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Salahuddin Hairai

Menjadi anggota sejak 2013

Silver League

5700 poin
Membangun Situs di Google Cloud Earned Agu 10, 2023 EDT
Mengimplementasikan Cloud Load Balancing untuk Compute Engine Earned Agu 10, 2023 EDT
Deployment & Management Earned Okt 27, 2019 EDT
Security on AWS Earned Okt 19, 2019 EDT
Dasar-Dasar DevOps Earned Sep 29, 2019 EDT
DEPRECATED BigQuery for Marketing Analysts Earned Sep 15, 2019 EDT
DEPRECATED BigQuery for Data Analysis Earned Sep 15, 2019 EDT
DEPRECATED BigQuery for Data Warehousing Earned Sep 15, 2019 EDT
Serverless Design with AWS Lambda Earned Sep 15, 2019 EDT
DEPRECATED BigQuery Basics for Data Analysts Earned Sep 14, 2019 EDT
Serverless Web Apps using Amazon DynamoDB Earned Sep 10, 2019 EDT
Cloud Engineering Earned Sep 7, 2019 EDT
Cloud Hero Speedrun: BigQuery for Data Analysis Earned Sep 7, 2019 EDT
30 Days of Data Challenge: Invitational Game Earned Sep 6, 2019 EDT
DEPRECATED Cloud Architecture Earned Agu 31, 2019 EDT
Kubernetes di Google Cloud Earned Agu 30, 2019 EDT
Dasar Pengukuran: Infrastruktur Earned Agu 30, 2019 EDT
[DEPRECATED] Data Engineering Earned Agu 16, 2019 EDT
Dasar pengukuran: Data, ML, AI Earned Agu 16, 2019 EDT
Dasar-Dasar Google Cloud Earned Agu 15, 2019 EDT
Storage & CDN Earned Mar 31, 2016 EDT
Big Data on AWS Earned Mar 31, 2016 EDT
Digital Media Earned Mar 31, 2016 EDT
Websites & Web Apps Earned Sep 11, 2015 EDT
Compute & Networking Earned Sep 11, 2015 EDT

Dapatkan badge keahlian pengantar dengan menyelesaikan kursus badge keahlian Membangun Situs di Google Cloud. Kursus ini didasarkan pada serial Get Cooking in Cloud dan mencakup:Men-deploy situs di Cloud RunMenghosting aplikasi web di Compute EngineMembuat, men-deploy, dan menskalakan situs Anda di Google Kubernetes EngineBermigrasi dari aplikasi monolitik ke arsitektur microservice menggunakan Cloud Build

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Selesaikan badge keahlian pengantar Mengimplementasikan Cloud Load Balancing untuk Compute Engine untuk menunjukkan keterampilan dalam hal berikut: membuat dan men-deploy virtual machine di Compute Engine serta mengonfigurasi load balancer aplikasi dan jaringan.

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In this quest, you’ll learn to work with services related to Deployment and Management, including AWS Identity and Access Management (IAM), AWS Elastic Beanstalk, AWS CloudFormation, and AWS OpsWorks.

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This quest is designed to teach you how to apply AWS Identity and Access Management, in concert with several other AWS Services, to address real-world application and service security management scenarios.

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Dapatkan keunggulan kompetitif melalui DevOps. DevOps adalah inisiatif organisasi dan budaya yang bertujuan meningkatkan kecepatan pengiriman software, meningkatkan keandalan layanan, dan membangun kepemilikan bersama di antara para pemangku kepentingan software. Dalam kursus ini, Anda akan mempelajari cara menggunakan Google Cloud untuk meningkatkan kecepatan, stabilitas, ketersediaan, dan keamanan kemampuan pengiriman software Anda. DevOps Research and Assessment telah bergabung dengan Google Cloud. Bagaimana performa tim Anda? Ikuti kuis pilihan ganda yang berisi lima pertanyaan ini dan temukan jawabannya.

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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. 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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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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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 Quest, you will learn how to write functions with the AWS Lambda Service that respond to events and integrate other AWS Services. You will create applications that write records to Amazon DynamoDB, send messages with Amazon SNS, and monitor events in Amazon CloudWatch and external services. You will even write a back-end function in Lambda for creating a voice-response app for Alexa and the Amazon Echo.

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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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Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. This quest will show how to design, build, and deploy interactive serverless web applications, using a simple HTML/JavaScript web interface which uses Amazon API Gateway calls to send requests to AWS Lambda backends that query Amazon DynamoDB data.

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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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You have data. We have analysis tools. Let's talk! In today's game, you will explore how Google Cloud can help you take advantage of the information you already have. Get hands-on practice with SQL, BigQuery and Data Studio, three tools we promise you will use again.

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Welcome, gamers! Congratulations on completing the 30-day challenge and earning the Data Engineering badge. You're invited to put your new skills to the test and watch your name move on the leaderboard. (Hopefully upwards!) You might even be eligible for prizes: http://bit.ly/2lDV7RB

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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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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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Jika Anda adalah developer cloud pemula yang mencari praktik langsung di luar Google Cloud Essentials, kursus ini cocok untuk Anda. Anda akan mendapatkan pengalaman praktis melalui lab yang mendalami Cloud Storage dan layanan aplikasi utama lainnya seperti Monitoring dan Cloud Functions. Anda akan mengembangkan keahlian berharga yang dapat diterapkan untuk inisiatif Google Cloud apa pun.

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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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Big data, machine learning, dan kecerdasan buatan menjadi topik komputasi yang populer saat ini, tetapi bidang tersebut sangat terspesialisasi dan materi pengantarnya sulit diperoleh. Untungnya, Google Cloud menyediakan layanan yang mudah digunakan dalam bidang tersebut, dan melalui kursus tingkat pengantar ini, Anda dapat mengambil langkah pertama dengan alat seperti BigQuery, Cloud Speech API, dan Video Intelligence.

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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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In this Quest, you’ll learn to work with services related to Storage and Content Delivery Networks, including Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon CloudFront.

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Scientists, developers, and other technologists from many different industries are taking advantage of AWS to perform big data analytics and meet the challenges of the increasing volume, variety, and velocity of digital information. AWS offers a portfolio of cloud computing services to help you manage big data by reducing costs, scaling to meet demand, and increasing the speed of innovation. In this quest, you’ll learn to work with foundational services for Big Data.

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AWS provides a set of on-demand storage, archive, transcoding, and streaming services for businesses that are running photo, video, and file storage applications in the cloud. In this quest, you’ll learn to work with foundational services for digital media on AWS.

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AWS offers services that provide businesses with a flexible, highly scalable, and low-cost way to deliver their websites and web applications. In this quest, you’ll learn to work with foundational services for marketing websites on AWS.

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In this quest, you’ll learn to work with services related to Compute and Networking, including Amazon EC2, Amazon Elastic Load Balancing, and Amazon Virtual Private Cloud (VPC).

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