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https://robertsahlin.com/serverless-dbt-on-google-cloud-platform/
Data Build Tool (dbt) is an awesome open source tool founded by dbt labs that also offers a managed service to work with dbt. But you can also host dbt yourself
https://robertsahlin.com/firebase-analytics-enhanced-e-commerce-tracking/
I recently implemented firebase analytics tracking in MatHem’s native apps and in that process I discovered that the documentation about tracking e-commer
https://robertsahlin.com/bigquery-efficient-access-management/
A strategic decision we’ve made at MatHem is to enable users to connect to or data warehous (BigQuery) with whatever tool (tableau, data studio, collab, e
https://robertsahlin.com/get-all-unique-firebase-analytics-events-in-bigquery/
As I mentioned in my earlier post about the drawbacks with the entity-attribute-value data model used in Firebase Analytics and Google Analytics app plus web, i
https://robertsahlin.com/move-data-modeling-upstream/
We will see a lot of data modeling move upstream away from batch modeling in a cloud data warehouse (Modern Data Stack) to the producer continuously generating
https://robertsahlin.com/serverless-static-blog-powered-by-hugo-github-cloud-build-and-firebase/
One of the announcements I liked the most from Google Cloud Next 18 was Google Cloud Build (former Google Container Builder). I’ve been missing easy and l
https://robertsahlin.com/schema-evolution-in-streaming-dataflow-jobs-and-bigquery-tables-part-3/
In the previous post, I covered how we create or patch BigQuery tables without interrupting the real-time ingestion. This post will focus on how we update the d
https://robertsahlin.com/fast-and-flexible-data-pipelines-with-protobuf-schema-registry/
MatHem is growing quickly and so are the requirements for fast and reliable data pipelines. Since I joined the company a little more than one year ago I’v
https://robertsahlin.com/clarifying-analytics-requests--5-x-why---so-what/
Most analysts want to avoid a situation where they spend a lot of time working on ad-hoc, vague and misguided analytics/data requests instead of focusing on hyp
https://robertsahlin.com/validate-and-monitor-your-bigquery-data/
Data observability has gained huge momentum and data quality is essential for any kind of analytical system no matter it is plain old reporting or advanced mach
https://robertsahlin.com/configure-google-analytics-bigquery-export-to-eu-region/
(Updated 2018-01-23): Google has now included my input in the GA360 BigQuery Export documentation for how to geolocate your data in EU.
April 2017 when I tried
https://robertsahlin.com/inmon-vs-kimball-vs-data-vault-vs-wide-tables/
Inmon vs Kimball vs Data Vault? Personally I prefer wide, nested and denormalized tables as data warehouse architecture. Why?
Cloud Data warehouses are designed
https://robertsahlin.com/unlimited-persistent-disk-in-google-cloud-shell/
I use google cloud shell as my primary development environment. By doing that I can easily work from whatever computer I want as long as it has a browser and In
January 2019 when I tried to set up BigQuery export on our Firebase Analytics projects I found out that I couldn’t chose region for the export and that it
https://robertsahlin.com/firebase-logevents-as-doubles-in-a-webview/
Are you planning to use Firebase Analytics in a WebView on Android or iOS? Beware if you want to log doubles (price for example) as event parameters.
Google is
https://robertsahlin.com/google-analytics-campaign-timeout-settings/
Pretty much every Google Analytics configuration I’ve seen have left the default Campaign Timeout Settings untouched. Also, it came to my knowledge that t
https://robertsahlin.com/streaming-analytics-affect-both-tracking-and-analytics/
Streaming Analytics will change the way you should think about both tracking and analytics in digital analytics. How?
Tracking: Since tracking has been focused
https://robertsahlin.com/automatic-builds-and-version-control-of-your-bigquery-views/
We (MatHem) has finally moved our BigQuery view definitions to GitHub and automized builds so that whenever someone in the data team modify/add a view definitio
https://robertsahlin.com/analytics-beacon-transport-mechanism-gotchas/
An important component in DataHem’s measurementprotocol application is the javascript tracker that emitts hits to the AppEngine collector endpoint. It is
https://robertsahlin.com/is-data-mesh-only-for-large-organisations/
Is data mesh only for large organisations? Many data mesh authorities argue that is the case. But I disagree, it isn’t primarily about company size at all
https://robertsahlin.com/flatten-firebase-properties-and-parameters-in-bigquery/
At Google I/O May 2017, Firebase announced Google Analytics for Firebase, a fantastic tool that automatically captures data on how people are using your iOS and
https://robertsahlin.com/flatten-google-analytics-custom-dimensions-with-a-bigquery-udf/
Updated 2018-04-23 with a fourth alternative - Unnest
Are you one of the lucky digital analysts that have a google analytics premium account? (If not, checkout
https://robertsahlin.com/why-google-analytics-app---web-bigquery-export-rocks-and-sucks/
Google recently released Google Analytics App + Web which essentially is something like Firebase Analytics for web (or Google Analytics version 2 if you want to
I’m excited to say that the project I’ve been working on the last year is now released as OpenSource (MIT license). DataHem is a serverless real-tim
https://robertsahlin.com/two-data-platform-kpis/
If I had to choose two Key Performance Indicators for a data platform team: - Time to market for new datasets/pipelines - Data Downtime (periods of time when da
https://robertsahlin.com/google-analytics-custom-dimension-alias-in-bigquery/
Second to being able to export your Google Analytics data to Google BigQuery, the feature I value the most with the premium version of GA is that you are not li
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