Build a Data Warehouse with BigQuery
Earned Kas 7, 2024 EST
Streaming Analytics into BigQuery
Earned Kas 6, 2024 EST
BigQuery Verilerinden Analiz Elde Etme
Earned Kas 6, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Eyl 13, 2024 EDT
Google Cloud'da Makine Öğrenimi API'leri İçin Veri Hazırlama
Earned Eyl 13, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Eyl 6, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned Oca 25, 2024 EST
Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.
Learn more
Earn a skill badge by completing the Streaming Analytics into BigQuery skill badge course, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics.
Learn more
Giriş düzeyindeki BigQuery Verilerinden Analiz Elde Etme beceri rozetini alarak şu konulardaki becerilerinizi gösterin: SQL sorguları yazma, herkese açık tabloları sorgulama, örnek verileri BigQuery'ye yükleme, BigQuery'deki sorgu doğrulayıcı ile yaygın söz dizimi sorunlarını giderme ve BigQuery verilerine bağlanarak Looker Studio'da rapor oluşturma.
Learn more
While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
Learn more
Giriş düzeyindeki Google Cloud'da Makine Öğrenimi API'leri İçin Veri Hazırlama beceri rozetini tamamlayarak şu konulardaki becerilerinizi gösterin: Dataprep by Trifacta ile veri temizleme, Dataflow'da veri ardışık düzenleri çalıştırma, Dataproc'ta küme oluşturma ve Apache Spark işleri çalıştırma ve makine öğrenimi API'lerini (Cloud Natural Language API, Google Cloud Speech-to-Text API ve Video Intelligence API dahil olmak üzere) çağırma.
Learn more
Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.
Learn more
Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
Build a Data Warehouse with BigQuery
Earned Kas 7, 2024 EST
Streaming Analytics into BigQuery
Earned Kas 6, 2024 EST
BigQuery Verilerinden Analiz Elde Etme
Earned Kas 6, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Eyl 13, 2024 EDT
Google Cloud'da Makine Öğrenimi API'leri İçin Veri Hazırlama
Earned Eyl 13, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Eyl 6, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned Oca 25, 2024 EST