Tabla de Contenidos: “…Description Advantages of Hadoop; Uses of Hadoop; Hadoop ecosystem; Apache Hadoop; Hadoop distributions; Pillars of Hadoop-HDFS, MapReduce, and YARN; Data access components - Hive and Pig; Data storage component - HBase; Data ingestion in Hadoop- Sqoop and Flume; Streaming and real-time analysis - Storm and Spark; Summary; Chapter 2: Hadoop Ecosystem; Traditional systems; Database trend; Hadoop use cases; Hadoop basic data flow; Hadoop integration; The Hadoop ecosystem; Distributed filesystem; HDFS; Distributed programming; NoSQL databases; Apache HBase; Data ingestion; Service Programming…”

Tabla de Contenidos: “…-- Understanding the data -- The end-to-end pipeline -- Ingesting the data -- Transforming the data…”

Tabla de Contenidos: “…Creating a shortcut (for Tables): Gold zone -- Creating business aggregates for the Gold zone -- Analyze -- Power BI -- SQL endpoint -- Orchestrate data ingestion and transformation flow and schedule notebooks and pipelines -- Data meshes in Fabric - a primer -- Summary -- Chapter 4: Building an End-to-End Analytics System - Data Warehouse -- Understanding the end-to-end scenario -- Data and transformation flow -- Creating a data warehouse -- Creating tables in a data warehouse -- Loading data -- Loading data using the copy activity in Data Factory -- Loading data using T-SQL -- Data transformation using T-SQL -- Orchestrating ETL operations with Data Factory pipelines -- Analyzing data with Power BI -- Summary -- Chapter 5: Building an End-to-End Analytics System - Real-Time Analytics -- Understanding the end-to-end scenario -- Creating a Kusto Query Language (KQL) database -- Capturing and delivering data using eventstreams -- Analyzing data with KQL -- Reporting with Power BI -- Creating a new Power BI report -- Adding visualizations to the Power BI report -- Configure page refresh on the Power BI report -- Summary -- Chapter 6: Building an End-to-End Analytics System - Data Science -- Technical requirements -- End-to-end data science scenario -- Data and storage - creating a lakehouse and ingesting data using Apache Spark -- Importing notebooks -- Problem formulation/ideation (business understanding) -- Semantic Link -- Data acquisition, discovery, and preprocessing -- Data acquisition -- Data discovery -- Data preprocessing -- Data Wrangler -- Experimenting and modeling -- Training - version 1 -- Training - version 2 -- AutoML with FLAML -- Enriching and operationalizing -- Analyzing and getting insights -- Summary -- Part 3: Administration and Monitoring -- Chapter 7: Monitoring Overview and Monitoring Different Workloads…”

“…Para la producción de los glóbulos rojos, y de la hemoglobina que contienen, se requiere la ingestión y el aprovechamiento adecuados de múltiples nutrientes esenciales. …”

Tabla de Contenidos: “…Intro -- Table des matières -- Le lapin, de la biologie à l'élevage -- Préface -- Avant-propos -- Chapitre 1 - Anatomie, taxonomie, origine, évolution et domestication -- Anatomie -- Taxonomie -- Origine, évolution et domestication -- Pour en savoir plus -- Chapitre 2 - Physiologie -- Physiologie générale -- Physiologie digestive -- Physiologie de la reproduction -- Pour en savoir plus -- Chapitre 3 - Reproduction -- Conduite de la reproduction -- Insémination artificielle -- Biotechnologies de la reproduction et cuniculture -- Pour en savoir plus -- Chapitre 4 - Habitat et comportement -- Habitat naturel et hébergement en élevage -- Socialité -- Comportement maternel et relations mère-jeunes -- Comportement du jeune -- Pour en savoir plus -- Chapitre 5 - Nutrition et alimentation -- Comportement alimentaire et ingestion de nutriments -- Nutriments et spécificités pour le lapin -- Besoins en minéraux et en vitamines -- Qualité des aliments -- Stratégies d'alimentation : le bon aliment au bon moment -- Alimentation du lapin au pâturage, ou avec des fourrages et divers produits végétaux -- Nourrir le lapin adulte non producteur de viande -- Pour en savoir plus -- Chapitre 6 - Santé et prévention des maladies -- Maladies de l'appareil respiratoire chez le lapin -- Maladies digestives du lapin -- Maladies abcédatives du lapin -- RHD : maladie hémorragique virale, rappels et nouveautés -- Maladies parasitaires -- Mesures préventives non-thérapeutiques -- Pour en savoir plus -- Chapitre 7 - Génétique et sélection -- Amélioration génétique du lapin -- Schémas de sélection et lignées commerciales actuels -- Développement des outils moléculaires et de leurs applications -- Pour en savoir plus -- Glossaire -- Abréviations et acronymes -- Liste des auteurs -- Index…”

“…In addition to comprehensive application coverage, the authors also provide useful guidance on the important steps of data ingestion, data munging, and visualization. Once the groundwork is in place, the authors focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP). …”

“…Everything you need to know is presented, including analyzing requests, modularization, database ingestion, building JSON responses, and scaling your microservices. …”

Tabla de Contenidos: “…Preface to "Feature Papers of Drones-Volume I" vii -- Propeller Position Effects over the Pressure and Friction Coefficients over the Wing of an UAV with Distributed Electric Propulsion: A Proper Orthogonal Decomposition Analysis 1 -- Optimum Sizing of Photovoltaic-Battery Power Supply for Drone-Based Cellular Networks 31 -- Computational Study of the Propeller Position Effects in Wing-Mounted, Distributed Electric Propulsion with Boundary Layer Ingestion in a 25 kg Remotely Piloted Aircraft 49 -- Biomimetic Drones Inspired by Dragonflies Will Require a Systems Based Approach and -- Insights from Biology 67 -- Suitability of the Reforming-Controlled Compression Ignition Concept for UAV Applications 91 -- Modeling and Investigations on Surface Colors of Wings on the Performance of Albatross-Inspired Mars Drones and Thermoelectric Generation Capabilities 109 -- Unmanned Autogyro for Mars Exploration: A Preliminary Study 131 -- Safety Enhancement of UAVs from the Signal Processing's Perspectives: A Bird's Eye View 149 -- Drones in B5G/6G Networks as Flying Base Stations 165 -- On the Performance of a UAV-Aided Wireless Network Based on NB-IoT 183 -- Communication Aware UAV Swarm Surveillance Based on Hierarchical Architecture 203 -- StratoTrans: Unmanned Aerial System (UAS) 4G Communication Framework Applied on the -- Monitoring of Road Traffic and Linear Infrastructure 229 -- SuSy-EnGaD: Surveillance System Enhanced by Games of Drones 243 -- Designing a User-Centered Interaction Interface for Human-Swarm Teaming 263 -- A Single-Copter UWB-Ranging-Based Localization System Extendable to a Swarm of Drones 281 -- Inter-UAV Routing Scheme Testbeds 301 -- Geo-Referenced Mapping through an Anti-Collision Radar Aboard an Unmanned Aerial System 319 -- Long Distance Ground Target Tracking with Aerial Image-to-Position Conversion and -- Improved Track Association 337 -- Acceleration-Aware Path Planning with Waypoints 351 -- A Hybrid Approach for Autonomous Collision-Free UAV Navigation in 3D Partially Unknown Dynamic Environments 369 -- A Multilevel Architecture for Autonomous UAVs 383 -- Efficient Reactive Obstacle Avoidance Using Spirals for Escape 399 -- Simulation and Characterization of Wind Impacts on sUAS Flight Performance for Crash Scene Reconstruction 425.…”

“…You'll start by reviewing PySpark fundamentals, such as Spark’s core architecture, and see how to use PySpark for big data processing like data ingestion, cleaning, and transformations techniques. …”

Tabla de Contenidos: “…Queuing mappings in Capacity Scheduler -- YARN and Mapred commands -- YARN label-based scheduling -- YARN SLS -- Chapter 6: Backup and Recovery -- Introduction -- Initiating Namenode saveNamespace -- Using HDFS Image Viewer -- Fetching parameters which are in-effect -- Configuring HDFS and YARN logs -- Backing up and recovering Namenode -- Configuring Secondary Namenode -- Promoting Secondary Namenode to Primary -- Namenode recovery -- Namenode roll edits - online mode -- Namenode roll edits - offline mode -- Datanode recovery - disk full -- Configuring NFS gateway to serve HDFS -- Recovering deleted files -- Chapter 7: Data Ingestion and Workflow -- Introduction -- Hive server modes and setup -- Using MySQL for Hive metastore -- Operating Hive with ZooKeeper -- Loading data into Hive -- Partitioning and Bucketing in Hive -- Hive metastore database -- Designing Hive with credential store -- Configuring Flume -- Configure Oozie and workflows -- Chapter 8: Performance Tuning -- Tuning the operating system -- Tuning the disk -- Tuning the network -- Tuning HDFS -- Tuning Namenode -- Tuning Datanode -- Configuring YARN for performance -- Configuring MapReduce for performance -- Hive performance tuning -- Benchmarking Hadoop cluster -- Chapter 9: HBase Administration -- Introduction -- Setting up single node HBase cluster -- Setting up multi-node HBase cluster -- Inserting data into HBase -- Integration with Hive -- HBase administration commands -- HBase backup and restore -- Tuning HBase -- HBase upgrade -- Migrating data from MySQL to HBase using Sqoop -- Chapter 10: Cluster Planning -- Introduction -- Disk space calculations -- Nodes needed in the cluster -- Memory requirements -- Sizing the cluster as per SLA -- Network design -- Estimating the cost of the Hadoop cluster -- Hardware and software options…”

Tabla de Contenidos: “…-- Introduction to AIOps -- Data Ingestion Layer -- Data Processing Layer -- Data Representation Layer -- AIOps Benefits -- Summary -- Chapter 2: AIOps Architecture and Methodology -- AIOps Architecture -- The Core Platform -- Big Data -- Volume -- Velocity -- Variety -- Veracity -- Value -- Machine Learning -- The Three Key Areas in AIOps -- Observe -- Data Ingestion -- Integration -- Event Suppression -- Event Deduplication -- Rule-Based Correlation -- Machine Learning-Based Correlation -- Anomaly Detection -- Event Correlation -- Root-Cause Analysis -- Predictive Analysis -- Visualization -- Collaboration -- Feedback -- Engage -- Incident Creation -- Task Assignment -- Task Analytics -- Agent Analytics -- Change Analytics -- Process Analytics -- Visualization -- Collaboration -- Feedback -- Act -- Automation Recommendation -- Automation Execution -- Incident Resolution -- SR Fulfilment -- Change Orchestration -- Automation Analytics -- Visualization -- Collaboration -- Feedback -- Application Discovery and Insights -- Making Connections: The Value of Data Correlation -- Summary -- Chapter 3: AIOps Challenges -- Organizational Change Management -- Monitoring Coverage and Data Availability -- Rigid Processes -- Lack of Understanding of Machine Learning and AIOps -- Expectations Mismatch -- Fragmented Functions and the CMDB -- Challenges in Machine Learning -- Data Drift -- Predictive Analytics Challenges -- Cost Savings Expectations -- Lack of Domain Inputs -- Summary -- Chapter 4: AIOps Supporting SRE and DevOps -- Overview of SRE and DevOps -- SRE Principles and AIOps -- Principle 1: Embracing Risk -- Principle 2: Service Level Objectives -- Principle 3: Eliminating Toil…”

“…The magnitude of a given exposure allows the derivation of the associated risk and the potential for the establishment of a disease. Although food ingestion is considered a major route of human exposure to mycotoxins, other contexts may also result in exposure, such as specific occupational environments where exposure to organic dust also occurs due to the handling of organic materials. …”

“…You'll gain familiarity with the critical process of selecting machine learning algorithms, data ingestion, and data processing to solve business problems. …”

Tabla de Contenidos: “…Simple Evaluation Model for Long Term Debris Transport Velocity in the Torus of a Mark I Containment -- Analytical Work -- Assessment on the Risk of Sump Plugging Issue on French PWR -- The Sump Screen Clogging Issue in Belgium from the Standpoint of the Authorized Inspection Organisation AIO -- Results of the Latest Large-scale Realistic Experiments Investigating the Post-LOCA Behaviour of Mineral Wool Debris in PWRs -- Numerical Investigations for Insulation Debris Transport Phenomena in Water Flow -- Conclusions Drawn from the Investigation of LOCA-Induced Insulation Debris Generation and its Impact on Emergency Core Cooling ECC at German NPPs – Approach Taken by/Perspective of the German TSO (TÜV) -- Uncertainties in the ECC Strainer Knowledge Base – The Canadian Regulatory Perspective -- Reassessment of Debris-Ingestion Effects on Emergency Core Cooling System Pump Performance -- Break Characteristic Modelling for Debris Generation Following a Design Basis Loss of Coolant Accident -- NRC Approach to PWR Sump Performance Resolution -- Overview of US Research Related to PWR Sump Clogging -- Separate Effects Tests to Quantify Debris Transport to the Sump Screen -- Emergency Core Cooling Strainers – The CANDU Experience -- Results of Tests with Large Sacrificial and Self-cleaning Strainers and the Installation at Ringhals 2 -- Debris Accumulation and Head-loss Data for Evaluating the Performance of Vertical Pressurised Water Reactor Recirculation Sump Screens -- Characterisation of Latent Debris from Pressurised Water Reactor Containment Buildings -- Experimental Investigations for Fragmentation and Insulation Particle Transport Phenomena in Water Flow -- Effects of Debris Generated by Chemical Reactions on Head Loss Through Emergency Core Cooling System Strainers -- LOCA Induced Debris Characteristics for Use in ECCS Sump Screen Debris Bed Pressure Drop Calculations -- Experimental Work -- Sump Plugging Risk -- Risk of Sump Plugging – Experimental Program -- Containment Sump Channel Flow Modelling -- Industry Solutions -- Safety Analysis Performed in Switzerland for the Resolution of the Strainer Clogging Issue -- Actions Taken in the Belgian Nuclear Power Plants for the Resolution of the GSI-191 -- Safety Assessment and Regulatory Requirements -- Overview of Site Specific Blockage Solutions at US PWRs -- Original Equipment Manufacturers' OEM Protective Coating Design Basis Accident Testing…”

“…It covers developing a robust data processing and ingestion pipeline on the Common Crawl corpus, containing petabytes of data publicly available and a web crawl data set available on AWS's registry of open data. …”

“…Work with big data applications by using Spring Cloud Data Flow as a unified, distributed, and extensible system for data ingestion and integration, real-time analytics and data processing pipelines, batch processing, and data export. …”

“…By the end of this dbt book, you'll be able to build an end-to-end pragmatic data platform by ingesting data exported from your source systems, coding the needed transformations, including master data and the desired business rules, and building well-formed dimensional models or wide tables that'll enable you to build reports with the BI tool of your choice. …”

Tabla de Contenidos: “…-- Summary -- Chapter 5: Spark for Geographic Analysis -- GDELT and oil -- GDELT events -- GDELT GKG -- Formulating a plan of action -- GeoMesa -- Installing -- GDELT Ingest -- GeoMesa Ingest -- MapReduce to Spark -- Geohash -- GeoServer -- Map layers -- CQL -- Gauging oil prices -- Using the GeoMesa query API -- Data preparation -- Machine learning -- Naive Bayes -- Results -- Analysis -- Summary -- Chapter 6: Scraping Link-Based External Data -- Building a web scale news scanner -- Accessing the web content -- The Goose library…”

“…Réaction épidermique, il renvoie en premier lieu à un réflexe physiologique qui survient à la suite de la perception ou de l’ingestion d’un élément organique corrompu. Il peut par ailleurs relever d’une condamnation morale de conduites déviantes ou de mœurs viciées. …”

Tabla de Contenidos: “…Relación entre estrés crónico, obesidad y trastorno de ingestión compulsiva; Capítulo 13. Estrés y cáncer; Capítulo 14. …”