Google Cloud Analytics & Data
Dataproc
Managed Apache Spark and Hadoop clusters and serverless Spark.
What it is used for
- Spark jobs
- Moving Hadoop workloads
- Large-scale data processing
Equivalent on AWS
The closest AWS service is Amazon EMR: managed big-data platform for Apache Spark, Hadoop, Hive and Presto.
How DomainHostly helps with Dataproc
- Plan: choose the right setup, size and region for your workload and budget.
- Set up securely: configure Dataproc with least-privilege access, encryption and backups where they apply.
- Migrate: move from shared hosting, your own servers or the other cloud with minimal downtime.
- Run and optimise: monitoring, updates and regular cost reviews so you only pay for what you use.
Analytics & Data: Data warehouses, big-data processing, streaming, ETL and business intelligence.
What to consider: Analytics & Data
- Store raw data once in a data lake or warehouse and build reports from that single source.
- Partition and cluster large tables so queries scan, and cost, less.
- Control who can see which datasets, especially personal or financial data.
Related services: Analytics & Data
- BigQuery (Google Cloud)
- Dataflow (Google Cloud)
- Pub/Sub (Google Cloud)
- Managed Service for Apache Kafka (Google Cloud)
- Looker & Looker Studio (Google Cloud)
- Dataplex (Google Cloud)
- Amazon Redshift (AWS)
- Amazon Athena (AWS)
- AWS Glue (AWS)
- Amazon EMR (AWS)