회원 가입일: 2021
Cloud SQL
Earned 11월 13, 2021 EST
DEPRECATED BigQuery Basics for Data Analysts
Earned 11월 13, 2021 EST
BigQuery로 데이터 웨어하우스 빌드
Earned 11월 13, 2021 EST
NCAA® March Madness®: Bracketology with Google Cloud
Earned 11월 13, 2021 EST
Machine Learning APIs
Earned 11월 12, 2021 EST
BigQuery 데이터에서 인사이트 도출
Earned 10월 30, 2021 EDT
Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.
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.
중급 BigQuery로 데이터 웨어하우스 빌드 기술 배지를 완료하여 데이터를 조인하여 새 테이블 만들기, 조인 관련 문제 해결, 합집합으로 데이터 추가, 날짜로 파티션을 나눈 테이블 만들기, BigQuery에서 JSON, 배열, 구조체 작업하기와 관련된 기술 역량을 입증하세요.
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.
It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
초급 BigQuery 데이터에서 인사이트 도출 기술 배지 과정을 완료하여 SQL 쿼리 작성, 공개 테이블 쿼리, BigQuery로 샘플 데이터 로드, BigQuery의 쿼리 검사기를 통한 일반적인 문법 오류 문제 해결, BigQuery 데이터를 연결해 Data Studio에서 보고서를 생성하는 작업과 관련된 기술 역량을 입증하세요.