Wykorzystuj swoje umiejętności w konsoli Google Cloud
Maciej Dąbrowski
Jest członkiem od 2023
Liga diamentowa
15920 pkt.
Build Data Lakes and Data Warehouses on Google Cloud
Earned cze 27, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned cze 5, 2024 EDT
Share Data Using Google Data Cloud
Earned maj 19, 2024 EDT
Streaming Analytics into BigQuery
Earned maj 18, 2024 EDT
Build a Data Warehouse with BigQuery
Earned maj 18, 2024 EDT
Uzyskiwanie statystyk z danych BigQuery
Earned maj 7, 2024 EDT
Przygotowywanie danych do użycia z interfejsami ML w Google Cloud
Earned maj 6, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned mar 31, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned sty 17, 2024 EST
Prepare Data for Looker Dashboards and Reports
Earned sty 15, 2024 EST
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.
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Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.
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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.
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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.
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Ukończ szkolenie wprowadzające Uzyskiwanie statystyk z danych BigQuery, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: pisanie zapytań SQL, tworzenie zapytań dotyczących tabel publicznych, wczytywanie przykładowych danych w BigQuery, naprawianie typowych błędów składniowych przy użyciu walidatora zapytań w BigQuery oraz tworzenie raportów w Looker Studio przez tworzenie połączenia z danymi BigQuery.
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Ukończ szkolenie wprowadzające Przygotowywanie danych do użycia z interfejsami ML w Google Cloud, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: czyszczenie danych przy użyciu usługi Dataprep firmy Trifacta, uruchamianie potoków danych w Dataflow, tworzenie klastrów i uruchamianie zadań Apache Spark w Dataproc, a także wywoływanie interfejsów API dotyczących uczenia maszynowego, w tym Cloud Natural Language API, Google Cloud Speech-to-Text API oraz Video Intelligence API.
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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.
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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.
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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.
Build Data Lakes and Data Warehouses on Google Cloud
Earned cze 27, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned cze 5, 2024 EDT
Share Data Using Google Data Cloud
Earned maj 19, 2024 EDT
Streaming Analytics into BigQuery
Earned maj 18, 2024 EDT
Build a Data Warehouse with BigQuery
Earned maj 18, 2024 EDT
Uzyskiwanie statystyk z danych BigQuery
Earned maj 7, 2024 EDT
Przygotowywanie danych do użycia z interfejsami ML w Google Cloud
Earned maj 6, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned mar 31, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned sty 17, 2024 EST
Prepare Data for Looker Dashboards and Reports
Earned sty 15, 2024 EST