“…Les situations auxquelles de telles études s'appliquent comprennent l'application d'un pesticide à des produits agricoles bruts (PAB) et leur ingestion par le bétail, les pesticides directement appliqués sur le bétail, et les pesticides employés dans les locaux d’élevage. …”

Tabla de Contenidos: “…Chapter 1: Next-Generation Big Data -- Chapter 2: Introduction to Kudu -- Chapter 3: Introduction to Impala -- Chapter 4: High Performance Data Analysis with Impala and Kudu -- Chapter 5: Introduction to Spark -- Chapter 6: High-Performance Data Processing with Spark and Kudu -- Chapter 7: Batch and Real-Time Data Ingestion and Processing -- Chapter 8: Big Data Warehousing -- Chapter 9: Big Data Visualization and Data Wrangling -- Chapter 10: Distributed In-Memory Big Data Computing -- Chapter 11: Big Data Governance and Management -- Chapter 12: Big Data in the Cloud -- Chapter 13: Big Data Case Studies…”

Tabla de Contenidos: “…Chapter 1: Setup AWS IoT Development Environment -- Chapter 2: MQTT, IoT Policies, JITP and JITR -- Chapter 3: Connecting and Publishing to AWS IoT -- Chapter 4: Digital Twin with AWS IoT Device Shadow and Basic Ingest Routing -- Chapter 5: Remote Actions using AWS IoT -- Chapter 6: Edge Development Using AWS IoT Greengrass -- Chapter 7: Industrial IoT with AWS IoT -- Chapter 8: Machine Learning (ML) at Edge with AWS IoT -- Chapter 9: Business Intelligence and Real-Time Insights by using Timestream Data -- Chapter 10: Cybersecurity with AWS…”

Tabla de Contenidos: “…Table of Contents Understanding the End-to-End Machine Learning Process Choosing the Right Machine Learning Service in Azure Preparing the Azure Machine Learning Workspace Ingesting Data and Managing Datasets Performing Data Analysis and Visualization Feature Engineering and Labeling Advanced Feature Extraction with NLP Azure Machine Learning Pipelines Building ML Models Using Azure Machine Learning Training Deep Neural Networks on Azure Hyperparameter Tuning and Automated Machine Learning Distributed Machine Learning on Azure Building a Recommendation Engine in Azure Model Deployment, Endpoints, and Operations Model Interoperability, Hardware Optimization, and Integrations Bringing Models into Production with MLOps Preparing for a Successful ML Journey…”

Tabla de Contenidos: “…-- Describing a data solution -- Transactional databases -- Analytical databases -- Defining the data type and proper storage -- Characteristics of relational and non-relational databases -- A transactional workload -- An analytical workload -- Understanding data ingestion -- Understanding batch load…”

Tabla de Contenidos: “…Introduction to TensorFlow extended -- 3. Data ingestion -- 4. Data validation -- 5. Data preprocessing -- 6. …”

“…Authors Ted Dunning and Ellen Friedman provide a detailed examination of open source tools such as OpenTSDB and new modifications that greatly speed up data ingestion…”

Tabla de Contenidos: “…Using the logging features of LlamaIndex to understand the logic and debug our applications -- Customizing the LLM used by LlamaIndex -- Easy as 1-2-3 -- The temperature parameter -- Understanding how Settings can be used for customization -- Starting our PITS project - hands-on exercise -- Let's have a look at the source code -- Summary -- Chapter 4: Ingesting Data into Our RAG Workflow -- Technical requirements -- Ingesting data via LlamaHub -- An overview of LlamaHub -- Using the LlamaHub data loaders to ingest content -- Ingesting data from a web page -- Ingesting data from a database -- Bulk-ingesting data from sources with multiple file formats -- Parsing the documents into nodes -- Understanding the simple text splitters -- Using more advanced node parsers -- Using relational parsers -- Confused about node parsers and text splitters? …”

Tabla de Contenidos: “…Azure IoT Hub -- 4. Ingesting Data with Azure IoT Hub -- 5. Azure Stream Analytics -- 6. …”

“…The ingestion of food containing pathogenic microorganisms (i.e. bacteria and their toxins, fungi, viruses) and parasites can cause food-borne diseases in humans. …”

“…Heavy metal sources encompass sewage, pesticides, fertilizers, environmental contamination, occupational exposure/contact through inhalation, ingestion, and skin. Before the advent of technology/the industrial revolution, communicable diseases ravaged the human race but this seems to have given way to non-communicable diseases such as cancers, renal failure, hormonal distortion enzymes, inhibition of fetal growth, and DNA damage causing negative health issues due to heavy metals. …”

Tabla de Contenidos: “…; Supported formats for ingest and logging…”

Tabla de Contenidos:

Tabla de Contenidos: “…Origen del aumento de la fuerza con la ingestión de creatina; 3.3. Velocidad…”

Tabla de Contenidos: “…DOSIMETRY AND ITS APPLICATION -- DOSIMETRY APPROACHES -- External Dose -- Internal Dose -- Intake by Inhalation and Ingestion -- Intake through the skin -- APPRAISAL OF CURRENT DOE ASSESSMENTS -- External Dose -- Intake and Internal Dose -- Inhalation -- Ingestion -- Intake through skin -- 6. …”

“…The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning. …”

“…This includes everything from understanding datasets and ingestion methods to utilizing Spark for real-time data processing, exploring SQL and KQL differences, and experiencing data flow architecture and Power BI visualizations in the Data Factory. …”

“…The course covers the stages of the data engineering lifecycle (generation, ingestion, storage, transformation, serving) and the major undercurrents that cut across all stages (security, data management, orchestration, etc.) …”

Tabla de Contenidos: “…-- Differences between Data Lake and Data Warehouse -- Approaches to building a Data Lake -- Lambda Architecture-driven Data Lake -- Data ingestion layer - ingest for processing and storage -- Batch layer - batch processing of ingested data -- Speed layer - near real time data processing -- Data storage layer - store all data -- Serving layer - data delivery and exports -- Data acquisition layer - get data from source systems -- Messaging Layer - guaranteed data delivery -- Exploring the Data Ingestion Layer -- Exploring the Lambda layer -- Batch layer -- Speed layer -- Serving layer -- Data push -- Data pull -- Data storage layer -- Batch process layer -- Speed layer -- Serving layer -- Relational data stores…”

Tabla de Contenidos: “…Using the Media Tool to Delete/Find Unused MediaConsolidating; Decomposing; Ingest from File-Based Workflow-AMA; RED; ARRI Alexa; XDCAM; P2; Canon 5DMII, 5DMIII, 7D, T21, and Other Canon DSLRs; QuickTime (.MOV); Ingest from File-Based Workflow-Non-AMA; Moving from AMA to Transcoded Media; Dynamic Media Folders; High-Resolution Media; Color Management; Installing an External LUT; Applying an External LUT; Using Color Decision Lists (CDLs); AMA Source Settings; Audio from Double-System Sound; Prepping Feature Films; ScriptSync; Script Supervisors and Lining a Script…”