Tabla de Contenidos: “…Workflows and Parameters; The Workflows; Quality; Workflow Parameter Decision Points; Capture; Software; Ingestion; Edit/optimization; Archiving; Capture Formats; Raw Files; Jpeg, Jpg (Joint Photographic Experts Group); Tiff or Tif (Tagged Image File Format); Dng (Digital Negative); Workflow Software Options; Ingest (Ingestion); Ingestion Software; Browse; Parametric Image Edit (Pieware)…”

Tabla de Contenidos: “…Data Movement""; ""Data Ingestion Considerations""; ""Timeliness of Data Ingestion""…”

“…The book then takes you through the process of building data ingestion and training pipelines, and it provides recommendations and best practices for feeding data to models created using the new tf.keras API. …”

Tabla de Contenidos: “…Reproductive Behavior -- 11. Emotion -- 12. Ingestive Behavior -- 13. Learning and Memory -- 14. …”

Tabla de Contenidos: “…Table of Contents Introducing Azure Data Explorer Building Your Azure Data Explorer Environment Exploring the Azure Data Explorer UI Ingesting Data in Azure Data Explorer Introducing the Kusto Query Language Introducing Time Series Analysis Identifying Patterns, Anomalies, and Trends in Your Data Data Visualization with Azure Data Explorer and Power BI Monitoring and Troubleshooting Azure Data Explorer Azure Data Explorer Security Performance Tuning in Azure Data Explorer Cost Management in Azure Data Explorer…”

Tabla de Contenidos: “…Table of Contents Introducing Azure Basics Designing a Data Storage Structure Designing a Partition Strategy Designing the Serving Layer Implementing Physical Data Storage Structures Implementing Logical Data Structures Implementing the Serving Layer Ingesting and Transforming Data Designing and Developing a Batch Processing Solution Designing and Developing a Stream Processing Solution Managing Batches and Pipelines Designing Security for Data Policies and Standards Monitoring Data Storage and Data Processing Optimizing and Troubleshooting Data Storage and Data Processing Sample Questions with Solutions…”

Tabla de Contenidos: “…Account Usage Store Part III. Tools 7. Ingesting Data 8. Data Pipelines 9. Data Presentation 10. …”

Tabla de Contenidos: “…Chapter 1: Introduction to AI & the AI Ecosystem -- Chapter 2: AI Best Practise & DataOps -- Chapter 3: Data Ingestion for AI -- Chapter 4: Machine Learning on Cloud -- Chapter 5: Neural Networks and Deep Learning -- Chapter 6: The Employer’s Dream: AutoML, AutoAI and the rise of NoLo UIs -- Chapter 7: AI Full Stack: Application Development -- Chapter 8: AI Case Studies -- Chapter 9: Deploying an AI Solution (Productionizing & Containerization) -- Chapter 10: Natural Language Processing -- Postscript…”

“…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: “…Cover -- Title Page -- Copyright -- Dedication -- Foreword -- Contributors -- Table of Contents -- Preface -- Part 1: Snowpark Foundation and Setup -- Chapter 1: Discovering Snowpark -- Introducing Snowpark -- Leveraging Python for Snowpark -- Capabilities of Snowpark for Python -- Why Python for Snowpark -- Understanding Snowpark for different workloads -- Data science and ML -- Data engineering -- Data governance and security -- Data applications -- Realizing the value of using Snowpark -- Summary -- Chapter 2: Establishing a Foundation with Snowpark -- Technical requirements -- Configuring the Snowpark development environment -- Snowpark Python worksheet -- Snowpark development in a local environment -- Operating with Snowpark -- The Python Engine -- Client APIs -- UDFs -- Establishing a project structure for Snowpark -- Summary -- Part 2: Snowpark Data Workloads -- Chapter 3: Simplifying Data Processing Using Snowpark -- Technical requirements -- Data ingestion -- Important note on datasets -- Ingesting a CSV file into Snowflake -- Ingesting JSON into Snowflake -- Ingesting Parquet files into Snowflake -- Ingesting images into Snowpark -- Data exploration and transformation -- Data exploration -- Data transformations -- Data grouping and analysis -- Data grouping -- Data analysis -- Summary -- Chapter 4: Building Data Engineering Pipelines with Snowpark -- Technical requirements -- Developing resilient data pipelines with Snowpark -- Traditional versus modern data pipelines -- Data engineering with Snowpark -- Implementing programmatic ELT with Snowpark -- Deploying efficient DataOps in Snowpark -- Developing a data engineering pipeline -- Overview of tasks in Snowflake -- Compute models for tasks -- Task graphs -- Managing tasks and task graphs with Python -- Implementing logging and tracing in Snowpark -- Event tables…”

Tabla de Contenidos: “…Creating a Data Explorer pool using the Azure CLI -- Summary -- Chapter 3: Exploring Azure Synapse Studio -- Technical requirements -- Exploring the user interface of Azure Synapse Studio -- Running your first query -- Creating a database -- Loading the data -- Verifying whether your data has loaded successfully -- Working with data in Azure Synapse notebooks -- Saving your work and configuring source control -- Managing and monitoring Data Explorer pools -- Scaling Data Explorer pools -- Pausing and resuming pools -- Monitoring Data Explorer pools -- Summary -- Chapter 4: Real-World Usage Scenarios -- Technical requirements -- Building a multi-purpose end-to-end analytics environment -- Sources -- Ingest -- Store -- Process -- Enrich -- Serve -- User -- Summary -- Managing IoT data -- Processing and analyzing geospatial data -- Enabling real-time analytics with big data -- Performing time series analytics -- Summary -- Part 2: Working with Data -- Chapter 5: Ingesting Data into Data Explorer Pools -- Technical requirements -- Understanding the data loading process -- Defining a retention policy -- Choosing a data load strategy -- Streaming ingestion -- Batching ingestion -- Performing data ingestion -- Using KQL control commands -- Building an Azure Synapse pipeline -- Implementing continuous ingestion -- Using other data ingestion mechanisms -- Summary -- Chapter 6: Data Analysis and Exploration with KQL and Python -- Technical requirements -- Analyzing data with KQL -- Selecting data -- Working with calculated columns -- Plotting charts -- Obtaining percentiles -- Creating a time series -- Detecting outliers -- Using linear regression -- Exploring Data Explorer pool data with Python -- Creating an Apache Spark pool -- Working with Azure Synapse notebooks -- Reading data from Data Explorer pools -- Plotting charts…”

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…”

“…Cada año perecen miles de tortugas en el mar a causa de la pesca accidental y la ingestión de plásticos. Un proyecto de recuperación para concienciar a los pescadores con el fin de que colaboren en el salvamento de estos reptiles avisando a los técnicos de fauna marina, encargados de curar a las tortugas…”

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

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…”

“…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. …”