Data Engineering on Google Cloud Platform en Español Specialization

Start Date: 08/25/2019

Course Type: Specialization Course

Course Link:

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About Course

Especialización acelerada en línea de cinco semanas de duración, donde los participantes reciben una introducción práctica en el diseño y compilación de sistemas de procesamiento de datos en Google Cloud Platform. Usando una combinación de presentaciones, demostraciones y labs prácticos, los participantes aprenderán a diseñar sistemas de procesamiento de datos, compilar canalizaciones de datos de extremo a extremo, analizar datos y llevar a efecto funciones de aprendizaje automático. Este curso le enseñará las siguientes habilidades: • Diseñar y crear sistemas de procesamiento de datos en Google Cloud Platform • Aprovechar los datos no estructurados mediante Spark y las API de AA en Cloud Dataproc • Procesar los datos por lotes y de transmisión mediante la implementación de canalizaciones de datos de ajuste de escala automático en Cloud Dataflow • Generar estadísticas empresariales a partir de conjuntos de datos muy grandes mediante Google BigQuery • Entrenar, evaluar y predecir por medio de los modelos de aprendizaje automático con Tensorflow y Cloud ML • Extraer estadísticas al instante a partir de los datos de transmisión Este curso está dirigido a desarrolladores experimentados responsables de la administración de transformaciones de macrodatos. >>> Al inscribirse en esta especialización acepta los Términos de Servicio de Qwiklabs según lo establecido en las Preguntas Frecuentes, disponibles en el apartado: <<<

Course Syllabus

Google Cloud Platform Big Data and Machine Learning Fundamentals en Español
Serverless Machine Learning con TensorFlow en GCP
Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform en Español
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español

Deep Learning Specialization on Coursera

Course Introduction

Ingeniería de datos en Google Cloud Platform. Desarrollo profesional en ingeniería de datos utilizando macrodatos y aprendizaje automático.

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Google Cloud Dataproc Google Cloud Dataproc (Cloud Dataproc) is a cloud-based managed Spark and Hadoop service offered on Google Cloud Platform. Cloud Dataproc utilizes many Google Cloud Platform technologies such as Google Compute Engine and Google Cloud Storage to offer fully managed clusters running popular data processing frameworks such as Apache Hadoop and Apache Spark.
Google Cloud Platform Google Cloud Platform is a cloud computing service by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. Cloud Platform provides developer products to build a range of programs from simple websites to complex applications.
Google Cloud Platform Google Cloud Platform is a part of a suite of enterprise services from Google Cloud and provides a set of modular cloud-based services with a host of development tools. For example, hosting and computing, cloud storage, data storage, translations APIs and prediction APIs.
Google Cloud Datastore Google Cloud Datastore (Cloud Datastore) is a highly scalable, fully managed NoSQL database service offered by Google on the Google Cloud Platform. Cloud Datastore is built upon Google's Bigtable and Megastore technology.
Cloud engineering Cloud engineering is a field of engineering that focuses on cloud services, such as "software as a service", "platform as a service", and "infrastructure as a service". It is a multidisciplinary method encompassing contributions from diverse areas such as "systems engineering", "software engineering", "web engineering", "performance engineering", "information engineering", "security engineering", platform engineering, service engineering, risk engineering, and quality engineering. The nature of commodity-like capabilities delivered by cloud services and the inherent challenges in this business model drive the need for cloud engineering as the core discipline.
Google Cloud Dataproc Cloud Dataproc includes many open source packages used for data processing, including items from the Spark and Hadoop ecosystem, and open source tools to connect these frameworks with other Google Cloud Platform products.
SAP Cloud Platform SAP Cloud Platform is a platform as a service developed by SAP SE for creating new applications or extending existing applications in a secure cloud computing environment managed by SAP. The SAP Cloud Platform integrates data and business processes.
Google Data Liberation Front The Google Data Liberation Front is an engineering team at Google whose "goal is to make it easier for users to move their data in and out of Google products." The team, which consults with other engineering teams within Google on how to "liberate" Google products, currently supports 27 products. The purpose of the Data Liberation Front is to ensure that data can be migrated from Google once an individual or company stops using their services.
Information capital Google - Google is working on development of BigQuery - first cloud-based big data processing platform.
SAP Cloud Platform On February 27, 2017 SAP HANA Cloud Platform was renamed SAP Cloud Platform at the Mobile World Congress.
SAP Cloud Platform Initially unveiled as SAP NetWeaver Cloud belonging to the SAP HANA Cloud portfolio on October 16, 2012 the cloud platform was reintroduced with the new name SAP HANA Cloud Platform on May 13, 2013 as the foundation for SAP cloud products, including the SAP BusinessObjects Cloud. Adoption of the SAP HANA Cloud Platform has increased steadily since the platform's launch in 2012, with SAP claiming over 4000 customers and 500 partners adopting the SAP HANA Cloud Platform.
Google Data Liberation Front On June 28, 2011, Google's Data Liberation Front engineering team released their first product, after 4 years in development, called Google Takeout, which allows a Google user to export data from supported services.
Cloud engineering The notion of cloud engineering in the context of cloud computing had been sparsely used in discussions, presentations and talks in various occasions in the middle of the 2000s. The term of cloud engineering was formally coined around 2007 and the concept of cloud engineering was officially introduced in April 2009. Various aspects and topics of this subject have been extensively covered in a number of industry events. Extensive research has been conducted on specific areas in cloud engineering, such as development support for cloud patterns, and cloud business continuity services. The first IEEE International Conference on Cloud Engineering (IC2E) took place on March 25–28, 2013 and the second conference was held on March 10–14, 2014.
Cloud engineering The professionals who work in the field of cloud engineering are primarily cloud architects and engineers. The key skills possessed by cloud engineering professionals are:
Google Cloud Print On July 23, 2013 Google updated the service to allow printing from any Windows application, if Google Cloud Printer is installed on the machine. Another new feature is Google Cloud Print Service, which can run as a Windows service so administrators can connect legacy printers to Google Cloud Print in their businesses.
NIWA Cloud Application Platform NIWA Cloud Application Platform is a platform as a service (PaaS) cloud computing platform for developing and hosting web application.
Google Cloud Dataproc Cloud Dataproc is a Platform as a service (PaaS) product designed to combine the Spark and Hadoop frameworks with many common cloud computing patterns. Cloud Dataproc separate compute and storage, which is a relatively common design for many cloud Hadoop offerings. Cloud Dataproc utilizes Google Compute Engine virtual machines for compute and Google Cloud Storage for file storage. Cloud Dataproc has a set of control and integration mechanisms that coordinate the lifecycle, management, and coordination of clusters. Cloud Dataproc is integrated with the YARN application manager to make managing and using clusters easier.
SAP Cloud Platform SAP Cloud Platform, developer edition offers users easy and free way to explore SAP Cloud Platform and it's capabilities. In addition to 1GB shared SAP HANA, SAP Cloud Platform provides users to:
List of Google April Fools' Day jokes The Google Actual Cloud Platform is the world's first public cloud running on servers in the troposphere.
Cloud engineering Cloud engineering is the application of engineering disciplines to cloud computing. It brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. In practice, it leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions. It is about the process of designing the systems necessary to leverage the power and economics of cloud resources to solve business problems.