Let’s take a look at the suite of tools that are essential for companies looking to leverage data in their decision-making: BigQuery: Cloud-based enterprise data warehouse for business intelligence. Cloud Data
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If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format. - eng-atwijukire/GCPSketchnote
Data analytics BigQuery, Cloud Composer, Cloud Data Fusion, Data Catalog, Dataflow, Dataplex, Dataprep, Dataproc, Earth Engine, Looker, Pub/Sub Databases AlloyDB for PostgreSQL, Cloud Bigtable, Cloud Spanner, Cloud SQL, Database Migration Service, Firebase Realtime Database, Firestore, Memorystore...
When to use ELT vs ETL? use ELT when not sure about what kinds of transformations are needed and the transformations can be performed using SQL. use ETL for streaming data and data that's easier to transform using something other than SQL What is Dataflow? Based on Apache Beam. Used to ...
Let’s take a look at the suite of tools that are essential for companies looking to leverage data in their decision-making: BigQuery: Cloud-based enterprise data warehouse for business intelligence. Cloud Dataflow: Service for stream and batch processing. Cloud Data Fusion: ETL service for ...
Cloud Data Fusion🆕: Graphically manage data pipelines🔗📄 Cloud Dataflow: Stream/batch data processing🔗📄 Cloud Datalab: Managed Jupyter notebook🔗📄 Cloud Dataprep: Visual data wrangling🔗📄 Cloud Dataproc: Managed Spark and Hadoop🔗📄 ...
Let’s take a look at the suite of tools that are essential for companies looking to leverage data in their decision-making: BigQuery: Cloud-based enterprise data warehouse for business intelligence. Cloud Dataflow: Service for stream and batch processing. Cloud Data Fusion: ETL service for ...