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Amazon Redshift Cookbook
Discover how to build a cloud-based data warehouse at petabyte-scale that is burstable and built to scale for end-to-end analytical solutions Key FeaturesDiscover how to translate familiar data warehousing concepts into Redshift implementationUse impressive Redshift features to optimize development, productionizing, and operations processesFind out how to use advanced features such as concurrency scaling, Redshift Spectrum, and federated queriesBook Description Amazon Redshift is a fully managed, petabyte-scale AWS cloud data warehousing service. It enables you to build new data warehouse workloads on AWS and migrate on-premises traditional data warehousing platforms to Redshift. This book o...
Microalgae for Sustainable Products
Highlighting the potential of microalgae as a sustainable source of biochemicals this book covers the applications of synthetic biology to improve microalgae as a biotechnological resource.
Actionable Insights with Amazon QuickSight
Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool that integrates embedded analytics and ML-powered insights effortlessly Key FeaturesExplore Amazon QuickSight, manage data sources, and build and share dashboardsLearn best practices from an AWS certified big data solutions architect Manage and monitor dashboards using the QuickSight API and other AWS services such as Amazon CloudTrailBook Description Amazon Quicksight is an exciting new visualization that rivals PowerBI and Tableau, bringing several exciting features to the table – but sadly, there aren't many resources out there that can help you learn the ropes. This book seeks to remedy that wi...
High Pressure Materials Properties: Magnetic Properties of Oxides Under Pressure
The subject of this supplement to Landolt-Börnstein IV/22 Series is to present both the numerical and graphical data on the various magnetic properties of materials under pressure. Data for transition metal binary oxides MmOn [M: transition metals, O: oxygen, m, n: 1~15], MXO [M: transition metals, X: F, Cl, Br, O: oxygen] and MM’On [M: transition metals, M’: transition metals or non-transition metal elements, O: oxygen, n=2, 2.5, 3] ternary oxides are presented. As well known, the data-compiling principle in the Landolt-Bӧrrnstein series is to choose the best reliable values from many available experimental data. The present compilation is done according to this principle.
Handbook of Food and Feed from Microalgae
Handbook of Food and Feed From Microalgae: Production, Application, Regulation, and Sustainability is a comprehensive resource on all aspects of using microalgae in food and feed. This book covers applied processes, including the utilization of compounds found in microalgae, the development of food products with microalgae biomass in their composition, the use of microalgae in animal nutrition, and associated challenges and recent advances in this field. Written by global leading experts in microalgae, this book begins with the fundamentals of food and feed, including microalgal biodiversity, biogeography, and nutritional purposes. The book continues to describe compounds found within microa...
Nutrition and Obsessive-Compulsive Disorder
Key features – Covers emerging therapeutic and nutritional approaches for the treatment and management of OCD Reviews the role of various micro-nutrients in OCD Discusses the prenatal genetic diagnosis and application of computational modelling in OCD Includes the nutritional and dietary roles in neuropsychiatric disorders like depression and obsessive-compulsive disorder (OCD) Explores the application of nano-biotechnology in OCD
Learn Amazon SageMaker
Swiftly build and deploy machine learning models without managing infrastructure and boost productivity using the latest Amazon SageMaker capabilities such as Studio, Autopilot, Data Wrangler, Pipelines, and Feature Store Key FeaturesBuild, train, and deploy machine learning models quickly using Amazon SageMakerOptimize the accuracy, cost, and fairness of your modelsCreate and automate end-to-end machine learning workflows on Amazon Web Services (AWS)Book Description Amazon SageMaker enables you to quickly build, train, and deploy machine learning models at scale without managing any infrastructure. It helps you focus on the machine learning problem at hand and deploy high-quality models by ...
Technology Century
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