45 Results for : ingestion

  • Thumbnail
    Coccidiosis in fish. Lifecycle of coccidiosis, development, pathogenesis and medications (eBook, PDF)
    Seminar paper from the year 2022 in the subject Agrarian Studies, , course: Aquaculture, language: English, abstract: The present review has summarized the status of fish coccidia and has provided an insight into the life cycle, taxonomy, transmission, pathogenesis, prevention, and treatment. Coccidiosis is a disease that is caused by protozoan parasites of the apicomplexan genus Eimeria and is transmitted via ingestion of infective oocysts. It affects many vertebrates and invertebrates causing mortality, poor performance of animals, and reduce productivity. This disease mostly affects the poultry sector, but its different species are also present in fish and cause economic loss. Coccidiosis in fish has been studied extensively, as it is regarded as chronic and its impact is easily overlooked. There are at least 18 genera under 3 families of order Eucoccidiorida that are responsible to cause some form of coccidiosis in different animals including mammals, avians as well as piscine. About 250 species of coccidiosis are known to occur in fish and among them, Eimeria and Goussia spp are the most prevalent ones. Taxonomic classification has been a difficult task and is determined on the basis of morphological features of oocysts. Coccidiosis generally has 3 stages in its lifecycle, with some variation according to species. About 30% of coccidia develops extraintestinal, and most of the fish coccidia are kept under an Eimeria genus. Transmission occurs via direct as well as by indirect method, but direct method id more common and simple. Coccidiosis can cause mild to serve damage and pathogenesis can differ with species. For prevention and control, different anticoccidial drugs are used. However, sanitation is a prime factor to reduce the risk of oocyst's introduction in animals.
    • Shop: buecher
    • Price: 15.99 EUR excl. shipping
  • Thumbnail
    Modern Data Engineering with Apache Spark
    Leverage Apache Spark within a modern data engineering ecosystem. This hands-on guide will teach you how to write fully functional applications, follow industry best practices, and learn the rationale behind these decisions. With Apache Spark as the foundation, you will follow a step-by-step journey beginning with the basics of data ingestion, processing, and transformation, and ending up with an entire local data platform running Apache Spark, Apache Zeppelin, Apache Kafka, Redis, MySQL, Minio (S3), and Apache Airflow.Apache Spark applications solve a wide range of data problems from traditional data loading and processing to rich SQL-based analysis as well as complex machine learning workloads and even near real-time processing of streaming data. Spark fits well as a central foundation for any data engineering workload. This book will teach you to write interactive Spark applications using Apache Zeppelin notebooks, write and compile reusable applications and modules, and fully test both batch and streaming. You will also learn to containerize your applications using Docker and run and deploy your Spark applications using a variety of tools such as Apache Airflow, Docker and Kubernetes.Reading this book will empower you to take advantage of Apache Spark to optimize your data pipelines and teach you to craft modular and testable Spark applications. You will create and deploy mission-critical streaming spark applications in a low-stress environment that paves the way for your own path to production.What You Will LearnSimplify data transformation with Spark Pipelines and Spark SQLBridge data engineering with machine learningArchitect modular data pipeline applications Build reusable application components and libraries Containerize your Spark applications for consistency and reliabilityUse Docker and Kubernetes to deploy your Spark applicationsSpeed up application experimentation using Apache Zeppelin and Docker Understand serializable structured data and data contracts Harness effective strategies for optimizing data in your data lakes Build end-to-end Spark structured streaming applications using Redis and Apache Kafka Embrace testing for your batch and streaming applications Deploy and monitor your Spark applications Who This Book Is ForProfessional software engineers who want to take their current skills and apply them to new and exciting opportunities within the data ecosystem, practicing data engineers who are looking for a guiding light while traversing the many challenges of moving from batch to streaming modes, data architects who wish to provide clear and concise direction for how best to harness and use Apache Spark within their organization, and those interested in the ins and outs of becoming a modern data engineer in today's fast-paced and data-hungry world
    • Shop: buecher
    • Price: 52.99 EUR excl. shipping
  • Thumbnail
    Modern Data Engineering with Apache Spark (eBook, PDF)
    Leverage Apache Spark within a modern data engineering ecosystem. This hands-on guide will teach you how to write fully functional applications, follow industry best practices, and learn the rationale behind these decisions. With Apache Spark as the foundation, you will follow a step-by-step journey beginning with the basics of data ingestion, processing, and transformation, and ending up with an entire local data platform running Apache Spark, Apache Zeppelin, Apache Kafka, Redis, MySQL, Minio (S3), and Apache Airflow. Apache Spark applications solve a wide range of data problems from traditional data loading and processing to rich SQL-based analysis as well as complex machine learning workloads and even near real-time processing of streaming data. Spark fits well as a central foundation for any data engineering workload. This book will teach you to write interactive Spark applications using Apache Zeppelin notebooks, write and compile reusable applications and modules, and fully test both batch and streaming. You will also learn to containerize your applications using Docker and run and deploy your Spark applications using a variety of tools such as Apache Airflow, Docker and Kubernetes.¿Reading this book will empower you to take advantage of Apache Spark to optimize your data pipelines and teach you to craft modular and testable Spark applications. You will create and deploy mission-critical streaming spark applications in a low-stress environment that paves the way for your own path to production. ¿ What You Will LearnSimplify data transformation with Spark Pipelines and Spark SQL Bridge data engineering with machine learningArchitect modular data pipeline applications Build reusable application components and libraries Containerize your Spark applications for consistency and reliabilityUse Docker and Kubernetes to deploy your Spark applications Speed up application experimentation using Apache Zeppelin and Docker Understand serializable structured data and data contracts Harness effective strategies for optimizing data in your data lakes Build end-to-end Spark structured streaming applications using Redis and Apache Kafka Embrace testing for your batch and streaming applications Deploy and monitor your Spark applications Who This Book Is For Professional software engineers who want to take their current skills and apply them to new and exciting opportunities within the data ecosystem, practicing data engineers who are looking for a guiding light while traversing the many challenges of moving from batch to streaming modes, data architects who wish to provide clear and concise direction for how best to harness and use Apache Spark within their organization, and those interested in the ins and outs of becoming a modern data engineer in today's fast-paced and data-hungry world
    • Shop: buecher
    • Price: 40.95 EUR excl. shipping
  • Thumbnail
    Getting Structured Data from the Internet
    Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats such as CSV, Excel, JSON, or load it into a SQL database of your choice. This book goes beyond the basics of web scraping and covers advanced topics such as natural language processing (NLP) and text analytics to extract names of people, places, email addresses, contact details, etc., from a page at production scale using distributed big data techniques on an Amazon Web Services (AWS)-based cloud infrastructure. It book 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.Getting Structured Data from the Internet also includes a step-by-step tutorial on deploying your own crawlers using a production web scraping framework (such as Scrapy) and dealing with real-world issues (such as breaking Captcha, proxy IP rotation, and more). Code used in the book is provided to help you understand the concepts in practice and write your own web crawler to power your business ideas.What You Will LearnUnderstand web scraping, its applications/uses, and how to avoid web scraping by hitting publicly available rest API endpoints to directly get dataDevelop a web scraper and crawler from scratch using lxml and BeautifulSoup library, and learn about scraping from JavaScript-enabled pages using SeleniumUse AWS-based cloud computing with EC2, S3, Athena, SQS, and SNS to analyze, extract, and store useful insights from crawled pagesUse SQL language on PostgreSQL running on Amazon Relational Database Service (RDS) and SQLite using SQLalchemyReview sci-kit learn, Gensim, and spaCy to perform NLP tasks on scraped web pages such as name entity recognition, topic clustering (Kmeans, Agglomerative Clustering), topic modeling (LDA, NMF, LSI), topic classification (naive Bayes, Gradient Boosting Classifier) and text similarity (cosine distance-based nearest neighbors)Handle web archival file formats and explore Common Crawl open data on AWSIllustrate practical applications for web crawl data by building a similar website tool and a technology profiler similar to builtwith.comWrite scripts to create a backlinks database on a web scale similar to Ahrefs.com, Moz.com, Majestic.com, etc., for search engine optimization (SEO), competitor research, and determining website domain authority and rankingUse web crawl data to build a news sentiment analysis system or alternative financial analysis covering stock market trading signalsWrite a production-ready crawler in Python using Scrapy framework and deal with practical workarounds for Captchas, IP rotation, and moreWho This Book Is ForPrimary audience: data analysts and scientists with little to no exposure to real-world data processing challenges, secondary: experienced software developers doing web-heavy data processing who need a primer, tertiary: business owners and startup founders who need to know more about implementation to better direct their technical team
    • Shop: buecher
    • Price: 35.99 EUR excl. shipping
  • Thumbnail
    Effect of bamboo shoot on functional and morphological status of Testis in Male albino rat
    Effect of bamboo shoot on functional and morphological status of Testis in Male albino rat - Toxicological Evaluation of Ingestion of Raw Bamboo (Bambusa arundinacea) Shoots on Male Reproductive System of Rat: ab 12.99 €
    • Shop: ebook.de
    • Price: 12.99 EUR excl. shipping

Similar searches: