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  • 1
    Language: German
    Pages: hs. m. eigenh. U., 1 K.
    Additional Information: Nachlass Adolf Spamer - 2. Korrespondenz
    Abstract: betr. satirische Todesanzeigen und Kriegssammlung
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Overview Cloud computing has revolutionized the IT industry over the past decade. Now that the dust is settling, IT professionals are beginning to realize that the roles, responsibilities, and practices that previously made sense need to be re-examined. Developing Infrastructure as Code with Terraform LiveLessons lays out the road ahead and teaches cutting-edge tools and practices to quickly bring existing skills up to date or to jump-start a novice career. Infrastructure as Code (IaC) dissolves the boundaries between Dev and Ops to the point where infrastructure engineering is now a software development discipline. That's where this LiveLessons course comes in. Description Modern software development in the cloud has spurred myriad advances in efficiency for developers. Now, infrastructure engineers can leverage many of the same tools and practices to deploy reliable infrastructure. This course shows how to successfully integrate Infrastructure as Code (IaC) into your test and deployment pipelines. This LiveLessons course introduces the philosophy behind IaC and covers how to implement IaC in your own environment using Terraform. Robert Jordan illustrates the critical tools and practices to successfully implement IaC in a collaborative production environment. Developers and Ops clientele will learn how to integrate IaC into test and deployment pipelines, how to enforce code review for infrastructure changes, and how to manage infrastructure change. The video combines PowerPoint slides, interactive web demonstrations, and code illustration. About the Instructor Robert Jordan has been designing, implementing, and deploying production applications for some of the world's largest media and scientific customers for more than 20 years. Throughout that time, he has successfully led projects on all major cloud platforms and is currently certified on both AWS and GCP platforms. He is also a co-founder of Pragmatic AI Labs. Skill Level Beginner to Intermediate What You Will Learn Learn how to Build and test cloud infrastructure Create reproducible, immutable infrastructure with code Master industry-leading software Terraform Implement collaborative IaC teams Learn to perform real-world deployment scenarios, including Collaborative IaC development Deployment stages (e.g., dev/stage/prod) Testing and debugging Terraform deployment Who Should Take This Course Infrastructure Engineers System Architects Software Engineers En...
    Note: Online resource; Title from title screen (viewed January 14, 2020)
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  • 3
    Language: English
    Pages: 336 Seiten , Karten
    DDC: 320.966
    Note: Mit Bibliogr
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 7 Hours of Video Instruction Data Engineering with Python and AWS Lambda LiveLessons shows users how to build complete and powerful data engineering pipelines in the same language that Data Scientists use to build Machine Learning models. By embracing serverless data engineering in Python, you can build highly scalable distributed systems on the back of the AWS backplane. Users learn to think in the new paradigm of serverless, which means to embrace events and event-driven programs that replace expensive and complicated servers. Description Some of the many benefits of programming with AWS Lambda in Python include no servers to manage, continuous scaling, and subsecond metering. Several use cases include data processing, stream processing, IoT backends, mobile, and web applications. Learn to take advantage of a new paradigm in software architecture that will make your code easier to write, maintain, and deploy. AWS Lambda functions are the building blocks for creating sophisticated applications and services on AWS. In this LiveLesson, you learn to use Python to develop Lambda functions that communicate with key AWS services: API Gateway, SQS, and CloudWatch functions. You also learn how a new cloud-based development environment, Cloud9, can streamline writing, debugging, and deploying AWS Lambda functions. About the Instructors Noah Gift is a lecturer and consultant at both the UC Davis Graduate School of Management MSBA program and the Graduate Data Science program, MSDS, at Northwestern. He is teaching and designing graduate Machine Learning, AI, and Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty, including leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect and AWS Academy Accredited Instructor, Google Certified Professional Cloud Architect, and Microsoft MTA on Python. Noah has published close to 100 technical publications, including two books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA from UC Davis, an M.S. in Computer Information Systems from Cal State Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis Obispo. Currently, he is consulting startups and other companies on Machine Learning, Cloud Architecture, and CTO level consulting as the founder of Pragmatic AI Labs. His most recent ...
    Note: Online resource; Title from title screen (viewed August 29, 2019)
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 11.5+ Hours of Video Instruction AWS leads the world in cloud computing and big data. This course offers the complete package to help practitioners master the core skills and competencies needed to build successful, high-value big data applications, with a clear path toward passing the certification exam AWS Certified Big Data - Specialty. This course provides a solid foundation in all areas required to pass the AWS Certified Big Data Specialty Exam—including Collection, Storage, Processing, Analysis, Visualization, and Data Security. In addition, multiple quizzes and a practice exam prepare the student for the formal Certification Exam administered by AWS. Download Project Code from GitHub Download Code From GitHub Description This course provides case study–based training, designed completely around Jupyter notebook–based learning using only AWS big data technologies. Every exercise shown in this video can be run interactively by the students watching. The material exclusively focuses on AWS, with the goal of building enough foundation that the learner can achieve certification. Most companies struggle with widely varied, high-volume, and fast-moving data. After years of hype around big data, tools and infrastructure have improved to the point where companies are way beyond pilot projects and proofs-of-concept. Big data, where parallel processing is needed just to do the work, is the new normal. AWS leads the world in cloud computing and big data. This course offers a clear path toward certification by AWS on Big Data solutions, which is needed in a competitive job market. This course fills a known gap in this rapidly growing space. Skill Level Intermediate level developers What You Will Learn Students will: Learn how to perform collection tasks on AWS Learn how to use the appropriate storage solution for Big Data on AWS Learn how to perform processing tasks on the AWS platform Learn how to couple Visualization, Analysis, and Data Security to reason about Big Data on AWS Learn how to think about the AWS Big Data Certification exam to optimize for the best outcome. Who Should Take This Course You are a DevOps Engineer who wants to understand how to operationalize Big Data workloads. You are a Software Engineer who wants to master Big Data terminology and practices on AWS. You are a Machine Learning Engineer who wants to solidify their knowledge of AWS Big Data practices. You are a Product Manager who needs to understand the AWS Big Data lifec...
    Note: Online resource; Title from title screen (viewed June 18, 2019)
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  • 6
    Online Resource
    Online Resource
    London : Palgrave Macmillan UK
    ISBN: 9781349624775
    Language: English
    Pages: 1 Online-Ressource (XXI, 329 p)
    Edition: Springer eBook Collection. Humanities, Social Sciences and Law
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Science ; Social sciences. ; Humanities.
    Abstract: This book offers a biography of the most glamorous and powerful NATO Supreme Commander of the Cold War, General Lauris Norstad, as both a "nuclear" general and an "international" general. His primary goal was to keep the Alliance together as he accommodated British and French nuclear ambitions while forestalling the same in West Germany. He also was at the center of the political/military maneuverings over Berlin and the Soviet attempt to blackmail the West into recognizing East Germany, all of which culminated in the building of the infamous "Wall
    URL: Volltext  (lizenzpflichtig)
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  • 7
    ISBN: 9781349093922
    Language: English
    Pages: 1 Online-Ressource (XX, 373 p)
    Edition: Springer eBook Collection. Humanities, Social Sciences and Law
    Series Statement: St Antony's
    Parallel Title: Printed edition
    Keywords: Political science ; History, Modern ; Great Britain History ; America History ; Politics and war
    Abstract: A collection of essays on British and American maritime relationships in the 20th century together with details on the British organization of warfare, Anglo-American maritime theory, their rivalries and coalitions and their plans for dealing with a future war in the nuclear age.
    URL: Volltext  (lizenzpflichtig)
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