Install Google Cloud SDK following the instructions here for your respective OS. You will need this value in the next step. Note the billing ID with the following format in the Billing Page: #-#-#. Therefore, our first step to creating a Google account and enable billing. The Terraform code in this project will interact with the Google Cloud Platform. ![]() Get Started Create a Google Cloud account and enable billing Service accounts for different services & their IAM permission bindings.BI & data discovery: a GCE instance running Metabase.Orchestration (optional): a GCE instance running Airflow.Ingestion: a GCE instance running Airbyte.A Google Cloud project with the necessary API enabled.If you follow the instructions below, here are the resources that will be created. We will be using Terraform, an infrastructure-as-code open-source tool to provision everything in Google Cloud. There are many preparation steps, but it only takes five minutes to spin up all resources once you are done.Ī Modern Data Stack Architecture (image by author) This article aims to help you get started on this journey as seamlessly as possible. Getting started with the Modern Data Stack can be daunting as many different tools and processes are involved. ![]() Some tools that I think are heading in the right direction are Looker, Metabase, and Superset. However, with the modern data stack, BI tools’ focus has been shifted (in my opinion) to democratize data access, self-service, and data discovery. Most notable in this category are dbt (data build tool) and Dataform.īI tools used to take care of some transformations to reduce the workload on legacy data warehouses too. With the advancement of cloud-native data warehouses, however, many in-data-warehouse transformation tools are becoming popular. As a result, companies had to favor ETL instead of ELT to reduce the workload of the data warehouse. In the old day, processing data inside the data warehouse was the bottleneck due to the technology’s limitation. Popular options in this category are BigQuery, Snowflake, and Redshift. Cloud-native data warehouses are said to be 10–10000x times faster than a traditional OLTP. Instead of paying $100K per year for an on-premise MPP (massively parallel processing) database, you can start paying from $100 (or less) per month. Using a cloud-based columnar data warehouse has been the trend recently due to its high performance and cost-effectiveness. Managed solutions like Stitch and Fivetran, together with open-source solutions like Airbyte and Meltano, are making this happen. ![]() What used to take a team of data engineers to build and maintain regularly can now be replaced with a tool for simple use cases. The four pillars of an MDS are a data connector, a cloud data warehouse, a data transformer, and a BI & data exploration tool.Įasy integration is made possible with managed & open-source tools that pre-build hundreds of ready-to-use connectors. ![]() Ultimately, an MDS saves time, money, and effort. A Modern Data Stack Architecture (image by author) What is a Modern Data StackĪ Modern Data Stack (MDS) is a stack of technologies that makes a modern data warehouse perform 10–10000x better than a legacy data warehouse.
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