To your Cloud Datalake in different formats (CSV, JSON, PARQUET, etc.).Īs a data engineer you were tasked to automate data loading process into your BigQuery data warehouse. databases, kinesis firehose streams and various notification services. It must be able to scale easily to meet growing data you have.Īll data comes from files from varioius data surces, i.e. Your data stack is modern, event-driven and data intensive.ĭata warehouse solution must be cost-effective and flexible enough so you could add any data source you need. Your team use Node.js a lot.ĭata science team use Python but server and client data pipelines are being created using Node. Your dev stack is hybrid and includes AWS and GCP. Your company is a mobile game development studio and have various products being sold on both platforms, IOS and ANDROID. Imagine you are a Data Engineer and you are working on a project connecting various data sources into your data warehouse in BigQuery. Payment merchant providers, Exchange rates, Geocoding databases, etc.) but if youįollow this tutorial you will become totally capable of doing it yourself. Talking about data extraction and ingestion you would want to use paid and managed tools like Fivetran or Stitch to extract data fromĪny arbitrary data sources (i.e. BI: Looker, Mode, Periscope, Chartio, Metabase, Redash.Warehousing: Snowflake, Bigquery, Redshift.MODERN DATA STACK TOOLS (not a complete list of course): Check the image below to see other options. Create BI reports with Google Data Studio (for example, revenue reconciliation, etc.) or any other Business Intelligence solution.Simplify and automate deployment with Cloudformation or Terraform ( Infrastructure as a code). ![]() Transform data and create documented data pipelines with Git, CI/CD.like I wrote previously about PayPal here and save to the Cloud. setup a pipe to get data from some arbitrary API, i.e. Connect any external data source with ease, i.e. ![]() Usually you would want to put your data warehouse solution (BigQuery, Snowflake or any other) in the center of the diagramme.
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