Jorge Perez
Menjadi anggota sejak 2019
Bronze League
2700 poin
Cloud Engineering
Earned Jan 7, 2020 EST
Cloud Hero: Smart Analytics
Earned Okt 2, 2019 EDT
DEPRECATED BigQuery for Data Analysis
Earned Sep 13, 2019 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Sep 12, 2019 EDT
DEPRECATED BigQuery for Data Warehousing
Earned Sep 11, 2019 EDT
Google Cloud Solutions I: Scaling Your Infrastructure
Earned Sep 3, 2019 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Agu 29, 2019 EDT
Google Kubernetes Engine Best Practices
Earned Agu 14, 2019 EDT
Cloud Architecture - Design, Implement, and Manage
Earned Agu 8, 2019 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Agu 2, 2019 EDT
Scientific Data Processing
Earned Jul 26, 2019 EDT
DEPRECATED Cloud Architecture
Earned Jul 23, 2019 EDT
30 Day Challenge Invitational
Earned Jul 19, 2019 EDT
BigQuery untuk Machine Learning
Earned Jul 12, 2019 EDT
[DEPRECATED] Data Engineering
Earned Jul 2, 2019 EDT
Deprecated Kubernetes Solutions
Earned Jun 30, 2019 EDT
Kubernetes di Google Cloud
Earned Jun 17, 2019 EDT
Dasar-Dasar Google Cloud
Earned Jun 16, 2019 EDT
Kursus pengantar ini unik dibandingkan penawaran kursus lainnya. Semua lab dalam kursus ini telah diseleksi untuk membekali profesional IT dengan praktik langsung terkait berbagai topik dan layanan yang muncul di Sertifikasi Associate Cloud Engineer yang Tersertifikasi Google Cloud. Dari IAM, networking, hingga deployment Kubernetes Engine, kursus ini terdiri atas beberapa lab khusus yang akan menguji pengetahuan Anda terkait Google Cloud. Perlu diketahui bahwa meskipun praktik dalam lab akan meningkatkan keterampilan dan kemampuan Anda, sebaiknya Anda juga meninjau panduan ujian dan referensi persiapan lainnya yang tersedia.
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Are you getting the most out of your data? Take advantage of the business insights you already have with the power of Google Cloud's analysis tools. Dive deep into key solutions to common use cases and gain hands-on experience with Data Studio, BigQuery and more data tools, plus score points and compete with other players in today's game.
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Want to learn the core SQL and visualization skills of a Data Analyst? Interested in how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.
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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Get Anthos Ready. Demand for Google Kubernetes Engine is growing, and customers are looking to Google and its partners to provide in-depth technical knowledge. This first Google Kubernetes Engine-centric Quest of best practices hands-on labs will get you started containerizing to modernize in place , and then managing your deployed apps and services -- with monitoring, tracing, and logging.
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This quest of "Challenge Labs" gives the student preparing for the Google Cloud Certified Professional Cloud Architect certification hands-on practice with common business/technology solutions using Google Cloud architectures. Challenge Labs do not provide the "cookbook" steps, but require solutions to be built with minimal guidance, across many Google Cloud technologies. All labs have activity tracking, and in order to earn this badge you must score 100% in each lab. This quest is not easy and will put your Google Cloud technology skills to the test! Be aware that while practice with these labs will increase your knowledge and abilities, additional study, experience, and background in cloud architecture is recommended to prepare for this certification. Complete this quest to receive an exclusive Google Cloud digital badge.
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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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Big data, machine learning, and scientific data? It sounds like the perfect match. In this course, you will get hands-on practice with GCP services like BigQuery, Managed Service for Apache Spark, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
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Quest level dasar ini berbeda dengan penawaran Qwiklabs lainnya. Semua lab yang termasuk dalam level ini telah diseleksi untuk membekali profesional IT dengan praktik langsung tentang berbagai topik dan layanan yang diujikan dalam Sertifikasi Google Cloud Certified Professional Cloud Architect . Dari IAM, hingga jaringan, dan penerapan Kubernetes Engine, quest ini tersusun atas sejumlah lab spesifik yang akan menguji pengetahuan Anda tentang GCP. Harap diketahui bahwa, meskipun praktik dengan lab ini akan meningkatkan keterampilan dan kemampuan Anda, sebaiknya Anda juga mempelajari panduan ujian serta referensi persiapan lain yang tersedia.
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Welcome, gamers! Congratulations on completing the 30-day challenge. You're invited to put your new Kubernetes knowledge to the test and watch your name move on the leaderboard. (Hopefully upwards!) You might even win a prize: http://bit.ly/30-days-of-kubernetes
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Ingin membangun model ML dalam hitungan menit, bukan jam, hanya dengan menggunakan SQL? BigQuery ML memperluas akses machine learning dengan memungkinkan analis data membuat, melatih, mengevaluasi, dan memprediksi sesuatu dengan model machine learning menggunakan alat serta keterampilan SQL yang ada. Dalam rangkaian lab ini, Anda akan bereksperimen dengan beragam jenis model dan mempelajari ciri-ciri model yang baik.
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This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
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Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 8 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.
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Kubernetes adalah sistem orkestrasi container paling populer, dan Google Kubernetes Engine dirancang secara khusus untuk mendukung deployment Kubernetes terkelola di Google Cloud. Dalam kursus tingkat lanjut ini, Anda akan mendapatkan praktik langsung dalam mengonfigurasi Image Docker, container, serta men-deploy aplikasi Kubernetes Engine yang sepenuhnya lengkap dan siap produksi. Kursus ini akan mengajari Anda keterampilan praktis yang diperlukan untuk mengintegrasikan orkestrasi container ke dalam alur kerja Anda sendiri. Apakah Anda sedang mencari challenge lab interaktif untuk menunjukkan keterampilan Anda dan menguji pengetahuan yang dimiliki? Setelah menyelesaikan kursus ini, selesaikan Challenge Lab tambahan di akhir kursus Men-deploy Aplikasi Kubernetes di Google Cloud untuk menerima badge digital eksklusif Google Cloud.
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Dalam kursus tingkat pemula ini, Anda akan mendapatkan praktik langsung dengan alat dan layanan dasar Google Cloud. Video opsional disediakan untuk memberikan konteks dan ulasan lebih lanjut mengenai konsep-konsep yang dibahas dalam lab ini. Dasar-Dasar Google Cloud adalah kursus pertama yang direkomendasikan bagi peserta kursus Google Cloud— Anda bisa mengikutinya dengan pengetahuan yang minim atau tanpa pengetahuan sama sekali tentang cloud, dan mendapatkan pengalaman praktis yang dapat diterapkan pada project Google Cloud pertama Anda setelah menyelesaikan kursus ini. Mulai dari menulis perintah Cloud Shell dan men-deploy virtual machine pertama Anda, hingga menjalankan aplikasi di Kubernetes Engine atau dengan load balancing, Dasar-Dasar Google Cloud merupakan pengantar utama untuk fitur dasar platform ini.
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