Section 4: Ensuring Solution Quality 4.1 Security & compliance design 4.2 Scalability & efficiency assurance 4.3 Reliability & fidelity assurance 4.4 Flexibility & portability assurance Learning Objectives Learn to design, build, and operationalize data processing systems that meet business requirements, system requirements, and industry best practices. …”